In silico analyses identify gene-sets, associated with clinical outcome in ovarian cancer: role of mitotic kinases.

Introduction: Accurate assessment of prognosis in early stage ovarian cancer is challenging resulting in suboptimal selection of patients for adjuvant therapy. The identification of predictive markers for cytotoxic chemotherapy is therefore highly desirable. Protein kinases are important components in oncogenic transformation and those relating to cell cycle and mitosis control may allow for identification of high-risk early stage ovarian tumors.

Transcriptomic analyses identify association between mitotic kinases, PDZ-binding kinase and BUB1, and clinical outcome in breast cancer.

Protein kinases are important components in oncogenic transformation of breast cancer. Evaluation of upregulated genes that codify for protein kinases could be used as biomarkers to predict clinical outcome. Gene expression and functional analyses using public datasets were performed to identify differential gene expression and functions in basal-like tumors compared with normal breast tissue.