ArticleOncotarget2017
An analysis of the gene interaction networks identifying the role of PARP1 in metastasis of non-small cell lung cancer.
Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 20 citations in OpenAlex.
- Leveraging PARP-1/2 to Target Distant Metastasis.International journal of molecular sciences · 2024Review
- Article
- Lung squamous cell carcinoma and lung adenocarcinoma differential gene expression regulation through pathways of Notch, Hedgehog, Wnt, and ErbB signalling.Scientific reports · 2020Article
- Inhibition of DNA Repair in Cancer Therapy: Toward a Multi-Target Approach.International journal of molecular sciences · 2020Review
- Comprehensive analysis of prognosis-related methylated sites in breast carcinoma.Molecular genetics & genomic medicine · 2020Article
- Transgelin interacts with PARP1 in human colon cancer cells.Cancer cell international · 2020Article
- Mortaparib, a novel dual inhibitor of mortalin and PARP1, is a potential drug candidate for ovarian and cervical cancers.Journal of experimental & clinical cancer research : CR · 2019Article
- Screening and identification of key biomarkers in nasopharyngeal carcinoma: Evidence from bioinformatic analysis.Medicine · 2019Article
- Integrated analysis of dysregulated long non-coding RNAs/microRNAs/mRNAs in metastasis of lung adenocarcinoma.Journal of translational medicine · 2018Article
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND AND
objectiveThough 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.
methodsThe 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.
resultsThrough 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.
conclusionNew 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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