miR-190, CDK1, MCM10 and NDC80 predict the prognosis of the patients with lung cancer

Abstract

Lung cancer (LC), which includes small-cell lung carcinoma (SCLC) and non-small-cell lung carcinoma (NSCLC), is common and has a high fatality rate. This study aimed to reveal the prognostic mechanisms of LC. GSE30219 was extracted from the Gene Expression Omnibus (GEO) database, and included 293 LC samples and 14 normal lung samples. Differentially expressed genes (DEGs) were identified using the Limma package, and subjected to pathway enrichment analysis using DAVID. MicroRNAs (miRNAs) targeting the DEGs were predicted using Webgestalt. Cytoscape software was used to build a protein-protein interaction (PPI) network and to identify significant network modules. Survival analysis was conducted using Survminer and Survival packages, and validation was performed using The Cancer Genome Atlas (TCGA) dataset. The good and poor prognosis groups contained 518 DEGs. miR-190, miR-493, and miR-218 for the upregulated genes and miR-302, miR-200, and miR-26 for the downregulated genes were predicted. Three network modules (module 1, 2, and 3) were identified from the PPI network. CDK1, MCM10, and NDC80 were the core nodes of module 1, 2, and 3, respectively. In module 1, CDK1 interacted with both CCNB1 and CCNB2. Additionally, CDK1, CCNB1, CCNB2, MCM10, and NDC80 expression levels correlated with clinical survival and were identified as DEGs in both GSE30219 and the TCGA dataset. miR-190, miR-493, miR-218, miR-200, and miR-302 might act in LC by targeting the DEGs. CDK1, CCNB1, CCNB2, MCM10, and NDC80 might also influence the prognosis of LC.

Identification of Hub Genes and Their Correlation With Immune Infiltration Cells in Hepatocellular Carcinoma Based on GEO and TCGA Databases

“…It has previously been reported that some of these also regulate the P53 signaling pathway (Mirgayazova et al, 2019). The hub genes have been also found to be associated with various cancers (Burum-Auensen et al, 2010;Wierstra, 2013;Luo et al, 2014;Singh et al, 2014;Schneider et al, 2017;Gao and Wang, 2019). In this study, we found the expression of the hub genes was up-regulated in cancer samples compared with normal tissues.…”

Laboratory medicine in the era of precision medicine – dream or reality?

“…Exciting new technologies and thousands of listing examples of various miRNAs that have been identified as potential biomarkers, outbreak current scientific publications. In previous issues of the Romanian Journal of Laboratory Medicine some miRNA-30c and miRNA-190 were presented with prognostic abilities in patients with colon and lung cancer, but also a series of miRNAs that can serve as biomarkers for the evaluation of the critically ill polytrauma patient respectively (28)(29)(30). However, there is still a long way to go for the analytical and clinical validation of these classes of biomarkers.…”

Alterations in the Ca2+ toolkit in oesophageal adenocarcinoma

“…There is no literature linking a role for JPH1 in OAC or acid-sensing. JPH1 was among the upregulated genes in an analysis of lung cancer [ 120 ]. Zou et al [ 121 ] noted that the long non-coding form of JPH1 RNA, Lnc-JPH1-7, was upregulated 35-fold in TCGA samples of head-and-neck, squamous-cell carcinoma.…”