Evidence map›Paper›PMID 42109907›Full record

ArticleOpen medicine (Warsaw, Poland)2026

Comprehensive analysis of m6A RNA methylation regulators for prognostic risk stratification and immune microenvironment characterization in colorectal cancer.

Fei-Fei Kong, Jiawei Feng, Jing-Ya Liu, Wen-Yuan Gan, Ling-Jun Zhu

Abstract read
In one paragraph

Article in Open medicine (Warsaw, Poland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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.

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Fei-Fei KongDepartment of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Jiawei FengDepartment of Thyroid Surgery, The Third Affiliated Hospital of Soochow University, Changzhou First People's Hospital, Changzhou, Jiangsu Province, China.
Jing-Ya LiuDepartment of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.ORCID https://orcid.org/0009-0004-4440-0900
Wen-Yuan GanDepartment of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Ling-Jun ZhuDepartment of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.ORCID https://orcid.org/0009-0002-0638-0772

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Despite mounting evidence of N6-methyladenosine (m6A) dysregulation in colorectal cancer (CRC), comprehensive prognostic association analysis remains limited. We systematically investigated m6A modification patterns and developed a robust risk stratification model. Methods: We analyzed 27 m6A regulators in 488 CRC samples and 42 normal controls from TCGA, with external validation in two independent cohorts (n=762). Consensus clustering identified distinct m6A modification patterns. A prognostic risk model incorporating 268 m6A-associated genes was constructed using multivariate Cox regression. Results: 24 of 27 m6A regulators exhibited significant differential expression (p<0.001). Multivariate analysis identified ZC3H13, LRPPRC, and IGFBP3 as independent prognostic factors. The risk model showed exceptional performance across all validation cohorts (HR: 8.59-14.27, p<0.0001), maintaining significance in early-stage patients. High-risk patients exhibited significantly elevated PD-L1 expression levels (p=5.7 × 10 Conclusions: Our findings reveal pervasive m6A dysregulation with superior predictive performance compared to conventional approaches. The links between RNA methylation and tumor immunity establish m6A signatures as actionable biomarkers for precision oncology.

Indexed as

colorectal cancerN6-methyladenosineprognostic modelRNA methylationtumor immunity

Identifiers

PMID42109907
PMCPMC13150367

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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.