Evidence map›Paper›PMID 41926029›Full record

ArticleApplied biochemistry and biotechnology2026

Identification and Validation of the Breast Cancer Diagnostic Biomarker SVEP1 and Its Relationship With CD8 + T Cell Activation Using Bioinformatics and Machine Learning.

Yaojun Song, Baoya Wang, Shanshan Liu, Wenjuan Yan, Yanru Fan

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Article in Applied biochemistry and biotechnology, 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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5 · Who and what money

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5 authors.

Yaojun SongDepartment of Laboratory, Henan Provincial People's Hospital, No. 10 Chenxu Road, Jinshui District, zhengzhou, 450000, Henan, China. songyaojun0606@163.com.
Baoya WangDepartment of Laboratory, Henan Provincial People's Hospital, No. 10 Chenxu Road, Jinshui District, zhengzhou, 450000, Henan, China.
Shanshan LiuDepartment of Laboratory, Henan Provincial People's Hospital, No. 10 Chenxu Road, Jinshui District, zhengzhou, 450000, Henan, China.
Wenjuan YanDepartment of Laboratory, Henan Provincial People's Hospital, No. 10 Chenxu Road, Jinshui District, zhengzhou, 450000, Henan, China.
Yanru FanDepartment of Laboratory, Henan Provincial People's Hospital, No. 10 Chenxu Road, Jinshui District, zhengzhou, 450000, Henan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer (BC) is a malignant disease with high mortality. Sushi, von Willebrand factor type A, EGF and pentraxin domain containing 1 (SVEP1) has been reported to exert tumor-suppressive effects in various cancers when overexpressed; nevertheless, its role in BC development remains unknown. The Cancer Genome Atlas (TCGA) and ImmPort were mined for BC differentially expressed genes; machine learning plus single gene set enrichment analysis (GSEA) nominated SVEP1 and its pathways. Tumor Immune Estimation Resource (TIMER) and receiver operating characteristic (ROC) analyses tested SVEP1 as a biomarker and its association with CD8+ T cell infiltration. qPCR and Western blot quantified cellular SVEP1; Western blot, ELISA and EdU assays measured CD8+ T cell granzyme B (GzmB) and Cluster of Differentiation 69 (CD69) levels, IFN-γ/TNF-α/IL-2 secretion and proliferation. CCK8, flow cytometry and Transwell assays tracked BC cell viability, apoptosis, cycle, migration and invasion, and a xenograft model assessed the tumorigenicity of SVEP1-overexpressing cells. A total of 231 differentially expressed genes were identified by analyzing TCGA and ImmPort datasets. Machine-learning algorithms were then applied to intersect the results, yielding three potential candidates: SVEP1, CXC motif chemokine ligand 2 (CXCL2), and enhancer of zeste homolog 2 (EZH2). Single-gene GSEA revealed that SVEP1 was enriched in pathways such as reactome cell cycle checkpoints and reactome membrane traffic. SVEP1 was expressed at low levels in BC. Its overexpression increased the levels of GzmB, CD69, IFN-γ, TNF-α and IL-2 in CD8+ T cells, reduced BC cell viability, promoted apoptosis, and suppressed migration and invasion. Moreover, tumor volume and weight, along with Ki-67 expression, were all significantly decreased in mouse models. These findings demonstrated that SVEP1 is downregulated in BC; restoring its expression promoted CD8+ T cell activation and suppressed BC progression, indicating that SVEP1 perhaps serve as both a diagnostic biomarker and a potential therapeutic target.

Indexed as

Biomarkers, TumorBreast NeoplasmsCD8-Positive T-LymphocytesCell Adhesion MoleculesComputational BiologyLymphocyte ActivationMachine LearningAnimalsCD69 AntigensCell Line, TumorFemaleGene Expression Regulation, NeoplasticHumansMiceBiomarkers, TumorCD69 AntigensCell Adhesion MoleculesBreast cancerCluster of differentiation 8-positive T cellsmachine learningSushivon Willebrand factor type A, EGF and pentraxin domain containing 1

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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.