Evidence map›Paper›PMID 40413298›Full record

ArticleDiscover oncology2025

Identification of circulating tumor cells marker genes as prognostic signature in triple-negative breast cancer.

Jia Hu, Kai-Ming Zhang, Xi Wang

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

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Jia HuDepartment of Breast Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, SunYat-sen University Cancer Center, Guangzhou, 510060, China.
Kai-Ming ZhangDepartment of Breast Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, SunYat-sen University Cancer Center, Guangzhou, 510060, China.
Xi WangDepartment of Breast Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, SunYat-sen University Cancer Center, Guangzhou, 510060, China. wangxi@sysucc.org.cn.

Funding

National Natural Science Foundation of China 81772826
6 · The paper itself

Abstract

backgroundBreast cancer represents a significant contributor to cancer-related mortality among women worldwide, with triple-negative breast cancer (TNBC) often exhibiting more aggressive clinical features and a heightened lethality rate. The emergence of malignant progression, along with issues of drug resistance, poses substantial challenges in the clinical management of this disease.

methodsThe analysis of gene expression profiles at the single-cell level was conducted on circulating tumor cells (CTCs) obtained from TNBC patients, with the objective of identifying specific marker genes associated with CTCs. The TCGA database served as the training cohort for the development of a prognostic CTCs signature model, while the METABRIC dataset was utilized as the validation cohort to assess the robustness of the CTCs signature model. Furthermore, we investigated the differences in prognosis, immune scores, tumor mutational burden, and responses to immunotherapy and chemotherapy across various risk groups established based on the CTCs signature model. Colony formation and transwell assays were conducted to assess the influence of CTCs signature genes on cellular proliferation and invasive capabilities.

resultsSeven marker genes associated with CTCs (BLOC1S3, FOXD2, GZMB, KCNJ13, NTRK3, SOAT2, and ZNF589) were identified and incorporated into a CTCs signature model. The risk score derived from this model stratified TNBC patients into high-risk and low-risk groups. Notably, the overall survival (OS) rate for the low-risk group was significantly higher than that of the high-risk group. Furthermore, the low-risk cohort exhibited more favorable prognostic outcomes and demonstrated heightened sensitivity to both immunotherapy and chemotherapy. Finally, knockdown experiments conducted in TNBC cell lines demonstrated that CTCs signature genes play a crucial role in the regulation of cellular proliferation and invasion.

conclusionThe CTCs signature model offers novel insights into the prognostic significance of CTC marker genes in TNBC. This understanding may serve as a valuable reference for predicting responses to immunotherapy and chemotherapy, as well as for revealing the molecular mechanisms and therapeutic targets of TNBC.

Indexed as

Chemotherapy responseCirculating tumor cellsImmunotherapyMarker genesPrognostic modelTriple-negative breast cancers

Identifiers

PMID40413298
PMCPMC12103409

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