Evidence map›Paper›PMID 40134826›Full record

ArticleAmerican journal of clinical and experimental immunology2025

Identification of immune infiltration-related ZNF480 for predicting prognosis in breast cancer.

Tong Zhou, Yanqiu Zhang, Jun Cao, Qingqin Tang, Yuting Liang, Sheng Zhang, Mengyuan Hu, Bin Feng, Jieyu Jin

Abstract read
In one paragraph

Article in American journal of clinical and experimental immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Tong ZhouCenter for Clinical Laboratory, The First Affiliated Hospital of Soochow University Suzhou, Jiangsu, The People's Republic of China.
Yanqiu ZhangInstitute of Clinical Pharmacology, Anhui Medical University, Key Laboratory of Anti-inflammatory and Immune Medicine, Ministry of Education, Anhui Collaborative Innovation Center of Anti-inflammatory and Immune Medicine Hefei, Anhui, The People's Republic of China.
Jun CaoCenter for Clinical Laboratory, The First Affiliated Hospital of Soochow University Suzhou, Jiangsu, The People's Republic of China.
Qingqin TangCenter for Clinical Laboratory, The First Affiliated Hospital of Soochow University Suzhou, Jiangsu, The People's Republic of China.
Yuting LiangCenter for Clinical Laboratory, The First Affiliated Hospital of Soochow University Suzhou, Jiangsu, The People's Republic of China.
Sheng ZhangCenter for Clinical Laboratory, The First Affiliated Hospital of Soochow University Suzhou, Jiangsu, The People's Republic of China.
Mengyuan HuCenter for Clinical Laboratory, The First Affiliated Hospital of Soochow University Suzhou, Jiangsu, The People's Republic of China.
Bin FengCenter for Clinical Laboratory, The First Affiliated Hospital of Soochow University Suzhou, Jiangsu, The People's Republic of China.
Jieyu JinCenter for Clinical Laboratory, The First Affiliated Hospital of Soochow University Suzhou, Jiangsu, The People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBreast cancer is one of the most common cancers in women with high morbidity and mortality. ZNF480, a member of the KRAB-ZNFs family, correlates with cancer progression. However, its role in the development and progression of breast cancer remains unclear.

methodsWe utilized transcriptomic and clinical data from The Cancer Genome Atlas (TCGA) and Genotype Tissue Expression (GTEx) databases of breast cancer patients to investigate the potential pro-cancer role of ZNF480, including differential expression of ZNF480 in breast cancer, prognostic value, clinicopathological features, immune cell infiltration relevance and function enrichment analysis.

resultsOur results indicate that ZNF480 is upregulated in breast cancer and is correlations with survival, clinical stage, race and tumor subtype in breast cancer patients. Additionally, immune infiltration analysis revealed significant negative correlations between ZNF480 expression and multiple tumor infiltrating immune cells, including aDC, B cells, CD8 T cells, Cytotoxic cells, DC, iDC, Macrophages, Neutrophils, NK CD56bright cells, NK CD56dim cells, NK cells, pDC, T cells, Tem, TFH and Th1 cells, whereas a significant positive correlation was observed with the infiltration of T helper cells, Tcm, Tgd and Th2 cells. Furthermore, functional enrichment analysis indicated that ZNF480 may be involved in Angiogenesis, Allograft rejection, TNFα signaling via NFκB, Coagulation, IL6 Jak STAT3 signaling, Inflammatory response, Interferon gamma response and other processes.

conclusionZNF480 is highly expressed in breast cancer and correlates with immune cell infiltration, and may be a candidate prognostic biomarker, which may assist in breast cancer treatment.

Indexed as

bioinformaticsbreast cancerimmune infiltrationprognosisZNF480

Identifiers

PMID40134826
PMCPMC11932063

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