Evidence map›Paper›PMID 40493298›Full record

ArticleDiscover oncology2025

TCF19 expression and significance analysis in breast cancer: integrated bioinformatics analysis and histological validation.

Haiyang Yu, Jingjing Wei, Qinhao Chen, Yueyin Pan, Xiaojun Qian, Jing Pan, Yubei Sun

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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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

7 authors.

Haiyang Yu *Department of Oncology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China.
Jingjing Wei *Department of Pathology, School of Basic Medical Sciences, Anhui Medical University, Hefei, China.
Qinhao Chen *Department of Electrocardiogram, The 901st Hospital of the Joint Logistics Support Force of the Chinese People's Liberation Army, Hefei, China.
Yueyin PanDepartment of Oncology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China.
Xiaojun QianDepartment of Oncology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China.
Jing PanDepartment of Oncology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China. jingpandoc@126.com.
Yubei SunDepartment of Oncology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China. sunyubei@ustc.edu.cn.

Funding

Anhui Province Cancer Bioimmunotherapy Clinical Medical Research Center 202101B10202005Beijing Science and Technology Innovation Medical Development Foundation Project KC2021-JF-0167-23Breast cancer precision tumor research and innovation team 2022AH010077National Key Clinical Specialty Construction Project 2021 Oncology 2021GJLC01National Natural Science Funds of China 82172775
6 · The paper itself

Abstract

backgroundTranscription factor 19 (TCF19) is an important member of the transcription factor family, but its role in cancer is not well understood. This study aims to clarify the function of TCF19 and explore its mechanisms across various cancers, with a specific focus on breast cancer, using bioinformatics analysis and histological validation.

methodsGene expression profiles and clinical data were obtained from sources like The Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO), and Genotype-Tissue Expression (GTEx) for bioinformatics analysis. Tumor-immune interactions were studied using the TISIDB database for immune-related insights. To confirm these findings, TCF19 expression was measured using quantitative RT-PCR, immunohistochemistry (IHC), and western blot assays. Additional validation was done with various experimental techniques, including CCK-8, colony-forming, transwell, and cell line-derived xenograft assays.

resultsTCF19 is significantly upregulated in many cancerous tissues, including breast cancer, as confirmed across multiple datasets and clinical samples. Higher TCF19 levels were associated with a poorer prognosis. Experimentally reducing TCF19 expression in MCF-7 cells impaired key cellular functions such as proliferation, invasion, migration, and tumor formation. Pathway enrichment analysis of TCGA samples revealed a strong link between TCF19 and the PLK1 pathway, a finding further supported by western blot results showing PLK1 downregulation following TCF19 silencing.

conclusionsHigh TCF19 expression is closely linked to poorer outcomes, especially in breast cancer. These findings highlight TCF19 as a promising biomarker with broad potential applications in cancer diagnosis and prognosis.

Indexed as

BRCAPLK1PrognosisProliferationTCF19

Identifiers

PMID40493298
PMCPMC12151946

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