Work

Multi-modal clustering reveals event-free patient subgroup in colorectal cancer survival

Year: 2025

Type: article

Abstract: Colorectal cancer (CRC) benefits from a multi-omics-based stratification in the context of survival. Our TCGA-based study employs targeted feature selection and unsupervised clustering to stratify patients based on disease-specific survival, identifying an event-free subgroup undetectable with unimodal data or established consensus molecular subtypes. An analysis of variance and gene set enrichment coupled with clinical characterisation of the clusters reveal findings that support multi-omics-driven precision medicine in CRC.

Source: npj Systems Biology and Applications

DOI: 10.1038/s41540-025-00557-3

Authors: Nikita Janakarajan, Guillaume Larghero, María Rodríguez Martínez

Institutions: ETH Zurich, IBM Research - Zurich

Language: English

Topic: Colorectal Cancer Treatments and Studies

Subfield: Oncology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $3,490