Evidence map›Paper›PMID 41145647›Full record

ArticleScientific reports2025

m7G-related gene signatures determine prognosis in triple-negative breast cancer.

Yunxiang Li, Xin Lan, Jianqiao Dong, Jing Li, Bin Wang, Yanhong Wang, Hongyan Jia

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. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Yunxiang LiDepartment of Breast Surgery, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.
Xin LanDepartment of First Clinical Medicine, Shanxi Medical University, Taiyuan, China.
Jianqiao DongDepartment of First Clinical Medicine, Shanxi Medical University, Taiyuan, China.
Jing LiDepartment of Breast Surgery, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.
Bin WangDepartment of Breast Surgery, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.
Yanhong WangDepartment of Microbiology and Immunology, School of Basic Medical Sciences, Shanxi Medical University, Taiyuan, Shanxi, China.
Hongyan JiaDepartment of Breast Surgery, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China. swallow_jhy@163.com.

Funding

Open Fund from the Key Laboratory of Cellular Physiology (Shanxi Medical University), Ministry of Education, China CPOF202310Research Project Supported by the Shanxi Scholarship Council of China 2022-119, 2021-157, 2020-077
6 · The paper itself

Abstract

Triple-negative breast cancer (TNBC), which lacks targeted treatment options, continues to pose a major clinical hurdle. This study investigated the molecular complexities of TNBC, with a focus on m7G modifications, the immune microenvironment, and their influence on patient prognosis. An integrated analysis of m7G-related genes facilitated the creation of a risk model based on differentially expressed m7G-related genes, which effectively stratified patients with TNBC into low- and high-risk groups, with the low-risk group demonstrating a marked survival advantage. Immune cell infiltration analysis revealed substantial differences between risk groups, suggesting a potential association between m7G-related risk and immune landscape modulation. Genomic profiling identified distinct mutational patterns, with TP53 mutations predominant in the high-risk group and PIK3CA mutations in the low-risk group. Chemosensitivity analysis indicated the potential for tailored drug responses, highlighting the utility of the m7G-related risk score in guiding personalized therapeutic approaches. Additionally, a nomogram incorporating the risk score, stage, and M stage was developed, providing a valuable tool for predicting 3-, 5-, and 10-year survival probabilities.

Indexed as

Triple Negative Breast NeoplasmsBiomarkers, TumorClass I Phosphatidylinositol 3-KinasesFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMiddle AgedMutationPrognosisTranscriptomeTumor MicroenvironmentTumor Suppressor Protein p53Biomarkers, TumorClass I Phosphatidylinositol 3-KinasesPIK3CA protein, humanTumor Suppressor Protein p53Immune microenvironmentm7G modificationPrognosisTriple-negative breast cancerTumor mutational burden

Identifiers

PMID41145647
PMCPMC12559392

What Socratic holds

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Registered trials

None linked

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 Socratic graph.