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Updated: Nov 19, 2025

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
Published on: May 17, 2019
Expression and clinical significance of PDK family in breast cancer based on data mining
1Department of Oncology Surgery, The First Affiliated Hospital of Bengbu Medical College Bengbu, People's Republic of China.
Abstract:
The pyruvate dehydrogenase kinase (PDK) family, including PDK1, PDK2, PDK3, and PDK4, is involved in tumor progression. However, its role in breast cancer (BC) remains unknown. This study aims to mine the expression, clinical significance, and downstream pathways of PDK family in BC. By analyzing data downloaded from The Cancer Genome Atlas (TCGA) database, we found an enhanced level of PDK3 and decreased expression of PDK2 and PDK4 in BC tissues compared to normal tissues. Also, the expression of PDK3 mRNA is negatively related to that of PDK2 and PDK4, while there is a positive relation between PDK2 mRNA expression and PDK3 mRNA expression. Moreover, we found that PDK2 expression is related to lymph node metastasis, and PDK4 is associated with T stage and stage using analysis of data obtained from TCGA database. Finally, we identified several gene sets related to cancer initiation and progression regulated by PDK2-4 after performing Gene set enrichment analysis (GSEA). In conclusion, PDK2-4 possess potential as targets for BC treatment.
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