Akademik Veri Yönetim Sistemi
4. Uluslararası Erciyes Bilimsel Araştırmalar Kongresi, Kayseri, Türkiye, 16 Ekim 2020
Lung cancer is one of the most occurring and death causing cancers worldwide. In spite of the progresses in traditional lung cancer treatments, the survival rate is still low due to the late diagnosis of the disease. Therefore, there is an ever-growing interest in the identification of novel diagnostic and prognostic biomarkers and therapeutic targets for lung cancer. Within the framework of the present study, an integrative system-based approach was used to investigate the transcriptional changes between tumoral and non-tumoral lung tissues. The gene expression profiles were obtained from three independent studies and the comparative transcriptome profiling revealed several biological processes specific to lung adenocarcinoma together with a number of common cancer-related biological processes. In order to identify potential metabolic biomarkers, the reporter metabolites around which the most important changes occur were determined by using human metabolic reaction model. Furthermore, a system-based network approach was used to identify potential genomic biomarkers for the diagnosis and/or prognosis of lung adenocarcinoma. A protein-protein interaction (PPI) network associated with lung adenocarcinoma was reconstructed by integrating PPI data with gene expression data and the topological analysis of the constructed network revealed six potential genomic biomarkers (AURKA, CAV1, CDK1, FHL2, MYH10 and SRPK1) for lung adenocarcinoma. The survival analysis performed via Kaplan-Meier plotter verified that the expressions of AURKA, CAV1, CDK1, FHL2, and MYH10 significantly affected the survival time of patients having lung cancer. As network biomarkers, these candidates need to be noticed for further clinical studies and experiments should be carried out by integrating with clinical data to verify these biomarkers’ diagnostic capabilities and pinpoint their roles in the progression of lung adenocarcinoma.