Work

From clusters to clinic: An 8-gene signature combined with mucinous component stratifies benefit of anti-CTLA-4 addition to anti-PD-1 in dMMR/MSI-H metastatic colorectal cancer

Year: 2026
Type: article
Abstract: Background Around 15-50% of patients with dMMR/MSI-H metastatic colorectal cancer (mCRC) experience primary and secondary resistance to immune checkpoint inhibitors (ICI). We previously described three transcriptomic clusters (A, B, C) linked to progression-free survival (PFS), with cluster A ("Stromal HIGH – Proliferation LOW" ) associated with the shortest PFS. Here we combine gene signature and mucinous phenotype to predict the benefit from anti-CTLA-4 plus anti-PD-1. Methods We used 3'RNA-sequencing data from pre-treatment samples of two independent cohorts of patients with dMMR/MSI-H mCRC treated with anti-PD-1±anti-LAG-3 ("Mono") or anti-PD-1+anti-CTLA-4 ("Combo"). A rank-based k-Top Scoring Pairs (k-TSP) classifier was trained in Cohort 1 (103 patients) to predict assignment to Cluster A versus B/C and validated in Cohort 2 (87 patients). Patients receiving an anti-PD-L1 and with ECOG ≥2 were excluded. We defined a composite stratum crossing Cluster k-TSP (A vs B/C) with mucinous component (present vs absent). Results Cluster A was enriched for mucinous tumors and had shorter PFS in both cohorts. The k-TSP selected four gene pairs predictive of Cluster A (YPEL2>H2AZ1, H6PD>COX7A2, STAT5B>SNRPE, ZHX3>TRAPPC4) and was validated in Cohort 2 with 68.1% balanced accuracy. In the pooled population (163 patients), the composite stratum × treatment interaction improved model fit (likelihood-ratio p≈0.04). Patients with Cluster k-TSP A + mucinous (25/163, 15.3%) derived advantage from Combo versus Mono: adjusted 24-month PFS 72.2% vs 13.8% (HR 0.10, 95% CI 0.02–0.39; p<0.001). Conclusions An 8-Gene signature combined with mucinous component identifies a subgroup that preferentially benefits from anti-PD-1+CTLA-4, warranting prospective validation to guide regimen selection in dMMR/MSI-H mCRC.
Language: English
Subfield: Oncology
Field: Medicine
Open Access status: hybrid
Estimated APC paid: $4,270
OpenAlex ID: W7149947797
FWCI: 2.751
Cites: 24
Cited by: 1
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