Critical Reviews in Eukaryotic Gene Expression最新文献

Non-small-cell lung cancer (NSCLC) is a malignancy with high overall morbidity and mortality due to a lack of reliable methods for early diagnosis and successful treatment of the condition. We identified genes that would be valuable for the diagnosis and prognosis of lung cancer. Common DEGs (DEGs) in three GEO datasets were selected for KEGG and GO enrichment analysis. A protein-protein interaction (PPI) network was constructed using the STRING database, and molecular complex detection (MCODE) identified hub genes. Gene expression profiling interactive analysis (GEPIA) and the Kaplan-Meier method analyzed hub genes expression and prognostic value. Quantitative PCR and western blotting were used to test for differences in hub gene expression in multiple cell lines. The CCK-8 assay was used to determine the IC50 of the AURKA inhibitor CCT137690 in H1993 cells. Transwell and clonogenic assays validated the function of AURKA in lung cancer, and cell cycle experiments explored its possible mechanism of action. Overall, 239 DEGs were identified from three datasets. AURKA, BIRC5, CCNB1, DLGAP5, KIF11, and KIF15 had shown great potential for lung cancer diagnosis and prognosis. In vitro experiments suggested that AURKA significantly influenced the proliferation and migration of lung cancer cells and activities related to the dysregulation of the cell cycle. AURKA, BIRC5, CCNB1, DLGAP5, KIF11, and KIF15 may be critical genes that influence the occurrence, development, and prognosis of NSCLC. AURKA significantly affects the proliferation and migration of lung cancer cells by disrupting the cell cycle.

Long non-coding RNA LMCD1 antisense RNA 1 (LMCD1-AS1) has recently been reported to participate in the pathogenesis of several tumors, including thyroid cancer and osteosarcoma. However, the clinical significance of LMCD1-AS1 and the related biological function have not been reported in cervical cancer (CC). In this study, we observed that LMCD1-AS1 expression was highly expressed in CC specimens compared with adjacent normal specimens using quantitative real-time PCR. Chi-square test showed that high LMCD1-AS1 expression was correlated with FIGO stage and lymph node metastasis. Kaplan-Meier survival analysis showed poor prognosis with high LMCD1-AS1 expression. Moreover, FIGO stage, lymph node metastasis and high LMCD1-AS1 expression could be independent prognostic factors for the patients with CC. Functionally, knockdown of LMCD1-AS1 suppressed the proliferation, migration and invasion of two CC cell lines (HeLa and CaSki) cells by CCK-8 assay, colony formation assay, and Transwell assay. Knockdown of LMCD1-AS1 upregulated E-cadherin expression and downregulated the expression of PCNA, N-cadherin, and imentin in HeLa and CaSki cells. Luciferase reporter assay and RIP assay were conducted to evaluate the downstream molecular mechanisms of LMCD1-AS1. LMCD1-AS1 possesses a putative miR-873-3p-binding site and confirmed the negative correlation between them in CC tissues. Moreover, overexpression of LMCD1-AS1 promoted CC cell proliferation and EMT process through the regulation of miR-873-3p. In addition, depletion of LMCD1-AS1 reduced tumor growth and Ki-67 protein expression. In summary, our findings indicate that LMCD1-AS1 might exert an oncogenic role in CC and targeting LMCD1-AS1 might be a promising therapeutic target for CC treatment.

This study is aimed to investigate the clinical significance and biological function of long non-coding RNA somatostatin receptor 5 antisense RNA 1 (SSTR5-AS1) in prostate cancer (PCa). Here, we found that SSTR5-AS1 expression was upregulated in PCa tissues compared with adjacent tissues using quantitative real time PCR analysis. The results from Chi-square test showed that increased SSTR5-AS1 expression levels were correlated with preoperative prostate specific antigen, tumor stage and lymph node metastasis. Kaplan-Meier survival curve described patients with high SSTR5-AS1 expression level showed poor survival. Univariate and multivariate cox regression analysis further identified SSTR5-AS1 expression as a poor independent prognostic factor for PCa patients. Cell Counting Kit-8 (CCK-8) assay, 5-ethynyl-2'-deoxyuridine incorporation assay, wound-healing assay and Transwell assay were performed to investigate the functional role of SSTR5-AS1 in PCa cells. The in vitro results indicated that SSTR5-AS1 knockdown inhibited, while SSTR5-AS1 overexpression promoted the proliferation, migration, and invasion of PCa cells. At molecular level, SSTR5-AS1 knockdown downregulated the protein levels of proliferating cell nuclear antigen, N-cadherin and vimentin, and upregulated E-cadherin expression in PC-3 cells. SSTR5-AS1 overexpression obtained opposite results on these protein markers in DU145 cells. In conclusion, these findings indicated that SSTR5-AS1 promotes PCa cell behaviors, which might provide a potential therapeutic target for PCa patients.

Gouty arthritis (GA), one of the most common forms of inflammatory arthritis, is characterized by elevated serum uric acid concentrations and the consequent deposition of monosodium urate crystals. Under low-grade inflammatory stress, cells tend to adapt to the microenvironment by reprogramming their metabolic pathways. Here we review the aberrant metabolic responses to the inflammatory environment in immune and tissue cells in distinct phases of GA. Regulation of these pathways is implicated in metabolic alterations including mitochondrial dysfunction, changes in the glycolytic pathway, and alteration of lipid, uric acid, and bone metabolism among others. Investigations of how these alterations lead to proinflammatory and anti-inflammatory effects in each period of GA have revealed links to its pathogenesis. Knowledge gained may open up new opportunities for diagnosis, treatment and prognosis of GA and offer rationale for further investigation into the mechanisms underlying the progression of the disease.

Tumor angiogenesis is considered to be an important part of the mechanism of tumor progression and metastasis, and its specific function in lung adenocarcinoma has not been fully studied. In this study, we used the transcriptome and genome data of lung adenocarcinoma patients to analyze the expression of 36 angiogenesis regulators in lung adenocarcinoma. Consensus clustering analysis divided lung adenocarcinoma samples into 4 subtypes, A, B, C, and D, and the expression of most angiogenesis regulators in subtype B was higher than that in other subtypes. Immunological analysis indicated that subtype B is likely to display the characteristics of a hot tumor with a more active TME. With the help of Lasso-Cox regression analysis, we successfully constructed a risk model involving five Angiogenesis Regulators genes (CCND2, JAG1, MSX1, STC1, TIMP1), which will be helpful for clinical personalized treatment and prognosis prediction. In addition, JAG1 has the highest mutation rate in tumors, and its cancer-promoting function is reflected in a variety of tumors, which provides important clues for the development of new broad-spectrum anti-cancer targets in the future. We successfully constructed a risk model involving five angiogenesis regulators genes (CCND2, JAG1, MSX1, STC1, TIMP1), which may be helpful for clinical personalized treatment and prognosis prediction. In addition, JAG1 has the highest mutation rate in tumors and plays a leading role in the protein interaction network. Its tumor-promoting function is reflected in a variety of tumors and may become a broad-spectrum anti-cancer target in the future.

Non-small-cell lung cancer (NSCLC) is the major subtype of lung cancer, with a series of long non-coding RNAs (lncRNAs), microRNAs (miRNAs), and proteins involved in its pathogenesis. This study sought to investigate the functionality of lncRNA EPB41L4A antisense RNA 1 (lncRNA EPB41L4A-AS1) in the proliferation of NSCLC cells and provide a novel theoretical reference for NSCLC treatment. Levels of lncRNA EPB41L4A-AS1, miR-105-5p, and GTPase, IMAP family member 6 (GIMAP6) in tissues and cells were measured by RT-qPCR and the correlation between lncRNA EPB41L4A-AS1 and clinicopathological characteristics was analyzed. Cell proliferation was evaluated by cell counting kit-8 and colony formation assays. The subcellular localization of lncRNA EPB41L4A-AS1 was analyzed by the subcellular fractionation assay and the binding of miR-105-5p to lncRNA EPB41L4A-AS1 or GIMAP6 was analyzed by dual-luciferase and RNA pull-down assays. Functional rescue experiments were performed to analyze the role of miR-105-5p/GIMAP6 in NSCLC cell proliferation. lncRNA EPB41L4A-AS1 and GIMAP6 were downregulated while miR-105-5p was upregulated in NSCLC tissues and cells. lncRNA EPB41L4A-AS1 was correlated with tumor size and clinical staging and its overexpression reduced NSCLC cell proliferation. lncRNA EPB41L4A-AS1 was negatively correlated with miR-105-5p and positively correlated with GIMAP6 in NSCLC tissues, and lncRNA EPB41L4A-AS1 sponged miR-105-5p to promote GIMAP6 transcription in NSCLC cells. Overexpression of miR-105-5p or knockdown of GIMAP6 reversed the inhibition of lncRNA EPB41L4A-AS1 overexpression on NSCLC cell proliferation. lncRNA EPB41L4A-AS1 was downregulated in NSCLC and mitigated NSCLC cell proliferation through the miR-105-5p/GI-MAP6 axis.

As a newly discovered mechanism of cell death, disulfidptosis is expected to help diagnose and treat bladder cancer patients. First, data obtained from public databases were analyzed using bioinformatics techniques. SVA packages were used to combine data from different databases to remove batch effects. Then, the differential analysis and COX regression analysis of ten disulfidptosis-related genes identified four prognostically relevant differentially expressed genes which were subjected to Lasso regression for further screening to obtain model-related genes and output model formulas. The predictive power of the prognostic model was verified and the immunohistochemistry of model-related genes was verified in the HPA database. Pathway enrichment analysis was performed to identify the mechanism of bladder cancer development and progression. The tumor microenvironment and immune cell infiltration of bladder cancer patients with different risk scores were analyzed to personalize treatment. Then, information from the IMvigor210 database was used to predict the responsiveness of different risk patients to immunotherapy. The oncoPredict package was used to predict the sensitivity of patients at different risk to chemotherapy drugs, and its results have some reference value for guiding clinical use. After confirming that our model could reliably predict the prognosis of bladder cancer patients, the risk scores were combined with clinical information to create a nomogram to accurately calculate the patient survival rate. A prognostic model containing three disulfidptosis-related genes (NDUFA11, RPN1, SLC3A2) was constructed. The functional enrichment analysis and immune-related analysis indicated patients in the high-risk group were candidates for immunotherapy. The results of drug susceptibility analysis can guide more accurate treatment for bladder cancer patients and the nomogram can accurately predict patient survival. NDUFA11, RPN1, and SLC3A2 are potential novel biomarkers for the diagnosis and treatment of bladder cancer. The comprehensive analysis of tumor immune profiles indicated that patients in the high-risk group are expected to benefit from immunotherapy.

The development and progression of atherosclerosis represent a chronic process involving complex molecular interactions. Therefore, identifying the potential hub genes and pathways contributing to coronary artery disease (CAD) development is essential for understanding its underlying molecular mechanisms. To this end, we performed transcriptome analysis of peripheral venous blood collected from 100 patients who were divided into four groups according to disease severity, including 27 patients in the atherosclerosis group, 22 patients in the stable angina group, 35 patients in the acute myocardial infarction group, and 16 controls. Weighted gene co-expression network analysis was performed using R programming. Significant module-trait correlations were identified according to module membership and genetic significance. Metascape was used for the functional enrichment of differentially expressed genes between groups, and the hub genes were identified via protein-protein interaction network analysis. The hub genes were further validated by analyzing Gene Expression Omnibus (GSE48060 and GSE141512) datasets. A total of 9,633 messenger ribonucleic acids were detected in three modules, among which the blue module was highly correlated with the Gensini score. The hub genes were significantly enriched in the myeloid leukocyte activation pathway, suggesting its important role in the progression of atherosclerosis. Among these genes, the Mediterranean fever gene (MEFV) may play a key role in the progression of atherosclerosis and CAD severity.

Hepatocellular carcinoma (HCC) is one common cancer in the world. Previous studies have shown that miR-17 family members are elevated in most tumors and promote tumor progression. However, there is no comprehensive analysis of the expression and functional mechanism of the microRNA-17 (miR-17) family in HCC. The aim of this study is to comprehensively analyze the function of the miR-17 family in HCC and the molecular mechanism of its role. Bioinfoimatics analysis of the miR-17 family expression profile and its relationship to clinical significance using The Cancer Genome Atlas (TCGA) database, and this result was confirmed using quantitative real-time polymerase chain reaction. miR-17 family members were tested for functional effects through transfection of miRNA precursors and inhibitors, and monitoring cell viability and migration by cell count and wound healing assays. In addition, we using dual-luciferase assay and Western blot demonstrated the targeting relationship between the miRNA-17 family and RUNX3. These members of miR-17 family were highly expressed in HCC tissues, and the overexpression of the miR-17 family promoted the proliferation and migration of SMMC-7721 cells, whereas treatment with anti-miR17 inhibitors caused the opposite effects. Notably, we also found that inhibitors anti-each member of miR-17 can suppress the expression of the entire family member. In addition, they can bind to the 3' untranslated region of RUNX3 to regulate its expression at the translational level. Our results proved that miR-17 family has oncogenic characteristics, overexpression every member of the family contributed to HCC cell proliferation and migration by reducing the translation of RUNX3.