Feeds:
Posts
Comments

Posts Tagged ‘spatial genomics’

Real Time Conference Coverage: Advancing Precision Medicine Conference, Afternoon Omics Session Track 2 October 3 2025

Reporter: Stephen J. Williams, PhD

Leaders in Pharmaceutical Business Intellegence will be covering this conference LIVE over X.com at

@pharma_BI

@StephenJWillia2

@AVIVA1950

@AdvancingPM

using the following meeting hashtags

#AdvancingPM #precisionmedicine #WINSYMPO2025

4:20-4:40

Andrea Ferreira-Gonzalez

 

  • APOE was marker for defining a long term survivor and short term survivor for ovarian cancer patients; the markers were in the stroma
  • there is spatial communication between tumor and underlying stroma
  • it is imperative to understand how your multiomics equipment images a tumor area before it laser captures and send to the MS system; can lose a lot of tissue and information based on differences in resolution
  • many of these multiomics systems are validated for the clinic in EU not US
  • multiomics spatial analysis allows you to image protein, metabolite, mRNA expression in the 3 dimensional environment of the tumor (tumor cells and stroma)
  • they are making a human tumor atlas
  • they say a patient who had tumor went home during COVID and took vaccine but got ill with vaccine; but came back to check tumor and tumor had greatly regressed because prevaccine the tumor was immunologically cold and post COVID vaccine any left over tumor showed great infiltration of immune cells

4:40-4:55

Andrea Ferreira-Gonzalez

Aruna Ayer, PhDVP, Multiomics, Innovation and Scientific AffairsBD Biosciences

  • BD Bioscience multiomics platform is modular and can add more omics levels in the platorm
  • for example someone wanted to look at T cells
  • people have added CRISPR screens on the omics platform
  • most people are using single cell spatial omics
  • they have a FACS on their platform too so you can look at single cell spatial omics and sort different cellular populations
  • very comparative to 10X Genomics platform
  • their proteomics is another layer you can add on their platform however with proteomics you can high background notice with spatial proteomics or a limited panel of biomarkers
  • Their OMICS Protein One panels are optimized for biology and tumor type.
  • get high quality multiomics data and proteomics data but in a 3D spatial format
  • developed Cellismo Data Visualization software tool

4:55-5:10

Andrea Ferreira-Gonzalez

Harsha Gowda, PhDSenior Principal Scientist, Director, Research & Lab Operations, Signios Bio

Signios Biosciences (Signios Bio) is the US-based arm of MedGenome, a global leader in genetic testing services, genomics research, and drug discovery solutions.

Signios Bio is a multiomics and bioinformatics company dedicated to revealing the intricate signals within biological data. We leverage the power of multiomics—integrating data from genomics, transcriptomics, proteomics, epigenomics, metabolomics, and microbiomics—to gain a comprehensive understanding of disease biology. Our AI-powered bioinformatics platform allows us to efficiently analyze these complex datasets, uncovering hidden patterns and accelerating the development of new therapies and diagnostics.

Through the integration of cutting-edge multiomics technologies, advanced bioinformatics, and the expertise of world-class scientists, we enable researchers and clinicians with comprehensive, end-to-end solutions to improve drug discovery and development and advance precision medicine.

As part of MedGenome, we have access to real-world evidence (RWE) from global research networks across the US, Europe, Asia, Africa, Middle East, and Latin America. This access enables us to work with our partners to uncover insights that can lead to new biomarkers and drug targets, ensuring that precision medicine is inclusive and effective for all.

https://www.signiosbiolcom 

  • their platform can do high throughput analysis of patient tumors (like gallbladder cancer) analyzing mutational spectrum with high dimensionality
  • they can integrate genomic and transcriptomics data to reveal multiple pathways affected in patient data
  • have used their platform to investigate spatial omics in lung cancer

Read Full Post »

Real Time Coverage Morning Session on Precision Oncology: Advancing Precision Medicine Annual Conference, Philadelphia PA November 2 2024

Reporter: Stephen J. Williams, Ph.D.

9:20-9:50

How Can We Close the Clinical Practice Gaps in Precision Medicine?

Susanne Munksted, Diaceutics

Studies are showing that genetic tests are being ordered at a sufficient rate however it appears there are problems in interpretation and developing treatment plans based on omics testing results

 

  • 30 % of patients in past and now currently half of all patients are not being given the proper treatment based on genomic testing results (ASCO)
  • E.g. only 1.5% with NTRK fusions received a NTRK based therapy (this was > 4000 patients receiving wrong therapy)
  • A lung oncologist may only see one patient with NTRK fusion in three years

 

Precision Medicine Practice Gaps

48% of oncologist surveyed  agreed pathologist needs to be more informed and relevant in the decision making process with regard to tests needing to be ordered

95% said need to flip cost issues ; what does it cost not to get a test … i.e. what is the cost of the wrong therapy

We need a new commercialization model for therapeutic development for this new era of “n of one” patient

9:50-10:15

Implementation of a CLIA-based Reverse Phase Protein Array Assay for Precision Oncology Applications: Proteomics and Phosphoproteomics at the Bedside (CME Eligible)

Emanuel Petricoin, George Mason University

There are some tumor markers approved by FDA that cant just be measured by NGS and are correlated with a pathologic complete response

 

  • Many point mutations will have no actionable drug
  • Many alterations are post-genomic meaning there is a post translational component to many prognostic biomarkers
  • Prevalence of point mutation with no actionable mutation is a limit of NGS
  • It is important to look at phospho protein spectrum as a potential biomarker

 

Reverse phase protein proteomic analysis

  • Made into CLIA based array
  • They trained centers around the US on the technology and analysis
  • Basing proteomics or protein markers by traditional IHC requires much antibody validation so if the mass spectrometry field can catch up it would be very powerful
  • With multiple MRM.MS there is too low abundance of phosphoproteins to allow for good detection

 

They  conducted the I-SPY2 trial for breast cancer and determining if phosphoproteins could be a good biomarker panel

  • They found they could predict a HER2 response better than NGS
  • There were patients who were predicted HER2 negative that actually had an activated HER2 signaling pathway by proteomics so NGS must have had a series of false negatives
  • HER2 co phosphorylation predicts pathologic complete response and predicts therapy by herceptin
  • They found patients classified as HER2 negative by FISH were HER2 positive by proteomics and had HER2 activation

10:15-11:10

Liquid Biopsy MRD to Escalate or De-escalate Therapy (CME Eligible)

Adrian Lee

Adrian Lee, UPMC

Marija Balic, UPMC

Howard McLeod

Howard McLeod, Utah Tech University

Muhammed, Murtaza, University of Wisconsin-Madison

 

11:15-11:25  PRODUCT PRESENTATION  204A

SpaceIQ™ – Powering Next Generation Precision Therapeutics with AI-Driven Spatial Biomarkers

Dusty Majumdar, PredxBio 

Single Cell and Spatial Omics

 

  • Single cell transcriptomics technology have been scaled up very nicely over the past ten years
  • Spatial informatics field is lacking in innovations
  • Can get a terabyte worth of data from analysis of one slide

11:25-11:35  PRODUCT PRESENTATION  204C

10x Genomics

11:40-12:35

Transcriptomics and AI in Transforming Precision Diagnosis

Maher Albitar, Genomic Testing Cooperative

Transciptomica and AI:Transforming Precision diagnosis

-The Genomics Testing Coopererative at www.genomictestingcooperative.com

 

Advantages of transcriptomics

– mutation frequency and allele variant detection now at 80% (higher sensitivity in mutation detection)

 

– transcriptomics has good detection of chromosomal translocations

– great surrogate for IHC and detect splicing alterations

– can use AI to predict % of PDL1 in tumor cells versus immune cells

– they have developed a software UMAP (uniform manifold approximation and projection) to supervise cluster analysis

– the group has used AI to predict prognosis and survival using transcriptomics data

Marija Balic, UPMC

Andrew Pecora, Hackensack University Medical Center 

12:35-1:00

The Impact of Multi-Omics in the Context of the APOLLO-2 Moonshot Program (CME Eligible)

 

 

Read Full Post »