An analysis of the gene interaction networks identifying the role of PARP1 in metastasis of non-small cell lung cancer.

Though there were many researches about the effects of cancer cells on non-small cell lung cancer currently, it has been rarely reported completed oncogene and its mechanism in tumors by far. Here, we used biological methods with known oncogene of NSCLC to find new oncogene and explore its functionary mechanism in NSCLC. The study firstly built NSCLC genetic interaction network based on bioinformatics methods and then together with shortest path algorithm and significance test confirmed core genes were closely involved with given genes; real-time qPCR was conducted to detect expression levels between patients with NSCLC and normal people; additionally, detection of PARP1's role in migration and invasion was performed by Transwell assays and wound-healing. It was found through gene interaction network that, core genes like PARP1, EGFR and ALK had a direct interaction. TCGA database showed that PARP1 was of strong expression within NSCLC and the expression level of metastatic NSCLC was significantly higher than that of non-metastatic NSCLC. Cell migration of NSCLC in accordance to the scratch test was suppressed remarkably by PARP1 silence but stimulated noticeably by PARP1 overexpression. According to Kaplan-Meier survival curve, the higher PARP1 expression, the poorer patient survival rate and prognosis. Thus, PARP1 expression had a negative correlation with patient survival rate and prognosis. New oncogene PARP1 was found from known NSCLC oncogene in terms of gene interaction network, demonstrating PARP1's impact on NSCLC cell migration.