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Deciphering Circadian Rhythm-Related Molecular Subtypes in Breast Cancer and Establishing a Prognostic Prediction
Yanzhen Lu1,2,3, Yunfei Yang1,2,3, Dan Yu1,2,3
1Department 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.
Altered circadian rhythm genes impact breast cancer progression. This study developed a prognostic nomogram using circadian rhythm genes, improving breast cancer survival prediction and treatment decisions.
Area of Science:
- Oncology
- Molecular Biology
- Genetics
Background:
- Circadian rhythm disruption (CRD) is implicated in breast cancer progression.
- Investigating circadian rhythm genes offers clinical value for breast cancer prognosis.
Purpose of the Study:
- To identify circadian rhythm genes associated with breast cancer prognosis.
- To develop a predictive model for breast cancer survival.
Main Methods:
- Utilized GEO, TCGA, and METABRIC datasets for gene expression analysis.
- Constructed a circadian-related gene signature (CGS) and validated it in independent cohorts.
- Integrated CGS with clinicopathologic features to develop a risk nomogram.
Main Results:
- Identified prognostic circadian rhythm-related genes (CRGs) and developed a validated risk signature.
- Discovered three distinct circadian rhythm-associated breast cancer subtypes with varying prognoses, immune profiles, and drug sensitivities.
- Developed a nomogram demonstrating superior predictive accuracy over traditional staging systems.
Conclusions:
- A novel nomogram accurately predicts breast cancer prognosis.
- Circadian rhythm gene expression is critical for guiding breast cancer treatment decisions.
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