Molecular classification of microsatellite-instable colorectal cancers reveals distinct predictors of immunotherapy response

Microsatellite-instable (MSI) tumours constitute one-fifth of colorectal cancers (CRCs).However, the MSI CRCs display substantial tumour microenvironment (TME) heterogeneity and variable responses to immunotherapy, necessitating a refined classification to guide personalized therapy.In this study, we analysed whole-genome and transcriptome sequences from 223 MSI CRC patients from a large prospective longitudinal cancer study in Sweden (Nunes L, Li F, Wu M, et al.Prognostic genome and transcriptome signatures in colorectal cancers.Nature.2024;633(8028):137-146) and identified three molecular subclasses with distinct TME and genetic features: class 1a (immune-excluded), characterized by prominent stromal activation, transforming growth factor- signalling, and low tumour neoantigen burdens (TNB); class 1b (immune-infiltrated), marked by intact neoantigen presentation and strong antitumour immunity; and class 2 (immune-cold), exhibiting epithelial features, high tumour mutation burden (TMB) and TNB, chromosomal instability, active metabolism, and a lack of immune activation.We further uncovered a correlation between mutL homolog 1 (MLH1) hypermethylation and the immune-cold phenotype in class 2, where anti-programmed cell death protein 1 (PD-1) and anti-cytotoxic T-lymphocyte-associated protein 4 (CTLA4) combination immunotherapy demonstrated significantly improved efficacy compared with anti-PD-1 monotherapy.Finally, the molecular features of these subclasses were validated in external MSI CRC cohorts and in MSI tumours from other cancers.Our findings offer a comprehensive understanding of the molecular landscape of MSI CRC, unveiling potential molecular mechanisms underlying different tumour-immune phenotypes and laying the foundation for future development of tailored treatment strategies.

Authors

Institutions

Publication Details

Journal
ESMO Gastrointestinal Oncology
Published
2025-11-21
DOI
https://doi.org/10.1016/j.esmogo.2025.100268
Primary Topic
Cancer Immunotherapy and Biomarkers
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Molecular classification of microsatellite-instable colorectal cancers reveals distinct predictors of immunotherapy response

Meng Wu, Tobias Sjöblom, Richard Palmqvist, Anders Isaksson et al.
ESMO Gastrointestinal Oncology
Cancer Immunotherapy and Biomarkers
article

Molecular classification of microsatellite-instable colorectal cancers reveals distinct predictors of immunotherapy response

Meng Wu, Tobias Sjöblom, Richard Palmqvist, Anders Isaksson, Kui Wu, Ingrid Ljuslinder, B. Glimelius, Artur Mezheyeuski, Shengzhang Zhu, Mathias Uhlén, Luís Nunes, Tao Luo, Klara Hammarström, Fuqiang Li, Cong Lin
article en

Abstract

Microsatellite-instable (MSI) tumours constitute one-fifth of colorectal cancers (CRCs).However, the MSI CRCs display substantial tumour microenvironment (TME) heterogeneity and variable responses to immunotherapy, necessitating a refined classification to guide personalized therapy.In this study, we analysed whole-genome and transcriptome sequences from 223 MSI CRC patients from a large prospective longitudinal cancer study in Sweden (Nunes L, Li F, Wu M, et al.Prognostic genome and transcriptome signatures in colorectal cancers.Nature.2024;633(8028):137-146) and identified three molecular subclasses with distinct TME and genetic features: class 1a (immune-excluded), characterized by prominent stromal activation, transforming growth factor- signalling, and low tumour neoantigen burdens (TNB); class 1b (immune-infiltrated), marked by intact neoantigen presentation and strong antitumour immunity; and class 2 (immune-cold), exhibiting epithelial features, high tumour mutation burden (TMB) and TNB, chromosomal instability, active metabolism, and a lack of immune activation.We further uncovered a correlation between mutL homolog 1 (MLH1) hypermethylation and the immune-cold phenotype in class 2, where anti-programmed cell death protein 1 (PD-1) and anti-cytotoxic T-lymphocyte-associated protein 4 (CTLA4) combination immunotherapy demonstrated significantly improved efficacy compared with anti-PD-1 monotherapy.Finally, the molecular features of these subclasses were validated in external MSI CRC cohorts and in MSI tumours from other cancers.Our findings offer a comprehensive understanding of the molecular landscape of MSI CRC, unveiling potential molecular mechanisms underlying different tumour-immune phenotypes and laying the foundation for future development of tailored treatment strategies.

ESMO Gastrointestinal OncologyVol. 10
BGI Group (China) (CN), Uppsala University (SE), Oslo University Hospital (NO), Chinese Academy of Sciences (CN), Science for Life Laboratory (SE), Karolinska Institutet (SE), BGI Genomics, KTH Royal Institute of Technology (SE), Umeå University (SE)
Kungliga Tekniska Högskolan, Vetenskapsrådet, Umeå Universitet, Uppsala Universitet, Stockholms Universitet, National Science and Technology Major Project, Uppsala Multidisciplinary Center for Advanced Computational Science
Openalex Percentile: Top 52%
Cancer Immunotherapy and Biomarkers
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.