Bioinformatics analysis reveals potential candidate drugs for cervical cancer

Abstract

Aim: We sought to explore the mechanisms of cervical carcinoma response to epidermal growth factor (EGF), and then identify biologically active small molecules capable of targeting the sub-pathways that were dysregulated in cervical cancer cells in the response to EGF.

Material and methods: Differentially expressed genes and pathways were analyzed based on the transcription profile of GSE6783, and then the differentially expressed molecules were further analyzed by several bioinformatics methods.

Results: Our results suggested that EGF could promote cervical cancer cell proliferation through triggering the dysregulation of certain sub-pathways in the mitogen-activated protein kinase signaling pathway, p53 signaling pathway and pathways in cancer. Furthermore, our bioinformatics analysis revealed a total of 49 small molecules which may play a role in perturbing the response to EGF of cervical cancer cells.

Conclusions: Candidate drugs identified by our approach may provide the groundwork for a combination therapy approach for cervical cancer; however, further studies are still needed to make sure that the use of parthenolide or other anti-cancer agents is effective without inhibiting important host defense mechanisms in cervical cancer.