Evidence map›Paper›PMID 40683927›Full record

ArticleScientific reports2025

Integrative bioinformatics analysis identifies METTL1 as a regulator of immune infiltration and prognosis in breast cancer.

Xiao-Bin Lin, Yu-Zhi Yao, Hong-Min Ma, Cai-Rong Zhu, Qi-Rong Wen

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. The emerging roles of METTL1-mediated tRNA mFrontiers in immunology · 2025
    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.

Xiao-Bin Lin *Department of Thyroid and Breast Surgery, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510623, Guangdong, China. Xiaobinlin006@163.com.
Yu-Zhi Yao *Department of Thyroid and Breast Surgery, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510623, Guangdong, China.
Hong-Min MaDepartment of Thyroid and Breast Surgery, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510623, Guangdong, China.
Cai-Rong ZhuDepartment of Thyroid and Breast Surgery, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510623, Guangdong, China.
Qi-Rong WenDepartment of gynecology and obstetrics , Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510623, Guangdong, China. chirainwan@gmail.com.

Funding

doctoral start-up fund of Guangzhou Women and Children's Medical Center 1600042-04Guangzhou Municipal Science and Technology Program key projects 202102020182National Natural Science Foundation of China 82103420
6 · The paper itself

Abstract

To explore the role of Methyltransferase-like 1 (METTL1) in the prognosis, diagnosis, and immune infiltration of Breast invasive carcinoma (BRCA), transcriptome data of BRCA from The Cancer Genome Atlas (TCGA) database were analyzed. Then, the METTL1 expression in normal and cancer tissues was compared using the DESeq2 package. Next, the diagnostic and prognostic value of METTL1 was evaluated using receiver operating characteristic curves and survival analysis, respectively. Co-expressed genes and differentially expressed genes related to METTL1 were identified using Pearson correlation and Wilcoxon tests, with overlapping genes subjected to protein-protein interaction network construction to identify hub genes via degree algorithm. After that, immune infiltration analyses were performed using CIBERSORT and xCELL algorithms. METTL1 expression was significantly higher in BRCA tissues compared to normal tissues, with significant diagnostic value. Furthermore, BRCA patients with low METTL1 expression showed better 5-year overall survival and disease specific survival than those with high METTL1 expression. A total of 1829 differentially expressed genes and 236 co-expressed genes were identified, with five hub genes selected. These genes, along with METTL1, were positively associated with immunosuppressive cell types, such as regulatory T cells and follicular helper T cells, suggesting their role in shaping an immunosuppressive tumor microenvironment.

Indexed as

Breast NeoplasmsComputational BiologyMethyltransferasesBiomarkers, TumorFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansPrognosisProtein Interaction MapsTranscriptomeTumor MicroenvironmentBiomarkers, TumorMethyltransferasesBRCAImmune infiltrationMETTL1

Identifiers

PMID40683927
PMCPMC12276251

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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.