ArticleJournal of bioenergetics and biomembranes2021
GOLM1 predicts poor prognosis of patients with NSCLC and is associated with the proliferation and chemo-sensitivity of cisplatin in NSCLC cells: bioinformatics analysis and laboratory validation.
Article in Journal of bioenergetics and biomembranes, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed, 5 citations in OpenAlex.
- Drug repositioning in non-small cell lung cancer (NSCLC) using gene co-expression and drug-gene interaction networks analysis.Scientific reports · 2022Article
- Integration of Single-Cell RNA Sequencing and Bulk RNA Sequencing Data to Establish and Validate a Prognostic Model for Patients With Lung Adenocarcinoma.Frontiers in genetics · 2022Article
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Authors and funding
3 authors at 3 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
Lung cancer is one of the deadliest malignant tumors with non-small cell lung cancer (NSCLC) being the most prevalent type. Patients with NSCLC usually were diagnosed at the advance clinical stages, and these patients often had high rate of tumor-recurrence, thus leading to poor prognosis. Yet, the molecular mechanisms underlying NSCLC progression and recurrence are largely unknown. This study aimed to identify potential hub genes associated with the pathophysiology of NSCLC by bioinformatics analysis and laboratory validation. The GSE51852, GSE52248 and GSE75037 datasets were downloaded from the Gene Expression Omnibus database. The overlapping differentially expressed genes (DEGs) were analyzed by GEO2R tool. Gene Ontology (GO) and KEGG pathway enrichment analysis were performed on these overlapping DEGs. The protein-protein interaction network was constructed to identify hub genes from DEGs. The expression and survival analysis of these hub genes were performed by using the integrated bioinformatics tools. Finally, the effects of GOLM1 on the proliferation and chemo-sensitivity of NSCLC cells were determined by in vitro functional assays. A total of 197 overlapping DEGs (37 up-regulated and 160 down-regulated) were identified from the microarray datasets. Furthermore, the PPI network with 89 nodes and 768 edges was constructed and 17 hub genes were identified from PPI network by using MCODE analysis. The survival analysis revealed that the expression of 5 hub genes (FGF2, GOLM1, GPC3, IL6 and SPP1) were significantly correlated with overall survival of patients with lung cancer. Furthermore, the in vitro functional studies showed that GOLM1 overexpression promoted the NSCLC cell proliferation and colony formation; while GOLM1 knockdown exerted the opposite effects. Importantly, GOLM1 overexpression reduced the chemo-sensitivity of cisplatin in NSCLC cells by attenuating the inhibitory effects of cisplatin on the cell proliferation and colony formation. In conclusion, the present study showed that 5 hub genes including FGF2, GOLM1, GPC3, IL6 and SPP1 were deregulated in NSCLC tissues and may predict the prognosis of patients with NSCLC. GOLM1 may play an important role in regulating the cell proliferation and chemo-sensitivity of cisplatin in NSCLC.
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