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- Title
A novel coiled-coil domain containing-related gene signature for predicting prognosis and treatment effect of breast cancer.
- Authors
Wang, Yufei; Wang, Yanmei; Zhou, Jia; Ying, Pingting; Wang, Zhuo; Wu, Yan; Hao, Minyan; Qiu, Shuying; Jin, Hongchuan; Wang, Xian
- Abstract
Purpose: Breast cancer (BRCA) is a prevalent tumor worldwide. The association between the coiled-coil domain-containing (CCDC) protein family and different tumors has been established. However, the prognostic significance of this protein family in breast cancer remains uncertain. Methods: Gene expression and clinical data were obtained from the TCGA, METABRIC, and GEO databases. Prognosis genes were identified using univariate Cox and LASSO Cox regression, leading to the establishment of a prognostic signature. Subsequently, the risk model was conducted based on survival and clinical feature analyses, and a nomogram for prognosis prediction was developed. Furthermore, analyses of biological function, immune characteristics, and drug sensitivity were performed. Finally, single-cell sequencing data were utilized to uncover the expression patterns of genes in the risk model. Results: Five genes were identified and utilized for risk modeling. The model demonstrated excellent prognostic value as indicated by ROC and Kaplan–Meier analysis. The high-risk group exhibited shorter survival time and higher likelihood of recurrence. Functional annotation indicated a correlation between the risk score and immune pathways. Conversely, the low-risk group displayed a greater enrichment in immune pathways and exhibited more active immune microenvironment characteristics. Additionally, drug sensitivity analysis using both public and our sequencing data revealed that the risk model possessed a broad range of predictive values. Conclusions: We have developed a gene signature and have verified that patients with low-risk are more likely to have better prognosis and respond positively to therapy. This finding offers a valuable point of reference for BRCA individualized treatment.
- Subjects
BREAST cancer; DISEASE risk factors; TREATMENT effectiveness; GENE expression; PROGNOSIS
- Publication
Journal of Cancer Research & Clinical Oncology, 2023, Vol 149, Issue 15, p14205
- ISSN
0171-5216
- Publication type
Article
- DOI
10.1007/s00432-023-05222-y