Multi-modal clustering reveals event-free patient subgroup in colorectal cancer survival
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 w...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-08-01
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| Series: | npj Systems Biology and Applications |
| Online Access: | https://doi.org/10.1038/s41540-025-00557-3 |
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| _version_ | 1849332373638873088 |
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| author | Nikita Janakarajan Guillaume Larghero María Rodríguez Martínez |
| author_facet | Nikita Janakarajan Guillaume Larghero María Rodríguez Martínez |
| author_sort | Nikita Janakarajan |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-fe015c1493af4c6e8f6cfa090be612cf |
| institution | Kabale University |
| issn | 2056-7189 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | npj Systems Biology and Applications |
| spelling | doaj-art-fe015c1493af4c6e8f6cfa090be612cf2025-08-20T03:46:12ZengNature Portfolionpj Systems Biology and Applications2056-71892025-08-011111710.1038/s41540-025-00557-3Multi-modal clustering reveals event-free patient subgroup in colorectal cancer survivalNikita Janakarajan0Guillaume Larghero1María Rodríguez Martínez2IBM Research EuropeD-BSSE, ETH ZürichIBM Research EuropeAbstract 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.https://doi.org/10.1038/s41540-025-00557-3 |
| spellingShingle | Nikita Janakarajan Guillaume Larghero María Rodríguez Martínez Multi-modal clustering reveals event-free patient subgroup in colorectal cancer survival npj Systems Biology and Applications |
| title | Multi-modal clustering reveals event-free patient subgroup in colorectal cancer survival |
| title_full | Multi-modal clustering reveals event-free patient subgroup in colorectal cancer survival |
| title_fullStr | Multi-modal clustering reveals event-free patient subgroup in colorectal cancer survival |
| title_full_unstemmed | Multi-modal clustering reveals event-free patient subgroup in colorectal cancer survival |
| title_short | Multi-modal clustering reveals event-free patient subgroup in colorectal cancer survival |
| title_sort | multi modal clustering reveals event free patient subgroup in colorectal cancer survival |
| url | https://doi.org/10.1038/s41540-025-00557-3 |
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