Evidence map›Paper›PMID 41526581›Full record

ArticleDiscover oncology2026

A comparative analysis of mutational profiles between triple-negative breast cancer and non-triple-negative breast cancer.

Wanlin Li, Chenchen Feng, Shunheng Zhou

Abstract read
In one paragraph

Article in Discover oncology, 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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0citing papers 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.

2 · The registry

The trial behind it

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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

3 authors.

Wanlin LiSchool of Pharmaceutical Science, Hengyang Medical School, University of South China, Hengyang, 421001, Hunan, China.
Chenchen FengSchool of Computer Science, University of South China, Hengyang, 421001, Hunan, China. fcc20140701@163.com.
Shunheng ZhouSchool of Computer Science, University of South China, Hengyang, 421001, Hunan, China. zhoushunheng@usc.edu.cn.

Funding

National Natural Science Foundation of China 62401250Natural Science Foundation of Hunan Province 2025JJ50105Scientific research Project of the Education Department of Hunan Province 23B0418Scientific research Project of the Education Department of Hunan Province 24B0417
6 · The paper itself

Abstract

objectiveAmong breast cancer subtypes, triple-negative breast cancer (TNBC) is associated with the poorest prognosis and currently lacks effective targeted therapies. While gene mutation profiling provides valuable insights into recurrent mutations and genomic heterogeneity, the comparative mutational characteristics distinguishing TNBC from non-TNBC tumors have not been comprehensively investigated. This study aims to elucidate these differences through a systematic comparative analysis.

methodsWe retrieved clinical data and somatic mutation profiles of 704 breast cancer patients from The Cancer Genome Atlas (TCGA) database. Based on hormone receptor expression status, the breast cancer samples were stratified into TNBC cohort (n = 109) and non-TNBC cohort (n = 595). Comprehensive genomic analysis was performed to compare differences in mutational profiles between the two cohorts, including differential frequencies of recurrent mutations, interaction patterns of co-occurring and mutually exclusive mutations, driver genes, decomposition of mutational signatures using the Catalogue of Somatic Mutations in Cancer (COSMIC) database, and pathway enrichment of significantly altered genes.

resultsCompared to the non-TNBC cohort, the TNBC patients had a younger age at onset. Significant differences were observed in the mutation rate of TP53 (81% vs. 27%, p < 2.2 × 10

conclusionsOur study delineates the distinct genomic mutational landscapes between TNBC and non-TNBC cohorts, and reveals somatic interactions, driver genes, mutational signatures and pathway enrichment. These findings highlight the distinct molecular features of TNBC, which may contribute to its aggressive clinical behavior.

Indexed as

Driver geneGenomic characteristicMutation signatureOncogenic pathwayTriple-negative breast cancer

Identifiers

PMID41526581
PMCPMC12886618

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.