Evidence map›Paper›PMID 40959565›Full record

ArticleInternational journal of medical sciences2025

A Machine Learning-Based Hypoxia-Related Gene Signatures to Facilitate Prediction of Cetuximab Response in Patients with Colorectal Cancer.

Cuizhen Zhang, Wanjie Niu, Jiangtao Zhang, Yingyi Zheng, Zhiru Chen, Fali Zhang, Xiaoyan Qiu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of medical sciences, 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

7 authors.

Cuizhen ZhangDepartment of Pharmacy, Huashan Hospital, Fudan University, 12 Middle Urumqi Road, Shanghai, 200040, China.
Wanjie NiuDepartment of Pharmacy, Huashan Hospital, Fudan University, 12 Middle Urumqi Road, Shanghai, 200040, China.
Jiangtao ZhangKey Laboratory of Big Data Intelligent Computing, Chongqing University of Posts and Telecommunications, Chongqing, 400065, China.
Yingyi ZhengDepartment of Pharmacy, Huashan Hospital, Fudan University, 12 Middle Urumqi Road, Shanghai, 200040, China.
Zhiru ChenDepartment of Pharmacy, The Affiliated Guangdong Second Provincial General Hospital of Jinan University, 466 Middle Xingang Road, Guangzhou, 510317, China.
Fali ZhangDepartment of Pharmacy, Huashan Hospital, Fudan University, 12 Middle Urumqi Road, Shanghai, 200040, China.
Xiaoyan QiuDepartment of Pharmacy, Huashan Hospital, Fudan University, 12 Middle Urumqi Road, Shanghai, 200040, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Biomarkers, TumorCetuximabColorectal NeoplasmsMachine LearningAntineoplastic Agents, ImmunologicalDatabases, GeneticGene Expression ProfilingGene Expression Regulation, NeoplasticHumansKaplan-Meier EstimatePrognosisTranscriptomeTreatment OutcomeTumor MicroenvironmentAntineoplastic Agents, ImmunologicalBiomarkers, TumorCetuximabcetuximabcolorectal cancerhypoxia-related genesK-nearest neighborsmachine learning models

Identifiers

PMID40959565
PMCPMC12434828

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.