DCTPP1 Expression as a Predictor of Chemotherapy Response in Luminal A Breast Cancer Patients.
Juan P MuñozDiego Soto-JiménezGloria M CalafPublished in: Biomedicines (2024)
Breast cancer (BRCA) remains a significant global health challenge due to its prevalence and lethality, exacerbated by the development of resistance to conventional therapies. Therefore, understanding the molecular mechanisms underpinning chemoresistance is crucial for improving therapeutic outcomes. Human deoxycytidine triphosphate pyrophosphatase 1 (DCTPP1) has emerged as a key player in various cancers, including BRCA. DCTPP1, involved in nucleotide metabolism and maintenance of genomic stability, has been linked to cancer cell proliferation, survival, and drug resistance. This study evaluates the role of DCTPP1 in BRCA prognosis and chemotherapy response. Data from the Cancer Genome Atlas Program (TCGA), Genotype-Tissue Expression (GTEx), and Gene Expression Omnibus (GEO) repositories, analyzed using GEPIA and Kaplan-Meier Plotter, indicate that high DCTPP1 expression correlates with poorer overall survival and increased resistance to chemotherapy in BRCA patients. Further analysis reveals that DCTPP1 gene expression is up-regulated in non-responders to chemotherapy, particularly in estrogen receptor (ER)-positive, luminal A subtype patients, with significant predictive power. Additionally, in vitro studies show that DCTPP1 gene expression increases in response to 5-fluorouracil and doxorubicin treatments in luminal A BRCA cell lines, suggesting a hypothetical role in chemoresistance. These findings highlight DCTPP1 as a potential biomarker for predicting chemotherapy response and as a therapeutic target to enhance chemotherapy efficacy in BRCA patients.
Keyphrases
- gene expression
- locally advanced
- end stage renal disease
- estrogen receptor
- poor prognosis
- cell proliferation
- dna methylation
- breast cancer risk
- newly diagnosed
- ejection fraction
- chronic kidney disease
- global health
- prognostic factors
- papillary thyroid
- public health
- peritoneal dialysis
- endothelial cells
- type diabetes
- machine learning
- chemotherapy induced
- free survival
- genome wide
- young adults
- binding protein
- single cell
- skeletal muscle
- adipose tissue
- squamous cell
- weight loss
- glycemic control