Objective The purpose of this study was to investigate the expression of human mitochondrial transcription termi-nation factor-3 ( hMTERF3) in non-small cell lung cancer ( NSCLS) and to analyze its clinicopathological significance. Methods The paraffin block samples used in this study included 65 cases of NSCLC and 32 cases of normal alveolar epithelial tissues. We determined the expressions of hMTERF3 in NSCLC and normal alveolar epithelial tis-sues by immunohistochemistry, calculate the survival rate using the Kaplan-Meier method, and analyzed the risk factors affecting the prognosis of NSCLC using the Cox Proportional Hazard Model. Results In the 65 cases of NSCLC, 31 ( 47. 69%) showed positive expression of hMTERF3. The total survival time was significantly shor-ter in the patients with a high than in those with a low hMTERF3 ex-pression ([30.39±3.35] vs [57.61±7.12] mo, P<0.05). The riskfactors affecting the prognosis of NSCLC included positive expression of hMTERF3 (HR=3.302, 95% CI:1.598-6.905) and lymph node metastasis (HR=4.052, 95% CI: 1.212-12.398). Conclusion hMTERF3 is overexpressed in NSCLC. Highly expressed hMTERF3 and lymph node metastasis reduce the survival time of NSCLC patients, suggesting that hMTERF3 may be a potential bio-marker for the prognosis of NSCLC.

Objective:To investigate the expression levels and clinical significance of collagen typeⅠ α1 chain (COL1A1) and collagen type Ⅰ α2 chain (COL1A2) in malignant pleural mesothelioma (MPM) tissues.Methods:In January 2020, MPM tissues and adjacent normal pleural tissues were collected from 26 MPM patients, and the expression levels of COL1A1 and COL1A2 genes in the tissues were determined by quantitative reverse transcription PCR, and the efficacy of both levels in diagnosing MPM was assessed using receiver operating characteristic (ROC) curves. The relationship between COL1A1 and COL1A2 gene expression and clinicopathological features was analyzed by the Cancer Genome Atlas (TCGA) database, and the relationship between the expression levels of both and overall survival (OS) and disease-free progression survival (DFS) of MPM patients was dynamically analyzed by gene expression profiling, and the factors affecting the prognosis of MPM patients were explored by Cox proportional risk regression model. The TIMER 2.0 platform was used to explore the relationship between COL1A1 and COL1A2 gene expression in MPM and tumor immune infiltrative cells.Results:Compared with normal pleural tissues, the expression of COL1A1 and COL1A2 genes was significantly increased in MPM tissues ( P<0.01) , and their expression was positively correlated ( P<0.001) . The ROC curves showed that the area under the curve for COL1A1 and COL1A2 expression levels diagnostic of MPM was 0.900 and 0.897, respectively. The expression of COL1A1 gene was correlated with tumor type in MPM patients ( P<0.05) , and COL1A2 gene expression was correlated with T stage in MPM patients ( P<0.05) . Both COL1A1 and COL1A2 gene expression were associated with OS in MPM patients (Logrank P<0.05) , but there was no significant correlation with DFS (Logrank P>0.05) . Cox multivariate analysis showed that patients with high COL1A1 and COL1A2 gene expression and biphasic mixed MPM had a higher risk of death ( P<0.05) . TIMER 2.0 platform analysis showed that COL1A1 and COL1A2 gene expression in MPM patients was positively correlated with macrophages, COL1A2 gene expression in MPM was negatively correlated with neutrophils ( P<0.05) . Conclusion:High expression of COL1A1 and COL1A2 genes in MPM tissues is valuable for diagnosis, disease prediction and prognostic assessment of MPM, and both may jointly contribute to the development of MPM.

Objective:To investigate the expression levels and clinical significance of collagen typeⅠ α1 chain (COL1A1) and collagen type Ⅰ α2 chain (COL1A2) in malignant pleural mesothelioma (MPM) tissues.Methods:In January 2020, MPM tissues and adjacent normal pleural tissues were collected from 26 MPM patients, and the expression levels of COL1A1 and COL1A2 genes in the tissues were determined by quantitative reverse transcription PCR, and the efficacy of both levels in diagnosing MPM was assessed using receiver operating characteristic (ROC) curves. The relationship between COL1A1 and COL1A2 gene expression and clinicopathological features was analyzed by the Cancer Genome Atlas (TCGA) database, and the relationship between the expression levels of both and overall survival (OS) and disease-free progression survival (DFS) of MPM patients was dynamically analyzed by gene expression profiling, and the factors affecting the prognosis of MPM patients were explored by Cox proportional risk regression model. The TIMER 2.0 platform was used to explore the relationship between COL1A1 and COL1A2 gene expression in MPM and tumor immune infiltrative cells.Results:Compared with normal pleural tissues, the expression of COL1A1 and COL1A2 genes was significantly increased in MPM tissues ( P<0.01) , and their expression was positively correlated ( P<0.001) . The ROC curves showed that the area under the curve for COL1A1 and COL1A2 expression levels diagnostic of MPM was 0.900 and 0.897, respectively. The expression of COL1A1 gene was correlated with tumor type in MPM patients ( P<0.05) , and COL1A2 gene expression was correlated with T stage in MPM patients ( P<0.05) . Both COL1A1 and COL1A2 gene expression were associated with OS in MPM patients (Logrank P<0.05) , but there was no significant correlation with DFS (Logrank P>0.05) . Cox multivariate analysis showed that patients with high COL1A1 and COL1A2 gene expression and biphasic mixed MPM had a higher risk of death ( P<0.05) . TIMER 2.0 platform analysis showed that COL1A1 and COL1A2 gene expression in MPM patients was positively correlated with macrophages, COL1A2 gene expression in MPM was negatively correlated with neutrophils ( P<0.05) . Conclusion:High expression of COL1A1 and COL1A2 genes in MPM tissues is valuable for diagnosis, disease prediction and prognostic assessment of MPM, and both may jointly contribute to the development of MPM.

Pleural mesothelioma （PM） is a rare malignant tumor originating from the pleura. Most patients are already in the advanced stage at the time of diagnosis， resulting in a low overall survival rate. MicroRNA （miRNA）， as key regulators of tumor epigenetic modification， have an intertwined interactive network with PM drug resistance. The mechanisms of drug resistance in PM to chemotherapeutic drugs include increasing drug efflux， reducing drug intake， enhancing DNA repair， and altering drug targets. The mechanisms of resistance to targeted therapy drugs include activating alternative signaling pathways， establishing a favorable tumor microenvironment， and triggering epithelial-mesenchymal transition. MiRNA plays a key part in the aforementioned resistance mechanisms， with some miRNAs promoting the drug sensitivity of cancer cells， while others contribute to increased drug resistance. In light of these key regulatory functions， targeting the dysregulated expression of endogenous miRNAs in the process of resistance formation using miRNA antagonists or miRNA mimics may be an effective therapeutic strategy to reverse drug resistance in PM.