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Updated: Oct 18, 2025

Author Spotlight: Advancements in Molecular Biomarker Testing for Non-Squamous Non-Small Cell Lung Cancer
Published on: September 8, 2023
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.
Background:
Individualized neoantigen-specific immunotherapy (iNeST) requires robustly expressed clonal neoantigens for efficacy, but tumor mutational heterogeneity, loss of neoantigen expression, and variable tissue sampling present challenges. It is assumed that clonal neoantigens are preferred targets for immunotherapy, but the distributions of clonal neoantigens are not well characterized across cancer types.
Methods:
We combined multiregion sequencing (MR-seq) analysis of five untreated, synchronously sampled metastatic solid tumors with re-analysis of published MR-seq data from 103 patients in order to characterize their globally clonal neoantigen content and factors that would impact neoantigen targeting.
Results:
Branching evolution in colorectal cancer and renal cell carcinoma led to fewer clonal neoantigens and to clade-specific neoantigens (those shared across a subset of tumor regions but not fully clonal), with the latter not being readily distinguishable in single tumor samples. In colorectal, renal, and bladder cancer, most tumors had few globally clonal neoantigens. Prioritizing mutations with higher purity-adjusted and ploidy-adjusted variant allele frequency enriched for globally clonal neoantigens (those found in all tumor regions), whereas estimated cancer cell fraction derived from clustering-based tools, surprisingly, did not. Neoantigen quality was associated with loss of neoantigen expression in the bladder cancer case, and HLA-allele loss was observed in the renal and non-small cell lung cancer cases.
Conclusions:
We show that tumor type, multilesion sampling, neoantigen expression, and HLA allele retention are important factors for iNeST targeting and patient selection, and may also be important factors to consider in the development of biomarker strategies.
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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