Evidence map›Paper›PMID 40210889›Full record

ArticleScientific reports2025

Genetically druggable targets for MAPK-activated colorectal cancer by a two-sample mendelian randomization analysis.

Yuxuan Zhou, Yunlong Ding, Bangyue Xu, Hongyang Fei, Zheng Wang

Abstract read
In one paragraph

Article in Scientific reports, 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

5 authors.

Yuxuan ZhouDepartment of Gastrointestinal Surgery/Hernia Surgery, Jilin Province People's Hospital, No. 1183 Gongnong Road, Changchun, Jilin, China.
Yunlong DingDepartment of Emergency General Surgery, Weifang People's Hospital, Weifang, Shandong, China.
Bangyue XuJilin Central General Hospital, Changchun, Jilin, China.
Hongyang FeiDepartment of Hepatobiliary and Pancreatic Surgery, Jilin Province People's Hospital, No. 1183 Gongnong Road, Changchun, Jilin, China.
Zheng WangDepartment of Gastrointestinal Surgery/Hernia Surgery, Jilin Province People's Hospital, No. 1183 Gongnong Road, Changchun, Jilin, China. 15044134868@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colorectal cancer (CRC) is a significant worldwide health issue, ranking second in women and third in men. Predictions estimate a rise to 2.5 million cases by 2035, with CRC being the fourth deadliest cancer due to delayed diagnosis and the scarcity of effective treatment options. Over 60% of CRC cases involve MAPK-activated signal pathways, particularly driven by RAS oncogene mutations, which hinder treatment responses, making them 'undruggable.' This study conducts a two-sample Mendelian randomization protein quantitative trait loci (pQTL) analysis to investigate the causal association between plasma proteins and MAPK-activated CRCs. The study indicates that four plasma proteins-MHC class I polypeptide-related sequence B (MICB), complement C4A, C4B, and interleukin-21 (IL-21) are associated with an increased risk of MAPK-activated CRCs. These findings highlight the possibility of utilizing plasma proteins as therapeutic targets and diagnostic markers to advance the fight against CRCs, indicating promising results for more effective interventions. To ascertain and expand upon these discoveries, further research is imperative to fully harness the potential of these discoveries.

Indexed as

Colorectal NeoplasmsMAP Kinase Signaling SystemMendelian Randomization AnalysisMitogen-Activated Protein KinasesFemaleGenetic Predisposition to DiseaseHumansMaleQuantitative Trait LociMitogen-Activated Protein Kinases

Identifiers

PMID40210889
PMCPMC11986099

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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.