Utilizing the Immune Response to Tumor Neoantigens for Kidney Cancer Early Detection

Abstract

Advanced-stage renal cell carcinoma (RCC) results in markedly reduced survival compared to curable early-stage RCC, which highlights the need for better cure rates through early detection. Screening assays are needed that allow for detecting all RCC at stage I. Here, we tested the hypothesis that immune response to clear cell RCC (ccRCC) neoantigens provides a signal of stage I ccRCC in blood. Using the Serum Epitope Repertoire Analysis (SERA) platform, which utilizes a library of peptides that are displayed on bar-coded bacteria to identify antibodies that are present in serum, we profiled the antibody repertoire in 177 ccRCC patients across stages and grades and compare these to 23 patients with benign kidney lesions and to 1519 non-cancer controls. We found that ccRCC patients have a richer antibody repertoire. However, each epitope is shared only in up to approx. 10 percent of ccRCC patients. Additionally, many antibodies that are enriched in ccRCC patients correspond to epitopes that do not map to the linear human proteome. Further work is needed to reveal the nature of these epitopes and to develop methods for 'binning' enriched epitopes in RCC, e.g., on the protein level, to reveal common antigenic proteins and pathways in ccRCC.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2022
Accession Number
AD1191172

Entities

People

  • Alice C. Fan

Organizations

  • Stanford University

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Antibodies
  • Antigens
  • Biological Markers
  • Biomedical Research
  • Bladder Cancer
  • Blood
  • Breast Cancer
  • Cancer
  • Clinical Trials
  • Computational Biology
  • Data Analysis
  • Demographic Cohorts
  • Detection
  • Detectors
  • Kidney Cancer
  • Kidney Diseases
  • Lung Cancer
  • Maryland
  • Medical Personnel
  • Neoplasms
  • Professional Development
  • Prostate Cancer
  • Proteins
  • Technology Transfer
  • Universities
  • Validation
  • X-Ray Computed Tomography

Fields of Study

  • Biology

Readers

  • Immunology
  • Oncology
  • Oncology and Biomarker-Based Cancer Detection.

Technology Areas

  • Biotechnology
  • Biotechnology - Cancer Biotech