Genomic and Immunologic Correlates of Immunotherapy Response and Resistance via Longitudinal Tumor and Extracellular Vesicle (EV) Analysis

Abstract

One of the most promising recent therapeutic avenues has been cancer immunotherapy: boosting the immune system or training it against tumor antigens. However, only a fraction of patients receive durable clinical benefits from these therapies. There is a pressing need to identify factors predictive of clinical response to help make patient-specific treatment choices, understand the mechanisms of both de novo and acquired immunotherapy resistance, and nominate new therapeutic targets for combination therapy. We are undertaking multi-level analysis of longitudinal patient tumor samples in parallel with peripheral blood-derived extracellular vesicle (EV) RNA expression in patients undergoing checkpoint blockade therapy. We hypothesize that blood-based analysis will allow us to interrogate multiple tumor sites simultaneously, offering a more broad-based analysis of the tumor and immune landscape than tumor analysis alone. Additionally, tissue-of-origin analysis from EV transcripts during treatment will allow us to gain a comprehensive understanding of changes in the tumor microenvironment during checkpoint blockade immunotherapy.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2022
Accession Number
AD1192592

Entities

People

  • Genevieve Boland

Organizations

  • Massachusetts General Hospital

Tags

DTIC Thesaurus Topics

  • Biomedical Research
  • Blood
  • Cell Line
  • Cells
  • Combination Therapy
  • Covid-19
  • Data Analysis
  • Data Sets
  • Department Of Defense
  • Extracellular Vesicles
  • Gene Therapy
  • Governments
  • Health
  • Health Services
  • Hospitals
  • Immune System
  • Lymphocytes
  • Medical Personnel
  • Neoplasms
  • Oncology
  • Therapy
  • Training
  • Transcriptomics

Fields of Study

  • Biology
  • Medicine

Readers

  • Oncology
  • Systems Analysis and Design

Technology Areas

  • Biotechnology
  • Biotechnology - Cancer Biotech