Deciphering Circadian Rhythm–Related Molecular Subtypes in Breast Cancer and Establishing a Prognostic Prediction Model.
Background: Recent evidence suggests that alterations in circadian rhythm genes may lead to circadian rhythm disruption (CRD), which is a key mechanism in the progression of breast cancer. Therefore, investigating the role of circadian rhythm genes in the prognosis of breast cancer holds significant...
| Published in: | BioMed Research International Vol. 2025; pp. 1 - 20 |
|---|---|
| Main Authors: | , , , , , , , , |
| Format: | research tables/charts Journal Article |
| Published: |
Wiley-Blackwell
9/9/2025
|
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=187843956&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 187843956 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 23146133 FT2T jtl: BioMed Research International issn: 23146133 maglogo: N pubinfo: dt: 9/9/2025 vid: 2025 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 187843956 187843956 187843956 10.1155/bmri/9664238 187843956 ppf: 1 ppct: 19 formats: fmt: – @attributes: type: T – @attributes: type: C – @attributes: type: P tig: atl: Deciphering Circadian Rhythm–Related Molecular Subtypes in Breast Cancer and Establishing a Prognostic Prediction Model. aug: au: Lu, Yanzhen Yang, Yunfei Yu, Dan Tan, Yuxi Feng, Gang Ouyang, Liquan Tan, Lulu Tan, Yuyan Mohammadi, Saeed affil: Department of Thyroid and Breast Surgery,, The First College of Clinical Medical Science,, China Three Gorges University & Yichang Central People's Hospital,, Yichang, Hubei,, China, ctgu.edu.cn sug: subj: Breast Neoplasms Prognosis Breast Neoplasms Familial and Genetic Breast Neoplasms Classification Circadian Rhythm Gene Expression Profiling Prediction Models Human Funding Source Female Adult Middle Age Cancer Patients Mutation Blood Glucose Penicillins Streptomycin Regression RNA, Messenger Factor Analysis Algorithms Wilcoxon Rank Sum Test Chi Square Test Cell Culture Techniques Descriptive Statistics Reverse Transcriptase Polymerase Chain Reaction Fibroblasts Chemotherapy, Cancer Immune Checkpoint Inhibitors Immunotherapy Adult: 19-44 years Middle Aged: 45-64 years Female ab: Background: Recent evidence suggests that alterations in circadian rhythm genes may lead to circadian rhythm disruption (CRD), which is a key mechanism in the progression of breast cancer. Therefore, investigating the role of circadian rhythm genes in the prognosis of breast cancer holds significant clinical value. Materials and Methods: We utilized expression profile data from the Gene Expression Omnibus (GEO) database to identify cancer features closely associated with CRD in breast cancer. Then, we analyzed publicly available datasets (including GEO, TCGA, and METABRIC) to identify alterations in core circadian genes significantly associated with patient survival across breast cancer and constructed a circadian‐related gene signature (CGS) based on these prognostic cancer features. Results: Circadian rhythm–related genes (CRGs) were selected to construct a risk gene signature associated with individual prognosis, which was validated in six independent cohorts and demonstrated good predictive ability. We identified three circadian rhythm–associated subtypes with distinct prognoses, which exhibited significant differences in immune checkpoint molecules, drug sensitivity, and molecular features. Additionally, the gene signature and clinicopathologic features were integrated to develop a risk model with enhanced predictive accuracy. To validate the functional role of signature genes, BMAL1 knockdown in SKBR3 cells disrupted circadian rhythms, with qPCR confirming altered risk gene expression. We found that the nomogram exhibited superior discriminative ability compared to the traditional breast cancer staging system. Conclusion: We developed a nomogram that can accurately predict the prognosis of breast cancer, and conclude that the expression of CRGs is crucial in breast cancer treatment decisions. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|