Lung adenocarcinoma (LUAD) is a study that examines the prognostic value of lactate metabolism genes in tumor cells, which are associated with clinical prognosis. We analyzed the expression and clinical data for LUAD from The Cancer Genome Atlas database, using the GSE68465 dataset from the Gene Expression Omnibus and the MSigDB database. LASSO Cox regression and stepwise Cox regression were used to identify the optimal lactate metabolism gene signature.
View Article and Find Full Text PDFMitochondrial DNA is implicated in hypertrophic cardiomyopathy (HCM) development. We aimed to identify valuable mtDNAs that contribute to the development of HCM. Differentially expressed mitochondrial DNAs (DEMGs) between HCM and controls were screened.
View Article and Find Full Text PDFLong non-coding RNAs (lncRNAs) are proved to perform critical function in regulating cancer cell behavior. It is reported that LINC00324 promotes lung adenocarcinoma development by regulating miR-615-5p/AKT1 axis. This study aimed to demonstrate whether LINC00324 participates in non-small cell lung cancer (NSCLC) pathogenesis through other molecular mechanism.
View Article and Find Full Text PDFBackground: Although posterior mediastinal (PM) route and retrosternal (RS) route have been used for reconstruction after minimally invasive esophagectomy (MIE), the optimal route remains controversial. This study reviewed our experiences with McKeown MIEs for esophageal cancer and aimed to investigate which route was better for esophageal reconstruction.
Materials And Methods: From December 2011 to December 2013, 103 patients who underwent McKeown MIE and esophageal reconstruction by PM or RS routes were reviewed.
Background: Non-small cell lung cancer (NSCLC) is one of the leading causes of cancer mortality. MicroRNAs (miRNAs), small noncoding RNAs, regulate the expression of genes that play roles in human cancer via posttranscriptional inhibition.
Methods: To identify the potential miRNA biomarkers in NSCLC, we downloaded the miRNA expression profile (ID: GSE29248) of NSCLC from the Gene Expression Omnibus (GEO) database and analyzed the differentially expressed miRNAs in NSCLC tissue compared with normal control tissue.