Evidence map›Paper›PMID 41203941›Full record

ArticleFunctional & integrative genomics2025

Integrative single-cell and bulk RNA-seq analysis identifies glycosyltransferases-related signature in triple negative breast cancer.

Junyi Hu, Ningning Yuan, Zhenglan Huang, Yancheng Liu, Bohan Tu, Xinyue Yu, Tianli Hui, Guowei Zuo

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Article in Functional & integrative genomics, 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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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Junyi Hu *Department of Clinical Medicine, International Medical College, Chongqing Medical University, Chongqing, 400016, China.
Ningning Yuan *Key Laboratory of Clinical Laboratory Diagnostics (Chinese Ministry of Education), College of Laboratory Medicine, Chongqing Medical University, Chongqing, 400016, China.
Zhenglan HuangKey Laboratory of Clinical Laboratory Diagnostics (Chinese Ministry of Education), College of Laboratory Medicine, Chongqing Medical University, Chongqing, 400016, China.
Yancheng LiuCollege of Traditional Chinese Medicine, Chongqing Medical University, Chongqing, 400016, China.
Bohan TuDepartment of Clinical Medicine, First Clinical College, Chongqing Medical University, Chongqing, 400016, China.
Xinyue YuDepartment of Clinical Medicine, International Medical College, Chongqing Medical University, Chongqing, 400016, China.
Tianli HuiBreast Center, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050010, Hebei, China. huitianli_doc@163.com.
Guowei ZuoKey Laboratory of Clinical Laboratory Diagnostics (Chinese Ministry of Education), College of Laboratory Medicine, Chongqing Medical University, Chongqing, 400016, China. zuoguowei@cqmu.edu.cn.

Funding

Medical Science Research Program Foundation No.20240185
6 · The paper itself

Abstract

Triple-negative breast cancer (TNBC) represents a formidable subtype with a grim prognosis. This study aims to pinpoint the molecular targets of Glycosyltransferases (GTs) in TNBC, with the goal of improving prognostic accuracy and boosting the effectiveness of immune therapies. Using publicly available datasets, we combined differentially expressed and correlated genes based on AUCell scores from single-cell sequencing. These were then subjected to enrichment analysis and utilized for constructing a risk model. A total of 780 genes were identified as being closely associated with GTs. Using 101 algorithm combinations, a 17-gene signature emerged with predictive capabilities for TNBC patient prognosis. At the same time, we examined the role of these model genes in the tumor microenvironment(TME). We identified key transcription factors correlating with GTs, including CREB3L1, which showed significant association with the CERCAM gene. Subsequently, the pro-cancerous effects of GTs were validated through a series of experiments, including CCK-8 cell viability assays, scratch wound healing assays, and Transwell migration and invasion assays. This research lays the foundation for targeted drug therapies, offering new opportunities to enhance clinical outcomes in TNBC.

Indexed as

Biomarkers, TumorGlycosyltransferasesTranscriptomeTriple Negative Breast NeoplasmsCell Line, TumorFemaleGene Expression Regulation, NeoplasticHumansPrognosisRNA-SeqSingle-Cell AnalysisTumor MicroenvironmentBiomarkers, TumorGlycosyltransferasesCERCAM1GlycosyltransferasesPrognostic modelTriple-negative breast cancerTumor microenvironment

Identifiers

PMID41203941

What OpenQuestion holds

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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.