Oncotarget

Research Papers:

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

Kai Chen, Yajie Li _, Hui Xu, Chunfeng Zhang, Zhiqiang Li, Wei Wang & Baofeng Wang

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Oncotarget. 2017; 8:87263-87275. https://doi.org/10.18632/oncotarget.20256

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Abstract

Kai Chen1, Yajie Li2, Hui Xu1, Chunfeng Zhang1, Zhiqiang Li1, Wei Wang1 and Baofeng Wang1

1Department of Respiratory Medicine, Baoji Central Hospital, Baoji 721008, Shaanxi, China

2Department of Cardiology, Baoji Central Hospital, Baoji 721008, Shaanxi, China

Correspondence to:

Yajie Li, email: yjdoctor413@163.com

Keywords: NSCLC, gene interaction network, shortest path, PARP1, migration and invasion

Received: May 10, 2017     Accepted: July 12, 2017     Published: August 14, 2017

ABSTRACT

Background and Objective: Though there were many researches about the effects of cancer cells on non-small cell lung cancer (NSCLC) 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.

Methods: The study firstly built NSCLC genetic interaction network based on bioinformatics methods and then combined shortest path algorithm with significance test to confirmed core genes that 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 trans-well assays and wound-healing.

Results: Through gene interaction network, it was found that, core genes like PARP1, EGFR and ALK had a direct interaction. TCGA database showed that PARP1 presented strong expression in 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 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 correction with patient survival rate and prognosis.

Conclusion: New oncogene PARP1 was found from known NSCLC oncogene in terms of gene interaction network, demonstrating PARP1’s impact on NSCLC cell migration.


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