Investigation of the clinicopathological and prognostic role of circMTO1 in multiple cancers.

OBJECTIVE: To observe the prognostic value of circular RNA mitochondrial tRNA translation optimization 1 (circMTO1) in human tumors. METHODS: We searched multiple databases for related reports published before November 01, 2021. The OR/HR and 95% CI were extracted to explore the correlation between circMTO1 expression and clinicopathological features in various cancers. The stability of the results from meta-analysis was estimated via sensitivity analysis. We adopted Begg's funnel plots and Egger's test to appraise the potential bias of publication. Subgroup analysis for overall survival (OS) were also performed. RESULTS: 11 studies containing 1383 patients and 4 articles including 536 patients were enrolled. We found that low expression status of circMTO1 was significantly related to big tumor size (OR=2.11, 95% CI: 1.26-3.56, P<0.05), poor differentiation tumors (OR=2.09, 95% CI: 1.46-2.98, P<0.05), OS (HR=2.02, 95% CI: 1.63-2.50, P<0.05), disease-free survival (DFS) (HR=1.83, 95% CI: 1.27-2.56, P<0.05) of cancers. Subgroup analysis indicated that low expression status of circMTO1 was correlated with OS, regardless of analysis method, cut-off value, case number and NOS score. CONCLUSIONS: The low expression of circMTO1 may predict big tumor size, poor differentiation and worse outcome of cancer, presenting that circMTO1 may be a useful biomarker for prognosis of tumors.

Research Progress in Elucidating the Mechanisms Underlying Resveratrol Action on Lung Cancer.

Resveratrol has several functions, including protection of the heart and nervous system and exerts antidiabetic, anti-inflammatory, anti-aging, and antitumor effects. It is reported to impede the occurrence and development of tumors in cancer cell lines, animal models, and clinical studies. In vitro and in vivo experiments show that it exerts preventive or adjuvant therapeutic effects in pancreatic, colorectal, prostate, liver, and lung cancers. Mechanistic research reports show that resveratrol can induce tumor cell apoptosis and autophagy, inhibit cell cycle and angiogenesis, regulate nuclear factors and cyclooxygenase signal transduction pathways, and inhibit carcinogens' metabolic activation and alter tumor-related expression patterns; anti-oxidation affects tumor cell proliferation, metastasis, and apoptosis. However, the exact mechanism underlying its action remains unclear. This review highlights multiple aspects of the biological impacts and mechanisms underlying resveratrol action on the occurrence and development of lung cancer.

Gene Expression Microarray Data Identify Hub Genes Involved in Osteoarthritis.

The present study was performed to explore the underlying molecular mechanisms and screen hub genes of osteoarthritis (OA) via bioinformatics analysis. In total, twenty-five OA synovial tissue samples and 25 normal synovial tissue samples were derived from three datasets, namely, GSE55457, GSE55235, and GSE1919, and were used to identify the differentially expressed genes (DEGs) of OA by R language. The Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis of DEGs were conducted using the Database for Annotation, Visualization, and Integrated Discovery (DAVID). A Venn diagram was built to show the potential hub genes identified in all three datasets. The STRING database was used for constructing the protein-protein interaction (PPI) networks and submodules of DEGs. We identified 507 upregulated and 620 downregulated genes. Upregulated DEGs were significantly involved in immune response, MHC class II receptor activity, and presented in the extracellular region, while downregulated DEGs were mainly enriched in response to organic substances, extracellular region parts, and cadmium ion binding. Results of KEGG analysis indicated that the upregulated DEGs mainly existed in cell adhesion molecules (CAMs), while downregulated DEGs were significantly involved in the MAPK signaling pathway. A total of eighteen intersection genes were identified across the three datasets. These include Nell-1, ATF3, RhoB, STC1, and VEGFA. In addition, 10 hub genes including CXCL12, CXCL8, CCL20, and CCL4 were found in the PPI network and module construction. Identification of DEGs and hub genes associated with OA may be helpful for revealing the molecular mechanisms of OA and further promotes the development of relevant biomarkers and drug targets.

Comprehensive analysis of expression and prognosis for LMNB family genes in human sarcoma.

ABSTRACT: Previous studies indicated that lamin proteins were thought to be related to gene expression, chromatin structure, and unclear stability. There are 2 types of vertebrate lamins, including A and B. The 2 B type proteins are encoded by lamin B1 (LMNB1) and lamin B2 (LMNB2). The LMNBs factor has been found to be associated with the development of multiple tumors, but its association with sarcoma has been barely mentioned.The transcription levels of LMNBs were analyzed via Oncomine database. Gene Expression Profiling Interactive Analysis (GEPIA) dataset was adopted to analyze the differential expression of LMNBs in sarcoma. Cancer Cell Line Encyclopedia dataset was used to explore the expression of LMNBs in sarcoma cell line. We analyzed the prognostic value of LMNBs in GEPIA and Kaplan-Meier Plotter. Oncomine and GEPIA datasets were also used to detect the relationship between LMNBs and their co-expressed genes. We used the Database for Annotation, Visualization and Integrated Discovery to conduct the Gene Ontology analysis of LMNBs and their co-expressed genes. Kyoto Encyclopedia of Genes and Genomes was also used to analyze the pathway of LMNBs.LMNB1 and LMNB2 were reported to be hyperexpressed in sarcoma. The expression of LMNBs was elevated in various sarcoma cell lines. According to the results, we observed that LMNBs were connected to the poor overall survival, recurrence-free survival, and disease-free survival of sarcoma patients.This study indicated that hyperexpression of LMNBs was significantly related to worse outcome of sarcoma, LMNB1 and LMNB2 were expected to become potential biomarkers for human.

The role of ceRNA-mediated diagnosis and therapy in hepatocellular carcinoma.

Hepatocellular carcinoma (HCC) is one of the leading causes of cancer-related death worldwide due to its high degree of malignancy, high incidence, and low survival rate. However, the underlying mechanisms of hepatocarcinogenesis remain unclear. Long non coding RNA (lncRNA) has been shown as a novel type of RNA. lncRNA by acting as ceRNA can participate in various biological processes of HCC cells, such as tumor cell proliferation, migration, invasion, apoptosis and drug resistance by regulating downstream target gene expression and cancer-related signaling pathways. Meanwhile, lncRNA can predict the efficacy of treatment strategies for HCC and serve as a potential target for the diagnosis and treatment of HCC. Therefore, lncRNA serving as ceRNA may become a vital candidate biomarker for clinical diagnosis and treatment. In this review, the epidemiology of HCC, including morbidity, mortality, regional distribution, risk factors, and current treatment advances, was briefly discussed, and some biological functions of lncRNA in HCC were summarized with emphasis on the molecular mechanism and clinical application of lncRNA-mediated ceRNA regulatory network in HCC. This paper can contribute to the better understanding of the mechanism of the influence of lncRNA-mediated ceRNA networks (ceRNETs) on HCC and provide directions and strategies for future studies.

Clinicopathologic and prognostic roles of circular RNA plasmacytoma variant translocation 1 in various cancers.

OBJECTIVE: To explore the clinicopathologic and prognostic significance of circular RNA plasmacytoma variant translocation 1 (circPVT1) in various cancers. METHODS: Several databases were searched for eligible studies published before March 01, 2021. The pooled odds ratios (ORs) with 95% confidence interval (95% CI) were calculated to assess the association between circPVT1 expression and prognostic outcomes of tumor including age, gender, clinical stage, tumor size, metastasis and overall survival. Begg's funnel plots and Egger's test were used to evaluate the publication bias. The robustness of our results was assessed using sensitivity analysis. RESULTS: Ten studies comprising a total of 878 patients with cancer were included in this meta-analysis. The results showed that the high expression of circPVT1 was significantly related to clinical stage (OR=3.44, 95% CI: 2.40-4.94, P<0.05), tumor size (OR=2.29, 95% CI: 1.38-3.79, P<0.05), metastasis (OR=2.97, 95% CI: 2.06-4.28, p<0.05) and overall survival of cancer (OR=3.30, 95% CI: 2.26-4.84, p<0.05), but not associated with age and gender of patients with tumor. No publication bias was found. CONCLUSIONS: High expression of circPVT1 may predict an advanced clinical stage and poor prognosis of tumor, suggesting that circPVT1 may serve as a potential prognostic marker in cancers.