Evidence map›Paper›PMID 40658117›Full record

ArticleClinical and experimental medicine2025

Exploring SERTAD4 as a prognostic biomarker and therapeutic target in breast cancer: insights from multidatabase analyses and in vitro studies.

Yuan Chang, Yilun Li, Xiaolu Yang, Peng Zhang, Xiaolong Li, Li Ma

Abstract read
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Article in Clinical and experimental medicine, 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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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Yuan ChangDepartment of Breast Disease Center, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050000, Hebei, People's Republic of China.
Yilun LiDepartment of Breast Disease Center, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050000, Hebei, People's Republic of China.
Xiaolu YangDepartment of Breast Disease Center, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050000, Hebei, People's Republic of China.
Peng ZhangDepartment of Breast Disease Center, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050000, Hebei, People's Republic of China.
Xiaolong LiDepartment of Breast Surgery, Shijiazhuang Obstetrics and Gynecology Hospital, Shijiazhuang, 050000, Hebei, People's Republic of China.
Li MaDepartment of Breast Disease Center, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050000, Hebei, People's Republic of China. 47500562@hebmu.edu.cn.

Funding

Innovation Team Support Program of the Fourth Hospital of Hebei Medical University 2023B01
6 · The paper itself

Abstract

Breast cancer (BC) is the most common malignant tumor in women worldwide, and exploring new therapeutic targets is a great challenge for BC. SERTA domain containing 4 (SERTAD4) is a member of the SERTAD family, also known as Trip-Br or SEI proteins. The current biological function of SERTAD4 and its role in BC are unclear. The TNMplot, GEPIA2, HPA, TCGA, and Kaplan-Meier Plotter databases and clinical BC samples were used to analyze SERTAD4 expression-clinical correlations in BC. Single-cell sequencing data for BC were obtained from the GEO database to explore the expression, cellular localization, and biological function of SERTAD4 in BC. Additionally, the in vitro effects of siRNA knockdown of SERTAD4 on BC cells were investigated. The TNMplot and GEPIA2 databases indicate that SERTAD4 is upregulated in BC. The HPA database reveals that SERTAD4 protein is primarily localized in the cytoplasm. Analysis of TCGA data demonstrates a negative correlation between SERTAD4 expression and both estrogen receptor (ER) and progesterone receptor (PR) status. These database-derived patterns were consistently observed in our clinical cohort of BC specimens. The Kaplan-Meier Plotter database suggests that high SERTAD4 expression is associated with poor prognosis in BC. Single-cell analysis shows that SERTAD4 is predominantly expressed in epithelial cell subsets, with its expression level correlating with the degree of copy number variation (CNV). Functional enrichment analyses indicate that SERTAD4 can regulate the proliferation and adhesion of epithelial cells and is linked to the PI3K/AKT signaling pathway. In vitro knockdown of SERTAD4 inhibits the migration, invasion, and proliferation of BC cells, accompanied by downregulation of PI3K and AKT protein expression. Molecular docking and Co-immunoprecipitation (Co-IP) analyses revealed an interaction between SERTAD4 and PI3K. The upregulated expression of SERTAD4 in BC is associated with the prognosis of BC and is a potential prognostic factor and therapeutic target for BC.

Indexed as

Biomarkers, TumorBreast NeoplasmsCell Line, TumorCell MovementCell ProliferationFemaleGene Expression Regulation, NeoplasticHumansKaplan-Meier EstimatePrognosisBiomarkers, TumorBreast cancer (BC)PrognosisSERTA domain containing 4 (SERTAD4)Single-cell sequencing (scRNA-seq)Therapeutic target

Identifiers

PMID40658117
PMCPMC12259730

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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.