Evidence map›Paper›PMID 40387276›Full record

SynthesisCancer reports (Hoboken, N.J.)2025

Colorectal Cancer Risk Loci: Prognostic Factors for Clinical Outcomes? A Systematic Review and Meta-Analysis.

Chengmi Wu, Jingyi Zhou, Qian Wu, Shu Xu, Jie Jiang, Sha Li, Xuechen Chen

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Cancer reports (Hoboken, N.J.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
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.

Chengmi WuCollege of Pharmacy, Jinan University, Guangzhou, China.
Jingyi ZhouCollege of Pharmacy, Jinan University, Guangzhou, China.
Qian WuCollege of Pharmacy, Jinan University, Guangzhou, China.
Shu XuDepartment of Oncology, Shenzhen Guangming District People's Hospital, Shenzhen, China.
Jie JiangCollege of Pharmacy, Jinan University, Guangzhou, China.
Sha LiCollege of Pharmacy, Jinan University, Guangzhou, China.
Xuechen ChenCollege of Pharmacy, Jinan University, Guangzhou, China.

Funding

Fundamental Research Funds for the Central Universities 21624353
6 · The paper itself

Abstract

backgroundSeveral single nucleotide polymorphisms (SNPs) identified through genome-wide association studies (GWASs) on colorectal cancer (CRC) incidence are also shown as promising predictors of clinical outcomes in CRC patients. These genetic variants might help inform precision prognostic strategies by predicting disease progression, treatment response, and overall survival, thereby guiding more personalized treatment plans. However, conflicting evidence exists regarding their clinical relevance.

aimA systematic review and meta-analysis was performed to assess the potential of GWAS-identified SNPs in predicting CRC outcomes. METHODS AND

resultsWe conducted a comprehensive search of PubMed, Web of Science, Embase, and Cochrane databases up to 18 October 2024 for prospective studies that investigated the associations of CRC-related SNPs and polygenic risk scores (PRSs) built based on multiple SNPs with clinical outcomes. Quality of the included studies was assessed using the Newcastle-Ottawa Scale, and the heterogeneity was assessed by I

conclusionsIndividual genetic variants and PRSs are predictive of CRC survival, and might serve as potential factors for risk stratification, which could help develop personalized treatment and surveillance strategies for CRC patients. However, the potential for false positives and the significant heterogeneity among studies that cannot be fully addressed in the current analysis due to limited data require a cautious interpretation of these findings. Large-scale studies are warranted to further explore and validate GWAS-identified SNPs for promising prognostic biomarkers in CRC patients while accounting for factors such as ethnic differences and tumor subtypes.

Indexed as

Biomarkers, TumorColorectal NeoplasmsPolymorphism, Single NucleotideGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansPrognosisRisk FactorsBiomarkers, Tumorclinical outcomecolorectal cancerpolygenic risk scoresingle nucleotide polymorphismssurvival

Identifiers

PMID40387276
PMCPMC12931425

What OpenQuestion holds

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Registered trials

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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.