Evidence map›Paper›PMID 40796957›Full record

ArticleScientific reports2025

Immune microenvironment and prognostic genes of triple-negative breast cancer in the context of transcriptome and single-cell sequencing.

Xiangqin Huang, Wei Chen, Zhiwu Lin, Hui Zhang, Ruijuan Wang, Cailing Lin

Abstract read
PubMed Full text at PMC Publisher
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

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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

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

6 authors.

Xiangqin HuangDepartment of Breast Surgery, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, China.
Wei ChenDepartment of Breast Surgery, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, China.
Zhiwu LinDepartment of Breast Surgery, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, China.
Hui ZhangDepartment of Breast Surgery, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, China.
Ruijuan WangDepartment of Breast Surgery, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, China.
Cailing LinDepartment of Breast Surgery, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, China. 395728397@qq.com.ORCID https://orcid.org/0000-0002-7777-3023

Funding

Natural Science Foundation of Fujian Province No.2024J011649
6 · The paper itself

Abstract

Immune-related genes (IRGs) play a pivotal role in the tumor microenvironment of triple-negative breast cancer (TNBC). This study aimed to uncover novel prognostic markers for TNBC based on IRGs. Differential expression analysis, univariate Cox regression, and machine learning algorithms identified BPI, GPHA2, KIR3DL3, MASP1, RASGRP1, and SEMA4A as potential prognostic genes. A random survival forest (RSF) model was developed and subsequently validated, alongside the creation of a prognostic nomogram to assess gene diagnostic performance. Further, epithelial cells, fibroblasts, and T cells were recognized as the primary cell types through which RASGRP1 exerts its effects. Finally, an analysis of the immune microenvironment and drug predictions provided fresh insights for the treatment of TNBC.

Indexed as

TranscriptomeTriple Negative Breast NeoplasmsTumor MicroenvironmentBiomarkers, TumorFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansPrognosisSingle-Cell AnalysisBiomarkers, TumorCrucial cellsImmune-related genesPrognostic genesSingle-cell RNA sequencing dataTriple-negative breast cancer

Identifiers

PMID40796957
PMCPMC12343808

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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.