Evidence map›Paper›PMID 41021168›Full record

ArticleDiscover oncology2025

Identification and prognostic significance of Ki-67-related genes in triple negative breast cancer.

Wenhan Li, Dan Chen, Jianhui Li

Abstract read
In one paragraph

Article in Discover oncology, 2025. 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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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

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Wenhan Li *Department of Surgical Oncology, Shaanxi Provincial People's Hospital, No. 256 Yanta West Road, Xi'an, 710068, Shaanxi, China.
Dan Chen *Department of Medical Oncology, Baoji Central Hospital, Baoji, China.
Jianhui LiDepartment of Surgical Oncology, Shaanxi Provincial People's Hospital, No. 256 Yanta West Road, Xi'an, 710068, Shaanxi, China. Dr_jianhuili@hotmail.com.

Funding

Clinical Medicine Research Center in Shaanxi Province S2021-0-ZC-LCZX-0002Key Research and Development plan of Shaanxi Province 2019ZDLSF03-05Scientific and Technological Personnel Support Program of Shaanxi Provincial People's Hospital 2021LJ-07Shaanxi Province Health Scientific Research and Innovation Capacity Enhancement Program 2024TD-01
6 · The paper itself

Abstract

objectiveThis study was aimed to screen and validate key genes associated with Ki-67 expression and evaluate their prognostic significance in patients with triple-negative breast cancer (TNBC). METHODS AND

resultsRNA sequencing data and clinical characteristics were obtained from the Fudan University Shanghai Cancer Center (FUSCC) database. A Cox regression model and bioinformatic analyses were employed to identify Ki-67-related prognostic genes. Candidate genes were further validated using the Kaplan-Meier Plotter database and patient specimens from our medical center. A total of 241 differentially expressed genes between high and low Ki-67 expression groups were initially identified through Gene Ontology functional analysis and Kyoto Encyclopedia of Genes and Genomes pathway enrichment. Further analysis revealed that CCNA2, a Ki-67-related gene, was an independent risk factor for overall survival. Patients with high-risk scores exhibited significantly higher mortality rates than those with low-risk scores. Moreover, immunohistochemistry analysis showed that high CCNA2 protein expression was significantly associated with histological grade and recurrence or metastasis within 3 years after surgery (all P < 0.05).

conclusionsCCNA2 overexpression may contribute to tumorigenesis and serve as a potential prognostic biomarker indicating poor outcomes in TNBC.

Indexed as

CCNA2Ki-67PrognosisTriple-negative breast cancer

Identifiers

PMID41021168
PMCPMC12480289

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