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ORIGINAL RESEARCH article

Front. Immunol.

Sec. Cancer Immunity and Immunotherapy

This article is part of the Research TopicPrecision Oncology in Checkpoint Immunotherapy: Leveraging Predictive Biomarkers for Personalized TreatmentView all 25 articles

Tumor mutational burden predicts neoantigen profiles and immunotherapy response in microsatellite stable tumors across different cancer types

Provisionally accepted
  • 1Zurich University of Applied Sciences, Winterthur, Switzerland
  • 2Swiss Institute of Bioinformatics, Lausanne, Vaud, Switzerland
  • 3University of Zurich, Zürich, Zürich, Switzerland
  • 4University of Bern, Bern, Bern, Switzerland

The final, formatted version of the article will be published soon.

Immunotherapy has shown positive response in many patients with microsatellite instable (MSI-H) tumors, but its effectiveness in microsatellite stable (MSS) tumors remains limited. We hypothesize that tumor mutational burden (TMB) could help identify patients with MSS tumors who can benefit from immunotherapy. We analyzed the molecular characteristics, including mutational landscape, mutational signatures, immune cell profiles and neoantigen load of MSS tumors with high TMB using data from colorectal cancer datasets (TCGA-COAD and TCGA-READ). After that, we extended these findings across other cancer types with MSI classification, further supporting the potential of using TMB as a biomarker for predicting immunotherapy response in MSS tumors. Our results show that MSS tumors with TMB greater than 50 mutations per megabase have POLE gene mutations, which lead to hypermutation. These hypermutated tumors have immune cell signatures that are more similar to MSI-H tumors, rather than MSS tumors with low TMB. We also found that MSS tumors with high TMB have a much higher number of neoantigens compared to low-TMB MSS tumors, suggesting they may respond better to immunotherapy.

Keywords: Immunotherapy, Tumor mutational burden, TMB, Microsatellite stability, MSS, neoantigens, pole, Cancer biomarkers

Received: 24 Feb 2025; Accepted: 08 Dec 2025.

Copyright: © 2025 Kondrateva, Sonay, Zlobec and Anisimova. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Olesia Kondrateva

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