MAY 08, 2019 10:30 AM PDT

Discovering Cellular Mechanisms and Biomarkers in Anti-PD1 Non-Responders Using Ingenuity Pathway Analysis Software and OmicSoft OncoLand Datasets from QIAGEN

Sponsored by: QIAGEN
Speaker
  • Senior Field Application Scientist, QIAGEN Advanced Genomics
    Biography
      Devendra (Dev) received his PhD from University of California San Diego(UCSD) Biomedical Sciences graduate program and did postdoctoral studies under both academic and pharmaceutical settings. During his post-doctoral studies, he focused on cellular mechanisms regulating stem cells and cancer stem cells through next-gen sequencing data generation, analysis, interpretation and mining. Dev joined QIAGEN as a field application scientist in 2015. In the past 3 years, he has provided trainings to many pharma, biotech, academic and government investigators for different QIAGEN bioinformatics software. In addition, he has helped many of these users troubleshoot problems with their existing workflows and design new workflows.

    Abstract

    The last two decades have seen an explosion in the volume of oncology data generated using next-generation sequencing (NGS) and multi-omics techniques. As a result, there is a growing need for computational tools that are powerful enough to generate meaningful hypotheses about the biological mechanisms underlying cancer. In this presentation, we demonstrate how two of QIAGEN’s bioinformatics solutions – Ingenuity Pathway Analysis (IPA) software and the OmicSoft OncoLand database – can be combined to generate testable hypotheses in an immuno-oncology case study (GSE67501). This study sought to understand the mechanism underlying the failure of anti-PD-1 therapy in advanced renal cell carcinoma patients. The study data, along with tens of thousands of other public-domain datasets (including TCGA, SRA, GEO, GTEx and others), have been reprocessed using OmicSoft’s bioinformatics pipeline, and are readily available in OmicSoft’s OncoLand platform. Analysis of these data in OncoLand revealed that UGT1 family members and immune genes were differentially regulated in responder vs non-responder populations, similar to as described in the original publication. These data were then interpreted in IPA, which has millions of findings from peer-reviewed publications. Immunologic, cell cycle, metabolite transport and solute related pathways and functions were found to be enriched. Using IPA’s analytic and predictive capabilities, along with the public data curated from TCGA and GEO and other sources present in OncoLand, we demonstrate how these QIAGEN solutions can be used to generate hypotheses for mechanism of action, and to discover potential therapeutic targets and biomarkers.

    Learning Objectives: 

    1. Introduction to databases backing Ingenuity Pathway Analysis and Oncoland
    2. Studying potential biomarkers and targets through Oncoland’s data mining and comparison tools
    3. Generation of peer-reviewed literature backed hypotheses through Ingenuity Pathway Analysis
     


    Show Resources
    You May Also Like
    MAY 11, 2021 10:00 AM PDT
    Add to Calendar Select one of the following: iCal Google Calendar Outlook Calendar Yahoo Calendar
    C.E. CREDITS
    MAY 11, 2021 10:00 AM PDT
    Add to Calendar Select one of the following: iCal Google Calendar Outlook Calendar Yahoo Calendar
    Date: May 11, 2021 Time: 10:00zm PDT Your samples are some of the most valuable assets in the laboratory. After spending countless hours on extraction and preparation, your conclusions could...
    JUN 09, 2021 7:00 AM PDT
    Add to Calendar Select one of the following: iCal Google Calendar Outlook Calendar Yahoo Calendar
    C.E. CREDITS
    JUN 09, 2021 7:00 AM PDT
    Add to Calendar Select one of the following: iCal Google Calendar Outlook Calendar Yahoo Calendar
    Date: June 9, 2021 Time: 09 June 2021, 7am PDT, 10am EDT, 4pm CEST cells with dramatic implications on the validity of past cell culture related research. The fact that at least 509 cell lin...
    DEC 02, 2020 8:00 AM PST
    C.E. CREDITS
    DEC 02, 2020 8:00 AM PST
    DATE: December 2nd, 2020 TIME: 08:00am PDT, 11:00pm EDT Bioreactors and shakers are used to cultivate microorganisms, plant, insect, and mammalian cells in different volumes. Upscaling of pr...
    NOV 16, 2020 8:00 AM PST
    C.E. CREDITS
    NOV 16, 2020 8:00 AM PST
    Date: November 16, 2020 Time: 8:00am (PST), 11:00am (EST) CRISPR screening has become the prime discovery tool in modern biomedical research and drug discovery. At the same time, most screen...
    NOV 10, 2020 7:00 AM PST
    C.E. CREDITS
    NOV 10, 2020 7:00 AM PST
    DATE: November 10, 2020 TIME: 7:00am PDT, 10:00am EDT Automation can provide tremendous benefits such as increased pipetting precision and accuracy, productivity, and throughput. Numerous wo...
    APR 21, 2021 5:00 PM CEST
    APR 21, 2021 5:00 PM CEST
    Date: April 21, 2021 Time: 8:00am (PDT), 11:00am (EDT), 5:00pm (CEST) Spatial Answers Trilogy - Spatial Answers in Immunology Immunology Researchers share their Spatial Discoveries in SARS-C...
    MAY 08, 2019 10:30 AM PDT

    Discovering Cellular Mechanisms and Biomarkers in Anti-PD1 Non-Responders Using Ingenuity Pathway Analysis Software and OmicSoft OncoLand Datasets from QIAGEN

    Sponsored by: QIAGEN

    Specialty

    Biomarkers

    Gene Expression

    Dna

    Cell Culture

    Dna Sequencing

    Clinical Diagnostics

    Cancer Diagnostics

    Mass Cytometry

    Antibodies

    T-Cells

    Molecular Diagnostics

    Immunotherapeutics

    Virology

    Immunology

    Clinical Research

    Geography

    North America50%

    Europe50%

    Registration Source

    Website Visitors100%

    Job Title

    Student50%

    Medical Laboratory Technician50%

    Organization

    Clinical Laboratory50%

    Academic Institution50%


    Show Resources
    Loading Comments...
    Show Resources