Evidence map›Paper›PMID 40753169›Full record

ArticleNPJ systems biology and applications2025

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

Nikita Janakarajan, Guillaume Larghero, María Rodríguez Martínez

Abstract read
In one paragraph

Article in NPJ systems biology and applications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Nikita JanakarajanIBM Research Europe, Rüschlikon, Switzerland. nja@zurich.ibm.com.
Guillaume LargheroD-BSSE, ETH Zürich, Zürich, Switzerland.
María Rodríguez MartínezIBM Research Europe, Rüschlikon, Switzerland. maria.rodriguezmartinez@yale.edu.

Funding

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung CRSII5_193832
6 · The paper itself

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.

Indexed as

Colorectal NeoplasmsCluster AnalysisComputational BiologyDisease-Free SurvivalGene Expression ProfilingHumansPrecision MedicinePrognosisSurvival Analysis

Identifiers

PMID40753169
PMCPMC12318085

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.