ArticleCurrent medicinal chemistry2025
A Circadian Rhythm-related Signature to Predict Prognosis, Immune Infiltration, and Drug Response in Breast Cancer.
Article in Current medicinal chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Screening Biomarkers Related to Circadian Rhythm of Gastric Cancer Through Bioinformatics.Applied biochemistry and biotechnology · 2026Article
- Exploring the Functional and Prognostic Significance of miR-217 in Uterine Corpus Endometrial Carcinoma.Current medicinal chemistry · 2026Article
- An Innovative Telomere-associated Prognosis Model in AML: Predicting Immune Infiltration and Treatment Responsiveness.Current medicinal chemistry · 2026Article
- Identification of Ferroptosis-Related Prognostic Models and FDFT1 as a Potential Ferroptosis Driver in Colorectal Cancer.Current medicinal chemistry · 2026Article
- Towards the genome-scale discovery of bivariate monotonic classifiers.BMC bioinformatics · 2025Article
- E2F expression profiling-based subtypes in head and neck squamous cell carcinoma: clinical relevance, prognostic implications, and personalized therapy.World journal of surgical oncology · 2025Article
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Authors and funding
6 authors.
Funding
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Abstract
purposeCircadian rhythm-related genes (CRRGs) play essential roles in cancer occurrence and development. However, the prognostic significance of CRRGs in breast cancer (BC) has not been fully elucidated. Our study aimed to develop a prognostic gene signature based on CRRGs that can accurately and stably predict the prognosis of BC.
methodsThe transcriptome data and clinical information for BC patients were obtained from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. A consensus unsupervised clustering analysis was carried out to investigate the roles of CRRGs in BC. A CRRGs-related prognostic risk model was established by using logistic least absolute shrinkage and selection operator (LASSO) Cox regression and univariate Cox regression analyses. Kaplan-Meier (KM) curves analysis, time-dependent receptor operation characteristics (ROC) curves analysis, and nomogram were plotted to evaluate the predictive efficacy of the model. The relevance of risk score to the immune cell infiltration, tumor burden mutation (TMB), and therapeutic response was assessed.
resultsA risk model comprising six CRRGs (
conclusionWe established a CRRGs-related risk signature, which is of great value in predicting the prognosis of patients with BC and guiding the treatment for BC.
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