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Archive for the ‘Immunology’ Category


2018 Nobel Prize in Physiology or Medicine for contributions to Cancer Immunotherapy to James P. Allison, Ph.D., of the University of Texas, M.D. Anderson Cancer Center, Houston, Texas. Dr. Allison shares the prize with Tasuku Honjo, M.D., Ph.D., of Kyoto University Institute, Japan

Reporter: Aviva Lev-Ari, PhD, RN

 

See

Immune System Stimulants: Articles of Note @pharmaceuticalintelligence.com

Curators: Larry H. Bernstein, MD, FCAP and Aviva Lev-Ari, PhD, RN

https://pharmaceuticalintelligence.com/2016/05/01/immune-system-stimulants-articles-of-note-pharmaceuticalintelligence-com/

 

Immune-Oncology Molecules In Development & Articles on Topic in @pharmaceuticalintelligence.com

Curators: Stephen J Williams, PhD and Aviva Lev-Ari, PhD, RN

https://pharmaceuticalintelligence.com/2016/01/11/articles-on-immune-oncology-molecules-in-development-pharmaceuticalintelligence-com/

 

 

Monday, October 1, 2018

NIH grantees win 2018 Nobel Prize in Physiology or Medicine.

The 2018 Nobel Prize in Physiology or Medicine has been awarded to National Institutes of Health grantee James P. Allison, Ph.D., of the University of Texas, M.D. Anderson Cancer Center, Houston, Texas. Dr. Allison shares the prize with Tasuku Honjo, M.D., Ph.D., of Kyoto University Institute, Japan, for their discovery of cancer therapy by inhibition of negative immune regulation.

The Royal Swedish Academy of Sciences said, “by stimulating the inherent ability of our immune system to attack tumor cells this year’s Nobel Laureates have established an entirely new principle for cancer therapy.”

Dr. Allison discovered that a particular protein (CTLA-4) acts as a braking system, preventing full activation of the immune system when a cancer is emerging. By delivering an antibody that blocks that protein, Allison showed the brakes could be released. The discovery has led to important developments in cancer drugs called checkpoint inhibitors and dramatic responses to previously untreatable cancers. Dr. Honjo discovered a protein on immune cells and revealed that it also operates as a brake, but with a different mechanism of action.

“Jim’s work was pivotal for cancer therapy by enlisting our own immune systems to launch an attack on cancer and arrest its development,” said NIH Director Francis S. Collins, M.D., Ph.D. “NIH is proud to have supported this groundbreaking research.”

Dr. Allison has received continuous funding from NIH since 1979, receiving more than $13.7 million primarily from NIH’s National Cancer Institute (NCI) and National Institute of Allergy and Infectious Diseases (NIAID).

“This work has led to remarkably effective, sometime curative, therapy for patients with advanced cancer, who we were previously unable to help,” said NCI Director Ned Sharpless, M.D. “Their findings have ushered in the era of cancer immunotherapy, which along with surgery, radiation and cytotoxic chemotherapy, represents a ‘fourth modality’ for treating cancer. A further understanding of the biology underlying the immune system and cancer has the potential to help many more patients.”

“Dr. Allison’s elegant and groundbreaking work in basic immunology over four decades and its important applicability to cancer is a vivid demonstration of the critical nature of interdisciplinary biomedical research supported by NIH,” says NIAID Director Anthony S. Fauci, M.D.

About the National Institutes of Health (NIH): NIH, the nation’s medical research agency, includes 27 Institutes and Centers and is a component of the U.S. Department of Health and Human Services. NIH is the primary federal agency conducting and supporting basic, clinical, and translational medical research, and is investigating the causes, treatments, and cures for both common and rare diseases. For more information about NIH and its programs, visit www.nih.gov.

SOURCE

https://www.nih.gov/news-events/news-releases/nih-grantees-win-2018-nobel-prize-physiology-or-medicine

 

Dr. Lev-Ari covered in person the following curated articles about James Allison, PhD since his days at University of California, Berkeley, including the prizes awarded prior to the 2018 Nobel Prize in Physiology.

 

2018 Albany Medical Center Prize in Medicine and Biomedical Research goes to NIH’s Dr. Rosenberg and fellow immunotherapy researchers James P. Allison, Ph.D., and Carl H. June, M.D.

Reporter: Aviva Lev-Ari, PhD, RN

https://pharmaceuticalintelligence.com/2018/08/15/2018-albany-medical-center-prize-in-medicine-and-biomedical-research-goes-to-nihs-dr-rosenberg-and-fellow-immunotherapy-researchers-james-p-allison-ph-d-and-carl-h-june-m-d/

 

Lectures by The 2017 Award Recipients of Warren Alpert Foundation Prize in Cancer Immunology, October 5, 2017, HMS, 77 Louis Paster, Boston

REAL TIME Reporter: Aviva Lev-Ari, PhD, RN

https://pharmaceuticalintelligence.com/2017/09/08/lectures-by-the-2017-award-recipients-of-warren-alpert-foundation-prize-in-cancer-immunology-october-5-2017-hms-77-louis-paster-boston/

 

Cancer-free after immunotherapy treatment: Treating advanced colon cancer – targeting KRAS gene mutation by tumor-infiltrating lymphocytes (TILs) and Killer T-cells (NK)

Reporter: Aviva Lev-Ari, PhD, RN

https://pharmaceuticalintelligence.com/2016/12/08/cancer-free-after-immunotherapy-treatment-treating-advanced-colon-cancer-targeting-kras-gene-mutation-by-tumor-infiltrating-lymphocytes-tils-and-killer-t-cells-nk/

 

New Class of Immune System Stimulants: Cyclic Di-Nucleotides (CDN): Shrink Tumors and bolster Vaccines, re-arm the Immune System’s Natural Killer Cells, which attack Cancer Cells and Virus-infected Cells

Reporter: Aviva Lev-Ari, PhD, RN

https://pharmaceuticalintelligence.com/2016/04/24/new-class-of-immune-system-stimulants-cyclic-di-nucleotides-cdn-shrink-tumors-and-bolster-vaccines-re-arm-the-immune-systems-natural-killer-cells-which-attack-cancer-cells-and-virus-inf/

 

UC Berkeley research led to Nobel Prize-winning immunotherapy

Immunologist James P. Allison today shared the 2018 Nobel Prize in Physiology or Medicine for groundbreaking work he conducted on cancer immunotherapy at UC Berkeley during his 20 years as director of the campus’s Cancer Research Laboratory.

James Allison

James Allison, who for 20 years was a UC Berkeley immunologist conducting fundamental research on cancer, is now at the M.D. Anderson Cancer Center in Houston, Texas.

Now at the University of Texas M.D. Anderson Cancer Center in Houston, Allison shared the award with Tasuku Honjo of Kyoto University in Japan “for their discovery of cancer therapy by inhibition of negative immune regulation.”

Allison, 70, conducted basic research on how the immune system – in particular, a cell called a T cell – fights infection. His discoveries led to a fundamentally new strategy for treating malignancies that unleashes the immune system to kill cancer cells. A monoclonal antibody therapy he pioneered was approved by the Food and Drug Administration in 2011 to treat malignant melanoma, and spawned several related therapies now being used against lung, prostate and other cancers.

“Because this approach targets immune cells rather than specific tumors, it holds great promise to thwart diverse cancers,” the Lasker Foundation wrote when it awarded Allison its 2015 Lasker-DeBakey Clinical Medical Research Award.

Allison’s work has already benefited thousands of people with advanced melanoma, a disease that used to be invariably fatal within a year or so of diagnosis. The therapy he conceived has resulted in elimination of cancer in a significant fraction of patients for a decade and counting, and it appears likely that many of these people are cured.

“Targeted therapies don’t cure cancer, but immunotherapy is curative, which is why many consider it the biggest advance in a generation,” Allison said in a 2015 interview. “Clearly, immunotherapy now has taken its place along with surgery, chemotherapy and radiation as a reliable and objective way to treat cancer.”

“We are thrilled to see Jim’s work recognized by the Nobel Committee,” said Russell Vance, the current director of the Cancer Research Laboratory and a UC Berkeley professor of molecular and cell biology. “We congratulate him on this highly deserved honor. This award is a testament to the incredible impact that the fundamental research Jim conducted at Berkeley has had on the lives of cancer patients”

“I don’t know if I could have accomplished this work anywhere else than Berkeley,” Allison said. “There were a lot of smart people to work with, and it felt like we could do almost anything. I always tell people that it was one of the happiest times of my life, with the academic environment, the enthusiasm, the students, the faculty.”

In this video about UC Berkeley’s new Immunotherapeutics and Vaccine Research Initiative (IVRI), Allison discusses his groundbreaking work on cancer immunotherapy.

In fact, Allison was instrumental in creating the research environment of the current Department of Molecular and Cell Biology at UC Berkeley as well as the department’s division of immunology, in which he served stints as chair and division head during his time at Berkeley, said David Raulet, director of Berkeley’s Immunotherapeutics and Vaccine Research Initiative (IVRI).

“His actions helped create the superb research environment here, which is so conducive to making the fundamental discoveries that will be the basis of the next generation of medical breakthroughs,” Raulet said.

Self vs. non-self

Allison joined the UC Berkeley faculty as a professor of molecular and cell biology and director of the Cancer Research Laboratory in 1985. An immunologist with a Ph.D. from the University of Texas, Austin, he focused on a type of immune system cell called the T cell or T lymphocyte, which plays a key role in fighting off bacterial and viral infections as well as cancer.

Supercharging the immune system to cure disease: immunotherapy research at UC Berkeley. (UC Berkeley video by Roxanne Makasdjian and Stephen McNally)

At the time, most doctors and scientists believed that the immune system could not be exploited to fight cancer, because cancer cells look too much like the body’s own cells, and any attack against cancer cells would risk killing normal cells and creating serious side effects.

“The community of cancer biologists was not convinced that you could even use the immune system to alter cancer’s outcome, because cancer was too much like self,” said Matthew “Max” Krummel, who was a graduate student and postdoctoral fellow with Allison in the 1990s and is now a professor of pathology and a member of the joint immunology group at UCSF. “The dogma at the time was, ‘Don’t even bother.’ ”

“What was heady about the moment was that we didn’t really listen to the dogma, we just did it,” Krummel added. Allison, in particular, was a bit “irreverent, but in a productive way. He didn’t suffer fools easily.” This attitude rubbed off on the team.

Trying everything they could in mice to tweak the immune system, Krummel and Allison soon found that a protein receptor called CTLA-4 seemed to be holding T cells back, like a brake in a car.

Postdoctoral fellow Dana Leach then stepped in to see if blocking the receptor would unleash the immune system to actually attack a cancerous tumor. In a landmark paper published in Science in 1996, Allison, Leach and Krummel showed not only that antibodies against CTLA-4 released the brake and allowed the immune system to attack the tumors, but that the technique was effective enough to result in long-term disappearance of the tumors.

“When Dana showed me the results, I was really surprised,” Allison said. “It wasn’t that the anti-CTLA-4 antibodies slowed the tumors down. The tumors went away.”

After Allison himself replicated the experiment, “that’s when I said, OK, we’ve got something here.”

Checkpoint blockade

The discovery led to a concept called “checkpoint blockade.” This holds that the immune system has many checkpoints designed to prevent it from attacking the body’s own cells, which can lead to autoimmune disease. As a result, while attempts to rev up the immune system are like stepping on the gas, they won’t be effective unless you also release the brakes.

Allison in 1993

James Allison in 1993, when he was conducting research at UC Berkeley on a promising immunotherapy now reaching fruition. (Jane Scherr photo)

“The temporary activation of the immune system though ‘checkpoint blockade’ provides a window of opportunity during which the immune system is mobilized to attack and eliminate tumors,” Vance said.

Allison spent the next few years amassing data in mice to show that anti-CTLA-4 antibodies work, and then, in collaboration with a biotech firm called Medarex, developed human antibodies that showed promise in early clinical trials against melanoma and other cancers. The therapy was acquired by Bristol-Myers Squibb in 2011 and approved by the FDA as ipilimumab (trade name Yervoy), which is now used to treat skin cancers that have metastasized or that cannot be removed surgically.

Meanwhile, Allison left UC Berkeley in 2004 for Memorial Sloan Kettering research center in New York to be closer to the drug companies shepherding his therapy through clinical trials, and to explore in more detail how checkpoint blockade works.

“Berkeley was my favorite place, and if I could have stayed there, I would have,” he said. “But my research got to the point where all the animal work showed that checkpoint blockade had a lot of potential in people, and working with patients at Berkeley wasn’t possible. There’s no hospital, no patients.”

Thanks to Allison’s doggedness, anti-CTLA-4 therapy is now an accepted therapy for cancer and it opened the floodgates for a slew of new immunotherapies, Krummel said. There now are several hundred ongoing clinical trials involving monoclonal antibodies to one or more receptors that inhibit T cell activity, sometimes combined with lower doses of standard chemotherapy.

Antibodies against one such receptor, PD-1, which Honjo discovered in 1992, have given especially impressive results. Allison’s initial findings can be credited for prompting researchers, including Allison himself, to carry out the studies that have demonstrated the potent anti-cancer effects of PD-1 antibodies. In 2015, the FDA approved anti-PD-1 therapy for malignant melanoma, and has since approved it for non-small-cell lung, gastric and several other cancers.

Science magazine named cancer immunotherapy its breakthrough of 2013 because that year, “clinical trials … cemented its potential in patients and swayed even the skeptics. The field hums with stories of lives extended: the woman with a grapefruit-size tumor in her lung from melanoma, alive and healthy 13 years later; the 6-year-old near death from leukemia, now in third grade and in remission; the man with metastatic kidney cancer whose disease continued fading away even after treatment stopped.”

Allison pursued more clinical trials for immunotherapy at Sloan-Kettering and then in 2012 returned to his native Texas.

Born in Alice, Texas, on Aug. 7, 1948, Allison earned a B.S. in microbiology in 1969 and a Ph.D. in biological science in 1973 from the University of Texas, Austin.

RELATED INFORMATION

SOURCE

http://news.berkeley.edu/2018/10/01/uc-berkeley-research-led-to-nobel-prize-winning-immunotherapy/

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Reporter and Curator: Dr. Sudipta Saha, Ph.D.

 

The CRISPR-Cas9 system has proven to be a powerful tool for genome editing allowing for the precise modification of specific DNA sequences within a cell. Many efforts are currently underway to use the CRISPR-Cas9 system for the therapeutic correction of human genetic diseases. CRISPR/Cas9 has revolutionized our ability to engineer genomes and conduct genome-wide screens in human cells.

 

CRISPR–Cas9 induces a p53-mediated DNA damage response and cell cycle arrest in immortalized human retinal pigment epithelial cells, leading to a selection against cells with a functional p53 pathway. Inhibition of p53 prevents the damage response and increases the rate of homologous recombination from a donor template. These results suggest that p53 inhibition may improve the efficiency of genome editing of untransformed cells and that p53 function should be monitored when developing cell-based therapies utilizing CRISPR–Cas9.

 

Whereas some cell types are amenable to genome engineering, genomes of human pluripotent stem cells (hPSCs) have been difficult to engineer, with reduced efficiencies relative to tumour cell lines or mouse embryonic stem cells. Using hPSC lines with stable integration of Cas9 or transient delivery of Cas9-ribonucleoproteins (RNPs), an average insertion or deletion (indel) efficiency greater than 80% was achieved. This high efficiency of insertion or deletion generation revealed that double-strand breaks (DSBs) induced by Cas9 are toxic and kill most hPSCs.

 

The toxic response to DSBs was P53/TP53-dependent, such that the efficiency of precise genome engineering in hPSCs with a wild-type P53 gene was severely reduced. These results indicate that Cas9 toxicity creates an obstacle to the high-throughput use of CRISPR/Cas9 for genome engineering and screening in hPSCs. As hPSCs can acquire P53 mutations, cell replacement therapies using CRISPR/Cas9-enginereed hPSCs should proceed with caution, and such engineered hPSCs should be monitored for P53 function.

 

CRISPR-based editing of T cells to treat cancer, as scientists at the University of Pennsylvania are studying in a clinical trial, should also not have a p53 problem. Nor should any therapy developed with CRISPR base editing, which does not make the double-stranded breaks that trigger p53. But, there are pre-existing humoral and cell-mediated adaptive immune responses to Cas9 in humans, a factor which must be taken into account as the CRISPR-Cas9 system moves forward into clinical trials.

 

References:

 

https://techonomy.com/2018/06/new-cancer-concerns-shake-crispr-prognosis/

 

https://www.statnews.com/2018/06/11/crispr-hurdle-edited-cells-might-cause-cancer/

 

https://www.biorxiv.org/content/early/2017/07/26/168443

 

https://www.nature.com/articles/s41591-018-0049-z.epdf?referrer_access_token=s92jDP_yPBmDmi-USafzK9RgN0jAjWel9jnR3ZoTv0MRjuB3dEnTctGtoy16n3DDbmISsvbln9SCISHVDd73tdQRNS7LB8qBlX1vpbLE0nK_CwKThDGcf344KR6RAm9k3wZiwyu-Kb1f2Dl7pArs5yYSiSLSdgeH7gst7lOBEh9qIc6kDpsytWLHqX_tyggu&tracking_referrer=www.statnews.com

 

https://www.nature.com/articles/s41591-018-0050-6.epdf?referrer_access_token=2KJ0L-tmvjtQdzqlkVXWVNRgN0jAjWel9jnR3ZoTv0Phq6GCpDlJx7lIwhCzBRjHJv0mv4zO0wzJJCeuxJjzoUWLeemH8T4I3i61ftUBkYkETi6qnweELRYMj4v0kLk7naHF-ujuz4WUf75mXsIRJ3HH0kQGq1TNYg7tk3kamoelcgGp4M7UTiTmG8j0oog_&tracking_referrer=www.statnews.com

 

https://www.biorxiv.org/content/early/2018/01/05/243345

 

https://www.nature.com/articles/nmeth.4293.epdf

 

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Reporter and Curator: Dr. Sudipta Saha, Ph.D.

 

Hepatitis B virus can cause serious, long-term health problems, such as liver disease and cancer, and can spread from mother-to-child during delivery. According to the latest estimates from the World Health Organization (WHO), approximately 257 million people in 2015 were living with the virus. Countries in Asia have a high burden of hepatitis B. There is no cure, and antiviral drugs used to treat the infection usually need to be taken for life.

 

To prevent infection, WHO recommends that all newborns receive their first dose of hepatitis B vaccine within 24 hours of delivery. Infants born to hepatitis B-infected mothers are also given protective antibodies called hepatitis B immune globulin (HBIG). However, mother-to-child transmission can still occur in women with high levels of virus in their blood, as well as those with mutated versions of the virus.

 

Tenofovir disoproxil fumarate (TDF), an antiviral drug commonly prescribed to treat hepatitis B infection, does not significantly reduce mother-to-child transmission of hepatitis B virus when taken during pregnancy and after delivery, according to a phase III clinical trial in Thailand funded by the National Institutes of Health. The study tested TDF therapy in addition to the standard preventative regimen — administration of hepatitis B vaccine and protective antibodies at birth — to explore the drug’s potential effects on mother-to-child transmission rates. The results appear in the New England Journal of Medicine.

 

The present study was conducted at 17 hospitals of the Ministry of Public Health in Thailand. It screened more than 2,500 women for eligibility and enrolled 331 pregnant women with hepatitis B. The women received placebo (163) or TDF (168) at intervals from 28 weeks of pregnancy to two months after delivery. All infants received standard hepatitis B preventatives given in Thailand, which include HBIG at birth and five doses of the hepatitis B vaccine by age 6 months (which differs from the three doses given in the United States). A total of 294 infants (147 in each group) were followed through age 6 months.

 

Three infants in the placebo group had hepatitis B infection at age 6 months, compared to zero infants in the TDF treatment group. Given the unexpectedly low transmission rate in the placebo group, the researchers concluded that the addition of TDF to current recommendations did not significantly reduce mother-to-child transmission of the virus.

 

According to the study, the clinical trial had enough participants to detect statistical differences if the transmission rate in the placebo group reached at least 12 percent, a rate observed in previous studies. Though the reasons are unknown, the researchers speculate that the lower transmission rate seen in the study may relate to the number of doses of hepatitis B vaccine given to infants in Thailand, lower rates of amniocentesis and Cesarean section deliveries in this study, or the lower prevalence of mutated viruses that result in higher vaccine efficacy in Thailand compared to other countries.

 

References:

 

https://www.nih.gov/news-events/news-releases/antiviral-drug-not-beneficial-reducing-mother-child-transmission-hepatitis-b-when-added-existing-preventatives

 

https://www.ncbi.nlm.nih.gov/pubmed/29514030

 

https://www.ncbi.nlm.nih.gov/pubmed/29514035

 

https://www.ncbi.nlm.nih.gov/pubmed/25240752

 

https://www.ncbi.nlm.nih.gov/pubmed/28188612

 

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NEW Book #InfectiousDiseases #Immunology #StressSignaling #Therapeutics check https://www.amazon.com/dp/B075CXHY1B

Editor-in-Chief: Aviva Lev-Ari, PhD, RN

 

 

Includes FDA Approved Drugs for Infections and Infectious Diseases: Bacterial Infection, Viral Infection, Fungal Infection, Allergy-related Infections and Other, 1995 – 2016

VOLUME 2: covers the frontier of research on Infectious Diseases and the Human Immune System. The Immune Response, Disease Specific Immune Response, Immunodiagnostics and Immunotherapy, Immunotherapy and Autoimmunity,
Bacterial Infections, Bacteria Types, Antibactirial Therapeutics, FDA Approved Drugs for Infections and Infectious Diseases: Bacterial Infection, 1995 – 2016. Viral Infection: Virus Types, Antiviral Therapeutics, and FDA Approved Drugs for Infections and Infectious Diseases: Viral Infection, Fungal Infections, Allergy-related Infections, Other Infections,1995 – 2016,

VOLUME 3: covers the state of Science on the Historical Perspective of Immunology, Development of the Immune System, Signaling and Immunology, Cellular Immunity, Immunology and Inflammatory Response. Antibody-based Immunity, Vaccines and Microbiome, Immuno-Pharmaceutics, Cancer Immunotherapy, Immunomodulation and Neuro-Immunology.

Volume 2: Summary
The material that has been covered is a considerable material on the basic types of infections – bacterial, viral, and fungal, and diseases related to immune mechanisms. There has been a substantial coverage of the drugs and the manufacturers. This material brings to the discussion an international problem of drug resistance that applies much to bacteria, and a considerable amount of material on advances in drug development that takes into consideration protein structure and protein-protein interactions. The coverage of virus diseases brings to the forefront vaccines. However, in such cases as the influenza virus, a rapid genetic change of the virus makes the use of vaccines an issue for continuing revision.

Volume 3: Summary
The second volume is only concerned with the pathobiology of the inflammatory response, including sepsis, and it does not leave out hematopoiesis, and it lays out the difference between the B-clles and the T-cells that are related to the Toll receptor. Here we have looked closely at two immune disorders, Inflammatory Bowel Disease (Crohn’s Disease) and Rheumatoid Arthritis. Here we have discussed immunomodulation and signaling of the pathways involved, and the programmed cell death response. We have also covered the relationship of the immune response to autoimmune disorders and to cancer. The treatment of cancer now heavily leans toward the blocking of destructive processes in the immunomodulatory pathways.

Epilogue – Volume 2
Volume 2 has covered the most common bacterial and viral diseases that we find widely, or sporadically. It detailed the development of sepsis, and the immune response factor. The immune response involves local cellular invasion of lymphocytes related to initiation of T-cells and macrophages, and also the proteomic generated B-cell antibodies. These reactions are both local and systemic, as bacterial invasion is local and usually related to the tissue of residence (large intestine, oral, lung, genital). In the case of virus, the site of entry is often respiratory or by food intake, but these agents may rapidly become systemic. The other matter of the immune response is autoimmune, a reaction against the self. It is not entirely clear how this is initiated, but it has been related to failure to develop immunity in the prenatal or postnatal period. The only other possibility that might be considered would be by the mechanism of cell remodeling by an apoptotic related mechanism. The other chapters deal with therapeutics.

Epilogue – Volume 3
These two volumes have traversed a large knowledge-base. The first was directed largely at the well known bacterial, virus, fungal diseases, as well as autoimmunity. It specified recent FDA approved recommendations of pharmaceutics for these conditions. It also gives some attention to the immune response in inflammatory and autoimmune diseases, but not cancer. The second volume gives a concise history of development of Leukemias, Lymphomas pathology.

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Image Source:Koch Institute

LIVE – OCTOBER 17 – DAY 2- Koch Institute Immune Engineering Symposium 2017, MIT, Kresge Auditorium

Koch Institute Immune Engineering Symposium 2017

http://kochinstituteevents.cvent.com/events/koch-institute-immune-engineering-symposium-2017/agenda-64e5d3f55b964ff2a0643bd320b8e60d.aspx

Image Source: Leaders in Pharmaceutical Business Intelligence (LPBI) Group

Aviva Lev-Ari, PhD, RN will be in attendance covering the event in REAL TIME

@pharma_BI

@AVIVA1950

#IESYMPOSIUM

@KOCHINSTITUTE

  • The Immune System, Stress Signaling, Infectious Diseases and Therapeutic Implications: VOLUME 2: Infectious Diseases and Therapeutics and VOLUME 3: The Immune System and Therapeutics (Series D: BioMedicine & Immunology) Kindle Edition – on Amazon.com since September 4, 2017

https://www.amazon.com/dp/B075CXHY1B

SYMPOSIUM SCHEDULE

OCTOBER 17 – DAY 2

8:30 – 9:45 Session V
Moderator: Stefani Spranger | MIT, Koch Institute

K. Christopher Garcia – Stanford University
Exploiting T Cell and Cytokine Receptor Structure and Mechanism to Develop New Immunotherapeutic Strategies

  • T Cell Receptor, peptide-MHC, 10 to the power of 10 is combinatorics – Library for selection to determine enrichment possibilities
  • Ligand identification for orphan TCRs
  1. Industrializing process
  2. use pMHC
  • IL-2 – Receptor Signaling Complex
  • Effector cells (NK, T)
  • Engineered  T Cell – Tunable expansion, ligand-Receptor interface
  • Randomize IL-2RBeta interface: Orthogonal receptor vs wild type
  • In Vivo adoptive transfer model: to quantify orthogonality ratio
  • CD4, CD8, Treg,C57BL/6J
  • Ligand discovery
  • Orthogonal IL-2

Stefani Spranger – MIT, Koch Institute
Batf3-DC as Mediators of the T Cell-Inflamed Tumor Microenvironment

  • Melanoma – solid cancer and other types, Immune inhibitory regulatory pathway patient with Immune response present
  • T cell-inflamed Tumor vs Non-T cell-inflamed Tumor
  • identify oncogenic pathways differentially activated between T cell-inflamed and non-Tcell-inflamed infiltration
  • If on Tumor:
  1. Braf/PTEN
  2. Braf/CAT
  3. Braf/PTEN/CAT
  • The role of T cell priming – lack of initial
  • Beta-catenin-expressing tumors fail to prime 2C TCR-transgenic T cells
  • Deficiency in number of CD8+ and CD103+ dendritic cells
  • CD103+ DC are essential for T cell Priming and T cell-inflammation #StefaniSpranger
  • Adoptive transfer of effector 2C T cells fails to control Beta-catenin+ tumors
  • Vaccination induced anti-gen specific T cell memory fails to control Beta-catenin+ tumors
  • What cell type in tumor microenvironment effect monilization of T cell
  • CD103+ Dendritic cellsare source chymokine
  • Recruitment of effector T cells: Reconstitution od Beta-catenin-expressing SIY+
  • Are Batf3-DC within the tumor required for the recruitment of effector T cells?
  • Tumor-residing Batf3-drive CD103+ DC are required for the recruitment of effector T cells
  • Gene spore for correlation with recturment of effector cells
  • T cell Priming – CD103+ DC are essential for effector T cells

George Georgiou – University of Texas at Austin
The Human Circulating Antibody Repertoire in Infection, Vaccination or Cancer

  • Serological Antibody Repertoire: in blood or in secretions
  • Antibody in serum – is difficult sequence identity
  • Serum IgG – 7-17 mg/ml if less immune deficient if more hyper globular
  • antibodies produced in long lived plasma cells in the bone marrow — experimentally inaccessible
  • Discovery of antibodies from the serological repertoire – not B cells
  • BM-PCs
  • Serum antibodies function via Fc effector mechanism – complement activation
  • Ig-SEQ – BCR-SEQ
  • Repertoire-wide computational modelling of antibody structures
  • En masse analysis & Mining of the Human Native Antibody Repertoire
  • hypervariable – High-Throughput Single B Cell VH:VL (or TCRalpha, beta) sequencing
  • EBOV Vaccinee Peak ASCs (day 8) mining: Neutralization
  • Features of the Serum Antibody Repertoire to Vaccine ANtigens:The Serum IgG Repertoire is Highly Polarized
  • Each bar represents a distinct antibody lineage
  • Serum IgG Repertoire becomes increasingly polarized with AGE >50 – may be predictive of tumor development process
  • Human Norovirus – explosive Diarreha, chromically infected – HuNoV BNAb Discovery – Takeda 214 bivalent Vaccine – Binding antibodies binding to avccine antigen VLP
  • HuNoV causes 800 death in the US per year of immune deficient
  • Influenza Trivalent Vaccine: Antibodies to hemaggiutinin: H1, H3, and B COmponenet
  • Abundant H1 +H3 Serum IgGs do not neutralize but confer Protection toInfluenza challenge with Live Virus #GeorgeGeorgiou
  • Non-Neutralizing Antibodies: The role of Complement in Protection

9:45 – 10:15 Break

10:15 – 11:30 Session VI
Moderator: K. Dane Wittrup | MIT, Koch Institute

Harvey Lodish – Whitehead Institute and Koch Institute
Engineered Erythrocytes Covalently Linked to Antigenic Peptides Can Protect Against Autoimmune Disease

  • Modified Red blood cells are microparticles for introducing therapeutics & diagnostics into the human body
  • Bool transfusion is widely used therapeutics
  • Covalently linking unique functional modalities to mouse or human red cells produced in cell culture:
  • PRODUCTION OF HUMAN RED BLOD CELLS EXPRESSING A FOREIN PROTEIN: CD34+ stem/progenitor cells that generates normal enucleated RBC.
  • PPAR-alpha and glucocorticoticoid receptor
  • Norman morphology: Sortase A is a bactrial transpeptidase that covalently links a “donor”
  • Engineering Normal Human RBC biotin-LPETG
  • Covelantely – Glycophorin A with camelid VHHs specific for Botulinum toxin A or B
  • Generation of immuno tolerance: SOruggable Mature RBCs: CRISPR mice expressing Kell-LPETG
  • Ovalbumin as Model Antigens:
  1. OBI B,
  2. OTI CD8 T cells
  3. OTII CD4 T cells
  4. OT-1
  5. OT-2
  • RBC induced peptides challenged and experiences apoptosis
  • Type I Diabetes in NOD mice
  • RBCs bearing InsB9-23 – prevented development of diabetes

Multiple sclerosis

  • MOG – Myelin Oligodend

Sai Reddy – ETH Zurich
Molecular Convergence Patterns in Antibody Responses Predict Antigen Exposure

  • Clonal diversity – estimating the size of antibody repertoire: 10 to power of 18 or 10 to 13
  • Clonal selection in antibody repertoire
  • Convergent selection in antibody repertoire
  • Convergent selection in TCR repertoire complex have restriction with MCH interactions
  • How molecular abundance of convergence predicts antigen exposure identify antigen-associated clusters #SaiReddy
  • molecular convergence 0 gene expression analysis, immunization scheme molecular bar coding to correct errors
  • Recoding antibody repertoire sequence space: Cross correlation reveals different clusters
  • Building a classifier model based on cluster frequency: Clones from immunized mice
  • epitope specificity is driving antibody repertoire response
  • deep learning,

K. Dane Wittrup – MIT, Koch Institute
Temporal Programming of Synergistic Innate and Adaptive Immunotherapy

  • Innate effector functions of anti-tumor antibodies
  • Innate & adaptive Immunotherapy
  • Innate mAb –>> tumor cell; adaptive CD8+ T cells
  • Chemokines Antigens
  • Cytokines Chemokines – back and forth innate Adaptive –> <— neutrophils impact
  • AIPV vaccine:
  • How anti-TAA mAbs helping T cell Immune response
  • Anti-TAA mAbs drive vaccinal T cell responses: NK cells
  • antibody drives T cells responses: alpha-TAA mAbs potentiate T cell therapies: ACT +MSA-IL-2 vs alphaPD-1 + vaccine
  • CD8+ T cells required for alpha TAA mAb efficacy- In absence of T cells Treatment does not work
  • Anti-TAA mAb +Fc/IL-2 induces intramural cytokine storm #KDaneWittrup
  • How to simplify and improve AIPV? Hypothesis: ALign dose schedule
  • Immune response to infection follwos a temporal progression: Innate … Adaptive
  • Antigenic material kill cells: Chemo, cell death Antigen presentation, T cell priming, T cell recirculation, Lymphocyte tumor infiltrate, TCR
  • IFN alpha 2 dys after mAb +Il-2: Curative: days post tumor injection
  • Necessary components: CD8+ T cells & DC, Macrophages,
  • Optimal IFNalpha coincides with max innate response vs Mature DCs after antigen loading #KDaneWittrup
  • Optimal timing od agent administration effect on Therapy Outcome: IL-2, IFNalpha, TAAmAb
  • Cytkine timing can be better than protein engineering #KDaneWittrup

11:30 – 1:00 Lunch Break

1:00 – 2:15 Session VII
Moderator: Michael Birnbaum | MIT, Koch Institute

Kai Wucherpfennig – Dana-Farber Cancer Institute
Discovery of Novel Targets for Cancer Immunotherapy

  • POSITIVE STRESS SIGNAL during malignant Transformation
  • NKG2G=D Receptor: MICA/B Results in Immune escape – Proteolytic cleavage  shedding of MICA/B present in serum, indication of tumor progression
  • Shed MICA vs Surface MICA/B – restore NK cell cytotoxicity and IFNgamma Production
  • Human NK cells express NKG2D and Fc Receptors
  • Synergistic NKG2D and CD16 signaling enhances NK cell cytootxicity: Control IgG vs Anti NKG2D
  • MICA Antibody induces Immunity Against Lung Metastases
  • NK cells are required to inhibit Growth of metastases: Anti-CD8beta,
  • Contribution to Therapeutic Efficacy: NKG2D and CD16 Receptors #KaiWucherpfennig
  • Strategy to analyze Pulmonary NK cells: Activation and expression
  • Single cell RNA-seq of lung NK cells Revealed higher infiltration of activated NK cells: Isotype vs 7C6-migG2a
  • Cytokines and Chemokines produce NK cells
  • MICA/B increaces NK
  •  Induction of Tumor cell Apoptosis
  • Xenotransplant Model with Human Melanoma Cel Line A2058
  • Lung metastasis, liver metastasis
  • Inhibition of human melanoma Metastases in NSG Mice Reconstitute with Human NK
  • Liver metastases are controlled by Myeloid Cells that include Kupffer cells

Michael Birnbaum – MIT, Koch Institute
An Unbiased Determination of pMHC Repertoires for Better Antigen Prediction

  • Vaccines TCR gene therapy adoptive T cel therapy
  • Tumor genone – Tumor pMHC repertoire = Tumor TCR repertoire T cell repertoire
  • Neoantigen vaccines as a personalized anti-cancer therapy
  • Tumor procurement – Target selection – personal vaccine production – vaccine administration
  • Prediction of neoantigen-MHC Binding due to polimorphism affecting recognition, rare in MHC Allells #Michael Birnbaum
  • Antigenicity – Chaperones HLA-DM sculp the peptide binding repertoire of MHC
  • Identification of loaded peptide ligands: pMHC mass spectroscopy of tissue
  • TCR recognition, pMHC yeast display: Cleave peptide-MHC linker, catalyze peptide exchange
  • HLA-DR4 library design and selection to enrich HLA-DM: Amino Acid vs Peptide position: Depleted vs Enriched – relative to expected for NNK codon
  •  6852 _ predicted to bind vs 220 Non-binding peptides
  • HLA polymorphism: repertoire differences caused by
  • Antigen – T cell-driven antigen discovery: engaging Innate and Adaptive Immune response
  • Sorting TIL and select: FOcus of T cell-driven antigen discovery
  • T cell-driven antigen discovery: TCR

Jennifer R. Cochran – Stanford University
Innate and Adaptive Integrin-targeted Combination Immunotherapy

  • alpa-TAA
  • Targeting Integrin = universal target involved in binding to several receptors: brest, lung, pancreatic, brain tumors arising by mutations – used as a handle for binding to agents
  • NOD201 Peptide-Fc Fusion: A Psudo Ab
  • Handle the therapeutics: NOD201 + alphaPD1
  • NOD201 effectively combines with alphaPD-L1, alphaCTLA-4, and alpha4-1BB/CD137
  • Corresponding monotherapies vs ComboTherapy invoking Innate and Adaptive Immune System
  • Microphages, CD8+ are critical vs CD4+ Neutrophils, NK cells, B cells #JenniferR. Cochran
  • Macrophages activation is critical – Day 4, 4 and 5
  • NOD201 + alphaPD1 combo increases M1 macrophages
  • Who are the best responders to PD1 – genes that are differentially expressed
  • NOD201 deives T cells reaponses through a “vaccinal” effect
  • CAncer Immune CYcle
  • Integrin – localization
  • Prelim NOD201 toxicity studies: no significant effects
  • Targeting multiple integrins vs antibodies RJ9 – minimal effect
  • NOD201 – manufacturability – NEW AGENT in Preclinical stage

2:15 – 2:45 Break

2:45 – 3:35 Session VIII
Moderator: Jianzhu Chen | MIT, Koch Institute

Jennifer Wargo – MD Anderson Cancer Center
Understanding Responses to Cancer Therapy: The Tissue is the Issue, but the Scoop is in the Poop

  • Optimize Targeted Treatment response
  • Translational research in patients on targeted therapy revealed molecular and immune mechanisms of response and resistance
  • Molecular mechanisms – T cell infiltrate after one week of therapy
  • Role of tumor stroma in mediating resistance to targeted therapy
  • Tumor microenvironment
  • Intra-tumoral bacteria identified in patients with Pancreatic Cancer
  • Translational research in patients on immune checkpoint blockade revealed molecualr and immune mechanism of response and resistance
  • Biomarkers not found
  • SYstemic Immunity and environment (temperature) on response to checkpoint blockade – what is the role?
  • Role of mIcrobiome in shaping response to checkpoint blockade in Melanoma
  • Microbime and GI Cancer
  • Diversity of the gut microbiome is associated with differential outcomes in the setting of stem cell transplant in AML
  • Oral and gut fecal microbiome in large cohort patient with metastatic melanoma undergoing systemic therapy
  • Repeat oral & gut AFTER chemo
  • WGSeq – Diversity of microbiome and response (responders vs non-responders to anti PD-1 – High diversity of microbiome have prolonged survival to PD-1 blockade
  • Anti tumor Immunity and composition of gut microbiome in patient on anti-PD-1 favorable AND higher survival #JenniferWargo
  • Enhance therapeutic responses in lang and renal carcinoma: If on antibiotic – poorer survival
  • sharing data important across institutions

Jianzhu Chen – MIT, Koch Institute
Modulating Macrophages in Cancer Immunotherapy

  • Humanized mouth vs de novo human cancer
  • B cell hyperplasia
  • double hit lymphoma
  • AML
  • Overexpression of Bcl-2 & Myc in B cells leads to double-hit lymphoma
  • antiCD52 – CLL
  • Spleen, Bone marrow, Brain
  • Microphages are required to kill Ab-bound lymphoma cells in vivo #JianzhuChen
  • COmbinatorial chemo-Immunotherapy works for solid tumors: treating breast cancer in humanized mice
  • Infiltration of monocytic cells in the bone marrow
  • Cyclophosphophamide-antibody synergy extending to solid tumor and different antibodies #JianzhuChen
  • Polarization of macrophages it is dosage-dependent M1 and M2
  • Antibiotic induces expression of M1 polarizing supresses development and function of tumor-associated macrophages (TAM)
  • Antibiotic inhibits melanoma growth by activating macrophages in vivo #JianzhuChen

 

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Image Source:Koch Institute

 

LIVE – OCTOBER 16 – DAY 1- Koch Institute Immune Engineering Symposium 2017, MIT, Kresge Auditorium

Koch Institute Immune Engineering Symposium 2017

http://kochinstituteevents.cvent.com/events/koch-institute-immune-engineering-symposium-2017/agenda-64e5d3f55b964ff2a0643bd320b8e60d.aspx

 

#IESYMPOSIUM

 

Image Source: Leaders in Pharmaceutical Business Intelligence (LPBI) Group

Aviva Lev-Ari, PhD, RN will be in attendance covering the event in REAL TIME

@pharma_BI

@AVIVA1950

#IESYMPOSIUM

@KOCHINSTITUTE

  • The Immune System, Stress Signaling, Infectious Diseases and Therapeutic Implications: VOLUME 2: Infectious Diseases and Therapeutics and VOLUME 3: The Immune System and Therapeutics (Series D: BioMedicine & Immunology) Kindle Edition – on Amazon.com since September 4, 2017

https://www.amazon.com/dp/B075CXHY1B

SYMPOSIUM SCHEDULE

OCTOBER 16 – DAY 1

7:00 – 8:15 Registration

8:15 – 8:30Introductory Remarks
Darrell Irvine | MIT, Koch Institute; HHMI

  • Stimulating the Immune system not only sustaining it for therapies

K. Dane Wittrup | MIT, Koch Institute

8:30 – 9:45Session I
Moderator: Douglas Lauffenburger | MIT, Biological Engineering and Koch Institute

Garry P. Nolan – Stanford University School of Medicine
Pathology from the Molecular Scale on Up

  • Intracellular molecules,
  • how molecules are organized to create tissue
  • Meaning from data Heterogeneity is an illusion: Order in Data ?? Cancer is heterogeneous, Cells in suspension – number of molecules
  • System-wide changes during Immune Response (IR)
  • Untreated, Ineffective therapy, effective therapy
  • Days 3-8 Tumor, Lymph node…
  • Variation is a Feature – not a bug: Effective therapy vs Ineffective – intercellular modules – virtual neighborhoods
  • ordered by connectivity: very high – CD4 T-cells, CD8 T-cels, moderate, not connected
  • Landmark nodes, Increase in responders
  • CODEX: Multiples epitome detection
  • Adaptable to proteins & mRNA
  • Rendering antibody staining via removal to neighborhood mapping
  • Human tonsil – 42 parameters: CD7, CD45, CD86,
  • Automated Annotations of tissues: F, P, V,
  • Normal BALBs
  • Marker expression defined by the niche: B220 vs CD79
  • Marker expression defines the niche
  • Learn neighborhoods and Trees
  • Improving Tissue Classification and staining – Ce3D – Tissue and Immune Cells in 3D
  • Molecular level cancer imaging
  • Proteomic Profiles: multi slice combine
  • Theory is formed to explain 3D nuclear images of cells – Composite Ion Image, DNA replication
  • Replication loci visualization on DNA backbone – nascent transcriptome – bar code of isotopes – 3D  600 slices
  • use CRISPR Cas9 for Epigenetics

Susan Napier Thomas – Georgia Institute of Technology
Transport Barriers in the Tumor Microenvironment: Drug Carrier Design for Therapeutic Delivery to Sentinel Lymph Nodes

  • Lymph Nodes important therapeutics target tissue
  • Lymphatic flow support passive and active antigen transport to lymph nodes
  • clearance of biomolecules and drug formulations: Interstitial transport barriers influence clearance: Arteriole to Venule –
  • Molecular tracers to analyze in vivo clearance mechanisms and vascular transport function
  • quantifying molecular clearance and biodistribution
  • Lymphatic transport increases tracer concentrations within dLN by orders of magnitude
  • Melanoma growth results in remodeled tumor vasculature
  • passive transport via lymphatic to dLN sustained in advanced tumors despite abrogated cell trafficking
  • Engineered biomaterial drug carriers to enhance sentinel lymph node-drug delivery: facilitated by exploiting lymphatic transport
  • TLR9 ligand therapeutic tumor in situ vaccination – Lymphatic-draining CpG-NP enhanced
  • Sturcutral and Cellular barriers: transport of particles is restriced by
  • Current drug delivery technology: lymph-node are undrugable
  • Multistage delivery platform to overcome barriers to lymphatic uptake and LN targeting
  • nano particles – OND – Oxanorbornade OND Time sensitive Linker synthesized large cargo – NP improve payload
  • OND release rate from nanoparticles changes retention in lymph nodes – Axilliary-Brachial delivery
  • Two-stage OND-NP delivery and release system dramatically – OND acumulate in lymphocyte
  •  delivers payload to previously undraggable lymphe tissue
  • improved drug bioactivity  – OND-NP eliminate LN LYMPHOMAS
  • Engineered Biomaterials

Douglas Lauffenburger – MIT, Biological Engineering and Koch Institute
Integrative Multi-Omic Analysis of Tissue Microenvironment in Inflammatory Pathophysiology

  • How to intervene, in predictive manner, in immunesystem-associated complex diseases
  • Understand cell communication beteen immune cells and other cells, i.e., tumor cells
  • Multi-Variate in Vivo – System Approach: Integrative Experiment & COmputational Analysis
  • Cell COmmunication & Signaling in CHronic inflammation – T-cell transfer model for colitis
  • COmparison of diffrential Regulation (Tcell transfer-elicited vs control) anong data types – relying solely on mRNA can be misleading
  • Diparities in differential responses to T cell transfer across data types yield insights concerning broader multi-organ interactions
  • T cell transfer can be ascertained and validated by successful experimental test
  • Cell COmmunication in Tumor MIcro-Environment — integration of single-cell transcriptomic data and protein interaction
  • Standard Cluster Elucidation – Classification of cell population on Full gene expression Profiles using Training sets: Decision Tree for Cell Classification
  • Wuantification of Pairwise Cell-Cell Receptor/Ligand Interactions: Cell type Pairs vs Receptor/Ligand Interaction
  • Pairwise Cell-Cell Receptor/Ligand Interactions
  • Calculate strength of interaction and its statistical significance
  • How the interaction is related to Phenotypic Behaviors – tumor growth rate, MDSC levels,
  • Correlated the Interactions translated to Phynotypic behavior for Therapeutic interventions (AXL via macrophage and fibroblasts)
  • Mouth model translation to Humans – New machine learning approach
  • Pathways, false negative, tumor negative expression
  • Molecular vs Phynotypical expression
  • Categories of inter-species translation
  • Semi-supervised Learning ALgorithms on Transcriptomic Data can ascertain Key Pathways/Processes in Human IBD from mapping mouse IBD

9:45 – 10:15 Break

10:15 – 11:30Session II
Moderator: Tyler Jacks | MIT, Koch Institute; HHMI

Tyler Jacks – MIT, Koch Institute; HHMI
Using Genetically Engineered Mouse Models to Probe Cancer-Immune Interactions

  • Utility of genetically-engineered mouse models of Cancer:
  1. Immune Response (IR),
  2. Tumor0immune microenvironment
  • Lung adenocarcinoma – KRAS mutation: Genetically-engineered model, applications: CRISPR, genetic interactions
  • Minimal Immune response to KP lung tumors: H&E, T cells (CD3), Bcells (B220) for Lenti-x 8 weeks
  • Exosome sequencing : Modeling loss-and gain-of-function mutations in Lung Cancer by CRISPR-Cas9 – germline – tolerance in mice, In vivo CRISPR-induced knockout of Msh2
  • Signatures of MMR deficient
  • Mutation burden and response to Immunotherapy (IT)
  • Programmed neoantigen expression – robust infiltration of T cells (evidence of IR)
  • Immunosuppression – T cell rendered ineffective
  • Lymphoid infiltration: Acute Treg depletion results in T cell infiltration — this depletion causes autoimmune response
  • Lung Treg from KP tumor-bearing mice have a distinct transcriptional heterogeneity through single cell mRNA sequencing
  • KP, FOXP3+, CD4
  • Treg from no existent to existance, Treg cells increase 20 fold =>>>  Treg activation and effectiveness
  • Single cells cluster by tissue and cell type: Treg, CD4+, CD8+, Tetramer-CD4+
  • ILrl1/II-33r unregulated in Treg at late time point
  • Treg-specific deletion of IL-33r results in fewer effector Tregs in Tumor-bearing lungs
  • CD8+ T cell infiltration
  • Tetramer-positive T cells cluster according to time point: All Lung CD8+ T cells
  • IR is not uniform functional differences – Clones show distinct transcriptional profiles
  • Different phynotypes Exhaustive signature
  • CRISPR-mediated modulation of CD8 T cell regulatory genes
  • Genetic dissection of the tumor-immune microenvironment
  • Single cell analysis, CRISPR – CRISPRa,i, – Drug development

Wendell Lim – University of California, San Francisco

Synthetic Immunology: Hacking Immune Cells

  • Precision Cell therapies – engineered by synthetic biology
  • Anti CD19 – drug approved
  • CAR-T cells still face major problems
  1. success limited to B cells cancers = blood vs solid tumors
  2. adverse effects
  3. OFF-TUMOR effects
  • Cell engineering for Cancer Therapy: User remote control (drug) – user control safety
  • Cell Engineering for TX
  1. new sensors – decision making for
  2. tumor recognition – safety,
  3. Cancer is a recognition issue
  • How do we avoid cross-reaction with bystader tissue (OFF TISSUE effect)
  • Tumor recognition: More receptors & integration
  • User Control
  • synthetic NOTCH receptors (different flavors of synNotch) – New Universal platform for cell-to -cell recognition: Target molecule: Extracellular antigen –>> transciptional instruction to cell
  • nextgen T cell: Engineer T cell recognition circuit that integrates multiple inputs: Two receptors – two antigen priming circuit
  • UNARMED: If antigen A THEN receptor A activates CAR
  • “Bystander” cell single antigen vs “tumor” drug antigen
  • Selective clearance of combinatorial tumor – Boulian formulation, canonical response
  • Cell response: Priming –>> Killing: Spatial & Temporal choreographed cell
  • CAR expression while removed from primed cells deminished
  • Solid Tumor: suppress cell microenvironment: Selected response vs non-natural response
  • Immune stimulator IR IL2, IL12, flagellin in the payload — Ourcome: Immune enhancement “vaccination”
  • Immune suppression –  block
  • Envision ideal situation: Unarmed cells
  • FUTURE: identify disease signatures and vulnerabilities – Precision Medicine using Synthetic Biology

Darrell Irvine – MIT, Koch Institute; HHMI
Engineering Enhanced Cancer Vaccines to Drive Combination Immunotherapies

  • Vaccine to drive IT
  • Intervening in the cancer-immunity cycle – Peptide Vaccines
  • poor physiology  of solute transport to tissue
  • endogenous albumin affinity – Lymphe Node dying
  • Designing Albumin-hitchhiking vaccines
  • Amphiphile-vaccine enhance uptake in lymph nodes in small and large animal models
  • soluble vaccine vs Amphiphile-vaccine
  • DIRECTING Vaccines to the Lymph nodes
  • amph-peptide antigen: Prime, booster, tetramer
  • albimin-mediated LN-targeting of both antigen and adjuvant maximizes IR
  • Immuno-supressed microenvironment will not be overcome by vaccines
  • Replacing adoptive T cell transfer with potent vaccine
  • exploiting albumin biology for mucosal vaccine delivery by amph-vaccines
  • Amph-peptides and -adjuvants show enhanced uptake/retention in lung tissue
  •  Enhancing adoptive T cell therapy: loss of T cell functionality, expand in vivo
  • boost in vivo enhanced adoptive T cell therapy
  • CAR-T cells: Enable T cells to target any cell surface protein
  • “Adaptor”-targeting CAR-T cells to deal with tumor cell heterogeneity
  • Lymph node-targeting Amph as CAR T booster vaccine: prining, production of cytokines
  • Boosting CAR T with amph-caccines: anti FITC CAR-T by DSPE=PEG-FITC coated
  • Targeting FITC to lymph node antigen presenting cells
  • Modulatory Macrophages
  • Amph-FITC expands FITC-CAR T cells in vivo – Adjuvant is needed
  • Hijacking albumin’s natural trafficking pathway

11:30 – 1:00  Lunch Break

1:00 – 2:15Session III
Moderator: Darrell Irvine | MIT, Koch Institute; HHMI

Nicholas P. Restifo – National Cancer Institute
Extracellular Potassium Regulates Epigenetics and Efficacy of Anti-Tumor T Cells

Why T cell do not kill Cancer cells?

  • co-inhibition
  • hostile tumor microenvironment

CAR T – does not treat solid tumors

Somatic mutation

  1. resistence of T cell based IT due to loss of function mutations
  2. Can other genes be lost?

CRISPR Cas9 – used to identify agents – GeCKOv2 Human library

Two cell-type (2CT) CRISPR assay system for genome-wide mutagenesis

  • work flow for genome-scale SRISPR mutagenesis profiling of genes essential for T cell mediate cytosis
  • sgRNA enrichment at the individual gene level by multiple methods:
  1. subunits of the MHC Class I complex
  2. CRISPR mutagenesis cut germline
  • Measutring the generalizability of resistance mechanism and mice in vivo validation
  • Validation of top gene candidates using libraries: MART-1
  • Checkpoint blockade: cells LOF causes tumor growth and immune escape
  • Weird genesL Large Ribisomal Subunit Proteins are nor all essential for cell survival
  • Bias in enrichment of 60S vs 40S
  • Novel elements of MHC class I antigen processing and presentation
  • Association of top CRISPR hits with response rates to IT – antiCTLA-4
  • CRISPR help identify novel regulators of T cells
  • Analyzed sgRNA – second rarest sgRNA for gene BIRC2 – encoded the Baculoviral Inhibitor
  • Drugs that inhibit BIRC2
  • How T cells can kill tumor cells more efficiently
  • p38kiaseas target for adoptive immunotherapy
  • FACS-based – Mapk14
  • Potent targets p38 – Blockade PD-1 or p38 ??
  • p38 signaling: Inhibition augments expansion and memory-marked human PBMC and TIL cells, N. P. Restifo
  • Tumor killing capacity of human CD19-specific, gene engineered T cells

Jennifer Elisseeff – Johns Hopkins University
The Adaptive Immune Response to Biomaterials and Tissue Repair

  • design scafolds, tissue-specific microenvironment
  • clinical translation of biosynthetic implants for soft tissue reconstruction
  • Local environment affects biomaterials: Epidermis, dermis
  • CD4+ T cells
  • Immune system – first reponders to materials: Natural or Synthetic
  • Biological (ECM) scaffolds to repair muscle injury
  • Which immune cells enter the WOUND?
  • ECM alters Macrophages: CD86, CD206
  • Adaptive system impact on Macrophages: CD86
  • mTOR signaling pathway M2 depend on Th2 Cells in regeneration of cell healing of surgical wounds
  • Systemic Immunological changes
  • Is the response antigen specific? – IL-4 expression in ILN,
  • Tissue reconstruction Clinical Trial: FDA ask to look at what cells infiltrate the scaffold
  • Trauma/biomaterial response – Injury induction of Senescence, anti apoptosis
  • Injury to skin or muscle
  • Is pro-regenerative environment (Th2/M2) pro-tumorigenic?
  • SYNTHETIC Materials for scafolds
  • Biomaterials and Immunology
  1. Immune response to bioscafolds
  2. environment modulate the immune system
  • Regenerative Immunetherapy

Marcela Maus – Massachusetts General Hospital

Engineering Better T Cells

  • Comparing CD19 CARs for Leukemia – anti-CD19- directed CAR T cells with r/r B-cell ALL – age 3-25 – FDA approved Novartis tisagenlecleucel – for pediatric r/r/ ALL
  • Phase II in diffuse large B cell lymphoma. Using T cells – increases prospects for cure
  • Vector retroviral – 30 day expression
  • measuring cytokines release syndrome: Common toxicity with CAR 19
  • neurological toxicity, B-cell aplagia
  • CART issues with heme malignancies
  1. decrease cytokine release
  2. avoid neurological toxicity – homing
  3. new targets address antigene escape variants – Resistance, CD19 is shaded, another target needed
  4. B Cell Maturation Antigen (BCMA) Target
  5. Bluebird Bio: Response duratio up to 54 weeks – Active dose cohort
  6. natural ligand CAR based on April
  7. activated in response to TACI+ target cells – APRIL-based CARs but not BCMA-CAR is able to kill TACI+ target cells
  • Hurdles for Solid Tumors
  1. Specific antigen targets
  2. tumor heterogeneity
  3. inhibitory microenvironment
  • CART in Glioblastoma
  1. rationale for EGFRvIII as therapeutic target
  2. Preclinical Studies & Phase 1: CAR t engraft, not as highly as CD19
  3. Upregulation of immunosuppression and Treg infiltrate in CART EGFRvIII as therapeutic target, Marcela Maus
  • What to do differently?

 

2:15 – 2:45 Break

2:45 – 4:00 Session IV
Moderator: Arup K. Chakraborty | MIT, IMES

Laura Walker – Adimab, LLC
Molecular Dissection of the Human Antibody Response to Respiratory Syncytial Virus

  • prophylactic antibody is available
  • Barriers for development of Vaccine
  • Prefusion and Postfusion RSV structures
  • Six major antigenic sites on RSV F
  • Blood samples Infants less 6 month of age and over 6 month: High abundance RSV F -specific memory B Cells are group  less 6 month

Arup K. Chakraborty – MIT, Institute for Medical Engineering & Science
How to Hit HIV Where it Hurts

  • antibody  – Model IN SILICO
  • Check affinity of each Ab for the Seaman panel of strain
  • Breadth of coverage
  • immmunize with cocktail of variant antigens
  • Mutations on Affinity Maturation: Molecular dynamics
  • bnAb eveolution: Hypothesis – mutations evolution make the antigen binding region more flexible,
  • Tested hypothesisi: carrying out affinity maturation – LOW GERMLINE AFFINITY TO CONSERVE RESIDUES IN 10,000 trials, acquire the mutation (generation 300)

William Schief – The Scripps Research Institute
HIV Vaccine Design Targeting the Human Naive B Cell Repertoire

  • HIV Envelope Trimer Glycan): the Target of neutralizing Antibodies (bnAbs)
  • Proof of principle for germline-targeting: VRC)!-class bnAbs
  • design of a nanoparticle
  • can germline -targeting innumogens prime low frequency precursors?
  • Day 14 day 42 vaccinate
  • Precursor frequency and affinity are limiting for germline center (GC) entry at day 8
  • Germline-targeting immunogens can elicit robust, high quality SHM under physiological conditions of precursor frequency and affinity at day 8, 16, 36
  • Germline-targeting immunogens can lead to production of memory B cells

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Reporter and Curator: Dr. Sudipta Saha, Ph.D.

 

Scientists at the Stanford University School of Medicine have completed the first-ever characterization of the meticulously timed immune system changes in women that occur during pregnancy. The findings were published in Science Immunology revealed that there is an immune clock of pregnancy and suggest it may help doctors predict preterm birth.

 

The timing of immune system changes follows a precise and predictable pattern in normal pregnancy. Although physicians have long known that the expectant mother’s immune system adjusts to prevent her body from rejecting the fetus, no one had investigated the full scope of these changes, nor asked if their timing was tightly controlled.

 

Nearly 10 percent of U.S. infants are born prematurely, arriving three or more weeks early, but physicians lack a reliable way to predict premature deliveries. Previous research at Stanford and other places suggested that inflammatory immune responses may help in triggering early labor. It suggested that if scientists identify an immune signature of impending preterm birth, they should be able to design a blood test to detect it.

 

The researchers used mass cytometry, a technique developed at Stanford, to simultaneously measure up to 50 properties of each immune cell in the blood samples. They counted the types of immune cells, assessed what signaling pathways were most active in each cell, and determined how the cells reacted to being stimulated with compounds that mimic infection with viruses and bacteria.

 

The researchers developed an algorithm that captures the immunological timeline during pregnancy that both validates previous findings and sheds new light on immune cell interaction during gestation. By defining this immunological chronology during normal term pregnancy, they can now begin to determine which alterations associate with pregnancy-related pathologies.

 

With an advanced statistical modeling technique, introduced for the first time in this study, the scientists then described in detail how the immune system changes throughout pregnancy. Instead of grouping the women’s blood samples by trimester for analysis, the model treated gestational age as a continuous variable, allowing the researchers to account for the exact time during pregnancy at which each sample was taken. The mathematical model also incorporated knowledge from the existing scientific literature of how immune cells behave in nonpregnant individuals to help determine which findings were most likely to be important.

 

The study confirmed immune features of pregnancy that were already known. Such as the scientists saw that natural killer cells and neutrophils have enhanced action during pregnancy. The researchers also uncovered several previously unappreciated features of how the immune system changes, such as the finding that activity of the STAT5 signaling pathway in CD4+T cells progressively increases throughout pregnancy on a precise schedule, ultimately reaching levels much higher than in nonpregnant individuals. The STAT5 pathway is involved in helping another group of immune cells, regulatory T cells, to differentiate. Interestingly, prior research in animals has indicated that regulatory T cells are important for maintaining pregnancy.

 

The next step will be to conduct similar research using blood samples from women who deliver their babies prematurely to see where their trajectories of immune function differ from normal.

 

This study revealed a precisely timed chronology of immune adaptations in peripheral blood over the course of a term pregnancy. This finding was enabled by high-content, single-cell mass cytometry coupled with a csEN algorithm accounting for the modular structure of the immune system and previous knowledge. The study provided the conceptual backbone and the analytical framework to examine whether disruption of this chronology is a diagnostically useful characteristic of preterm birth and other pregnancy-related pathologies.

 

References:

 

http://immunology.sciencemag.org/content/2/15/eaan2946.full

 

http://med.stanford.edu/news/all-news/2017/09/immune-system-changes-during-pregnancy-are-precisely-timed.html

 

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3078586/

 

http://www.nature.com/nm/journal/v19/n5/full/nm.3160.html?foxtrotcallback=true

 

https://www.ncbi.nlm.nih.gov/pubmed/14758358

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