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Archive for October, 2012

Is the Warburg Effect the Cause or the Effect of Cancer: A 21st Century View?

Author: Larry H. Bernstein, MD, FCAP  

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word cloud by Danielle Smolyar

A Critical Review

What is the Warburg effect?

“Warburg Effect” describes the preference of glycolysis and lactate fermentation rather than oxidative phosphorylation for energy production in cancer cells. Mitochondrial metabolism is an important and necessary component in the functioning and maintenance of the organelle, and accumulating evidence suggests that dysfunction of mitochondrial metabolism plays a role in cancer. Progress has demonstrated the mechanisms of the mitochondrial metabolism-to-glycolysis switch in cancer development and how to target this metabolic switch.
In vertebrates, food is digested and supplied to cells mainly in the form of glucose. Glucose is broken down further to make Adenosine Triphosphate (ATP) by two pathways. One is via anaerobic metabolism occurring in the cytoplasm, also known as glycolysis. The major physiological significance of glycolysis lies in making ATP quickly, but in a minuscule amount. The breakdown process continues in the mitochondria via the Krebs’s cycle coupled with oxidative phosphorylation, which is more efficient for ATP production. Cancer cells seem to be well-adjust to glycolysis. In the 1920s, Otto Warburg first proposed that cancer cells show increased levels of glucose consumption and lactate fermentation even in the presence of ample oxygen (known as “Warburg Effect”). Based on this theory, oxidative phosphorylation switches to glycolysis which promotes the proliferation of cancer cells. Many studies have demonstrated glycolysis as the main metabolic pathway in cancer cells.
Why cancer cells prefer glycolysis, an inefficient metabolic pathway?

It is now accepted that glycolysis provides cancer cells with the most abundant extracellular nutrient, glucose, to make ample ATP metabolic intermediates, such as ribose sugars, glycerol and citrate, nonessential amino acids, and the oxidative pentose phosphate pathway, which serve as building blocks for cancer cells.
Since, cancer cells have increased rates of aerobic glycolysis, investigators argue over the function of mitochondria in cancer cells. Mitochondrion, a one of the smaller organelles, produces most of the energy in the form of ATP to supply the body. In Warburg’s theory, the function of cellular mitochondrial respiration is dampened and mitochondria are not fully functional. There are many studies backing this theory. A recent review on hypoxia nicely summarizes some current studies and speculates that the “Warburg Effect” provides a benefit to the tumor not by increasing glycolysis but by decreasing mitochondrial activity.
Glycolysis
Glycolysis is enhanced and beneficial to cancer cells. The mammalian target of rapamycin (mTOR) has been well discussed in its role to promote glycolysis; recent literature has revealed some new mechanisms of how glycolysis is promoted during skin cancer development.
On the other hand, Akt is not only involved in the regulation of mitochondrial metabolism in skin cancer but also of glycolysis. Activation of Akt has been found to phosphorylate FoxO3a, a downstream transcription factor of Akt, which promotes glycolysis by inhibiting apoptosis in melanoma. In addition, activated Akt is also associated with stabilized c-Myc and activation of mTOR, which both increase glycolysis for cancer cells.
Nevertheless, ras mutational activation prevails in skin cancer. Oncogenic ras induces glycolysis. In human squamous cell carcinoma, the c-Jun NH(2)-terminal Kinase (JNK) is activated as a mediator of ras signaling, and is essential for ras-induced glycolysis, since pharmacological inhibitors if JNK suppress glycolysis. CD147/basigin, a member of the immunoglobulin superfamily, is high expressed in melanoma and other cancers.
Glyoxalase I (GLO1) is a ubiquitous cellular defense enzyme involved in the detoxification of methylglyoxal, a cytotoxic byproduct of glycolysis. In human melanoma tissue, GLO1 is upregulated at both the mRNA and protein levels.
Knockdown of GLO1 sensitizes A375 and G361 human metastatic melanoma cells to apoptosis.
The transcription factor HIF-1 upregulates a number of genes in low oxygen conditions including glycolytic enzymes, which promotes ATP synthesis in an oxygen independent manner. Studies have demonstrated that hypoxia induces HIF-1 overexpression and its transcriptional activity increases in parallel with the progression of many tumor types. A recent study demonstrated that in malignant melanoma cells, HIF-1 is upregulated, leading to elevated expression of Pyruvate Dehydrogenase Kinase 1 (PDK1), and downregulated mitochondrial oxygen consumption.
The M2 isoform of Pyruvate Kinase (PKM2), which is required for catalyzing the final step of aerobic glycolysis, is highly expressed in cancer cells; whereas the M1 isoform (PKM1) is expressed in normal cells. Studies using the skin cell promotion model (JB6 cells) demonstrated that PKM2 is activated whereas PKM1 is inactivated upon tumor promoter treatment. Acute increases in ROS inhibited PKM2 through oxidation of Cys358 in human lung cancer cells. The levels of ROS and stage of tumor development may be pivotal for the role of PKM2.

Mitochondrial metabolism and glycolysis targeting for cancer drug delivery
In cancer cells including skin cancer cells, the metabolic shift is composed of increased glycolysis, activation of anabolic pathways including amino acid and pentose phosphate production, and increased fatty acid biosynthesis. More and more studies have converged on particular glycolytic and mitochondrial metabolic targets for cancer drug discovery.
A marker for increased glycolysis in melanoma is the elevated levels of Lactate Dehydrogenase (LDH) in the blood of patients with melanoma, which has proven to be an accurate predictor of prognosis and response to treatments. LDH converts pyruvate, the final product of glycolysis, to lactate when oxygen is absent. High concentrations of lactate, in turn, negatively regulate LDH. Therefore, targeting acid excretion may provide a feasible and effective therapeutic approach for melanoma. For instance, JugloSne, a main active component in walnut, has been used in traditional medicines. Studies have shown that Juglone causes cell membrane damage and increased LDH levels in a concentration-dependent manner in cultured melanoma cells. As one of the rate-limiting enzyme of glycolysis, 6-phosphofructo-2-kinase/fructose-2,6-bisphosphatase isozyme 3 (PFKFB3) is activated in neoplastic cells. Studies have confirmed that an inhibitor of PFKFB3, 3-(3-pyridinyl)-1-(4-pyridinyl)-2-propen-1-one (3PO), suppresses glycolysis in neoplastic cells. In melanoma cell lines, the concentrations of Fru-2, 6-BP, lactate, ATP, NAD+, and NADH are diminished by 3PO. Therefore, targeting PFKFB3 using 3PO and other PFKFB3 specific inhibitors could be effective in melanoma chemotherapy.
A new NO (nitric oxide) donating compound [(S,R)-3-phenyl-4,5-dihydro-5-isoxazole acetic acid–nitric oxide (GIT-27NO)] has been tested in treating melanoma cells. The results suggest that GIT-27/NO causes a dose-dependent reduction of mitochondrial respiration in treated A375 human melanoma cells.

At least two mitochondrial enzymes are affected by angiostatin which include malate dehydrogenase, a member of the Kreb’s cycle enzymes; and adenosine triphosphate synthase. Both are identified potential angiostatin-binding partners. Treated with angiostatin, the ATP concentrations of A2058 cells were decreased. Meanwhile, using siRNA of these two enzymes also inhibited the ATP production. PKM2 is up regulated in the early stage of skin carcinogenesis, therefore, targeting PKM2 could serve as a new approach for skin cancer prevention and therapy.
The signaling pathways critical for this glycolytic activation could serve as preventive and therapeutic targets for human skin cancer.

The Historical Challenge posed by the Warburg Hypothesis.

Impaired cellular energy metabolism is the defining characteristic of nearly all cancers regardless of cellular or tissue origin. In contrast to normal cells, which derive most of their usable energy from oxidative phosphorylation, most cancer cells become heavily dependent on substrate level phosphorylation to meet energy demands. Evidence is reviewed supporting a general hypothesis that genomic instability and essentially all hallmarks of cancer, including aerobic glycolysis (Warburg effect), can be linked to impaired mitochondrial function and energy metabolism.
In a landmark review, six essential alterations in cell physiology could underlie malignant cell growth. These six alterations were described as the hallmarks of nearly all cancers and included,

  • self-sufficiency in growth signals,
  • insensitivity to growth inhibitory (antigrowth) signals,
  • evasion of programmed cell death (apoptosis),
  • limitless replicative potential,
  • sustained vascularity (angiogenesis), and
  • tissue invasion and metastasis.

Genome instability, leading to increased mutability, was considered the essential enabling characteristic for manifesting the six hallmarks. The loss of genomic “caretakers” or “guardians”, involved in sensing and repairing DNA damage, was proposed to explain the increased mutability of tumor cells. The loss of these caretaker systems would allow genomic instability thus enabling pre-malignant cells to reach the six essential hallmarks of cancer.
In addition to the six recognized hallmarks of cancer, aerobic glycolysis or the Warburg effect is also a robust metabolic hallmark of most tumors. Aerobic glycolysis in cancer cells involves elevated glucose uptake with lactic acid production in the presence of oxygen. This metabolic phenotype is the basis for tumor imaging using labeled glucose analogues and has become an important diagnostic tool for cancer detection and management. Genes for glycolysis are overexpressed in the majority of cancers examined.
Although aerobic glycolysis and anaerobic glycolysis are similar in that lactic acid is produced under both situations, aerobic glycolysis can arise in tumor cells from damaged respiration whereas anaerobic glycolysis arises from the absence of oxygen. As oxygen will reduce anaerobic glycolysis and lactic acid production in most normal cells (Pasteur effect), the continued production of lactic acid in the presence of oxygen can represent an abnormal Pasteur effect. This is the situation in most tumor cells.
Warburg proposed with considerable certainty and insight that irreversible damage to respiration was the prime cause of cancer. Warburg’s biographer, Hans Krebs, mentioned that Warburg’s idea on the primary cause of cancer, i.e., the replacement of respiration by fermentation (glycolysis), was only a symptom of cancer and not the cause. While there is renewed interest in the energy metabolism of cancer cells, it is widely thought that the Warburg effect and the metabolic defects expressed in cancer cells arise primarily from genomic mutability selected during tumor progression. Emerging evidence, however, questions the genetic origin of cancer and suggests that cancer is primarily a metabolic disease.
Genomic mutability and essentially all hallmarks of cancer, including the Warburg effect, can be linked to impaired respiration and energy metabolism. In brief, damage to cellular respiration precedes and underlies the genome instability that accompanies tumor development. Once established, genome instability contributes to further respiratory impairment, genome mutability, and tumor progression. In other words, effects become causes. This hypothesis is based on evidence that nuclear genome integrity is largely dependent on mitochondrial energy homeostasis and that all cells require a constant level of useable energy to maintain viability. While Warburg recognized the centrality of impaired respiration in the origin of cancer, he did not link this phenomenon to what are now recognize as the hallmarks of cancer.
Abnormal metabolism of tumors, a selective advantage
The initial observation of Warburg 1916 on tumor glycolysis with lactate production is still a crucial observation. Two fundamental findings complete the metabolic picture:

  • the discovery of the M2 pyruvate kinase (PK) typical of tumors
  • and the implication of tyrosine kinase signals and subsequent phosphorylations in the M2 PK blockade.

A typical feature of tumor cells is a glycolysis associated to an inhibition of apoptosis. Tumors overexpress the high affinity hexokinase 2, which strongly interacts with the mitochondrial ANT-VDAC-PTP complex. In this position, close to the ATP/ADP exchanger (ANT), the hexokinase receives efficiently its ATP substrate. As long as hexokinase occupies this mitochondria site, glycolysis is efficient. However, this has another consequence, hexokinase pushes away from the mitochondria site the permeability transition pore (PTP), which inhibits the release of cytochrome C, the apoptotic trigger. The site also contains a voltage dependent anion channel (VDAC) and other proteins. The repulsion of PTP by hexokinase would reduce the pore size and the release of cytochrome C. Thus, the apoptosome-caspase proteolytic structure does not assemble in the cytoplasm. The liver hexokinase or glucokinase, is different it has less interaction with the site, has a lower affinity for glucose; because of this difference, glucose goes preferentially to the brain.
Further, phosphofructokinase gives fructose 1-6 bisphosphate; glycolysis is stimulated if an allosteric analogue, fructose 2-6 bis phosphate increases in response to a decrease of cAMP. The activation of insulin receptors in tumors has multiple effects, among them; a decrease of cAMP, which will stimulate glycolysis. Another control point is glyceraldehyde P dehydrogenase that requires NAD+ in the glycolytic direction. If the oxygen supply is normal, the mitochondria malate/aspartate (MAL/ASP) shuttle forms the required NAD+ in the cytosol and NADH in the mitochondria. In hypoxic conditions, the NAD+ will essentially come via lactate dehydrogenase converting pyruvate into lactate. This reaction is prominent in tumor cells; it is the first discovery of Warburg on cancer.
At the last step of glycolysis, pyruvate kinase (PK) converts phospho-enolpyruvate (PEP) into pyruvate, which enters in the mitochondria as acetyl- CoA, starting the citric acid cycle and oxidative metabolism. To explain the PK situation in tumors we must recall that PK only works in the glycolytic direction, from PEP to pyruvate, which implies that gluconeogenesis uses other enzymes for converting pyruvate into PEP. In starvation, when cells need glucose, one switches from glycolysis to gluconeogenesis and ketogenesis; PK and pyruvate dehydrogenase (PDH) are off, in a phosphorylated form, presumably following a cAMP-glucagon-adrenergic signal. In parallel, pyruvate carboxylase (Pcarb) becomes active.
Moreover, in starvation, much alanine comes from muscle protein proteolysis, and is transaminated into pyruvate. Pyruvate carboxylase first converts pyruvate to OAA and then, PEP carboxykinase converts OAA to PEP etc…, until glucose. The inhibition of PK is necessary, if not one would go back to pyruvate. Phosphorylation of PK, and alanine, inhibit the enzyme.
PK and a PDH of tumors are inhibited by phosphorylation and alanine, like for gluconeogenesis, in spite of an increased glycolysis! Moreover, in tumors, one finds a particular PK, the M2 embryonic enzyme [2,9,10] the dimeric, phosphorylated form is inactive, leading to a “bottleneck “. The M2 PK has to be activated by fructose 1-6 bis P its allosteric activator, whereas the M1 adult enzyme is a constitutive active form. The M2 PK bottleneck between glycolysis and the citric acid cycle is a typical feature of tumor cell glycolysis.
Above the bottleneck, the massive entry of glucose accumulates PEP, which converts to OAA via mitochondria PEP carboxykinase, an enzyme requiring biotine-CO2-GDP. This source of OAA is abnormal, since Pcarb, another biotin-requiring enzyme, should have provided OAA. Tumors may indeed contain “morule inclusions” of biotin-enzyme suggesting an inhibition of Pcarb, presumably a consequence of the maintained citrate synthase activity, and decrease of ketone bodies that normally stimulate Pcarb. The OAA coming via PEP carboxykinase and OAA coming from aspartate transamination or via malate dehydrogenase condenses with acetyl CoA, feeding the elevated tumoral citric acid condensation starting the Krebs cycle.
Thus, tumors have to find large amounts of acetyl CoA for their condensation reaction; it comes essentially from lipolysis and β oxidation of fatty acids, and enters in the mitochondria via the carnitine transporter. This is the major source of acetyl CoA. It is as if the mechanism switching from gluconeogenesis to glycolysis was jammed in tumors, PK and PDH are at rest, like for gluconeogenesis, but citrate synthase is on. Thus, citric acid condensation pulls the glucose flux in the glycolytic direction, which needs NAD+; it will come from the pyruvate to lactate conversion by lactate dehydrogenase (LDH) no longer in competition with a quiescent Pcarb.
Since the citrate condensation consumes acetyl CoA, ketone bodies do not form; while citrate will support the synthesis of triglycerides via ATP citrate lyase and fatty acid synthesis… The cytosolic OAA drives the transaminases in a direction consuming amino acid. The result of these metabolic changes is that tumors burn glucose while consuming muscle protein and lipid stores of the organism. In a normal physiological situation, one mobilizes stores for making glucose or ketone bodies, but not while burning glucose!
The 21st Century Genomic Challenge?
According to the modern understanding of cancer, it is a disease caused by genetic and epigenetic alterations. Although this is now widely accepted, perhaps more emphasis has been given to the fact that cancer is a genetic disease. Numerous studies, including our earlier works, have supported the notion that carcinogenesis involves the activation of tumor-promoting oncogenes and the inactivation of growth-inhibiting tumor suppressor genes. It should be noted that in the post-genome sequencing project period of the 21st century, an in depth investigation of the factors associated with tumorigenesis is required for achieving it. Extensive research is warranted in two areas, namely, tumor bioenergetics and the cancer stem cell (CSC) hypothesis, neither of which received the required attention after the success of the genome sequencing project. An investigation of these two concepts would give rise to a new era in the study of cancer biology. Indeed, recent studies have indicated that the two apparently distinct fields might be related to each other and can converge more rapidly than previously recognized.
Warburg Effect Revisited
Cancer cells rarely depend on mitochondria for respiration and obtain almost half of their ATP by directly metabolizing glucose to lactic acid, even in the presence of oxygen. However, with the discovery that tumors do not show any shift to glycolysis, Warburg’s cancer theory (high lactate production and low mitochondrial respiration in tumor under normal oxygen pressure) was gradually discredited. Otto Warburg won a Nobel Prize in 1931 for the discovery of tumor bioenergetics, which is now commonly used as the basis of positron emission tomography (PET), a highly sensitive noninvasive technique used in cancer diagnosis. The increasing number of recent reports on the Warburg effect has reestablished the significance of this effect in tumorigenesis, indicating that bioenergetics may play a critical role in malignant transformation. Furthermore, it has been reported that TP53, which is one of the most commonly mutated genes in cancer, can trigger the Warburg effect. Glycolytic conversion is initiated in the early stages in cells that are genetically engineered to become cancerous, and the conversion was enhanced as the cells became more malignant. Therefore, the Warburg effect might directly contribute to the initiation of cancer formation not only by enhanced glycolysis but also via decreased respiration in the presence of oxygen, which suppresses apoptosis. This effect may also produce a metabolic shift to enhanced glycolysis and play a role in the early stages of multistep tumorigenesis in vivo.

Cancer Stem Cells (CSC) and Embryonic Stem Cells (ESC)
The importance of the cancer stem cell (CSC) hypothesis in therapy-related resistance and metastasis has been recognized during the past 2 decades. Accumulating evidence suggests that tumor bioenergetics plays a critical role in CSC regulation; this finding has opened up a new era of cancer medicine, which goes beyond cancer genomics.

Embryonic stem (ES) cells and immortalized primary and cancerous cells show a common concerted metabolic shift, including:

  • enhanced glycolysis,
  • decreased apoptosis, and
  • reduced mitochondrial respiration.

This finding reinforces the use of somatic stem cells or metastatic tumor cells in hypoxic niches. Hypoxia appears to regulate the functions of hematopoietic stem cells in the bone marrow and metastatic tumor cells by preserving important stem cell functions, such as:

  • cell cycle control,
  • survival,
  • metabolism, and
  • protection against oxidative stress.

Several companies and laboratories are now attempting to evaluate the bioenergetics associated with tumorigenesis by testing and challenging the available anticancer drugs.

A small population of cancer-initiating cells plays a very important role in current investigations. These CSCs may cause resistance to chemotherapy or radiation therapy or lead to post-therapy recurrence even when most of the cancer cells appear to be dead. In addition to their genetic alterations, CSCs are believed to mimic normal adult stem cells with regard to properties like self-renewal and undifferentiated status, which eventually leads to the formation of differentiated cells. Unlike well-differentiated daughter cells, small populations of CSCs are believed to be more resistant to toxic injuries and chemoradiotherapy. Indeed, the conventional cancer therapies have always been targeted toward proliferating cells. The control of CSCs, which is often exercised in the dormant phase of the cell cycle, can now be applied to achieve complete tumor regression.
Identification of cancer-specific markers
Due to their potential use in clinical applications, the surface markers of CSCs have been studied and identified. Adult stem cells and their malignant counterparts share similar intrinsic and extrinsic factors that regulate the

  • self renewal,
  • differentiation, and
  • proliferation pathways.

The following are the examples of candidate markers: musashi-1 (Msi-1), hairy and enhancer of split homolog-1 (Hes-1), CD133 (prominin-1, Prom1), epithelial cellular adhesion molecule (EpCam), claudin-7,29 CD44 variant isoforms, Lgr5,30Hedgehog (Hh), bone morphogenic protein (Bmp), Notch, and Wnt.
Is cancer a metabolic disease and genomic instability a secondary effect?
Bioenergetics of Cancer Stem Cells
The bioenergetics associated with the adaptation of CSCs to their micro-environment still requires extensive research. Although numerous studied suggested the association between Warburg effect and reduced oxidative stress in cancer, the relevant molecular mechanism was not known until very recently when Ruckenstuhl, et al. reported their findings in a yeast model.

How cancer cells achieve one of the most common phenotypes, namely, the “Warburg effect,” i.e., elevated glycolysis in the presence of oxygen, is still a topic of hypothesis, unless the involvement of glycolysis genes is considered.
The Warburg effect has been observed in differentiating cancer cells (e.g., cells that undergo epithelial-to-mesenchymal and mesenchymal-to-amoeboid transition), cells resistant to anoikis, and cells which interact with the stromal components of the metastatic niche. The epithelial-to-mesenchymal transition is involved in the resistance to chemotherapy in gastrointestinal cancer cells.

Cancer metastasis can be regarded as an integrated “escape program” triggered by redox changes. These alterations might be associated with avoiding oxidative stress in the niche of the tumor cells, or presumably with the response to treatments aimed at genetic targets, such as chemotherapy and radiation.
The introduction of induced pluripotent stem (iPS) cell genes was necessary for inducing the expression of immature status-related proteins in gastrointestinal cancer cells, and that the induced pluripotent cancer (iPC) cells were distinct from natural cancer cells with regard to their sensitivity to differentiation inducing treatment. For the complete eradication of cancer, however, future efforts should be directed toward improving translational research.
Cancer metabolism.
Glycolysis is elevated in tumors, but a pyruvate kinase (PK) “bottleneck” interrupts phosphoenol pyruvate (PEP) to pyruvate conversion. Thus, alanine following muscle proteolysis transaminates to pyruvate, feeding lactate dehydrogenase, converting pyruvate to lactate, (Warburg effect) and NAD+ required for glycolysis. Cytosolic malate dehydrogenase also provides NAD+ (in OAA to MAL direction). Malate moves through the shuttle giving back OAA in the mitochondria. Below the PK-bottleneck, pyruvate dehydrogenase (PDH) is phosphorylated (second bottleneck). However, citrate condensation increases: acetyl-CoA, will thus come from fatty acids b-oxydation and lipolysis, while OAA sources are via PEP carboxy kinase, and malate dehydrogenase, (pyruvate carboxylase is inactive). Citrate quits the mitochondria, (note interrupted Krebs cycle). In the cytosol, ATP citrate lyase cleaves citrate into acetyl CoA and OAA.
Acetyl CoA will make fatty acids-triglycerides. Above all, OAA pushes transaminases in a direction usually associated to gluconeogenesis! This consumes protein stores, providing alanine (ALA); like glutamine, it is essential for tumors. The transaminases output is aspartate (ASP) it joins with ASP from the shuttle and feeds ASP transcarbamylase, starting pyrimidine synthesis. ASP in not processed by argininosuccinate synthetase, which is blocked, interrupting the urea cycle.
Arginine gives ornithine via arginase, ornithine is decarboxylated into putrescine by ornithine decarboxylase. Putrescine and SAM form polyamines (spermine spermidine) via SAM decarboxylase. The other product 5-methylthioadenosine provides adenine. Arginine deprivation should affect tumors. The SAM destruction impairs methylations, particularly of PP2A, removing the “signaling kinase brake”, PP2A also fails to dephosphorylate PK and PDH, forming the “bottlenecks”.

Insulin or IGF actions boost the cellular influx of glucose and glycolysis. However, if the signaling pathway gets out of control, the tyrosine kinase phosphorylations may lead to a parallel PK blockade explaining the tumor bottleneck at the end of glycolysis. Since an activation of enyme kinases may indeed block essential enzymes (PK, PDH and others); in principle, the inactivation of phosphatases may also keep these enzymes in a phosphorylated form and lead to a similar bottleneck and we do know that oncogenes bind and affect PP2A phosphatase. In sum, a perturbed MAP kinase pathway, elicits metabolic features that would give to tumor cells their metabolic advantage.

Warburg effect and the prognostic value of stromal caveolin-1 as a marker of a lethal tumor microenvironment
Cancer cells show a broad spectrum of bioenergetic states, with some cells using aerobic glycolysis while others rely on oxidative phosphorylation as their main source of energy. In addition, there is mounting evidence that metabolic coupling occurs in aggressive tumors, between epithelial cancer cells and the stromal compartment, and between well-oxygenated and hypoxic compartments. We recently showed that oxidative stress in the tumor stroma, due to aerobic glycolysis and mitochondrial dysfunction, is important for cancer cell mutagenesis and tumor progression. More specifically, increased autophagy/mitophagy in the tumor stroma drives a form of parasitic epithelial-stromal metabolic coupling. These findings explain why it is effective to treat tumors with either inducers or inhibitors of autophagy, as both would disrupt this energetic coupling. We also discuss evidence that glutamine addiction in cancer cells produces ammonia via oxidative mitochondrial metabolism.

Ammonia production in cancer cells, in turn, could then help maintain autophagy in the tumor stromal compartment. In this vicious cycle, the initial glutamine provided to cancer cells would be produced by autophagy in the tumor stroma. Thus, we believe that parasitic epithelial-stromal metabolic coupling has important implications for cancer diagnosis and therapy, for example, in designing novel metabolic imaging techniques and establishing new targeted therapies. In direct support of this notion, we identified a loss of stromal caveolin-1 as a marker of oxidative stress, hypoxia, and autophagy in the tumor microenvironment, explaining its powerful predictive value. Loss of stromal caveolin-1 in breast cancers is associated with early tumor recurrence, metastasis, and drug resistance, leading to poor clinical outcome.
The conventional ‘Warburg effect’ versus oxidative mitochondrial metabolism
Warburg’s original work indicated that while glucose uptake and lactate production are greatly elevated, a cancer cell’s rate of mitochondrial respiration is similar to that of normal cells. He, however, described it as a ‘respiratory impairment’ due to the fact that, in cancer cells, mitochondrial respiration is smaller, relative to their glycolytic power, but not smaller relative to normal cells. He recognized that oxygen consumption is not diminished in tumor cells, but that respiration is disturbed because glycolysis persists in the presence of oxygen. Unfortunately, the perception of his original findings was simplified over the years, and most subsequent papers validated that cancer cells undergo aerobic glycolysis and produce lactate, but did not measure mitochondrial respiration, and just presumed decreased tricarboxylic acid (TCA) cycle activity and reduced oxidative phosphorylation [1,2]. It is indeed well documented that, as a consequence of intra-tumoral hypoxia, the hypoxia-inducible factor (HIF)1α pathway is activated in many tumors cells, resulting in the direct up-regulation of lactate dehydrogenase (LDH) and increased glucose consumption.
It is now clear that cancer cells utilize both glycolysis and oxidative phosphorylation to satisfy their metabolic needs. Experimental assessments of ATP production in cancer cells have demonstrated that oxidative pathways play a signifi cant role in energy generation, and may be responsible for about 50 to 80% of the ATP generated. several studies now clearly indicate that mitochondrial activity and oxidative phosphorylation support tumor growth. Loss-of-function mutations in the TCA cycle gene IDH1 (isocitrate dehydrogenase 1) are found in about 70% of gliomas, but, interestingly, correlate with a better prognosis and improved survival, suggesting that severely decreased activity in one of the TCA cycle enzymes does not favor tumor aggressiveness. The mitochondrial protein p32 was shown to maintain high levels of oxidative phosphorylation in human cancer cells and to sustain tumorigenicity in vivo. In addition, STAT3 is known to enhance tumor growth and to predict poor prognosis in human cancers. Interestingly, a pool of STAT3 localizes to the mitochondria, to sustain high levels of mitochondrial respiration and to augment transformation by oncogenic Ras. Similarly, the mitochondrial transcription factor A (TFAM), which is required for mitochondrial DNA replication and oxidative phosphorylation, is also required for K-Ras induced lung tumorigenesis.
There is also evidence that pro-oncogenic molecules regulate mitochondrial function. Cyclin D1 inhibits mitochondrial function in breast cancer cells. Overexpression of cyclin D1 is observed in about 50% of invasive breast cancers and is associated with a good clinical outcome, indicating that inhibition of mitochondrial activity correlates with favorable prognosis. Importantly, it was shown that the oncogene c-Myc stimulates mitochondrial biogenesis, and enhances glutamine metabolism by regulating the expression of mitochondrial glutaminase, the first enzyme in the glutamine utilization pathway. Glutamine is an essential metabolic fuel that is converted to alpha-ketoglutarate and serves as a substrate for the TCA cycle or for glutathione synthesis, to promote energy production and cellular biosynthesis, and to protect against oxidative stress. Interestingly, pharmacological targeting of mitochondrial glutaminase inhibits cancer cell transforming activity, suggesting that glutamine metabolism and its role in fueling and replenishing the TCA cycle are required for neoplastic transformation.
Reverse Warburg Effect.
It is increasingly apparent that the tumor microenvironment regulates neoplastic growth and progression. Activation of the stroma is a critical step required for tumor formation. Among the stromal players, cancer associated fi broblasts (CAFs) have recently taken center stage [25]. CAFs are activated, contractile        fibroblasts that display features of myo-fibroblasts, express muscle specific actin, and show an increased ability to secrete and remodel the extracellular matrix. They are not just neutral spectators, but actively support malignant transformation and metastasis, as compared to normal resting fibroblasts.

Importantly, the tumor stroma dictates clinical outcome and constitutes a source of potential biomarkers. Expression profiling has identified a cancer-associated stromal signature that predicts good and poor clinical prognosis in breast cancer patients, independently of other factors.

A loss of caveolin-1 (Cav-1) in the stromal compartment is a novel biomarker for predicting poor clinical outcome in all of the most common subtypes of human breast cancer, including the more lethal triple negative subtype. A loss of stromal Cav-1 predicts early tumor recurrence, lymph node metastasis, tamoxifen-resistance, and poor survival.

Overall, breast cancer patients with a loss of stromal Cav-1show a 20% 5-year survival rate, compared to the 80% 5-year survival of patients with high stromal Cav-1 expression. In triple negative patients, the 5-year survival rate is 75.5% for high stromal Cav-1 versus 9.4% for absent stromal Cav-1. A loss of stromal Cav-1 also predicts progression to invasive disease in ductal carcinoma in situ patients, suggesting that a loss of Cav-1 regulates tumor progression. Similarly, a loss of stromal Cav-1 is associated with advanced disease and metastasis, as well as a high Gleason score, in prostate cancer patients.

The autophagic tumor stroma model of cancer metabolism.
Cancer cells induce oxidative stress in adjacent cancer-associated fibroblasts (CAFs). This activates reactive oxygen species (ROS) production and autophagy. ROS production in CAFs, via the bystander eff ect, serves to induce random mutagenesis in epithelial cancer cells, leading to double-strand DNA breaks and aneuploidy. Cancer cells mount an anti-oxidant defense and upregulate molecules that protect them against ROS and autophagy, preventing them from undergoing apoptosis. So, stromal fibroblasts conveniently feed and mutagenize cancer cells, while protecting them against death. See the text for more details. A+, autophagy positive; A-, autophagy negative; AR, autophagy resistant.

1. Recycled Nutrients
2. Random Mutagenesis
3. Protection Against Apoptosis
The clinical use of PET is well established in Hodgkin’s lymphomas which are composed of less than 10% tumor cells, the rest being stromal and inflammatory cells. Yet, Hodgkin’s lymphomas are very PET avid tumors, suggesting that 2-deoxy-glucose uptake may be associated with the tumor stroma. That the fibrotic component may be glucose avid is further supported by the notion that PET is clinically used to assess the therapeutic response in gastrointestinal stromal tumors (GIST), which are a subset of tumors of mesenchymal origin.
The reverse Warburg effect can be described as ‘metabolic coupling’ between supporting glycolytic stromal cells and oxidative tumor cells. Metabolic cooperativity between adjacent cell-compartments is observed in several normal physiological settings.
The reverse Warburg effect.
Via oxidative stress, cancer cells activate two major transcription factors in adjacent stromal fibroblasts (hypoxia-inducible factor (HIF)1α and NFκB).
This leads to the onset of both autophagy and mitophagy, as well as aerobic glycolysis, which then produces recycled nutrients (such as lactate, ketones, and glutamine).
These high-energy chemical building blocks can then be transferred and used as fuel in the tricarboxylic acid cycle (TCA) in adjacent cancer cells.
The outcome is high ATP production in cancer cells, and protection against cell death. ROS, reactive oxygen species.
The methylation hypothesis and the role of PP2A phosphatase
Diethanolamine decreased choline derivatives and methyl donors in the liver, like seen in a choline deficient diet. Such conditions trigger tumors in mice, particularly in the B6C3F1 strain. Again, the historical perspective recalled by Newberne’s comment brings us back to insulin. Indeed, after the discovery of insulin in 1922, Banting and Best were able to keep alive for several months depancreatized dogs, treated with pure insulin. However, these dogs developed a fatty liver and died. Unlike pure insulin, the total pancreatic extract contained a substance that prevented fatty liver: a lipotropic substance identified later as being choline. Like other lipotropes, (methionine, folate, B12) choline supports transmethylation reactions, of a variety of substrates, that would change their cellular fate, or action, after methylation. In the particular case concerned here, the removal of triglycerides from the liver, as very low-density lipoprotein particles (VLDL), requires the synthesis of lecithin, which might decrease if choline and S-adenosyl methionine (SAM) are missing. Hence, a choline deficient diet decreases the removal of triglycerides from the liver; a fatty liver and tumors may then form. In sum, we have seen that pathways exemplified by the insulin-tyrosine kinase signaling pathway, which control anabolic processes, mitosis, growth and cell death, are at each step targets for oncogenes; we now find that insulin may also provoke fatty liver and cancer, when choline is not associated to insulin.

We know that after the tyrosine kinase reaction, serine-threonine kinases take over along the signaling route. It is thus highly probable that serine-threonine phosphatases will counteract the kinases and limit the intensity of the insulin or insulin like signals. One of the phosphatases involved is PP2A, itself the target of DNA viral oncogenes (Polyoma or SV40 antigens react with PP2A subunits and cause tumors). We found a possible link between the PP2A phosphatase brake and choline. the catalytic C subunit of PP2A is associated to a structural subunit A. When C receives a methyl, the dimer recruits a regulatory subunit B. The trimer then targets specific proteins that are dephosphorylated. choline, via SAM, methylates PP2A, which is targeted toward the serine-threonine kinases that are counteracted along the insulin-signaling pathway.

The choline dependent methylation of PP2A is the brake, the “antidote”, which limits “the poison” resulting from an excess of insulin signaling. Moreover, it seems that choline deficiency is involved in the L to M2 transition of PK isoenzymes. The negative regulation of Ras/MAP kinase signals mediated by PP2A phosphatase seems to be complex. The serine-threonine phosphatase does more than simply counteracting kinases; it binds to the intermediate Shc protein on the signaling cascade, which is inhibited. The targeting of PP2A towards proteins of the signaling pathway depends of the assembly of the different holoenzymes.

The relative decrease of methylated PP2A in the cytosol, not only cancels the brake over the signaling kinases, but also favors the inactivation of PK and PDH, which remain phosphorylated, contributing to the metabolic anomaly of tumor cells. In order to prevent tumors, one should then favor the methylation route rather than the phosphorylation route for choline metabolism. This would decrease triglycerides, promote the methylation of PP2A and keep it in the cytosol, reestablishing the brake over signaling kinases. Moreover, PK, and PDH would become active after the phosphatase action. One would also gain to inhibit their kinases as recently done with dichloroacetate for PDH kinase. The nuclear or cytosolic targeting of PP2A isoforms is a hypothesis also inspired by several works.
Hypoxic adaptations in the presence of oxygen
Through different biochemical and biophysical pathways, which are characteristic to cancer cells, tumor cells adopt this phenotype, i.e., high glycolysis and decreased respiration, in the presence of oxygen. It has been shown that although the induction of hypoxia and cellular proliferation engage entirely different cellular pathways, they often coexist during tumor growth. The ability of cells to grow during hypoxia results, in part, from the crosstalk between hypoxia-inducible factors (Hifs) and the proto-oncogene c-Myc. These genes partially regulate the development of complex adaptations of tumor cells growing in low O2, and contribute to fine tuning the adaptive responses of cells to hypoxic environments.

Hypoxic conditions seem to trigger back the expression of the fetal gene packet via HIF1-Von-Hippel signals. The mechanism would depend of a double switch since not all fetal genes become active after hypoxia. First, the histones have to be in an acetylated form, opening the way to transcription factors, this depends either of histone eacetylase (HDAC) inhibition or of histone acetyltransferase (HAT) activation, and represents the main switch

Growth hormone-IGF actions, the control of asymmetrical mitosis
When IGF – Growth hormone operate, the fatty acid source of acetyl CoA takes over. Indeed, GH stimulates a triglyceride lipase in adipocytes, increasing the release of fatty acids and their b oxidation. In parallel, GH would close the glycolytic source of acetyl CoA, perhaps inhibiting the hexokinase interaction with the mitochondrial ANT site. This effect, which renders apoptosis possible, does not occur in tumor cells. GH mobilizes the fatty acid source of acetyl CoA from adipocytes, which should help the formation of ketone bodies. Since citrate synthase activity is elevated in tumors, ketone bodies do not form. This result silences several genes like PETEN, P53, or methylase inhibitory genes. It is probable that the IGFBP gene gets silent as well.

Uncoupling Proteins in Cancer
Uncoupling proteins (UCPs) are a family of inner mitochondrial membrane proteins whose function is to allow the re-entry of protons to the mitochondrial matrix, by dissipating the proton gradient and, subsequently, decreasing membrane potential and production of reactive oxygen species (ROS). Due to their pivotal role in the intersection between energy efficiency and oxidative stress, UCPs are being investigated for a potential role in cancer.

Mitochondria have been shown to be key players in numerous cellular events tightly related with the biology of cancer. Although energy production relies on the glycolytic pathway in cancer cells, these organelles also participate in many other processes essential for cell survival and proliferation such as ROS production, apoptotic and necrotic cell death, modulation of oxygen concentration, calcium and iron homeostasis, and certain metabolic and biosynthetic pathways. Many of these mitochondrial-dependent processes are altered in cancer cells, leading to a phenotype characterized, among others, by higher oxidative stress, inhibition of apoptosis, enhanced cell proliferation, chemoresistance, induction of angiogenic genes and aggressive fatty acid oxidation. Uncoupling proteins, a family of inner mitochondrial membrane proteins specialized in energy-dissipation, has aroused enormous interest in cancer due to their relevant impact on such processes and their potential for the development of novel therapeutic strategies.
Briefly, oxidation of reduced nutrient molecules, such as carbohydrates, lipids, and proteins, through cellular metabolism yields electrons in the form of reduced hydrogen carriers NADH+ and FADH2. These reduced cofactors donate electrons to a series of protein complexes embedded in the inner mitochondrial membrane known as the electron transport chain (ETC). These complexes use the energy released from electron transport for active pumping of protons across the inner membrane, generating an electrochemical gradient. Mitochondria orchestrate conversions between different forms of energy, coupling aerobic respiration to phosphorylation.
Conversion of metabolic fuel into ATP is not a fully efficient process. Some of the energy of the electrochemical gradient is not coupled to ATP production due to a phenomenon known as proton leak, which consists of the return of protons to the mitochondrial matrix through alternative pathways that bypass ATP synthase. Although this apparently futile cycle of protons is physiologically important, accounting for 20-25% of basal metabolic rate, its function is still a subject of debate. Several different functions have been suggested for proton leak, including thermogenesis, regulation of energy metabolism, and control of body weight and attenuation of reactive oxygen species (ROS) production. Although a part of the proton leak may be attributed to biophysical properties of the inner membrane, such as protein/lipid interfaces, the bulk of the proton conductance is linked to the action of a family of mitochondrial proteins termed uncoupling proteins.

Mitochondria are the major sources of reactive oxygen species (ROS). Aerobic respiration involves the complete reduction of oxygen to water, which is catalysed by complex IV (or cytochrome c oxidase). Nevertheless, during the transfer of electrons along the electron transport complexes, single electrons sometimes escape and result in a single electron reduction of molecular oxygen to form a superoxide anion, which, in turn is the precursor of other ROS.

One of the most interesting functions attributed to UCPs is their ability to decrease the formation of mitochondrial ROS. Mitochondria are the main source of ROS in cells. Superoxide formation is strongly activated under resting (state 4) conditions when the membrane potential is high and the rate of electron transport is limited by lack of ADP and Pi. Thus, there is a well established strong positive correlation between membrane potential and ROS production.
A small increase in membrane potential gives rise to a large stimulation of ROS production, whereas a small decrease in membrane potential (10 mV) is able to inhibit ROS production by 70% . Therefore, mild uncoupling, i.e., a small decrease in membrane potential, has been suggested to have a natural antioxidant effect.

Consistent with such a proposal, the inhibition of UCPs by GDP in mitochondria has been shown to increase membrane potential and mitochondrial ROS production. The loss of UCP2 or UCP3 in knockouts yielded increased ROS production concurrent with elevated membrane potential specifically in those tissues normally expressing the missing protein.
The hypothesis of UCPs as an antioxidant defense has been strongly supported by the fact that these proteins have been shown to be activated by ROS or by-products of lipid peroxidation, showing that UCPs would form part of a negative feed-back mechanism aimed to mitigate excessive ROS production and oxidative damage.
ROS and Cancer
ROS are thought to play multiple roles in tumor initiation, progression and maintenance, eliciting cellular responses that range from proliferation to cell death. In normal cells, ROS play crucial roles in several biological mechanisms including phagocytosis, proliferation, apoptosis, detoxification and other biochemical reactions. Low levels of ROS regulate cellular signaling and play an important role in normal cell proliferation. During initiation of cancer, ROS may cause DNA damage and mutagenesis, while ROS acting as second messengers stimulate proliferation and inhibit apoptosis, conferring growth advantage to established cancer cells. Cancer cells have been found to have increased ROS levels.

One of the functional roles of these elevated ROS levels during tumor progression is constant activation of transcription factors such as NF-kappaB and AP-1 which induce genes that promote proliferation and inhibit apoptosis. In addition, oxidative stress can induce DNA damage which leads to genomic instability and the acquisition of new mutations, which may contribute to cancer progression.

Role of ROS in control of proliferation and apoptosis
ROS are also essential mediators of apoptosis which eliminates cancer and other cells that threaten our health [81–86]. Many chemotherapeutic drugs and radiotherapy are aimed at increasing ROS levels to promote apoptosis by stimulating pro-apoptotic singaling molecules such as ASK1, JNK and p38. Because of the pivotal role of ROS in triggering apoptosis, antioxidants can inhibit this protective mechanism by depleting ROS. Thus, antioxidant mechanisms are thought to interfere with the therapeutic activity of anticancer drugs that kill advanced stage cancer cells by apoptosis.

Effect of uncoupling proteins on proliferation and apoptosis in relation to ROS levels

Uncoupling-to-survive hypothesis (proposed by Brand)

  • the ability of UCP2 to increase lifespan is mediated by decreased ROS production and oxidative stress.
  • the ability of mild uncoupling to avoid ROS formation, gives a reasonable argument to hypothesize about a role for UCPs in cancer prevention

Consistently, Derdák et al. showed that Ucp2−/− mice treated with the carcinogen azoxymethane were found to develop more aberrant crypt foci and colon tumours than Ucp2+/+ in relation with increased oxidative stress and enhanced NF-kappaB activation.

Roles of UCPs in Cancer Progression
The growth of a tumor from a single genetically altered cell is a stepwise progression requiring the alterations of several genes which contribute to the acquisition of a malignant phenotype. Such genetic alterations are positively selected when in the tumor, they confer a proliferative, survival or treatment resistance advantage for the host cell. In addition, several mutations, such as those silencing tumour suppressor genes, trigger the probability of accumulating new mutations, so the process of malignant transformation is progressively self-accelerated.

Considering the ability of UCPs to modulate mutagenic ROS, as well as mitochondrial bioenergetics and membrane potential, both involved in regulation of cell survival, an interesting question is whether UCPs can be involved in the progression of cancer.

Increased uncoupled respiration may be a mechanism to lower cellular oxygen concentration and, thus, alter molecular pathways of oxygen sensing such as those regulated by hypoxia-inducible factor (HIF). In normoxia, the alpha subunit of HIF-1 is a target for prolyl hydroxylase, which makes HIF-1alpha a target for degradation by the proteasome. During hypoxia, prolyl hydroxylase is inhibited since it requires oxygen as a cosubstrate. Thus, hypoxia allows HIF to accumulate and translocate into the nucleus for induction of target genes regulating glycolysis, angiogenesis and hematopoiesis. By this mechanism, UCPs activity may contribute to increase the expression of genes related to the formation of blood vessels, and thus promote tumor growth.

Roles of UCPs in Cancer Energy Metabolism
Lynen and colleagues proposed that the root of the Warburg effect is not in the inability of mitochondria to carry out respiration, but rather would rely on their incapacity to synthesize ATP in response to membrane potential.

The ability of UCPs to uncouple ATP synthesis from respiration and the fact that UCP2 is overexpressed in several chemoresistant cancer cell lines and primary human colon cancers have lead to speculate about the existence of a link between UCPs and the Warburg effect. As mentioned above, uncoupling induced by overexpression of UCP2 has been shown to prevent ROS formation, and, in turn, increase apoptotic threshold in cancer cells, providing a pro-survival advantage and a resistance mechanism to cope with ROS-inducing chemo-therapeutic agents.

Mitochondrial Krebs cycle is one of the sources for these anabolic precursors. The export of these metabolites to cytoplasm for anabolic purposes involves the replenishment of the cycle intermediates by anaplerotic substrates such as pyruvate and glutamate. Thus, glycolysis-derived pyruvate, as well as alpha-ketoglutarate derived from glutaminolysis, may be necessary to sustain anaplerotic reactions. At the same time, to keep Krebs cycle functional, the reduced cofactors NADH and FADH2 would have to be re-oxidized, a function which relies on the mitochondrial respiratory chain. Once again, uncoupling may be crucial for cancer cell mitochondrial metabolism, allowing Krebs cycle to be kept functional to meet the vigorous biosynthetic demand of cancer cells.

Several cancer cells resistant to chemotherapeutics and radiation often exhibit higher rates of fatty acid oxidation and it has been observed that inhibition of fatty acid oxidation potentiates apoptotic death induced by chemotherapeutic agents. These findings are in agreement with the proposed need of fatty acid for the activity of UCPs, suggesting that the lack of these potential substrates or activators would decrease uncoupling activity, subsequently increasing membrane potential, ROS production and therefore lowering apoptotic threshold.

Roles of UCPs in Cancer Cachexia
Cachexia is a wasting syndrome characterized by weakness, weight and fat loss, and muscle atrophy which is often seen in patients with advanced cancer or AIDS. Cachexia has been suggested to be responsible for at least 20 % of cancer deaths and also plays an important part in the compromised immunity leading to death from infection. The imbalance between energy intake and energy expenditure underlying cachexia cannot be reversed nutritionally.

Alterations leading to high energy expenditure, such as excessive proton leak or mitochondrial uncoupling, are likely mechanisms underlying cachexia. In fact, increased expression of UCP1 in BAT and UCP2 and UCP3 in skeletal muscle have been shown in several murine models of cancer cachexia

Roles of UCPs in Chemoresistance

Cancer cells acquire drug resistance as a result of selection pressure dictated by unfavorable microenvironments. Although mild uncoupling may clearly be useful under normal conditions or under severe or chronic metabolic stress such as hypoxia or anoxia, it may be a mechanism to elude oxidative stress-induced apoptosis in advanced cancer cells. Several anti-cancer treatments are based on promotion of ROS formation, to induce cell growth arrest and apoptosis. Thus, increased UCP levels in cancer cells, rather than a marker of oxidative stress, may be a mechanisms conferring anti-apoptotic advantages to the malignant cell, increasing their ability to survive in adverse microenvironments, radiotherapy and chemotherapy. UCPs appear to play a permissive role in tumor cell survival and growth.

Expression of UCPs promote bioenergetics adaptation and cell survival. UCPs appear to be critical to determine the sensitivity of cancer cells to several chemotherapeutic agents and radiotherapy, interfering with the activation of mitochondria driven apoptosis.

From a therapeutic viewpoint, inhibition of glycolysis in UCP2 expressing tumours or specific inhibition of UCP2 are, respectively, attractive strategies to target the specific metabolic signature of cancer cells.

Hypoxia-inducible factor-1 in tumour angiogenesis
HIF-b subunits, is a heterodimeric transcriptional activator. In response to
hypoxia,

  • stimulation of growth factors, and
  • activation of oncogenes as well as carcinogens,

HIF-1a is overexpressed and/or activated and targets those genes which are required for angiogenesis, metabolic adaptation to low oxygen and promotes survival.

Several dozens of putative direct HIF-1 target genes have been identified on the basis of one or more cis-acting hypoxia-response elements that contain an HIF-1 binding site. Activation of HIF-1 in combination with activated signaling pathways and regulators is implicated in tumour progression and prognosis.
In order for a macroscopic tumour to grow, adequate oxygen delivery must be effected via tumor angiogenesis that results from an increased synthesis of angiogenic factors and a decreased synthesis of anti-angiogenic factors. The metabolic adaptation of tumor cells to reduced oxygen availability by increasing glucose transport and glycolysis to promote survival are important consequences in response to hypoxia.

Hypoxia and HIF-1
Hypoxia is one of the major drivers to tumour progression as hypoxic areas form in human tumours when the growth of tumour cells in a given area outstrips local neovascularization, thereby creating areas of inadequate perfusion. Although several transcriptional factors have been reported to be involved
in the response to hypoxic stress such as AP-1, NF-kB and HIF-1, HIF-1 is the most potent inducer of the expression of genes such as those encoding for glycolytic enzymes, VEGF and erythropoietin.

HIF-a subunit exists as at least three isoforms, HIF-1a, HIF-2a and HIF-3a. HIF-1a and HIF-2a can form heterodimers with HIF-b. Although HIF-b subunits are constitutive nuclear proteins, both HIF-1a andHIF-2a subunits are strongly induced by hypoxia in a similar manner. HIF-1a is up-regulated in hypoxic tumour cells and activates the transcription of target genes by binding to cis-acting enhancers, hypoxic responsive element (HRE) close to the promoters of these genes with a result of tumour cellular adaptation to hypoxia and tumour angiogenesis, and promotion of further growth of the primary tumour. Studies have shown HIF-1a to be over-expressed by both tumour cells and such stromal cells as macrophages in many forms of human malignancy.

Regulation of HIF-1
The first regulator of HIF-1 is oxygen. HIF-1α appears to be the HIF-1 subunit regulated by hypoxia. The oxygen sensors in the HIF-1α pathway are two kinds of oxygen dependent hydroxylases. One is prolyl hydroxylase which could hydroxylize the proline residues 402 and 564 at the oxygen dependent domain (ODD) of HIF-1 in the presence of oxygen and iron with a result of HIF-α degradation. The other is hydroxylation of Asn803 at the C-terminal transactivation domain (TAD-C) by FIH-1, which could inhibit the interaction of HIF-1α with co-activator p300 with a subsequent inhibition of HIF-1α transactivity. The hydroxylation of proline 564 at ODD of HIF-1α under normoxia was shown using a novel hydroxylation-specific antibody to detect hydroxylized HIF-1α.

Oncogene comes as the second regulator. Many oncogenes have effects on HIF-1α. Among them, some function in regulation of HIF-1α protein stability or degradation, others play roles in several activated signaling pathways. Tumor suppressor genes as p53 and von Hippel-Lindau (VHL) influence the levels and functions of HIF-1. The wild type (wt) form of p53 protein was involved in inhibiting HIF-1 activity by targeting the HIF-1a subunit for Mdm2-mediated ubiquitination and proteasomal degradation, and in inducing inhibitors of angiogenesis such as thrombospondin-1, while loss of wt p53 (by gene deletion or mutation) could enhance HIF-1α accumulation in hypoxia.

The third regulator is a battery of growth factors and cytokines from stromal and parenchymal cells such as

  • EGF,
  • transforming growth factor-α,
  • insulin-like growth factors 1 and 2,
  • heregulin, and interleukin-1b

via autocrine and paracrine pathways. These regulators not only induce the expression of HIF-1α protein, HIF-1 DNA binding activity and transactivity, but also make HIF-1 target gene expression under normoxia or hypoxia.
The fourth one is a group of reactive oxygen species (ROS) resulting from carcinogens such as Vanadate and Cr (VI) or stimulation of cytokines such as angiotensin and TNFa. However, it seems controversial when it comes to the production of ROS under hypoxia and their individual role in regulation of HIF-1a. It is well known that ROS plays an important role in carcinogenesis induced by a variety of carcinogens.

Signaling Pathways Involved in Regulation of HIF-1α
HIF-1 is a phosphorylated protein and its phosphorylation is involved in HIF-1a subunit expression and/or stabilization as well as in the regulation of HIF-1 transcriptional activity. Three signaling pathways involved in the regulation of HIF-1α have been reported to date.

  • The PI-3k pathway has been mainly and frequently implicated in regulation of HIF-1α protein expression and stability.
  • Akt is also activated by hypoxia. Activated Akt initiates two different pathways in regulation of HIF-1α. The function of these two pathways appears to show consistent impact on HIF-1α activation.
  • Signal transduction pathway in HIF-1α regulation.Oncogenes, growth factors and hypoxia have been documented to regulate HIF-1α protein and increase its transactivity. GSK and mTOR were two target events of Akt and could contribute to decreasing HIF-1α degradation and increasing HIF-1α protein synthesis. Activated ERK1/2 could mainly up-regulate.

HIF-1a, Angiogenesis and Tumour Prognosis
Hypoxia, oncogenes and a variety of growth factors and cytokines increase HIF-1α stability and/or synthesis and transactivation to initiate tumour angiogenesis, metabolic adaptation to hypoxic situation and promote cell survival or anti-apoptosis resulting from a consequence of more than sixty putative direct HIF-1 target gene expressions.

The crucial role of HIF-1 in tumour angiogenesis has sparked scientists and clinical researchers to try their best to understand the whole diagram of HIF-1 so as to find out novel approaches to inhibit HIF-1 overexpression. Indeed, the combination of anti-angiogenic agent and inhibitor of HIF-1 might be particularly efficacious, as the angiogenesis inhibitor would cut off the tumour’s blood supply and HIF-1 inhibitor would reduce the ability of tumour adaptation to hypoxia and suppress the proliferation and promote apoptosis. Screens for small-molecule inhibitors of HIF-1 are underway and several agents that inhibit HIF-1, angiogenesis and xenograft growth have been identified.

Hypoxia, autophagy, and mitophagy in the tumor stroma
Metabolomic profiling reveals that Cav-1(-/-) null mammary fat pads display a highly catabolic metabolism, with the increased release of several metabolites, such as amino acids, ribose and nucleotides, and a shift towards gluconeogenesis, as well as mitochondrial dysfunction. These changes are consistent with increased autophagy, mitophagy and aerobic glycolysis, all processes that are induced by oxidative stress. Autophagy or ‘self-eating’ is the process by which cells degrade their own cellular components to survive during starvation or to eliminate damaged organelles after oxidative stress. Mitophagy, or mitochondrial-autophagy, is particularly important to remove damaged ROS-generating mitochondria.

An autophagy/mitophagy program is also triggered by hypoxia. Hypoxia is a common feature of solid tumors, and promotes cancer progression, invasion and metastasis. Interestingly, via induction of autophagy, hypoxia is sufficient to induce a dramatic loss of Cav-1 in fibroblasts. The hypoxia-induced loss of Cav-1 can be inhibited by the autophagy inhibitor chloroquine, or by pharmacological inhibition of HIF1α. Conversely, small interfering RNA-mediated Cav-1 knock-down is sufficient to induce pseudo-hypoxia, with HIF1α and NFκB activation, and to promote autophagy/mitophagy, as well as a loss of mitochondrial membrane potential in stromal cells. These results indicate that a loss of stromal Cav-1 is a marker of hypoxia and oxidative stress.

In a co-culture model, autophagy in cancer-associated fibroblasts was shown to promote tumor cell survival via the induction of the pro-autophagic HIF1α and NFκB pathways in the tumor stromal microenvironment. Finally, the mitophagy marker Bnip3L is selectively upregulated in the stroma of human breast cancers lacking Cav-1, but is notably absent from the adjacent breast cancer epithelial cells.

Metabolome profiling of several types of human cancer tissues versus corresponding normal tissues have consistently shown that cancer tissues are highly catabolic, with the significant accumulation of many amino acids and TCA cycle metabolites. The levels of reduced glutathione were decreased in primary and metastatic prostate cancers compared to benign adjacent prostate tissue, suggesting that aggressive disease is associated with increased oxidative stress. Also, these data show that the tumor microenvironment has increased oxidative-stress-induced autophagy and increased catabolism.

Taken together, all these findings suggest an integrated model whereby
A loss of stromal Cav-1 induces autophagy/mitophagy in the tumor stroma, via oxidative stress.

This creates a catabolic micro-environment with the local accumulation of chemical building blocks and recycled nutrients (such as amino acids and nucleotides), directly feeding cancer cells to sustain their survival and growth.
This novel idea is termed the ‘autophagic tumor stroma model of cancer’ .
This new paradigm may explain the ‘autophagy paradox’, which is based on the fact that both the systemic inhibition and systemic stimulation of autophagy prevent tumor formation.

What is presented suggests that vectorial energy transfer from the tumor stroma to cancer cells directly sustains tumor growth, and that interruption of such metabolic coupling will block tumor growth. Autophagy inhibitors (such as chloroquine) functionally block the catabolic transfer of metabolites from the stroma to the tumor, inducing cancer cell starvation and death. Conversely, autophagy inducers (such as rapamycin) promote autophagy in tumor cells and induce cell death. Thus, both inhibitors and inducers of autophagy will have a similar effect by severing the metabolic coupling of the stroma and tumor cells, resulting in tumor growth inhibition (cutting ‘off ’ the fuel supply).

This model may also explain why enthusiasm for antiangiogenic therapy has been dampened. In most cases, the clinical benefits are short term, and more importantly, new data suggest an unexpected link between anti-angiogenic treatments and metastasis. In pre-clinical models, anti-vascular endothelial growth factor (anti-VEGF) drugs (sunitinib and anti-VEGFR2 blocking antibodies) were shown to inhibit localized tumor formation, but potently induced relapse and metastasis. Thus, by inducing hypoxia in the tumor microenvironment, antiangiogenic drugs may create a more favorable metastatic niche.
Glutamine, glutaminolysis.
In direct support that cancer cells use mitochondrial oxidative metabolism, many investigators have shown that cancer cells are ‘addicted’ to glutamine. Glutamine is a non-essential amino acid that is metabolized to glutamate and enters the TCA cycle as α-ketoglutarate, resulting in high ATP generation via oxidative phosphorylation. Recent studies also show that ammonia is a by-product of glutaminolysis. In addition, ammonia can act as a diffusible inducer of autophagy. Given these observations, glutamine addiction in cancer cells provides another mechanism for driving and maintaining autophagy in the tumor micro-environment .

In support of this idea, a loss of Cav-1 in the stroma is sufficient to drive autophagy, resulting in increased glutamine production in the tumor micro-environment. Thus, this concept defines a new vicious cycle in which autophagy in the tumor stroma transfers glutamine to cancer cells, and the by-product of this metabolism, ammonia, maintains autophagic glutamine production. This model fits well with the ‘autophagic tumor stroma model of cancer metabolism’, in which energy rich recycled nutrients (lactate, ketones, and glutamine) fuel oxidative mitochondrial metabolism in cancer cells.

Glutamine utilization in cancer cells and the tumor stroma. Oxidative mitochondrial metabolism of glutamine in cancer cells produces ammonia. Ammonia production is sufficient to induce autophagy. Thus, autophagy in cancer-associated fibroblasts provides cancer cells with an abundant source of glutamine. In turn, the ammonia produced maintains the autophagic phenotype of the adjacent stromal fibroblasts.

Lessons from other paradigms

an infectious parasitic cancer cell that metastasizes and captures mitochondrial DNA from host cells
Cancer cells behave like ‘parasites’, by inducing oxidative stress in normal host fibroblasts, resulting in the production of recycled nutrients via autophagy.

This is exactly the same mechanism by which infectious parasites (such as malaria) obtain nutrients and are propagated by inducing oxidative stress and autophagy in host cells. In this regard, malaria is an ‘intracellular’ parasite, while cancer cells may be thought of as ‘extracellular’ parasites. This explains why chloroquine is both an effective antimalarial drug and an effective anti-tumor agent, as it functions as an autophagy inhibitor, cutting off the ‘fuel supply’ in both disease states.

Human cancer cells can ‘steal’ live mitochondria or mitochondrial DNA from adjacent mesenchymal stem cells in culture, which then rescues aerobic glycolysis in these cancer cells. This is known as mitochondrial transfer. Interestingly, metastatic breast cancer cells show the up-regulation of numerous mitochondrial proteins, specifically associated with oxidative phosphorylation, as seen by unbiased proteomic analysis.

Thus, increased mitochondrial oxidative metabolism may be a key driver of tumor cell metastasis. In further support of this argument, treatment of MCF7 cancer cells with lactate is indeed sufficient to induce mitochondrial biogenesis in these cells.

To determine if these findings may be clinically relevant, a lactate-induced gene signature was recently generated using MCF7 cells. This gene signature shows that lactate induces ‘stemness’ in cancer cells, and this lactate induced gene signature predicts poor clinical outcome (including tumor recurrence and metastasis) in breast cancer patients.

REFERENCES

Li W and Zhao Y. “Warburg Effect” and Mitochondrial Metabolism in Skin Cancer. Epidermal Pigmentation, Nucleotide Excision Repair and Risk of Skin Cancer. J Carcinogene Mutagene 2012; S4:002 doi:10.4172/2157-2518.
Seyfried TN, Shelton LM. Cancer as a metabolic disease. Nutrition & Metabolism 2010; 7:7(22 pg). doi:10.1186/1743-7075-7-7
Israël M, Schwartz L. The metabolic advantage of tumor cells. Molecular Cancer 2011, 10:70-82. http://www.molecular-cancer.com/content/10/1/70
Valle A, Oliver J, Roca P. Role of Uncoupling Proteins in Cancer. Cancers 2010, 2, 567-591; doi:10.3390/cancers2020567
Ishii H, Doki Y, Mori M. Perspective beyond Cancer Genomics: Bioenergetics of Cancer Stem Cells. Yonsei Med J 2010; 51(5):617-621. DOI 10.3349/ymj. 2010.51.5.617 pISSN: 0513-5796, eISSN: 1976-2437
Sotgia F, Martinez-Outschoorn, Pavlides S,Howell A . Understanding the Warburg effect and the prognostic value of stromal caveolin-1 as a marker of a lethal tumor microenvironment. Breast Cancer Research 2011, 13:213-26. http://breast-cancer-research.com/content/13/4/213
Yong-Hong Shi, Wei-Gang Fang. Hypoxia-inducible factor-1 in tumour angiogenesis. World J Gastroenterol 2004; 10(8): 1082-1087. http:// wjgnet.com /1007-9327/10/1082.asp

English: Glycolysis pathway overview.

English: Glycolysis pathway overview. (Photo credit: Wikipedia)

Adenosine triphosphate

 

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Warburg Effect, glycolysis, pyruvate kinase, PKM2, PIM2, mtDNA, complex I, NSCLC

Ribeirão Preto Area, Brazil|Government Relations
Current- University, USP-FMRP Physiology – Biochemistry
Previous- Imperial Cancer Research Fund Lab, Instituto de Investigaciones Bioquimicas, Luta armada e CIA
Education – FMRP-USP
While exile interrupted ny graduation in Medicine, started a port grade at Leloir´s Instituto Investigaciones bioquímicas Buenos Aires Argentina Jan 1970 – jan 1972. PhD from 1972- jan 1976 FMRP-USP . Post Doc ICRF London England 1979 -1980

“Those…..whose acquitance with scientific research is derived chiefly from its practical results easily develop a completely false notion of the { scientific } mentality.”

My goal and previous experience besides laboratory work was dedicated to solve this apparent conflict.

When Pasteur did his work studying the chemistry outside yeast-cells, he was able to perceive that in anaerobiosis yeast cells were able to convert sugar at a great velocity to its end products. While the same yeast cells, therefore with the same genome did it at a very slow speed in aerobiosis. Warburg tested tumor cells for the same and found that while normal cells from the organ in which he has found tumors presented a similar metabolic regulatory response to anaerobic/aerobic transition tumor cells did not. Tumos cells continued to display strong acidification (producing great amounts of lactate in the culture media) in aerobiosis.

Tumor cells displayed a failure in this regulatory mechanism that, he O. Warburg, named Pasteur effect. He also noticed that this defect continues from old cancer cells to newer ones. Therefore, for him, it is a genetic defect. Furthermore, as mitochondria generates newer mitochondria in the cells, the genetic component is in the mitochondria that were the site of core metabolism in aerobiosis.

Larry Bernstein
Part of what you describe is in Warburg biography by Hans Krebs (out of print). He also refers to a Meyerhof Quotient to express the degree of metabolic anaerobiosis. I don’t recall a reference to a mitochondrial “genetic” defect. That is farsighted. He did conclude that once the cancer cells were truly anaplastic, metastatic behavior was irreversible. It was only later that another Nobelist who described fatty acid synthesis, I think, concluded that the synthetic process tied up the same aerobic pathway so that anaerobic glycolysis became essential for the cells energetics. You can correct me if I’m in error. Where does the substrate come from? Lean body mass breaks down to provide gluconeogenic precursors. Points of concern are – deamination of branch chain AAs, the splitting of a 6 carbon sugar into 2 3-carbon chains, and the conversion of pyruvate to lactate with the reverse reaction blocked. There is also evidence that there is an impairment in the TCA cycle at the point of fumarase. Then there is never any consideration of the flow of substrates back and forth across the mitochondrial membrane (malate, aspartate), and the redox potentials.

Jose: For reasons independent of my will, the copy of Science,123(3191):309-14,1956 translation of O Warburg original article is not in my hands. Some that do not find any alternative form to respond to my critics concerning molecular biology distortion of biochemistry left on purpose, almost all of my older reprints on the rain. Anyway, O. Warburg refers to mitochondria using the expression of “grana” or “grains” if my recollections are correct. The original work of O Warburg is one of 1924 – Biochemisch ZeiTschrift.,152:51-60.1924. “Weberssert method zur messing der atmung un glycolyse, drese zeitschr.” Other aspects of your interesting comment I will try to comment latter.

By Jose Eduardo de Salles Roselino
Larry Bernstein, not as a correction but , following my line of reasoning about carbono fluxes…It is almost impossible to figure out what was really inside the mind-set of a scientific researcher at the time he has performed his work. Anyway, by the knowledge available at his time, we may conjecture about, even when we acknowledge that, what he may have had in mind at the start could be quite different from what he have latter published from his results.
In case, we try to present the ideas behind Warburg´s works we may take into account the following pre-existing knowledge: Lavoisier (done by 1779-1784) measured very carefully the amount of heat released by respiration and chemical oxidative processes. Reached the conclusion that respiration was slower but essentially similar to carbon combustion by chemical oxidative processes. By early XIX caloric values for gram of sugar, lipids and proteins where made clear. T Schwann recognized that yeast cells convert sugar in ethanol plus a volatile acid (carbon dioxide). Pasteur-effect was seen just as a change in the velocity of product production from a same sugar and/or a decrease in sugar concentration in the growth medium. This is a change in carbon flux velocity in the oxidative process calorimetrically measured by Lavoisier.
In Germany, however, the preponderance of organic chemical point of view has great scientists as Berzelius, Liebig etc. to consider that yeast where similar to inorganic catalysts. The oxidative process was caused by oxygen only. You may amuse yourself reading, how they attack T. Schwann proposal in Annalen, 29: 100 (1839). When O Warburg paid tribute to L. Pasteur, we can see clearly on which side he was. Furthermore, his apparatus, in which I was introduced to this line of research, a rather modern version at that time (1960s) that look like a very futuristic robotic version of the original with a pair of blinking red and green round lights as two eyes on a metallic head, offers a very important clue about the change in carbon flow.
Inside a Warburg glass flask, kept at very finely controlled temperature to avoid changes in pressure derived from changes in the temperature, you would certainly find a central well in which the volatile acid must be trapped in order to determine a pressure reduction only due to the decrease in oxygen pressure. Inside this central well, you could determine one product (carbon dioxide) and in the outside of it where tissues or cells where in the media you could also determine the other end product of the oxidative combustion of sugar (lactate). This has provide him with the result that indicate not only a change in the velocity as originally found by Pasteur in yeast cells but in the organic flow of sugar carbons.

comment –  E-mail: vbungau11@yahoo.com

-About carcinogenesis- Electronegativity is a nucleus of an atom’s ability to attract and maintain a cloud of electrons. Copper atom electronegativity is higher than the Iron atom electronegativity. Atom with lower electronegativity (Iron),remove the atom with higher electronegativity (Copper) of combinations. This means that,in conditions of acidosis, we have cytochrome oxidase with iron (red, neoplastic), instead of cytochrome oxidase with copper (green, normal).I think this is the key to carcinogenesis. Siincerely, Dr. Viorel Bungau

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Nanotechnology and MRI imaging

Author: Tilda Barliya PhD

The recent advances of “molecular and medical imaging” as an integrated discipline in academic medical centers has set the stage for an evolutionary leap in diagnostic imaging and therapy. Molecular imaging is not a substitute for the traditional process of image formation and interpretation, but is intended to improve diagnostic accuracy and sensitivity.

Medical imaging technologies allow for the rapid diagnosis and evaluation of a wide range of pathologies. In order to increase their sensitivity and utility, many imaging technologies such as CT and MRI rely on intravenously administered contrast agents. While the current generation of contrast agents has enabled rapid diagnosis, they still suffer from many undesirable drawbacks including a lack of tissue specificity and systemic toxicity issues. Through advances made in nanotechnology and materials science, researchers are now creating a new generation of contrast agents that overcome many of these challenges, and are capable of providing more sensitive and specific information (1)

Magnetic resonance imaging (MRI) contrast enhancement for molecular imaging takes advantage of superb and tunable magnetic properties of engineered magnetic nanoparticles, while a range of surface chemistry offered by nanoparticles provides multifunctional capabilities for image-directed drug delivery. In parallel with the fast growing research in nanotechnology and nanomedicine, the continuous advance of MRI technology and the rapid expansion of MRI applications in the clinical environment further promote the research in this area.

It is well known that magnetic nanoparticles, distributed in a magnetic field, create extremely large microscopic field gradients. These microscopic field gradients cause substantial diphase and shortening of longitudinal relaxation time (T1) and transverse relaxation time (T2 and T2*) of nearby nuclei, e.g., proton in the case of most MRI applications. The magnitudes of MRI contrast enhancement over clinically approved conventional gadolinium chelate contrast agents combined with functionalities of biomarker specific targeting enable the early detection of diseases at the molecular and cellular levels with engineered magnetic nanoparticles. While the effort in developing new engineered magnetic nanoparticles and constructs with new chemistry, synthesis, and functionalization approaches continues to grow, the importance of specific material designs and proper selection of imaging methods have been increasingly recognized (2)

Earlier investigations have shown that the MRI contrast enhancement by magnetic nanoparticles is highly related to their composition, size, surface properties, and the degree of aggregation in the biological environment.

Therefore, understanding the relationships between these intrinsic parameters and relaxivities of nuclei under influence of magnetic nanoparticles can provide critical information for predicting the properties of engineered magnetic nanoparticles and enhancing their performance in the MRI based theranostic applications. On the other hand, new contrast mechanisms and imaging strategies can be applied based on the novel properties of engineered magnetic nanoparticles. The most common MRI sequences, such as the spin echo (SE) or fast spin echo (FSE) imaging and gradient echo (GRE), have been widely used for imaging of magnetic nanoparticles due to their common availabilities on commercial MRI scanners. In order to minimize the artificial effect of contrast agents and provide a promising tool to quantify the amount of imaging probe and drug delivery vehicles in specific sites, some special MRI methods, such as  have been developed recently to take maximum advantage of engineered magnetic NPs

  • off-resonance saturation (ORS) imaging
  • ultrashort echo time (UTE) imaging

Because one of the major limitations of MRI is its relative low sensitivity, the strategies of combining MRI with other highly sensitive, but less anatomically informative imaging modalities such as positron emission tomography (PET) and NIRF imaging, are extensively investigated. The complementary strengths from different imaging methods can be realized by using engineered magnetic nanoparticles via surface modifications and functionalizations. In order to combine optical or nuclear with MR for multimodal imaging, optical dyes and radio-isotope labeled tracer molecules are conjugated onto the moiety of magnetic nanoparticles

Since most functionalities assembled by magnetic nanoparticles are accomplished by the surface modifications, the chemical and physical properties of nanoparticle surface as well as surface coating materials have considerable effects on the function and ability of MRI contrast enhancement of the nanoparticle core.

The longitudinal and transverse relaxivities, Ri (i=1, 2), defined as the relaxation rate per unit concentration (e.g., millimole per liter) of magnetic ions, reflects the efficiency of contrast enhancement by the magnetic nanoparticles as MRI contrast agents. In general, the relaxivities are determined, but not limited, by three key aspects of the magnetic nanoparticles:

  1. Chemical composition,
  2. Size of the particle or construct and the degree of their aggregation
  3. Surface properties that can be manipulated by the modification and functionalization.

(It is also recognized that the shape of the nanoparticles can affect the relaxivities and contrast enhancement. However these shaped particles typically have increased sizes, which may limit their in vivo applications. Nevertheless, these novel magnetic nanomaterials are increasingly attractive and currently under investigation for their applications in MRI and image-directed drug delivery).

Composition Effect: The composition of magnetic nanoparticles can significantly affect the contrast enhancing capability of nanoparticles because it dominates the magnetic moment at the atomic level. For instance, the magnetic moments of the iron oxide nanoparticles, mostly used nanoparticulate T2 weighted MRI contrast agents, can be changed by incorporating other metal ions into the iron oxide.  The composition of magnetic nanoparticles can significantly affect the contrast enhancing capability of nanoparticles because it dominates the magnetic moment at the atomic level. For instance, the magnetic moments of the iron oxide nanoparticles, mostly used nanoparticulate T2 weighted MRI contrast agents, can be changed by incorporating other metal ions into the iron oxide.

Size Effect: The dependence of relaxation rates on the particle size has been widely studied both theoretically and experimentally. Generally the accelerated diphase, often described by the R2* in magnetically inhomogeneous environment induced by magnetic nanoparticles, is predicted into two different regimes. For the relatively small nanoparticles, proton diffusion between particles is much faster than the resonance frequency shift. This resulted in the relative independence of T2 on echo time. The values for R2 and R2*are predicted to be identical. This process is called “motional averaging regime” (MAR). It has been well demonstrated that the saturation magnetization Ms increases with the particle size. A linear relationship is predicted between Ms1/3 and d-1. Therefore, the capability of MRI signal enhancement by nanoparticles correlates directly with the particle size. 

Surface Effect: MRI contrast comes from the signal difference between water molecules residing in different environments that are under the effect of magnetic nanoparticles. Because the interactions between water and the magnetic nanoparticles occur primarily on the surface of the nanoparticles, surface properties of magnetic nanoparticles play important roles in their magnetic properties and the efficiency of MRI contrast enhancement. As most biocompatible magnetic nanoparticles developed for in vivo applications need to be stabilized and functionalized with coating materials, the coating moieties can affect the relaxation of water molecules in various forms, such as diffusion, hydration and hydrogen binding.

The early investigation carried at by Duan et al suggested that hydrophilic surface coating contributes greatly to the resulted MRI contrast effect. Their study examined the proton relaxivities of iron oxide nanocrystals coated by copolymers with different levels of hydrophilicity including: poly(maleic acid) and octadecene (PMO), poly(ethylene glycol) grated polyethylenimine (PEG-g-PEI), and hyperbranched polyethylenimine (PEI). It was found that proton relaxivities of those IONPs depend on the surface hydrophilicity and coating thickness in addition to the coordination chemistry of inner capping ligands and the particle size.

The thickness of surface coating materials also contributed to the relaxivity and contrast effect of the magnetic nanoparticles. Generally, the measured T2 relaxation time increases as molecular weight of PEG increases.

In Summary

Much progress has taken place in the theranostic applications of engineered magnetic nanoparticles, especially in MR imaging technologies and nanomaterials development. As the feasibilities of magnetic nanoparticles for molecular imaging and drug delivery have been demonstrated by a great number of studies in the past decade, MRI guiding and monitoring techniques are desired to improve the disease specific diagnosis and efficacy of therapeutics. Continuous effort and development are expected to be focused on further improvement of the sensitivity and quantifications of magnetic nanoparticles in vivo for theranostics in future.

The new design and preparation of magnetic nanoparticles need to carefully consider the parameters determining the relaxivities of the nanoconstructs. Sensitive and reliable MRI methods have to be established for the quantitative detection of magnetic nanoparticles. The new generations of magnetic nanoparticles will be made not only based on the new chemistry and biological applications, but also with combined knowledge of contrast mechanisms and MRI technologies and capabilities. As new magnetic nanoparticles are available for theranostic applications, it is anticipated that new contrast mechanism and MR imaging strategies can be developed based on the novel properties of engineered magnetic nanoparticles.

References:

1http://www.omicsonline.org/2157-7439/2157-7439-2-115.php

2http://www.clinical-mri.com/pdf/CMRI/8036XXP14Ap454-472.PDF

3http://www.thno.org/v02p0086.htm

4http://www.omicsonline.org/2157-7439/2157-7439-2-115.pdf

5http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3017480/

6http://www.nature.com/nmeth/journal/v7/n12/full/nmeth1210-957.html

7http://endomagnetics.com/wp-content/uploads/2011/01/TargOncol_Review_2009.pdf

8http://www.nature.com/nnano/journal/v2/n5/abs/nnano.2007.105.html

9http://www.azonano.com/article.aspx?ArticleID=2680

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Reporter: Aviva Lev-Ari, PhD, RN

Combinatorial Pharmacogenetic Interactions of Bucindolol and β1, α2C Adrenergic Receptor Polymorphisms

 

UPDATED ON 9/4/2019

Beta-Blockers Increase Survival for HF Patients With Renal Impairment

Call for use of the agents in those with heart failure with reduced ejection fraction

 

Christopher M. O’Connor1*, Mona Fiuzat1, Peter E. Carson2, Inder S. Anand3, Jonathan F. Plehn4, Stephen S. Gottlieb5, Marc A. Silver6, JoAnn Lindenfeld7, Alan B. Miller8, Michel White9, Ryan Walsh7, Penny Nelson7, Allen Medway7, Gordon Davis10, Alastair D. Robertson7, J. David Port7,10, James Carr10, Guinevere A. Murphy10,Laura C. Lazzeroni11, William T. Abraham12, Stephen B. Liggett13, Michael R. Bristow7,10

1 Division of Cardiology, Duke University Medical Center/Duke Clinical Research Institute, Durham, North Carolina, United States of America,2 Division of Cardiology, Department of Veterans Affairs, Washington, District of Columbia, United States of America, 3 Division of Cardiology, Department of Veterans Affairs, Minneapolis, Minnesota, United States of America, 4 National Heart, Lung, and Blood Institute, National Institutes of Health, Washington, District of Columbia, United States of America, 5 Department of Medicine, University of Maryland, Baltimore, Maryland, United States of America, 6 Heart and Vascular Institute, Advocate Christ Medical Center, Oak Lawn, Illinois, United States of America, 7 Division of Cardiology/Cardiovascular Institute, University of Colorado School of Medicine, Aurora, Colorado, United States of America, 8 Division of Cardiology, University of Florida Health Sciences Center, Jacksonville, Florida, United States of America, 9 Research Center, Montreal Heart Institute, Montreal, Quebec, Canada, 10 ARCA biopharma, Broomfield, Colorado, United States of America, 11 Department of Psychiatry and Behavioral United States of America, Sciences and of Pediatrics, Stanford University, Stanford, California, United States of America, 12 Ohio State University, Columbus, Ohio, United States of America, 13 Center for Personalized Medicine and Genomics, University of South Florida, Morsani College of Medicine, Tampa, Florida, United States of America

Competing interests: Drs Bristow, Carr, Murphy, and Port and Mr Davis are employees of and own stock or stock options in ARCA biopharma, Inc., which owns the rights to bucindolol. Drs Fiuzat, Liggett, Lindenfeld, and Robertson are consultants of ARCA biopharma. Also, Drs Fiuzat and Liggett own stock or stock options in ARCA biopharma. Drs O’Connor, Carson, Anand, Plehn, Gottlieb, Silver, Miller, White, Lazzeroni, and Abraham and Mr Walsh, Ms Nelson, and Mr Medway have no conflicts to report. This does not alter the authors’ adherence to all the PLOS ONE policies on sharing data and materials.* E-mail: christophe.oconnor@duke.edu

Background

Pharmacogenetics involves complex interactions of gene products affecting pharmacodynamics and pharmacokinetics, but there is little information on the interaction of multiple genetic modifiers of drug response. Bucindolol is a β-blocker/sympatholytic agent whose efficacy is modulated by polymorphisms in the primary target (β1 adrenergic receptor [AR] Arg389 Gly on cardiac myocytes) and a secondary target modifier (α2C AR Ins [wild-type (Wt)] 322–325 deletion [Del] on cardiac adrenergic neurons). The major allele homozygotes and minor allele carriers of each polymorphism are respectively associated with efficacy enhancement and loss, creating the possibility for genotype combination interactions that can be measured by clinical trial methodology.

Methodology

In a 1,040 patient substudy of a bucindolol vs. placebo heart failure clinical trial, we tested the hypothesis that combinations of β1389 and α2C322–325 polymorphisms are additive for both efficacy enhancement and loss. Additionally, norepinephrine (NE) affinity for β1389 AR variants was measured in human explanted left ventricles.

Principal Findings

The combination of β1389 Arg+α2C322–325 Wt major allele homozygotes (47% of the trial population) was non-additive for efficacy enhancement across six clinical endpoints, with an average efficacy increase of 1.70-fold vs. 2.32-fold in β1389 Arg homozygotes+α2C322–325 Del minor allele carriers. In contrast, the minor allele carrier combination (13% subset) exhibited additive efficacy loss. These disparate effects are likely due to the higher proportion (42% vs. 8.7%, P = 0.009) of high-affinity NE binding sites in β1389 Arg vs. Gly ARs, which converts α2CDel minor allele-associated NE lowering from a therapeutic liability to a benefit.

Conclusions

On combination, the two sets of AR polymorphisms

1) influenced bucindolol efficacy seemingly unpredictably but consistent with their pharmacologic interactions, and

2) identified subpopulations with enhanced (β1389 Arg homozygotes), intermediate (β1389 Gly carriers+α2C322–325 Wt homozygotes), and no (β1389 Gly carriers+α2C322–325 Del carriers) efficacy.

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Figure 1:

http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0044324

Limitations

There are some limitations to this study. First, although the substudy was prospectively designed and hypothesis-driven, the pharmacogenetic data were generated and analyzed after the trial’s main results were analyzed and published [5]. However, the investigators generating the pharmacogenetic data remained blinded to the treatment code and to clinical outcomes throughout. Second, approximately two-thirds of the patients were enrolled into the DNA substudy after being randomized into the parent trial. This “late entry” phenomenon has been extensively analyzed, by both L-truncation [12] and, most recently, propensity score statistical methods (unpublished observations). The effect of late entry into the DNA substudy is only to lower event rates for all clinical endpoints, without affecting genotype-specific treatment effects.

Conclusions

The combinatorial interaction of two sets of AR polymorphisms that influence bucindolol’s drug action resulted in unanticipated effects on HF clinical responses, non-additivity in efficacy enhancement for the major allele homozygotes, and additive effects for minor allele carrier-associated efficacy loss. An explanation for these disparate results was provided by the effects of the α2C322–325 minor (Del) allele on facilitating bucindolol’s NE-lowering properties, where excessive NE lowering abolished efficacy when the β1389 Gly minor allele and low NE affinity AR were present but did not alter or even enhance efficacy in the presence of the major allele homozygous β1389 Arg genotype, which encodes ARs with a NE affinity of ~100-fold more than 389 Gly ARs.

Combinatorial genotyping led to improvement in pharmacogenetic differentiation of drug response compared with monotype genotyping. The use of β1389 Arg/Gly and α2C322–325 Wt/Del genotype combinations accomplishes the goal of pharmacogenetics to identify response outliers from both ends of the therapeutic spectrum. Compared with the use of β1389 Arg/Gly or α2C322–325 Wt/Del monotypes, the differential efficacy gained by the use of genotype combinations was increased by respective amounts of 54% and 94%. The new identification of a completely unresponsive genotype, supported by biologic plausibility and bolstered by data consistency across multiple clinical endpoints, is especially important inasmuch as a major goal of pharmacogenetics is to identify patients with no likelihood of benefit who can then be spared drug side effects [21]. Other β-blockers that have been used to treat HF do not have these pharmacogenetic interactions [22][23], but rather exhibit response heterogeneity through other, unknown mechanisms[8]. Thus, the ability to predict drug response through pre-treatment pharmacogenetic testing should improve therapeutic response to this drug class but will need to be confirmed by prospective studies.

Finally, the unexpected results of this study, (i.e., the additive loss of efficacy by minor allele combinations in the absence of additive gain of efficacy by major allele homozygotes) emphasizes that combinations of response-altering polymorphisms may behave in unpredictable ways and in-silico predictions of combinatorial genetic effects will need to be supported by empirical data.

References

  1. [No authors listed] (1999) The Cardiac Insufficiency Bisoprolol Study II (CIBIS-II): a randomised trial. Lancet 353: 9–13. FIND THIS ARTICLE ONLINE
  2. Flather MD, Shibata MC, Coats AJ, Van Veldhuisen DJ, Parkhomenko A, et al. (2005) Randomized trial to determine the effect of nebivolol on mortality and cardiovascular hospital admission in elderly patients with heart failure (SENIORS). Eur Heart J 26: 215–225. FIND THIS ARTICLE ONLINE
  3. [No authors listed] (1999) Effect of metoprolol CR/XL in chronic heart failure: Metoprolol CR/XL Randomised Intervention Trial in Congestive Heart Failure (MERIT-HF). Lancet 353: 2001–2007.FIND THIS ARTICLE ONLINE
  4. Packer M, Coats AJ, Fowler MB, Katus HA, Krum H, et al. (2001) Effect of carvedilol on survival in severe chronic heart failure. N Engl J Med 344: 1651–1658. FIND THIS ARTICLE ONLINE
  5. The Beta Blocker Evaluation of Survival Trial Investigators (2001) A trial of the beta-blocker bucindolol in patients with advanced chronic heart failure. N Engl J Med 344: 1659–1667. FIND THIS ARTICLE ONLINE
  6. Domanski MJ, Krause-Steinrauf H, Massie BM, Deedwania P, Follmann D, et al. (2003) A comparative analysis of the results from 4 trials of beta-blocker therapy for heart failure: BEST, CIBIS-II, MERIT-HF, and COPERNICUS. J Card Fail 9: 354–363. FIND THIS ARTICLE ONLINE
  7. O’Connor CM, Fiuzat M, Caron MF, Deedwania P, Follmann D, et al. (2011) Influence of global region on outcomes in large heart failure β-blocker trials. J Am Coll Cardiol 58: 915–922. FIND THIS ARTICLE ONLINE
  8. Metra M, Bristow MR (2010) Beta-blocker therapy in chronic heart failure. In: Mann DL, ed. Heart Failure: A companion to Braunwald’s Heart Disease.
  9. Small KM, Wagoner LE, Levin AM, Kardia SL, Liggett SB (2002) Synergistic polymorphisms of beta1- and alpha2C-adrenergic receptors and the risk of congestive heart failure. N Engl J Med 347: 1135–1142. FIND THIS ARTICLE ONLINE
  10. Mialet Perez J, Rathz DA, Petrashevskaya NN, Hahn HS, Wagoner LE, et al. (2003) Beta 1-adrenergic receptor polymorphisms confer differential function and predisposition to heart failure. Nat Med 9: 1300–1305. FIND THIS ARTICLE ONLINE
  11. Liggett SB, Mialet-Perez J, Thaneemit-Chen S, Weber SA, Greene SM, et al. (2006) A polymorphism within a conserved beta(1)-adrenergic receptor motif alters cardiac function and beta-blocker response in human heart failure. Proc Natl Acad Sci U S A 103: 11288–11293. FIND THIS ARTICLE ONLINE
  12. Bristow MR, Murphy GA, Krause-Steinrauf H, Anderson JL, Carlquist JF, et al. (2010) An α2C-adrenergic receptor polymorphism alters the norepinephrine lowering effects and therapeutic response of the beta blocker bucindolol in chronic heart failure. Circ Heart Fail 3: 21–28. FIND THIS ARTICLE ONLINE
  13. Mason DA, Moore JD, Green SA, Liggett SB (1999) A gain-of-function polymorphism in a G-protein coupling domain of the human beta1-adrenergic receptor. J Biol Chem 274: 12670–12674. FIND THIS ARTICLE ONLINE
  14. Sandilands AJ, O’Shaughnessy KM, Brown MJ (2003) Greater inotropic and cyclic AMP responses evoked by noradrenaline through Arg389 β1-adrenoceptors versus Gly389 β1-adrenoceptors in isolated human atrial myocardium. Br J Pharmacol 138: 386–392. FIND THIS ARTICLE ONLINE
  15. Hein L, Altman JD, Kobilka BK (1999) Two functionally distinct alpha2-adrenergic receptors regulate sympathetic neurotransmission. Nature 402: 181–184. FIND THIS ARTICLE ONLINE
  16. Small KM, Forbes SL, Rahman FF, Bridges KM, Liggett SB (2000) A four amino acid deletion polymorphism in the third intracellular loop of the human alpha 2C-adrenergic receptor confers impaired coupling to multiple effectors. J Biol Chem 275: 23059–23064. FIND THIS ARTICLE ONLINE
  17. Evans WE, Relling MV (2004) Moving towards individualized medicine with pharmacogenomics. Nature 429: 464–468. FIND THIS ARTICLE ONLINE
  18. Sadee W, Dai Z (2005) Pharmacogenetics/genomics and personalized medicine. Hum Mol Genet 14 (Spec No.2) R207–R214. FIND THIS ARTICLE ONLINE
  19. Hershberger RE, Wynn JR, Sundberg L, Bristow MR (1990) Mechanism of action of bucindolol in human ventricular myocardium. J Cardiovasc Pharm 15: 959–967. doi: 10.1097/00005344-199006000-00014FIND THIS ARTICLE ONLINE
  20. Bristow MR, Krause-Steinrauf H, Nuzzo R, Liang CS, Lindenfeld J, et al. (2004) Effect of baseline or changes in adrenergic activity on clinical outcomes in the beta-blocker evaluation of survival trial (BEST). Circulation 110: 1437–1442. FIND THIS ARTICLE ONLINE
  21. Woodcock J, Lesko LJ (2009) Pharmacogenetics–tailoring treatment for the outliers. N Engl J Med 360: 811–813. FIND THIS ARTICLE ONLINE
  22. White HL, de Boer RA, Maqbool A, Greenwood D, van Veldhuisen DJ, et al. (2003) An evaluation of the beta-1 adrenergic receptor Arg389Gly polymorphism in individuals with heart failure: a MERIT-HF sub-study. Eur J Heart Fail 5: 463–468. FIND THIS ARTICLE ONLINE
  23. Sehnert AJ, Daniels SE, Elashoff M, Wingrove JA, Burrow CR, et al. (2008) Lack of association between beta adrenergic receptor genotype and survival in heart failure patients treated with carvedilol or metoprolol. J Am Coll Cardiol 52: 644–651. FIND THIS ARTICLE ONLINE
Source:

BROOMFIELD, Colo. (TheStreet) — Wacky, inexplicable things sometimes happen to biotech stocks. Like Friday, when ARCA Biopharma (ABIO) shares more than tripled after the small drug company was granted a new U.S. patent for its experimental heart failure drug.

Arca shares rose an astonishing $5.57, or 210%, to close Friday at $8.22. Calculated another way, one U.S. patent for Arca added $40 million in market value.

Not bad, especially considering Friday’s announcement wasn’t particularly new. Arca issued a press release in January announcing the U.S. Patent and Trademark Office had informed the company that the patent was coming. Friday’s press release simply confirmed that the patent had been issued.

In case you’re wondering, Arca shares rose just 17 cents as a result of the January press release.

So, what’s made Arca rocket Friday when it barely budged in January on the same patent news?

Like I said, some things in biotech defy logic. Fundamentals had nothing to do it, clearly. Instead, Friday’s move was more likely a function of momentum traders finding an easy plaything in Arca, which sports a tiny float of just 4.4 million shares.

More than 49 million Arca shares traded hands Friday, or seven times the number of shares outstanding.

It was little noticed Friday, but Arca actually disclosed some bad news regarding the development of its heart failure drug bucindolol. Arca and the U.S. Food and Drug Administration have still not come to agreement on a Special Protocol Assessment for a proposed phase III study of bucindolol. Arca said Friday it had to submit revisions to the design of the study, which will now enroll 3,200 heart failure patients, up from 3,000 patients previously.

Arca needs FDA sign off on the bucindolol trial design, after which the company needs to raise money to conduct the trial. Arca says it can likely start the pivotal bucindolol study one year after both those things happen. The company expects the study to take two years to complete once fully enrolled.

As of December 31, Arca had $7.8 million in its coffers.

http://www.thestreet.com/story/10712682/1/arca-biopharma-patent-deja-vu-biobuzz.html

In a study sponsored by ARCA Biopharma ($ABIO) and carried out by a number of U.S. universities, a pharmacogenetic test predicted which patients would respond to the company’s beta blocker and vasodilator bucindolol (Gencaro), in development for the treatment of chronic heart failure. The level of clinical activity of this oral drug depends on two changes in two genes.

The researchers screened more than a thousand of the patients with congestive heart failure who took part in the Beta-Blocker Evaluation of Survival Trial (BEST) and were given either bucindolol or dummy pills. Based on the patients’ clinical results and genetic profile, the team created a “genetic scorecard.” The results were published in PLoS ONE.

A biomarker for bucindolol will not only speed it through development but could also be used to point out those patients who will (and won’t) respond to which drug, sparing those patients who won’t respond the risk of potential side effects.

According to Stephen B. Liggett of the University of South Florida and founder of ARCA Biopharma, the researchers were able to use the two-gene test to “identify individuals with heart failure who will not respond to bucindolol and those who have an especially favorable treatment response. We also identified those who will have an intermediate level of response. The results showed that the choice of the best drug for a given patient, made the first time without a trial-and-error period, can be accomplished using this two-gene test.”

Bucindolol has been designated as a fast track development program for the reduction of cardiovascular mortality and cardiovascular hospitalizations in a genotype-defined heart failure population.

http://www.fiercebiomarkers.com/press-releases/two-gene-test-predicts-which-patients-heart-failure-respond-best-beta-block?utm_medium=nl&utm_source=internal

October 17, 2012

Two-gene test predicts which patients with heart failure respond best to beta-blocker drug, study finds
Personalized medicine research at University of South Florida strikes early for heart genes

Tampa, FL – A landmark paper identifying genetic signatures that predict which patients will respond to a life-saving drug for treating congestive heart failure has been published by a research team co-led by Stephen B. Liggett, MD, of the University of South Florida.

The study, drawing upon a randomized placebo-controlled trial for the beta blocker bucindolol, appears this month in the  international online journal PLoS ONE.  In addition to Dr. Liggett, whose laboratory discovered and characterized the two genetic variations, Christopher O’Connor, MD, of Duke University Medical Center, and Michael Bristow, MD, PhD, of ARCA biopharma and the University of Colorado Anschutz Medical Campus, were leading members of the research team.
The analysis led to a “genetic scorecard” for patients with congestive heart failure, a serious condition in which the heart can’t pump enough blood to meet the body’s needs, said Dr. Liggett, the study’s co-principal investigator and the new vice dean for research and vice dean for personalized medicine and genomics at the USF Morsani College of Medicine.
“We have been studying the molecular basis of heart failure in the laboratory with a goal of finding genetic variations in a patient’s DNA that alter how drugs work,” Dr. Liggett said.  “We took this knowledge from the lab to patients and found that we can indeed, using a two-gene test, identify individuals with heart failure who will not respond to bucindolol and those who have an especially favorable treatment response. We also identified those who will have an intermediate level of response.” The research has implications for clinical practice, because the genetic test could theoretically be used to target the beta blocker to patients the drug is likely to help. Equally important, its use could be avoided in patients with no likelihood of benefit, who could then be spared potential drug side effects.  Prospective studies are needed to confirm that bucindolol would be a better treatment than other classes of beta blockers for a subset of patients with health failure.

Dr. Liggett collaborated with medical centers across the United States, including the NASDAq-listed biotech company ARCA biopharma, which he co-founded in Denver, CO.   This genetic sub-study involved 1,040 patients who participated in the Beta-Blocker Evaluation of Survival Trial (BEST).  The researchers analyzed mortality, hospital admissions for heart failure exacerbations and other clinical outcome indicators of drug performance.

“The results showed that the choice of the best drug for a given patient, made the first time without a trial-and-error period, can be accomplished using this two-gene test,” Dr. Liggett said.

The genetic test discovered by the Liggett team requires less than 1/100th of a teaspoon of blood drawn from a patient, from which DNA is isolated.  DNA is highly stable when frozen, so a single blood draw will suffice for many decades, Dr. Liggett said. And since a patient’s DNA does not change over their lifetime, as new discoveries are made and other tests need to be run, it would not be necessary to give another blood sample, he added.

This is part of the strategy for the USF Center for Personalized Medicine and Genomics. The discovery of genetic variations in diseases can be targeted to predict three new types of information: who will get a disease, how the disease will progress, and the best drug to use for treatment.

“In the not too distant future, such tests will become routine, and patient outcomes, and the efficiency and cost of medical care will be impacted in positive ways.  We also will move toward an era where we embrace the fact that one drug does not fit all,” Dr. Liggett said.  “If we can identify by straightforward tests which drug is best for which patient, drugs that work with certain smaller populations can be brought to the market, filling a somewhat empty pipeline of new drugs.”

This approach is applicable to most diseases, Dr. Liggett said, but the USF Center has initially concentrated on heart disease, because it is a leading cause of deaths, hospitalizations and lost productivity in the Tampa Bay region and Florida.  Dr. Liggett is a recent recruit to the USF Health Morsani College of Medicine, coming from the University of Maryland School of Medicine.  His work at USF has been supported by several National Institutes of Health grants and $2 million in funding from Hillsborough County.

Heart failure is characterized by an inability of the heart muscle to pump blood, resulting in dysfunction of multiple organs caused by poor blood and oxygen flow throughout the body.  An estimated 6 million Americans are living with heart failure, and more than half a million new cases are diagnosed each year.  About 50 percent of patients diagnosed with heart failure die within five years.  The economic burden of heart failure in the United States is estimated at $40 billion a year.

Article citation:
Christopher M. O’Connor, Mona Fiuzat, Peter E. Carson, Inder S. Anand, Jonathan F. Plehn, Stephen S. Gottlieb, Marc A. Silver, JoAnn Lindenfeld, Alan B. Miller, Michel White, Ryan Walsh, Penny Nelson, Allen Medway, Gordon Davis, Alastair D. Robertson, J. David Port, James Carr, Guinevere A. Murphy, Laura C. Lazzeroni, William T. Abraham, Stephen B. Liggett and Michael Bristow, “Combinatorial Pharmacogenetic Interactions of Bucindolol and β1, α2C Adrenergic Receptor Polymorphisms,” PLoS ONE   7(10): e44324. doi:10.1371/journal.pone.0044324

-USF Health-

USF Health’s mission is to envision and implement the future of health. It is the partnership of the USF Health Morsani College of Medicine, the College of Nursing, the College of Public Health, the College of Pharmacy, the School of Biomedical Sciences and the School of Physical Therapy and Rehabilitation Sciences; and the USF Physician’s Group. The University of South Florida is a global research university ranked 50th in the nation by the National Science Foundation for both federal and total research expenditures among all U.S. universities.

Media contact:
Anne DeLotto Baier, USF Health Communications
(813) 974-3303 or abaier@health.usf.edu

Read more: Two-gene test predicts which patients with heart failure respond best to beta-blocker drug, study finds – FierceBiomarkers http://www.fiercebiomarkers.com/press-releases/two-gene-test-predicts-which-patients-heart-failure-respond-best-beta-block#ixzz29ZLX92k6
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Author and Curator: Ritu Saxena, Ph.D.

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Word Cloud By Danielle Smolyar

Introduction

Nitric oxide (NO) is a lipophilic, highly diffusible and short-lived molecule that acts as a physiological messenger and has been known to regulate a variety of important physiological responses including vasodilation, respiration, cell migration, immune response and apoptosis. Jordi Muntané et al

NO is synthesized by the Nitric Oxide synthase (NOS) enzyme and the enzyme is encoded in three different forms in mammals: neuronal NOS (nNOS or NOS-1), inducible NOS (iNOS or NOS-2), and endothelial NOS (eNOS or NOS-3). The three isoforms, although similar in structure and catalytic function, differ in the way their activity and synthesis in controlled inside a cell. NOS-2, for example is induced in response to inflammatory stimuli, while NOS-1 and NOS-3 are constitutively expressed.

Regulation by Nitric oxide

NO is a versatile signaling molecule and the net effect of NO on gene regulation is variable and ranges from activation to inhibition of transcription.

The intracellular localization is relevant for the activity of NOS. Infact, NOSs are subject to specific targeting to subcellular compartments (plasma membrane, Golgi, cytosol, nucleus and mitochondria) and that this trafficking is crucial for NO production and specific post-translational modifications of target proteins.

Role of Nitric oxide in Cancer

One in four cases of cancer worldwide are a result of chronic inflammation. An inflammatory response causes high levels of activated macrophages. Macrophage activation, in turn, leads to the induction of iNOS gene that results in the generation of large amount of NO. The expression of iNOS induced by inflammatory stimuli coupled with the constitutive expression of nNOS and eNOS may contribute to increased cancer risk. NO can have varied roles in the tumor environment influencing DNA repair, cell cycle, and apoptosis. It can result in antagonistic actions including DNA damage and protection from cytotoxicity, inhibiting and stimulation cell proliferation, and being both anti-apoptotic and pro-apoptotic. Genotoxicity due to high levels of NO could be through direct modification of DNA (nitrosative deamination of nucleic acid bases, transition and/or transversion of nucleic acids, alkylation and DNA strand breakage) and inhibition of DNA repair enzymes (such as alkyltransferase and DNA ligase) through direct or indirect mechanisms. The Multiple actions of NO are probably the result of its chemical (post-translational modifications) and biological heterogeneity (cellular production, consumption and responses). Post-translational modifications of proteins by nitration, nitrosation, phosphorylation, acetylation or polyADP-ribosylation could lead to an increase in the cancer risk. This process can drive carcinogenesis by altering targets and pathways that are crucial for cancer progression much faster than would otherwise occur in healthy tissue.

NO can have several effects even within the tumor microenvironment where it could originate from several cell types including cancer cells, host cells, tumor endothelial cells. Tumor-derived NO could have several functional roles. It can affect cancer progression by augmenting cancer cell proliferation and invasiveness. Infact, it has been proposed that NO promotes tumor growth by regulating blood flow and maintaining the vasodilated tumor microenvironment. NO can stimulate angiogenesis and can also promote metastasis by increasing vascular permeability and upregulating matrix metalloproteinases (MMPs). MMPs have been associated with several functions including cell proliferation, migration, adhesion, differentiation, angiogenesis and so on. Recently, it was reported that metastatic tumor-released NO might impair the immune system, which enables them to escape the immunosurveillance mechanism of cells. Molecular regulation of tumour angiogenesis by nitric oxide.

S-nitrosylation and Cancer

The most prominent and recognized NO reaction with thiols groups of cysteine residues is called S-nitrosylation or S-nitrosation, which leads to the formation of more stable nitrosothiols. High concentrations of intracellular NO can result in high concentrations of S-nitrosylated proteins and dysregulated S-nitrosylation has been implicated in cancer. Oxidative and nitrosative stress is sensed and closely associated with transcriptional regulation of multiple target genes.

Following are a few proteins that are modified via NO and modification of these proteins, in turn, has been known to play direct or indirect roles in cancer.

NO mediated aberrant proteins in Cancer

Bcl2

Bcl-2 is an important anti-apoptotic protein. It works by inhibiting mitochondrial Cytochrome C that is released in response to apoptotic stimuli. In a variety of tumors, Bcl-2 has been shown to be upregulated, and it has additionally been implicated with cancer chemo-resistance through dysregulation of apoptosis. NO exposure causes S-nitrosylation at the two cysteine residues – Cys158 and Cys229 that prevents ubiquitin-proteasomal pathway mediated degradation of the protein. Once prevented from degradation, the protein attenuates its anti-apoptotic effects in cancer progression. The S-nitrosylation based modification of Bcl-2 has been observed to be relevant in drug treatment studies (for eg. Cisplatin). Thus, the impairment of S-nitrosylated Bcl-2 proteins might serve as an effective therapeutic target to decrease cancer-drug resistance.

p53

p53 has been well documented as a tumor suppressor protein and acts as a major player in response to DNA damage and other genomic alterations within the cell. The activation of p53 can lead to cell cycle arrest and DNA repair, however, in case of irrepairable DNA damage, p53 can lead to apoptosis. Nuclear p53 accumulation has been related to NO-mediated anti-tumoral properties. High concentration of NO has been found to cause conformational changes in p53 resulting in biological dysfunction.. In RAW264.7, a murine macrophage cell line, NO donors induce p53 accumulation and apoptosis through JNK-1/2.

HIF-1a

Hypoxia-inducible factor 1 (HIF1) is a heterodimeric transcription factor that is predominantly active under hypoxic conditions because the HIF-1a subunit is rapidly degraded in normoxic conditions by proteasomal degradation. It regulates the transciption of several genes including those involved in angiogenesis, cell cycle, cell metabolism, and apoptosis. Hypoxic conditions within the tumor can lead to overexpression of HIF-1a. Similar to hypoxia-mediated stress, nitrosative stress can stabilize HIF-1a. NO derivatives have also been shown to participate in hypoxia signaling. Resistance to radiotherapy has been traced back to NO-mediated HIF-1a in solid tumors in some cases.

PTEN

Phosphatase and tensin homolog deleted on chromosome ten (PTEN), is again a tumor suppressor protein. It is a phosphatase and has been implicated in many human cancers. PTEN is a crucial negative regulator of PI3K/Akt signaling pathway. Over-activation of PI3K/Akt mediated signaling pathway is known to play a major role in tumorigenesis and angiogenesis. S-nitrosylation of PTEN, that could be a result of NO stress, inhibits PTEN. Inhibition of PTEN phosphatase activity, in turn, leads to promotion of angiogenesis.

C-Src

C-src belongs to the Src family of protein tyrosine kinases and has been implicated in the promotion of cancer cell invasion and metastasis. It was demonstrated that S-nitrosylation of c-Src at cysteine 498 enhanced its kinase activity, thus, resulting in the enhancement of cancer cell invasion and metastasis.

Reference:

Muntané J and la Mata MD. Nitric oxide and cancer. World J Hepatol. 2010 Sep 27;2(9):337-44. http://www.ncbi.nlm.nih.gov/pubmed/21161018

Wang Z. Protein S-nitrosylation and cancer. Cancer Lett. 2012 Jul 28;320(2):123-9. http://www.ncbi.nlm.nih.gov/pubmed/22425962

Ziche M and Morbidelli L. Molecular regulation of tumour angiogenesis by nitric oxide. Eur Cytokine Netw. 2009 Dec;20(4):164-70.http://www.ncbi.nlm.nih.gov/pubmed/20167555

Jaiswal M, et al. Nitric oxide in gastrointestinal epithelial cell carcinogenesis: linking inflammation to oncogenesis. Am J Physiol Gastrointest Liver Physiol. 2001 Sep;281(3):G626-34. http://www.ncbi.nlm.nih.gov/pubmed/11518674

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Reporter: Aviva Lev-Ari, PhD, RN

 

Inform Genomics Developing SNP Test to Predict Side Effects, Help MDs Choose among Chemo Regimens

October 10, 2012

Inform Genomics, a Boston-based diagnostics company, said its “Oncology Preferences and Risk of Toxicity,” or OnPART, test showed greater than 90 percent accuracy in predicting which cancer patients are at risk of experiencing serious side effects to various chemotherapy regimens in an early-stage study.

The company is developing the test to predict a patient’s risk for six common adverse events to combination chemotherapy regimens for colorectal, breast, lung, or ovarian cancer.

Inform Genomics’ president and CEO, Ed Rubenstein, told PGx Reporter that the company is narrowing down a set of SNP signatures that can predict six common moderate to serious side effects linked to different, but equally effective chemotherapy regimens, including dose-dense doxorubicin, cyclophosphamide and paclitaxel for breast cancer; oxaliplatin-based regimens for colorectal cancer; and carboplatin plus paclitaxel-based regimens for lung and ovarian cancer.

Rubenstein said that results from the discovery study, performed at the West Clinic in Memphis, Tenn., showed the signatures for all six side effects — nausea and vomiting, mouth sores, diarrhea, fatigue, cognitive dysfunction, and peripheral neuropathy — had greater than 90 percent predictive accuracy.

“What’s unique about [OnPART],” he said, “is that [it analyzes] not only genomic risk of six common side effects of combination chemotherapy regimens the way they are actually used in clinical practice, but it also includes a way to quantify patients’ concerns for how they view these side effects,” through a copyrighted patient questionnaire the company calls “Preference Assessment Inventory.”

He explained that Inform Genomics intends the test to display for oncologists the risk of these six side effects across different chemotherapy regimens that are considered “relatively equivalent” from an efficacy standpoint “but have wide variation in their toxicity profile.”

The company hopes this will allow patients to discuss with doctors, before beginning therapy, what their real risks are “as opposed to theoretical risks from population-based studies,” Rubenstein said.

He cited the example of a cancer patient who is a professional musician with a high genetic risk for neuropathy, according to OnPART. This patient’s quality of life would be greatly impacted if the chemotherapy regimen he or she was on caused debilitating nerve damage. “When they fill out their concerns and say neuropathy is a concern for them, that allows the doctor to help them understand their risk, and switch their chemotherapy regimen to another that is equally effective but does not put the patient at risk for neuropathy,” Rubenstein explained.

In the company’s discovery study, researchers tested saliva from 384 patients at the West Clinic who had been followed for a minimum of two cycles of chemotherapy and who had reported symptoms of the six side effects using a validated questionnaire.

Using Illumina microarrays, the group profiled 2.5 million potential SNPs to find those that correlated with particular side effects and regimens. Then the team used Inform Genomics’ proprietary Bayesian analysis algorithms to look at interactions between these SNPs.

“We have list of SNPs, and then from that we look at location on genes or outside genes and look at functional pathways and biology to make sure that what we are looking at makes sense,” Rubenstein explained.

Though the exact number of SNPs to be used for each side effect-predictor in OnPART has not yet been determined, Rubenstein said the marketed panel would likely include about 400 SNPs.

“[Our] commercial product is likely to be a custom chip because we don’t need 2.5 million once we’ve narrowed down the predictive SNPs,” he said. “So, let’s say we have six symptoms and each have 80 to 100 SNPs; maybe the chip would be 400 SNPs.”

The company plans to release a more detailed picture of the study and its results at future oncology meetings.

Rubenstein said the next step will be to raise additional capital and then design prospective validation studies for both OnPART and another test the company is developing to predict oral and gastrointestinal mucositis: side effects of high-dose chemotherapy administered before autologous stem cell transplant for multiple myeloma, Hodgkin’s disease, and non-Hodgkin’s lymphoma.

He said Inform Genomics is currently “in dialogue” with large practices and oncology networks who may be part of these future validation efforts.

“Our current plan is that we would launch the [OnPART] product by the third quarter of 2014,” he said. According to the company’s website, the transplant test would follow in 2015.

Molika Ashford is a GenomeWeb contributing editor and covers personalized medicine and molecular diagnostics. E-mail her here.

 

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Personalized Pancreatic Cancer Treatment Option

Reporter: Aviva Lev-Ari, PhD, RN

Clovis on Track to Unveil Data on New Personalized Pancreatic Cancer Treatment Option by Year End

October 10, 2012
 

Drug developer Clovis Oncology is planning to report data from a clinical trial later this year that may yield a new treatment option for pancreatic cancer patients who are poor responders to gemcitabine.

Clovis is conducting a study, called LEAP, of 360 chemotherapy-naïve metastatic pancreatic cancer patients who are randomized to receive the current standard of care gemcitabine, or the investigational CO-101, a gemcitabine-lipid conjugate. The study investigators are hypothesizing that unlike gemcitabine, CO-101 won’t depend on the expression levels of the protein cellular transporter hENT1 to enter and destroy tumor cells.

Gemcitabine, currently the first-line standard chemotherapy treatment for metastatic pancreatic cancer patients, requires a transport mechanism to help it enter tumor cells. Previously published data suggest that patients with high hENT1 expression respond well to gemcitabine, while those with low expression — about two-thirds of pancreatic cancer patients — respond poorly to the chemotherapeutic.

LEAP researchers have prospectively collected biopsy samples and have enrolled both high- and low-hENT1 expressers. Study investigators will be blind to the hENT1 expression status of patients until the end of the trial. Clovis is working with Roche subsidiary Ventana Medical Systems to simultaneously develop and validate a companion diagnostic that can gauge low and high hENT1 expression. The primary outcome that study investigators are measuring in LEAP is overall survival in the hENT1-low population.

“The question really is whether the lipid, which facilitates entry into the cell through passive diffusion, is going to be able to deliver gemcitabine as efficiently as when a nucleoside transporter is present,” Clovis CEO Patrick Mahaffy told PGx Reporter. “The answer is we don’t know, but we’ll find out in the study.”

The study may reveal that since CO-101 doesn’t depend on hENT1 to enter tumor cells, all metastatic pancreatic cancer patients, regardless of low or high expression of this protein, derive a level of benefit from the new treatment. Still, Clovis is using a companion test to stratify patients after factoring in reimbursement and cost-effectiveness considerations, which currently are perhaps the biggest barriers to the adoption of personalized treatments.

“Nothing we know suggests that we would be better than gemcitabine … in the hENT1 high population. Given the evolving reimbursement environment and the fact that gemcitabine is generic and is priced as such, pending a successful outcome we anticipate that [CO-101] would be used primarily, if not solely, in the hENT1 low population where we anticipate poor outcomes for gemcitabine,” Mahaffy said. “We anticipate that gemcitabine would continue to be the favored product on price alone even if we were to show equivalence to CO-101 in the hENT1 high population.”

Clovis Oncology will commercialize CO-101 globally. The company is currently setting up commercialization infrastructure in the US for the drug, anticipating a launch as early as next year. Clovis won’t necessarily co-promote CO-101 and the companion test with Ventana. The test developer will be in charge of commercializing the test, and Clovis will market the drug with its sales representatives, who will also be educating oncologists about the need for a companion test.

Ventana will submit its premarket approval application for the hENT1 expression test at the same time that Clovis submits its new drug application for CO-101. The test will be marketed as not just a companion diagnostic to assess whether pancreatic cancer patients have low levels of hENT1 and would therefore respond to CO-101, but Ventana will also be able to market the diagnostic as a tool to determine which high-hENT1 expressing patients should be given gemcitabine.

“The [LEAP] trial will clinically validate the diagnostic both for determining response to both gemcitabine and CO-101,” Mahaffy said.

There are around 120,000 cases of pancreatic cancer each year in the US, EU, and Japan, and around 24 percent of patients survive for one year. Around 80 percent of pancreatic cancer patients receive gemcitabine as monotherapy or in combination with other cytotoxic agents. Based on the low incidence of metastatic pancreatic cancer, Clovis has garnered Orphan Drug status for CO-101 from US and European regulatory authorities.

Although a number of retrospective trials have demonstrated that hENT1 expression levels impact outcomes in pancreatic cancer patients in the metastatic and adjuvant setting, LEAP will be the first prospective validation of this observation. “That’s why this trial is so important to the pancreatic cancer community,” Mahaffy said. “Because not only are we going to learn about CO-101, but we’re going to learn prospectively about the role hENT1 plays in determining the outcome for patients’ treatment with gemcitabine alone.”

Testing for hENT1 expression status is not widely conducted by doctors in the care of pancreatic patients. “In fact, it’s not even widely known in the broader community setting,” noted Mahaffy, adding that academic oncologists are increasingly aware of the association between hENT1 expression and gemcitabine efficacy. After LEAP concludes and if the trial is successful, Clovis plans to initiate discussions with treatment guideline-setting bodies.

In addition to looking at CO-101 as a first-line metastatic pancreatic cancer treatment in hENT1-low patients, Clovis is also studying the drug-conjugate as a second-line treatment in metastatic pancreatic cancer (Phase II), as well as in non-small cell lung cancer (Phase I).

Personalized NSCLC Drug

In addition to CO-101, Clovis has a number of investigational agents in its pipeline that it is developing in molecularly defined patient subsets. For example, CO-1686 is a selective covalent inhibitor of EGFR mutations that the firm is exploring in patients with NSCLC. Currently Clovis is conducting a dose-finding Phase I/II trial involving CO-1686 in NSCLC patients with T790M mutations. Patients with these “gatekeeper” mutations become resistant to treatment to widely prescribed EGFR-inhibiting NSCLC drugs, Roche/Genentech’s Tarceva and AstraZeneca’s Iressa.

CO-1686 “is a very potent inhibitor of T790M … [mutations in] which occur in 50 percent of lung cancer patients, after treatment with Tarceva,” Mahaffy said. After the dose-finding portion of the Phase I/II trial, Clovis plans to initiate an expansion cohort looking at T790M mutation-positive patients who are resistant to Tarceva. “If we see the kind of results we hope to in that expansion cohort, we would initiate a registration study beginning in 2014 in Tarceva-failed patients with T790M mutations,” he said.

While CO-1686 is an inhibitor of T790M mutations and other activating mutations of EGFR, the drug doesn’t inhibit wild-type EGFR like Tarceva and Iressa do, which can make NSCLC patients prone to serious side effects. “What is interesting about [CO-1686] is it is a very potent inhibitor of activating mutations of EGFR, the same targets that Tarceva or Iressa address, but unlike those drugs, [CO-1686] does not inhibit wild-type EGFR,” Mahaffy said. With CO-1686, “we should see very limited rash and diarrhea side effects associated with Tarceva and Iressa.”

First, Clovis will study CO-1686 as a second-line treatment in NSCLC patients with T790M mutations. Eventually, Clovis plans to study the drug head-to-head against Tarceva in the first-line setting. “Given the activity of our drug in animal models so far, we think we may have the ability to demonstrate superiority in terms of efficacy and from the side effects of Tarceva,” Mahaffy said. “We would hope to demonstrate in addition to a cleaner safety profile, a longer duration of benefit, because we would prevent that primary resistance mechanism in T790M from emerging.”

Roche Molecular Systems has partnered with Clovis to develop a companion diagnostic for CO-1686.

Meanwhile, last year, the European Commission approved the use of Roche/Genentech’s Tarceva as a first-line treatment for NSCLC in patients with EGFR mutations (PGx Reporter 9/7/2012). Last month, UK’s National Institute for Health and Clinical Excellence issued a draft guidance recommending that the country’s National Health Service pay for Tarceva as an option for this patient population. The company is in discussions with the US Food and Drug Administration about launching Tarceva in this population (PGx Reporter 06/08/2011).

Additionally, Boehringer Ingelheim is developing afatinib, a drug intended for advanced NSCLC patients with EGFR mutation-positive tumors (PGx Reporter 6/6/2012). Boehringer is working with Qiagen to advance a companion test for its drug.

An NGS-Based Companion Dx?

Another drug in Clovis’ pipeline is an inhibitor of PARP 1 and PARP 2, called rucaparib, which the company licensed from Pfizer. Rucaparib is currently undergoing Phase I/II trials in breast and ovarian cancer. The company is investigating the efficacy and safety of the drug in patients who lack the ability to repair damaged DNA that cancer cells need to thrive.

Mahaffy highlighted that Clovis is currently continuing a dose-finding Phase I study initiated by Pfizer combining rucaparib with carboplatin, and is conducting a Phase I trial investigating the drug as a monotherapy. This latter study will include an extension cohort of ovarian cancer patients with germline BRCA mutations.

Clovis is among a handful of drug developers, including Abbott and AstraZeneca, that are advancing PARP inhibitors with a personalized medicine strategy, betting that patients with BRCA 1/2 mutations will respond better to this class of drugs than those without these mutations. Previous studies have demonstrated that the PARP 1 enzyme and the BRCA gene work in concert to repair DNA damage, enabling survival of cancer tumors. Patients with BRCA mutations can’t repair DNA damage in this way, so then PARP inhibitors can be more effective in stopping cancer growth.

Abbott and AstraZeneca are using a companion test developed by Myriad Genetics to study their PARP inhibitors in BRCA-mutated patients with these diseases. Myriad markets BRACAnalysis, a test that gauges germline BRCA mutations associated with hereditary breast and ovarian cancer. However, gene alternations other than germline BRCA 1/2 mutations are linked to faulty DNA repair and PARP inhibitor response. For example, Clovis estimates that around 15 percent of women with ovarian cancer harbor germline BRCA 1/2 mutations, but another 8 percent of patients have somatic mutations in BRCA. Meanwhile, germline BRCA 1/2 mutations comprise only 5 percent of breast cancers.

When Pfizer was developing rucaparib, it was working with MDxHealth to explore methylation-specific markers associated with DNA damage repair and response to PARP inhibiters (PGx Reporter 2/2/2011). According to MDxHealth both methylation and mutation testing can characterize BRCA gene activity. The company previously estimated that BRCA methylation appears in about 40 percent to 50 percent of triple-negative breast cancer patients, and in about 10 percent to 30 percent in sporadic breast cancers.

Clovis has an open contract with MDxHealth looking at methylation profiles in breast and ovarian cancer, and will continue to explore this approach, specifically for methylated BRCA in triple-negative breast cancer. Additionally, Clovis is “considering the opportunity to look at both germline and somatic mutations of BRCA, based on a tissue-based assay,” Mahaffy said.

Beyond this, in August, Clovis and Foundation Medicine announced they are working together to investigate other genetic defects related to DNA repair deficiency.

“We went with Foundation Medicine … because it will allow us to reach a broader population,” Mahaffy said. For example, in ovarian cancer, Foundation Medicine’s next-generation sequencing platform could identify other mechanisms of DNA repair deficiencies that could potentially increase the intent-to-treat population for rucaparib from 15 percent of ovarian cancer patients with germline BRCA mutations to as much as 50 percent of the population that has somatic mutations in 28 additional genes that have been described as conferring “BRCA-ness” or as having a BRCA-like effect on DNA repair.

Clovis plans to develop a companion test for rucaparib on Foundation Medicine’s Foundation One targeted NGS platform. However, one challenge for Clovis is that the FDA hasn’t yet elucidated how it plans to regulate NGS-based tests. “Clearly, there is a seismic shift underway, and we may be one of the first to have plans to go forward on a premarket approval path with next-gen sequencing,” Mahaffy said. “But clearly the FDA and everyone else knows this tidal wave is coming.”

Clovis hopes to initiate a registration trial in the second half of next year looking at rucaparib as a maintenance therapy in ovarian cancer patients sensitive to platinum-based chemotherapy who have alterations in BRCA and deficiencies in other DNA repair genes. Foundation Medicine and Clovis have separately initiated discussions with the FDA about getting taking NGS-based tests through regulatory approval, Mahaffy said.

      Turna Ray is the editor of GenomeWeb’s Pharmacogenomics Reporter. She covers pharmacogenomics, personalized medicine, and companion diagnostics. E-mail her here or follow her GenomeWeb Twitter account at @PGxReporter.

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Reporter: Aviva Lev-Ari, PhD, RN

 

Economics and genetics meet in uneasy union

Use of population-genetic data to predict economic success sparks war of words.

10 October 2012 Corrected: 

  1. 12 October 2012
The United States has the right amount of genetic diversity to buoy its economy, claim economists.

picture: D. ACKER/BLOOMBERG VIA GETTY

“The invalid assumption that correlation implies cause is probably among the two or three most serious and common errors of human reasoning.” Evolutionary biologist Stephen Jay Gould was referring to purported links between genetics and an individual’s intelligence when he made this familiar complaint in his 1981 book The Mismeasure of Man

Fast-forward three decades, and leading geneticists and anthropologists are levelling a similar charge at economics researchers who claim that a country’s genetic diversity can predict the success of its economy. To critics, the economists’ paper seems to suggest that a country’s poverty could be the result of its citizens’ genetic make-up, and the paper is attracting charges of genetic determinism, and even racism. But the economists say that they have been misunderstood, and are merely using genetics as a proxy for other factors that can drive an economy, such as history and culture. The debate holds cautionary lessons for a nascent field that blends genetics with economics, sometimes called genoeconomics. The work could have real-world pay-offs, such as helping policy-makers to “reduce barriers to the flows of ideas and innovations across populations”, says Enrico Spolaore, an economist at Tufts University near Boston, Massachusetts, who has also used global genetic-diversity data in his research.

But the economists at the forefront of this field clearly need to be prepared for harsh scrutiny of their techniques and conclusions. At the centre of the storm is a 107-page paper by Oded Galor of Brown University in Providence, Rhode Island, and Quamrul Ashraf of Williams College in Williamstown, Massachusetts1. It has been peer-reviewed by economists and biologists, and will soon appear in American Economic Review, one of the most prestigious economics journals.

The paper argues that there are strong links between estimates of genetic diversity for 145 countries and per-capita incomes, even after accounting for myriad factors such as economic-based migration. High genetic diversity in a country’s population is linked with greater innovation, the paper says, because diverse populations have a greater range of cognitive abilities and styles. By contrast, low genetic diversity tends to produce societies with greater interpersonal trust, because there are fewer differences between populations. Countries with intermediate levels of diversity, such as the United States, balance these factors and have the most productive economies as a result, the economists conclude.

The manuscript had been circulating on the Internet for more than two years, garnering little attention outside economics — until last month, when Science published a summary of the paper in its section on new research in other journals. This sparked a sharp response from a long list of prominent scientists, including geneticist David Reich of Harvard Medical School in Boston, Massachusetts, and Harvard University palaeoanthropologist Daniel Lieberman in Cambridge.

In an open letter, the group said that it is worried about the political implications of the economists’ work: “the suggestion that an ideal level of genetic variation could foster economic growth and could even be engineered has the potential to be misused with frightening consequences to justify indefensible practices such as ethnic cleansing or genocide,” it said.

“Our study is not about a nature or nurture debate.”

The critics add that the economists made blunders such as treating the genetic diversity of different countries as independent data, when they are intrinsically linked by human migration and shared history. “It’s a misuse of data,” says Reich, which undermines the paper’s main conclusions. The populations of East Asian countries share a common genetic history, and cultural practices — but the former is not necessarily responsible for the latter. “Such haphazard methods and erroneous assumptions of statistical independence could equally find a genetic cause for the use of chopsticks,” the critics wrote.

They have missed the point, responds Galor, a prominent economist whose work examines the ancient origins of contemporary economic factors. “The entire criticism is based on a gross misinterpretation of our work and, in some respects, a superficial understanding of the empirical techniques employed,” he says. Galor and Ashraf told Nature that, far from claiming that genetic diversity directly influences economic development, they are using it as a proxy for immeasurable cultural, historical and biological factors that influence economies. “Our study is not about a nature or nurture debate,” says Ashraf. 

“It seems like the devil is in the interpretation more than the actual application of the statistics,” says Sohini Ramachandran, a population geneticist at Brown University who provided the genetic data for the study. She adds that Galor and Ashraf used estimates of genetic diversity that she and her colleagues specifically developed to overcome many of the confounding factors caused by the overlapping genetic and cultural histories of neighbouring countries.

Galor and Ashraf are not the first economists to use genetic-diversity data. Spolaore has also found that the differences in genetic diversity between countries can predict discrepancies in their level of economic development2. But he is clear that this is not necessarily a causal relationship:  “In my view it’s not genetic diversity itself that is responsible for this correlation,” he says. “A lot of this could be culture.”

Some say that the field needs a dose of rigour. Many studies linking genetic variation to economic traits make basic methodological errors, says Daniel Benjamin, a behavioural economist at Cornell University in Ithaca, New York. He is part of the Social Science Genetics Association Consortium, a group that brings together social scientists, epidemiologists and geneticists to improve such studies. Problems that medical geneticists have known about for years — such as those stemming from small sample sizes — crop up all too often when economists start to work with the data, he says.

For instance, while searching for genetic associations with factors such as happiness and income in a study of 2,349 Icelanders, Benjamin and his colleagues found a statistically significant association between educational attainment and a variant in a gene involved in breaking down a neurotransmitter molecule3. But the researchers could not replicate this association in three other population samples — a test for false positives that is standard practice in medical genetics — and the team now has reservations about the association. If the field is to develop fruitfully, “I think it’s essential for us to have geneticists involved”, says Benjamin. “We couldn’t do it without their help and insight.”

Nature 490, 154–155 (11 October 2012) doi:10.1038/490154a

Corrected:

In the original text, we wrongly attributed to Enrico Spolaore the opinion that using genetic data in economics could help policy-makers to set immigration levels. He actually suggested that the work could reduce barriers to the flows of ideas and innovations across populations. The text has been amended to reflect that.

References

  1. Ashraf, Q. & Galor, O. Am. Econ. Rev. (in the press).

    Show context

  2. Spolaore, E. & Wacziarg, W. Q. J. Econ. 124, 469–529 (2009).

    Show context

  3. Benjamin, D. J. et al. Annu. Rev. Econ. 4, 627–662 (2012).

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Atrial Fibrillation: The Latest Management Strategies

Reporter: Aviva Lev-Ari, PhD, RN

UPDATED on 8/5/2013

Ischemic strokes are the most common type of AFib-related stroke5 and can be extremely debilitating.6,7 It’s important to help your patients understand the risk of ischemic stroke and how you can help lower that risk.

Nearly 9 out of 10 AFib-related strokes are ischemic, and most are cardioembolic5,8,9

  • Cardioembolic strokes are most commonly caused by AFib9,10
  • Hemorrhagic strokes account for approximately 10% of AFib-related strokes5
  • AFib-related ischemic strokes are primarily caused by an embolus formed in the left atrial appendage of the heart11

Ischemic strokes can be devastating, often resulting in irreversible brain damage2

  • Debilitating effects of a stroke include paralysis, slurred speech, and memory loss12
    • Every second, ≈32,000 brain cells can die due to hypoxia from lack of blood flow4
    • In 1 minute, nearly 2 million brain cells can die—increasing the risk of disability or death2-4
  • Severely disabling stroke is frequently rated by patients as equivalent to or worse than death13

Strokes are a leading cause of disability in the US14

The good news is you can significantly reduce your AFib patients’ risk of ischemic stroke with anticoagulation therapy.11,15,16 By keeping them appropriately anticoagulated, you can help your patients avoid the devastation of ischemic stroke.11

AFib=atrial fibrillation.

References

  1. Types of stroke. Johns Hopkins Medicine Web site. http://www.hopkinsmedicine.org/healthlibrary/printv.aspx?d=85,P00813. Accessed August 9, 2012.
  2. Maas MB, Safdieh JE. Ischemic stroke: pathophysiology and principles of localization. Hospital Physician Neurology Board Review Manual. 2009;13:1-16.http://www.turner-white.com/pdf/brm_Neur_V13P1.pdf. Accessed February 1, 2013.
  3. Rosamond WD, Folsom AR, Chambless LE, et al. Stroke incidence and survival among middle-aged adults: 9-year follow-up of the Atherosclerosis Risk in Communities (ARIC) cohort. Stroke. 1999;30:736-743.
  4. Saver JL. Time is brain—quantified. Stroke. 2006;37:263-266.
  5. Mercaldi CJ, Ciarametaro M, Hahn B, et al. Cost efficiency of anticoagulation with warfarin to prevent stroke in Medicare beneficiaries with nonvalvular atrial fibrillation. Stroke. 2011;42:112-118.
  6. Vemmos KN, Tsivgoulis G, Spengos K, et al. Anticoagulation influences long-term outcome in patients with nonvalvular atrial fibrillation and severe ischemic stroke. Am J Geriatr Pharmacother. 2004;2:265-273.
  7. Lin HJ, Wolf PA, Kelly-Hayes M, et al. Stroke severity in atrial fibrillation. The Framingham Study. Stroke. 1996;27:1760-1764.
  8. Grau AJ, Weimar C, Buggle F, et al. Risk factors, outcome, and treatment in subtypes of ischemic stroke: the German Stroke Data Bank. Stroke. 2001;32:2559-2566.
  9. Bogousslavsky J, Van Melle G, Regli F, Kappenberger L. Pathogenesis of anterior circulation stroke in patients with nonvalvular atrial fibrillation: the Lausanne Stroke Registry. Neurology. 1990;40:1046-1050.
  10. Freeman WD, Aguilar MI. Prevention of cardioembolic stroke. Neurotherapeutics. 2011;8:488-502.
  11. Fuster V, Rydén LE, Cannom DS, et al. ACC/AHA/ESC 2006 Guidelines for the Management of Patients With Atrial Fibrillation—executive summary: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines and the European Society of Cardiology Committee for Practice Guidelines (Writing Committee to Revise the 2001 Guidelines for the Management of Patients With Atrial Fibrillation): developed in collaboration with the European Heart Rhythm Association and the Heart Rhythm SocietyCirculation. 2006;114:700-752.
  12. Effects of stroke. American Stroke Association Web site. http://www.strokeassociation.org/STROKEORG/AboutStroke/EffectsofStroke/Effects-of-Stroke_UCM_308534_SubHomePage.jsp. Accessed December 8, 2012.
  13. Gage BF, Cardinalli AB, Owens DK. The effect of stroke and stroke prophylaxis with aspirin or warfarin on quality of life. Arch Intern Med. 1996;156:1829-1836.
  14. Centers for Disease Control and Prevention (CDC). Prevalence of Stroke—United States, 2006-2010. MMWR Morb Mortal Wkly Rep. 2012;61:379-382.
  15. Singer DE, Chang Y, Fang MC, et al. The net clinical benefit of warfarin anticoagulation in atrial fibrillation. Ann Intern Med. 2009;151:297-305.
  16. Lip GYH, Andreotti F, Fauchier L, et al. Bleeding risk assessment and management in atrial fibrillation patients: a position document from the European Heart Rhythm Association, endorsed by the European Society of Cardiology Working Group on Thrombosis. Europace. 2011;13:723-746.

SOURCE

http://www.medscape.com/infosite/afib/public/

Straightforward, informed answers to your most important questions about living

with atrial fibrillation – the most common sustained cardiac arrhythmia.

Written by

Hugh G. Calkins, M.D., Director of the Arrhythmia Service

and Electrophysiology Lab at The Johns Hopkins Hospital,

and Ronald Berger, M.D.,

If you’ve ever run up a flight of stairs, chased a tennis ball across the court, or reacted in fright at a scary movie, you know what a pounding heart feels like…

But for the 2.3 million Americans who suffer from atrial fibrillation (AF or AFib), a racing heart is a way of life. Simple tasks like getting out of bed in the morning or rising from a chair can cause dizziness, weakness, shortness of breath, or heart palpitations. For these people, AF severely impairs quality of life – and even when symptoms stemming from AF are mild, the disorder can seriously impact health, increasing the risk of stroke and heart failure.

AF can be a debilitating even deadly condition. Fortunately, it can be successfully managed – but there are various approaches for treating AF or preventing a recurrence. How do you and your doctor choose which approach is right for you?

If you or a loved one has AF, there are so many questions: Do I need an anticoagulant… should I be taking medication to control my heart rate… will my symptoms respond to cardioversion… if I need an antiarrhythmic drug to control AF episodes, which one should I take… when is an ablation procedure appropriate… and more.

It’s critically important to learn everything you can now — so you can partner with your doctor effectively, ask the right questions, and understand the answers.

To help you, we asked two eminent experts at Johns Hopkins to share their expertise and hands-on experience with arrhythmia patients in an important new report, Atrial Fibrillation: The Latest Management Strategies.

Dr. Hugh Calkins and Dr. Ronald Berger are ideally positioned to help you understand and manage your AF. Together with their colleagues at Johns Hopkins, they perform approximately 2,000 electrophysiology procedures and 200 pulmonary vein isolation procedures for atrial fibrillation each year.

Hugh Calkins, M.D. is the Nicholas J. Fortuin, M.D. Professor of Cardiology, Professor of Pediatrics, and Director of the Arrhythmia Service, the Electrophysiology Lab, and the Tilt Table Diagnostic Lab at The Johns Hopkins Hospital. He has clinical and research interests in the treatment of cardiac arrhythmias with catheter ablation, the role of device therapy for treating ventricular arrhythmias, the evaluation and management of syncope, and the study of arrhythmogenic right ventricular dysplasia.

Ronald Berger, M.D., Ph.D., a Professor of Medicine and Biomedical Engineering at Johns Hopkins, is Director of the Electrophysiology Fellowship Program at The Johns Hopkins Hospital. He serves on the editorial board for two major journals in the cardiovascular field and has written and coauthored more than 100 articles and book chapters.

Atrial Fibrillation: The Latest Management Strategies is now available to you in a digital PDF download and print version.

“I feel like my heart is going to jump out of my chest…” 

An arrhythmia is an abnormality in the timing or pattern of the heartbeat, causing the heart to beat too rapidly, too slowly, or irregularly. Sounds pretty straightforward, but there’s a lot we don’t know about why the heart rhythm goes awry… or the best way to treat it.

In Atrial Fibrillation: The Latest Management Strategies, we focus on what we DO know. In page after page of this comprehensive report, we address your most serious concerns about living with AF, such as:

  • I don’t have any symptoms. Is my problem definitely AF?
  • Can drinking alcohol trigger or worsen AF?
  • Is every person who has AF at risk for a stroke?
  • If my doctor suspects AF, will I have to wear an implantable or event monitor to be sure?
  • Why does AF often show up later in life?
  • What would you recommend to the older patient – 75 and older – who has AF but no bothersome symptoms?
  • What do you recommend for the person with longstanding persistent AF?
  • Is the AF experienced by an otherwise healthy person different from that of a person with underlying heart disease or other health issues?
  • What are the differences among: paroxysmal AF, persistent AF, and longstanding persistent AF?
  • What is the “pill-in-the-pocket” approach to AF?

Anticoagulation Therapy: What You Should Know

While AF is generally not life threatening, for some patients it can increase the likelihood of blood clots forming in the heart. And if a clot travels to the brain, a stroke will result. Anticoagulation therapy is used to prevent blood clot formation in people with AF…

  • Why is anticoagulation therapy with warfarin (Coumadin) needed for some people with AF?
  • How is the use of warfarin monitored?
  • How does a doctor determine if a patient with AF needs to take warfarin?
  • What’s the CHADS2 score and how is it used?
  • If a patient’s CHADS2 score is 1, how do you decide between aspirin and warfarin, or nothing at all?
  • Why is it so difficult to keep within therapeutic range with warfarin?
  • Can I test my INR (a test measuring how long it takes blood to clot) at home?
  • What happens if my INR is too high?
  • What options are available if a patient cannot take warfarin?
  • What are the benefits of dabigatran, a new blood-thinning alternative to warfarin therapy?

Symptom Control: The Art of Rate and Rhythm Control

For many patients and their doctors, it’s difficult to achieve and maintain heart rhythm. Two key management strategies are used: heart rate and heart rhythm control. In Atrial Fibrillation: The Latest Management Strategies, you’ll read an in-depth discussion of the benefits of rate versus rhythm control for AF:

  • What have we learned from the AFFIRM study, and how has this knowledge affected the management of AF?
  • What is catheter ablation of the AV (atrioventricular) node?
  • Why is cardioversion needed?
  • Are there different types of cardioversion?
  • What is chemical cardioversion? What is electrical cardioversion?
  • Can medication be used to convert the heart back to normal sinus rhythm?
  • Which antiarrhythimic drugs are used to treat AF?
  • How is catheter ablation for AF performed?
  • What is pulmonary vein antrum isolation (PVAI) and how is it performed?
  • Who are the best candidates for PVAI?

There’s more to Atrial Fibrillation: The Latest Management Strategies, much more.

We explain surgical ablation of AF, a procedure performed through small incisions in the chest wall… discuss when it’s appropriate to seek a second opinion… take a close look at strokes and explain the warning signs and differences among ischemic, thrombotic, embolic, and hemorrhagic strokes… and provide an arrhythmia glossary of key AF terms used by electrophysiologists and cardiologists.

Direct to You From Johns Hopkins

Atrial Fibrillation: The Latest Management Strategies is designed to give you unprecedented access to the expertise of the hospital ranked #1 of America’s Best Hospitals for 21 consecutive years 1991-2011 by U.S. News & World Report. You simply won’t find a more knowledgeable and trustworthy source of the medical information you require. A tradition of discovery and medical innovation is the hallmark of Johns Hopkins research. Since its founding in 1889, The Johns Hopkins Hospital has led the way transferring the discoveries made in the laboratory to the administration of effective patient care. No one institution has done more to earn the trust of the men and women diagnosed with AF and other cardiovascular conditions.

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Reporter: Alan F. Kaul, Pharm.D., M.S., M.B.A., FCCP

 

Centers for Medicare and Medicaid (CMS) Targets Hospital Readmissions – Update on Practices and Policy

 

An earlier post on June 8, 2012 in Pharmaceutical Intelligence presented an overview of the Hospital Readmissions Reduction Program (HRRP) and its requirement to reduce payments under the Inpatient Prospective Payment System (IPPS) to hospitals reporting excess readmissions commencing with discharges on October 1, 2012.  As CMS moved forward with HRRP, hospitals readiness for population based accountable care seemed questionable based on a 34 percent survey response or 1,672 hospitals.

http://pharmaceuticalintelligence.com/2012/06/12/centers-for-medicare-and-medicaid-cms-targets-hospital-readmissions-a-disconnect-among-the-hospitals-or-poor-education/

 

According to Medicare Payment Advisory Commission (MedPAC) report, approximately two-thirds of hospitals will be penalized (capped at 1 percent) for above average readmissions commencing October 1, 2012. This penalty will escalate to 2% in 2014 and 3 percent in 2015.  Looking at the hospital readmission measures for Acute Myocardial Infarction (AMI), Heart Failure (HF), and Pneumonia (PN), this penalty will average $125,000 per hospital. Overall, the CMS payment to all hospitals will be reduced by 0.24 percent.  A preliminary analysis indicated little variation by hospital type (i.e., urban, rural, teaching, non-teaching, profit, non-profit).

 

MedPAC pointed out several long-term issues with the readmission reduction program including:

 

  • Computing the penalty multiple – Penalty increases as readmission rate decreases and the penalty multiplier differs for each condition. Solutions could include using a fixed multiplier, using all-condition readmissions, and eliminating the multiplier and setting a lower target readmission rate to maintain budget neutrality
  • Random variation and small number of observations – Solutions could include using all-condition readmissions, using more than the 3 years of data currently used, and allowing hospitals to aggregate performance within a system for penalty purposed while continuing to report individual hospital performance
  • Unrelated and planned readmissions – Solutions could include switching to a-condition measures that have exceptions for planned and unrelated readmissions such as the Yale all condition model or the 3M all-condition model.
  • Socio-economic status and risk-reduction- Possible situations may include allow current incentives to close the gap, comparing hospitals against similar hospitals to compute the penalty, and providing financial assistance to hospitals with a disproportionate share of low-income patients

 

Moving forward in refining the policy several objectives were noted: maintaining or increasing average hospitals’ incentive to reduce readmissions; increasing the share of hospitals with an incentive to reduce readmissions; making any penalty a consistent multiple of the cost of readmissions; being at least budget neutral to current policy, with a preference for lower readmission rates rather than higher penalties. Any policy refinements will require a change in law and must proceed carefully.

http://www.medpac.gov/transcripts/readmissions Sept 12 presentation.pdf

 

On October 3, 2012, CMS issues a notice indicating that errors were discovered in its initial calculation for readmissions penalties under the Inpatient Prospective Payment Systems (IPPS) that went into effect the beginning of October. The revisions were in part to implement capital and operating related costs to acute care hospitals arising from CMS’s continued experience with the systems. Also updated were payment policies and rate of increase limits for certain hospitals excluded from IPPS and paid under Medicare’s Prospective Payment System such as Long Term Acute Care Hospitals (LTACHs).

 

Based on a Kaiser analysis of the miscalculation, 1,422 hospitals will lose more and 55 hospitals will lose less than originally projected. The changes were tiny averaging 0.002 percent of a hospital’s regular Medicare reimbursement. A total of 2,217 hospitals are being punished in the first year of the program which began on October 1, 2012. Of those punished, 307 (14%) will be penalized the maximum 1% of their regular Medicare reimbursement.

 

http://cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/FY-2013-IPPS-Final-Rule-Home-Page-Items/CMS-1588-F-Text-Version.html

http://www.kaiserhealthnews.org/Stories/2012/October/03/medicare-revises-hospitals-readmissions-penalties.aspx

 

As reported in the Napa Valley Register on October 14, 2012, variations in local practices patterns are already being noticed. For example in Napa Valley, Queen of Valley Medical Center has a 18 percent readmission rate, St. Helena Hospital a 13 percent readmission rate, and Kaiser Permanente Vallejo Medical Center a 7 percent readmission rate. Local hospital officials are claiming that reduced readmissions incorrectly assumes better care and that not making exceptions for unavoidable readmissions are policy flaws.  While officials at Kaiser Permanente of Northern California indicated that they had no concerns about the policy change because “it promotes co-ordianation of care, individuals at Queen of Valley Medical Center and St Helena’s Hospital expressed a variety of concerns from the fragile natur of patients in certain of the included diagnoses and the 30-day time fram to evaluate readmissions.  Moving forward to lower readmission rates at Queen and St. Helena indicated that they will pay more attention as patients are discharged from the hospitals during transitions of care, Professionals will coach patients in self-management through home visits and phone-calls after they have been discharged from the hospital.

 

http://napavalleyregister.com/news/local/local-hospitals-challenged-to-cut-medicare-readmissions/article_1827ecfc-159c-11e2-8ad2-001a4bcf887a.html?comment_form=true

 

 

 

 

 

 

 

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Reporter: Aviva Lev-Ari, PhD, RN

Dysthymia: Often Chronic, Always Serious

Johns Hopkins Health Alert

Dysthymia is a chronic form of depression that is characterized by the presence of a depressed mood for most of the day, for more days than not, over a period of at least two years. Dysthymia may be intermittent and interspersed with periods of feeling normal, but these periods of improvement last for no more than two months.

Dysthymia often goes unnoticed. And because of its chronic nature, the person may come to believe, “I’ve always been this way.” In addition to depressed mood, symptoms of dysthymia include two or more of the following:

It is far better to treat dysthymia than to think of it as a minor condition. Bypassing treatment places people at increased risk for subsequently developing major depression. In fact, about 10 percent of people with dysthymia also have recurrent episodes of major depression, a condition known as double depression.

What causes of dysthymia?  Some medical conditions, including neurological disorders (such as multiple sclerosis and stroke), hypothyroidism, fibromyalgia and chronic fatigue syndrome, are associated with dysthymia. Investigators believe that, in these cases, developing dysthymia is not a psychological reaction to being ill but rather is a biological effect of these disorders.

There are many reasons for this connection. It may be that these medical conditions interfere with the action of neurotransmitters, or that medications (such as corticosteroids or beta-blockers) taken for a medical illness may trigger the dysthymia or that both dysthymia and the medical illness are related in some other way, reinforcing each other in a complicated manner.

Dysthymia can also follow severe psychological stress, such as losing a spouse or caring for a chronically ill loved one. Older people who have never had psychiatric disorders are particularly susceptible to developing dysthymia after significant life stresses.

Posted in Depression and Anxiety on October 16, 2012


Medical Disclaimer: This information is not intended to substitute for the advice of a physician. Click here for additional information: Johns Hopkins Health Alerts Disclaimer


 

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