Janakarajan Nikita, Larghero Guillaume, Rodríguez Martínez María
IBM Research Europe, Rüschlikon, Switzerland.
D-INFK, ETH Zürich, Zürich, Switzerland.
NPJ Syst Biol Appl. 2025 Aug 2;11(1):86. doi: 10.1038/s41540-025-00557-3.
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.
在生存方面，结直肠癌（CRC）受益于基于多组学的分层。我们基于TCGA的研究采用靶向特征选择和无监督聚类，根据疾病特异性生存对患者进行分层，识别出单峰数据或既定的共识分子亚型无法检测到的无事件亚组。方差分析和基因集富集分析，再结合各聚类的临床特征分析，揭示了支持CRC中多组学驱动的精准医学的研究结果。
