Evidence map›Paper›PMID 40040720›Full record

ArticleFrontiers in oncology2025

Identification and functional characterization of m1A-related genes in colorectal cancer: implications for prognosis, immune infiltration, and therapeutic strategies.

Lan Sun, Liwei Huangfu, Fang Li, Yuhui Yan, Ruiping Kong, Kun Ji, Jiachun Li

Abstract read
In one paragraph

Article in Frontiers in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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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

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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.

2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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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.

Lan SunDepartment of Pharmaceutical Engineering, Jiangsu Food and Pharmaceutical Science College, Huaian, Jiangsu, China.
Liwei HuangfuDepartment of Pharmaceutical Engineering, Jiangsu Food and Pharmaceutical Science College, Huaian, Jiangsu, China.
Fang LiState Key Laboratory of New-tech For Chinese Medicine Pharmaceutic Process, Jiangsu Kanion Pharmaceutical Co., Ltd., Lianyungang, Jiangsu, China.
Yuhui YanDepartment of Pharmaceutical Engineering, Jiangsu Food and Pharmaceutical Science College, Huaian, Jiangsu, China.
Ruiping KongDepartment of Pharmaceutical Engineering, Jiangsu Food and Pharmaceutical Science College, Huaian, Jiangsu, China.
Kun JiDepartment of Pharmaceutical Engineering, Jiangsu Food and Pharmaceutical Science College, Huaian, Jiangsu, China.
Jiachun LiDepartment of Grain and Food Pharmacy, Jiangsu Vocational College of Finance and Economics, Huaian, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Colorectal cancer (CRC), characterized by its complex genetic heterogeneity and varied responses to treatment, is a leading cause of cancer-related mortality worldwide. The role of N1-methyladenosine (m1A)-related genes in tumor biology remains underexplored. This study aimed to investigate the prognostic value of m1A-related genes in CRC, characterize their role in tumor molecular subtyping, and explore their influence on the tumor microenvironment (TME) and immune infiltration. Methods: To identify prognostic markers, univariate Cox analysis was performed using multiple datasets, including TCGA and GEO, identifying 43 m1A-related genes. Four distinct molecular subtypes of CRC were defined based on the expression of these genes using non-negative matrix factorization (NMF). Immune infiltration analysis was conducted, and the TIDE algorithm was used to predict response to immune checkpoint inhibitors (ICIs). Furthermore, a prognostic model based on m1A-related genes was constructed and validated across multiple datasets. Results: The results demonstrated that the four CRC molecular subtypes exhibited significant differences in survival outcomes and clinical characteristics. Stromal cells showed higher m1A scores, suggesting a regulatory role in the TME. There was a positive correlation between m1A-related gene expression and immune checkpoint genes. Moreover, the constructed prognostic model showed robust predictive performance and outperformed other recently published models. Discussion: The findings suggest that m1A-related genes are not only valuable biomarkers for CRC prognosis but also have significant implications for the immune landscape and could serve as potential targets for therapeutic intervention, particularly in the context of immunotherapy. For instance, SLC12A2 was found to enhance invasion, proliferation, and migration of colorectal cancer cells while inhibiting apoptosis. Further studies are needed to understand the functional roles of m1A modifications across different cell types within the TME.

Indexed as

colorectal cancer (CRC)immune infiltrationm1A-related genesprognostic modeltumor microenvironment (TME)

Identifiers

PMID40040720
PMCPMC11876182

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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.