The overexpression of GRASP might inhibit cell proliferation and invasion in hepatocellular carcinoma

This study aimed to validate the methylation of key genes in hepatocellular carcinoma (HCC) screened by bioinformatics analysis and explore whether they affected HCC cell proliferation, migration, and invasion. Using The Cancer Genome Atlas (TCGA) database, HCC-related differentially methylated positions (DMPs) were screened, genes corresponding to DMPs were selected, and prognosis-related genes were identified. A representative DMP was used to divide the DMPs into hyper- and hypomethylated groups. Expression of key genes in cell lines was detected using quantitative real-time polymerase chain reaction and western blot analysis. After treatment of HepG2 cells with 5-Aza-2′-deoxycytidine (5-Aza-DC), gene expression was observed. Bisulfite sequencing PCR assay was used to detect methylation frequency. Overexpressed GRASP lentiviral vectors were constructed to analyze their influence on cell proliferation, migration, and invasion using cell counting kit-8 and transwell assays. Forty-three HCC prognosis-related genes were screened using the TCGA database. cg00249511 (SCT) was used to divide the DMPs into hyper- and hypomethylated groups, distinguishing between high- and low-risk samples. The prognosis survival model constructed using 12 genes revealed the prognosis type. GRASP messenger RNA was downregulated in HepG2 and upregulated after 5-Aza-DC treatment. In HCC tissues, methylation frequency of GRASP was upregulated. GRASP overexpression inhibited HepG2 cell proliferation, invasion, and G-CSFR expression. Thus, GRASP might be a prognosis-related gene controlled by methylation.     

LncRNA POU3F3 promotes proliferation and inhibits apoptosis of cancer cells in triple-negative breast cancer by inactivating caspase 9

It has been reported that lncRNA POU3F3 was upregulated in esophageal squamous-cell carcinomas, indicating its role as an oncogene in this disease. However, the mechanism of its function and its involvement in other malignancies is unknown. In the present study we found that expression levels of lncRNA POU3F3 were higher in tumor tissues than in adjacent healthy tissues of triple negative breast cancer (TNBC) patients and were significantly and inversely correlated with levels of cleaved caspase 9 only in tumor tissues. In addition, plasma levels of lncRNA POU3F3 were higher in TNBC patients than in healthy controls and were significantly and inversely correlated with levels of cleaved caspase 9 only in TNBC patients. In addition, treatment of exogenous Cleaved Caspase-9 significantly attenuated the effects of lncRNA POU3F3 overexpression on cancer cell proliferation and apoptosis. lncRNA POU3F3 may promote proliferation and inhibit apoptosis of cancer cells in triple-negative breast cancer.     

Identification of functional lncRNAs in gastric cancer by integrative analysis of GEO and TCGA data

Gastric cancer (GC) is a prevalent malignant cancer of digestive system, identification of novel diagnostic and prognostic biomarkers for GC is urgently demanded. The aim of this study was to determine potential long noncoding RNAs (lncRNAs) associated with the pathogenesis and prognosis of GC. Raw noncoding RNA microarray data (GSE53137, GSE70880, and GSE99417) was downloaded from Gene Expression Omnibus (GEO) database. Differentially expressed genes between GC and adjacent normal gastric tissue samples were screened by an integrated analysis of multiple gene expression profile after gene reannotation and batch normalization. Differentially expressed genes were further confirmed by The Cancer Genome Atlas (TCGA) database. Competing endogenous RNA (ceRNA) network, Gene Ontology term and Kyoto Encyclopedia of Genes and Genomes pathway, survival analysis were extensively applied to identify hub lncRNAs and discover potential biomarkers related to diagnosis and prognosis of GC. In total of 246 integrated differential genes including 15 lncRNAs and 241 messenger RNAs (mRNAs) were obtained after intersections of differential genes between GEO and TCGA database. ceRNA network comprised of three lncRNAs (UCA1, HOTTIP, and HMGA1P4), 26 microRNAs (miRNAs) and 72 mRNAs. Functional analysis revealed that three lncRNAs were mainly dominated in cell cycle and cellular senescence. Survival analysis showed that HMGA1P4 was statistically related to the overall survival rate. For the first time, we identified that HMGA1P4, a target of miR-301b/miR-508, is involved in cell cycle and senescence process by regulating CCNA2 in GC. Finally, the expression levels of three lncRNAs were validated to be upregulated in GC tissues. Thus, three lncRNAs including UCA1, HOTTIP, and HMGA1P4 may contribute to GC development and their potential functions might be associated with the prognosis of GC.     

Identification of a 4-miRNA signature as a potential prognostic biomarker for pancreatic adenocarcinoma

An microRNA (miRNA) signature to predict the clinical outcome of pancreatic adenocarcinoma (PAAD) is still lacking. In the current study, we aimed at identifying and evaluating a prognostic miRNA signature for patients with PAAD. The miRNA expression profile and the clinical information regarding patients with PAAD were recruited from The Cancer Genome Atlas database. Differentially expressed miRNAs were identified between normal and tumor samples. By means of survival analysis, a 4-miRNA signature for predicting patients' with PAAD overall survival (OS) was constructed. Receiver operating characteristic (ROC) analysis was applied to determine the efficiency of survival prediction. Furthermore, the biological function of the predicted miRNAs was evaluated using a bioinformatics approach. Four (hsa-mir-126, hsa-mir-3613, hsa-mir-424, and hsa-mir-4772) out of 17 differentially expressed miRNAs were associated to the OS of patients with PAAD. Moreover, the area under the curve (AUC) of the constructed 4-miRNA signature associated to patients' with PAAD 2-year survival was 0.789. The multivariate Cox's proportional hazards regression model suggested that this 4-miRNA signature was an independent prognostic factor of other clinical parameters in patients with PAAD. Further pathway enrichment analyses revealed that the miRNAs in the 4-miRNA signature might regulate genes that affect focal adhesion, Wnt signaling pathway, and PI3K-Akt signaling pathway. Thus, these findings indicated that the 4-miRNA signature might be an effective independent prognostic biomarker in the prediction of PAAD patients' survival.     

Transient receptor potential melastatin 2–antisense RNA is overexpresed in osteosarcoma and regulates cell proliferation and apoptosis

Accumulating evidence suggested that transient receptor potential melastatin 2–antisense RNA (TRPM2-AS) played crucial roles in the progression of human cancers. However, the role of TRPM2-AS was still unknown in osteosarcoma. The aim of this study was to explore the clinical significance of TRPM2-AS in osteosarcoma patients, and determine the role of TRPM2-AS on osteosarcoma cell proliferation and apoptosis. In our results, we identified a novel oncogenic long noncoding RNA TRPM2-AS, which was overexpressed in osteosarcoma tissues and cells, and correlated with advanced Enneking stage, large tumor size and high histological grade in osteosarcoma cases. Survival analysis indicated that osteosarcoma patients with high TRPM2-AS expression had an obviously shorter overall survival time than those with low TRPM2-AS expression. Loss-of-function studies suggested that suppression of TRPM2-AS expression inhibited osteosarcoma cell proliferation and induced cell apoptosis through upregulating cleaved caspase-3 and cleaved caspase-9 expression. In conclusion, TRPM2-AS acts as an oncogenic long noncoding RNA and predicts poor prognosis in osteosarcoma.