Carcinogenesis, Teratogenesis & Mutagenesis ›› 2025, Vol. 37 ›› Issue (5): 375-382.doi: 10.3969/j.issn.1004-616x.2025.05.005

Previous Articles    

Expression and prognostic value of CDS1 in breast cancer based on pan-cancer analysis

LI Jiarong1, LIN Junhao2, QIU Zhaolong3, ZHU Zhiqin2, CHEN Fengsheng2   

  1. 1. Department of Radiotherapy, Cancer Hospital of Shantou University Medical College, Shantou 515031;
    2. Cancer Center, Southern Medical University Hospital of Integrated Traditional Chinese and Western Medicine, Guangzhou 510315;
    3. The Second Affiliated Hospital of Shantou University Medical College, Shantou 515041, Guangdong, China
  • Received:2025-04-22 Revised:2025-06-24 Published:2025-10-17

Abstract: OBJECTIVE:This study aimed to explore relationships between CDP-diacylglycerol synthase 1 (CDS1) and various cancers through bioinformatics analysis, and to further validate expression and prognostic value of CDS1 in breast cancer viain vitro experiments. METHODS:Using RNA sequencing (RNA-seq) data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO),expression patterns and prognostic value of CDS1 in various cancer types were systematically analyzed. Relationships between CDS1 expression and immune subtypes were further investigated. Functional enrichment analysis of differentially expressed genes in breast cancer was performed,and a gene co-expression network was constructed. Immunohistochemistry (IHC) was used to detect differences in CDS1 protein expression levels between normal and cancerous tissues in breast cancer patients (BRCA). Lastly, a survival prediction nomogram model incorporating CDS1 expression was constructed and validated. RESULTS: Compared with adjacent non-tumorous tissues, CDS1 exhibited significantly higher expression in multiple cancer tissues (P <0.05). Importantly,breast cancer patients with high CDS1 expression demonstrated a significantly shorter recurrence-free survival (P <0.01). Furthermore, CDS1 expression differed significantly across breast cancer immune-histochemical subtypes (P <0.01). Functional enrichment analysis suggested that CDS1 was involved in the lipid metabolism regulatory pathway and the PI3K-Akt signaling pathway. Correlation analysis revealed significant associations between CDS1 expression and expression of PIK3CA (r=0.415, P <0.01) and ERBB2 (r=0.361, P <0.01). IHC results confirmed that CDS1 expression was significantly elevated in breast cancer tissues compared to adjacent tissues (P <0.01), and correlated with shorter overall survival in patients with high expression (P <0.05). Additionally, HER-2 expression showed significant variations among breast cancer patients with different CDS1 expression levels (χ2= 6.176, p=0.013). The constructed nomogram exhibited good predictive performance for survival (concordance index=0.746, p=0.018). CONCLUSION: CDS1 was highly expressed in breast cancer and was significantly correlated with HER-2 expression, making it a valuable prognostic biomarker. Its potential role in lipid metabolism and the PI3K-Akt signaling pathway suggests that CDS1 contributed to breast cancer progression. The constructed nomogram model incorporating CDS1 expression provides an effective tool for survival prediction in breast cancer patients.

Key words: CDS1, pan-cancer analysis, breast cancer, bioinformatics, prognosis

CLC Number: