Prospective tumour mutation burden and neoantigen profiling predicts immunotherapy response in metastatic melanoma

Tumour mutation burden (TMB) is a promising biomarker in predicting immunotherapy response, yet its reproducibility across target panels needs to be established. This study assessed the reproducibility of TMB estimates in melanoma using TruSight Oncology 500 across two laboratories and compared these results with the FoundationOne CDx and QIAseq TMB IO panels. High concordances in TMB estimation, mutation calls, and BRAF and N/K/HRAS hotspot variants were observed between platforms. In a cohort of 198 pre-treatment biopsies from patients treated with immune checkpoint inhibitors, high TMB (≥10 mut/Mb) was associated with significantly improved response and progression-free survival (PFS), while somatic mutations in PTPRD and a germline variant in PIK3CA (I391M) were associated with favourable outcomes independent of TMB. Neoantigen profiling of 135 samples demonstrated that neoantigen load, particularly neoepitopes with strong-binding to class II MHC, had a superior predictive value over TMB for PFS. Mutations in NF1 and ROS1 that produce a neoantigen were also linked to improved outcomes. These results support the reproducibility of TMB estimation and highlight the added value of neoantigen profiling in predicting immunotherapy benefits in melanoma.

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Publication Details

Journal
npj Precision Oncology
Published
2026-01-22
DOI
https://doi.org/10.1038/s41698-025-01230-y
Primary Topic
Cancer Immunotherapy and Biomarkers
Type
article
Field-Weighted Citation Impact
0.00

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article

Prospective tumour mutation burden and neoantigen profiling predicts immunotherapy response in metastatic melanoma

Yizhe Mao, Tuba N. Gide, Ismael A. Vergara, Paola Cornejo‐Páramo et al.
npj Precision Oncology
Cancer Immunotherapy and Biomarkers
article

Prospective tumour mutation burden and neoantigen profiling predicts immunotherapy response in metastatic melanoma

Yizhe Mao, Tuba N. Gide, Ismael A. Vergara, Paola Cornejo‐Páramo, Alison Potter, Elizabeth C. Paver, Andrea Boutros, Danielle Vignati, James S. Wilmott, Serigne N. Lo, Alexander M. Menzies, Matteo S. Carlino, Nigel G. Maher, Georgina V. Long, Hazel Burke, Inês Pires da Silva, Richard A. Scolyer
article en

Abstract

Tumour mutation burden (TMB) is a promising biomarker in predicting immunotherapy response, yet its reproducibility across target panels needs to be established. This study assessed the reproducibility of TMB estimates in melanoma using TruSight Oncology 500 across two laboratories and compared these results with the FoundationOne CDx and QIAseq TMB IO panels. High concordances in TMB estimation, mutation calls, and BRAF and N/K/HRAS hotspot variants were observed between platforms. In a cohort of 198 pre-treatment biopsies from patients treated with immune checkpoint inhibitors, high TMB (≥10 mut/Mb) was associated with significantly improved response and progression-free survival (PFS), while somatic mutations in PTPRD and a germline variant in PIK3CA (I391M) were associated with favourable outcomes independent of TMB. Neoantigen profiling of 135 samples demonstrated that neoantigen load, particularly neoepitopes with strong-binding to class II MHC, had a superior predictive value over TMB for PFS. Mutations in NF1 and ROS1 that produce a neoantigen were also linked to improved outcomes. These results support the reproducibility of TMB estimation and highlight the added value of neoantigen profiling in predicting immunotherapy benefits in melanoma.

npj Precision OncologyVol. 10(1)
Champalimaud Foundation (PT), Australian National University (AU), The University of Sydney (AU), Mater Health Services (AU), Royal Prince Alfred Hospital (AU), Royal North Shore Hospital (AU), Blacktown & Mount Druitt Hospital (AU), Sydney Hospital (AU), Canberra Hospital (AU), Melanoma Institute Australia (AU), University of Genoa (IT)
NSW Health Pathology, Cancer Institute NSW, University of Sydney, Melanoma Institute Australia, Ross Trust, Medical Research Council, National Health and Medical Research Council
Good health and well-being
Openalex Percentile: Top 81%
Cancer Immunotherapy and Biomarkers
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