Indication-specific tumor evolution and its impact on neoantigen targeting and biomarkers for individualized cancer

Amy A Lo1, Andrew Wallace2, Daniel Oreper2

  • 1Department of Research Pathology, Genentech Inc, South San Francisco, California, USA lo.amy@gene.com oliver@init.bio.

Abstract

Insights

Targeting clonal neoantigens for individualized neoantigen-specific immunotherapy (iNeST) is challenging due to tumor heterogeneity. This study reveals that tumor type, sampling, neoantigen expression, and HLA allele retention are key factors for effective iNeST patient selection and biomarker development.

Area of Science:

  • Oncology
  • Cancer Genomics
  • Immunotherapy

Background:

  • Individualized neoantigen-specific immunotherapy (iNeST) relies on clonal neoantigens for efficacy.
  • Tumor heterogeneity, neoantigen expression loss, and sampling variability pose challenges for iNeST.
  • The distribution of clonal neoantigens across cancer types remains poorly understood.

Purpose of the Study:

  • To characterize globally clonal neoantigen content in solid tumors.
  • To identify factors influencing neoantigen targeting in cancer immunotherapy.
  • To assess the impact of tumor evolution on neoantigen availability.

Main Methods:

  • Combined multiregion sequencing (MR-seq) of five metastatic solid tumors.
  • Re-analyzed published MR-seq data from 103 patients.
  • Evaluated factors impacting clonal neoantigen identification.

Main Results:

  • Branching evolution in colorectal and renal cancers reduced clonal neoantigens and generated clade-specific neoantigens.
  • Most colorectal, renal, and bladder cancers exhibited limited globally clonal neoantigens.
  • Purity-adjusted and ploidy-adjusted variant allele frequency prioritized clonal neoantigens; clustering-based cancer cell fraction did not.
  • Neoantigen expression loss and HLA allele loss were observed in specific cancer types.

Conclusions:

  • Tumor type, multilesion sampling, neoantigen expression, and HLA allele retention are crucial for iNeST targeting and patient selection.
  • These factors are also important for developing effective biomarker strategies in cancer immunotherapy.
  • Understanding neoantigen distribution is vital for optimizing iNeST efficacy.

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