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pmid:38643462

Integrative analysis based on the cell cycle-related genes identifies TPX2 as a novel prognostic biomarker associated with tumor immunity in breast cancer.

Xinli Liu · Wenyi Wang · Bing Chen · Shengjie Wang

Aging · 2024 doi:10.18632/aging.205752

Paper

complete

Experiment

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Data

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Integrative analysis based on the cell cycle-related genes identifies TPX2 as a novel prognostic biomarker associated with tumor immunity in breast cancer.
doi
10.18632/aging.205752
pmid
38643462
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Xinli Liu
[1]
Wenyi Wang
[2]
Bing Chen
[3]
Shengjie Wang
journal
Aging
year
2024
abstract
BACKGROUND: This study aims to identify the essential cell cycle-related genes associated with prognosis in breast cancer (BRCA), and to verify the relationship between the central gene and immune infiltration, so as to provide detailed and comprehensive information for the treatment of BRCA. MATERIALS AND METHODS: Gene expression profiles (GSE10780, GSE21422, GSE61304) and the Cancer Genome Atlas (TCGA) BRCA data were used to identify differentially expressed genes (DEGs) and further functional enrichment analysis. STRING and Cytoscape were employed for the protein-protein interaction (PPI) network construction. TPX2 was viewed as the crucial prognostic gene by the Survival and Cox analysis. Furthermore, the connection between TPX2 expression and immune infiltrating cells and immune checkpoints in BRCA was also performed by the TIMER online database and R software. RESULTS: A total of 18 cell cycle-related DEGs were identified in this study. Subsequently, an intersection analysis based on TCGA-BRCA prognostic genes and the above DEGs identified three genes (TPX2, UBE2C, CCNE2) as crucial prognostic candidate biomarkers. Moreover, we also demonstrated that TPX2 is closely associated with immune infiltration in BRCA and a positive relation between TPX2 and PD-L1 expression was firstly detected. CONCLUSIONS: These results revealed that TPX2 is a potential prognostic biomarker and closely correlated with immune infiltration in BRCA, which could provide powerful and efficient strategies for breast cancer immunotherapy.
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The Kaplan-Meier method with the log-rank test was employed for analyzing the survival endpoint of these genes in the study. Multivariate and univariate Cox regression analyses including specific indicators, age, pathological stage, TNM stage, TPX2 expression, were performed in the study, and the nomogram analysis was depicted via “RMS” package.
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The Kaplan-Meier method with the log-rank test was employed for analyzing the survival endpoint of these genes in the study. Multivariate and univariate Cox regression analyses including specific indicators, age, pathological stage, TNM stage, TPX2 expression, were performed in the study, and the nomogram analysis was depicted via “RMS” package.
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These results revealed that TPX2 is a potential prognostic biomarker and closely correlated with immune infiltration in BRCA, which could provide powerful and efficient strategies for breast cancer immunotherapy.
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These results revealed that TPX2 is a potential prognostic biomarker and closely correlated with immune infiltration in BRCA, which could provide powerful and efficient strategies for breast cancer immunotherapy.
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These results revealed that TPX2 is a potential prognostic biomarker and closely correlated with immune infiltration in BRCA, which could provide powerful and efficient strategies for breast cancer immunotherapy.
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Homo sapiens
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Novel bio-marker discovery for stratification and prognosis of breast cancer patients
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2026-11-01T15:39:55Z
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The Kaplan-Meier method with the log-rank test was employed for analyzing the survival endpoint of these genes in the study. Multivariate and univariate Cox regression analyses including specific indicators, age, pathological stage, TNM stage, TPX2 expression, were performed in the study, and the nomogram analysis was depicted via “RMS” package.
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s instructions [29]. These cell strains were cultured in an incubator with a criteria of 5% CO2 humid
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The Kaplan-Meier method with the log-rank test was employed for analyzing the survival endpoint of these genes in the study. Multivariate and univariate Cox regression analyses including specific indicators, age, pathological stage, TNM stage, TPX2 expression, were performed in the study, and the nomogram analysis was depicted via “RMS” package.
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{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:38643462", "kind": "science-record", "revision": 5, "content_hash": "sha256:f0f5e3fd56c72dfc25bfd185862cec57e403543b036c6e5b4b32e0ce8e0fbb82", "created_at": "2026-11-01T19:20:36Z", "updated_at": "2026-11-01T22:54:10Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Integrative analysis based on the cell cycle-related genes identifies TPX2 as a novel prognostic biomarker associated with tumor immunity in breast cancer.", "doi": "10.18632/aging.205752", "pmid": "38643462", "authors": ["Xinli Liu", "Wenyi Wang", "Bing Chen", "Shengjie Wang"], "journal": "Aging", "year": 2024, "abstract": "BACKGROUND: This study aims to identify the essential cell cycle-related genes associated with prognosis in breast cancer (BRCA), and to verify the relationship between the central gene and immune infiltration, so as to provide detailed and comprehensive information for the treatment of BRCA.\nMATERIALS AND METHODS: Gene expression profiles (GSE10780, GSE21422, GSE61304) and the Cancer Genome Atlas (TCGA) BRCA data were used to identify differentially expressed genes (DEGs) and further functional enrichment analysis. STRING and Cytoscape were employed for the protein-protein interaction (PPI) network construction. TPX2 was viewed as the crucial prognostic gene by the Survival and Cox analysis. Furthermore, the connection between TPX2 expression and immune infiltrating cells and immune checkpoints in BRCA was also performed by the TIMER online database and R software.\nRESULTS: A total of 18 cell cycle-related DEGs were identified in this study. Subsequently, an intersection analysis based on TCGA-BRCA prognostic genes and the above DEGs identified three genes (TPX2, UBE2C, CCNE2) as crucial prognostic candidate biomarkers. Moreover, we also demonstrated that TPX2 is closely associated with immune infiltration in BRCA and a positive relation between TPX2 and PD-L1 expression was firstly detected.\nCONCLUSIONS: These results revealed that TPX2 is a potential prognostic biomarker and closely correlated with immune infiltration in BRCA, which could provide powerful and efficient strategies for breast cancer immunotherapy.", "claims": [{"id": "claim-method", "statement": "The Kaplan-Meier method with the log-rank test was employed for analyzing the survival endpoint of these genes in the study. 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