Identification of a novel m6A-related lncRNAs signature and immunotherapeutic drug sensitivity in pancreatic adenocarcinoma.

BACKGROUND: Pancreatic adenocarcinoma (PDAC) ranks as the fourth leading cause for cancer-related deaths worldwide. N6-methyladenosine (m6A) and long non-coding RNAs (lncRNAs) are closely related with poor prognosis and immunotherapeutic effect in PDAC. The aim of this study is to construct and validate a m6A-related lncRNAs signature and assess immunotherapeutic drug sensitivity in PDAC. METHODS: RNA-seq data for 178 cases of PDAC patients and 167 cases of normal pancreatic tissue were obtained from TCGA and GTEx databases, respectively. A set of 21 m6A-related genes were downloaded based on the previous report. Co-expression network was conducted to identify m6A-related lncRNAs in PDAC. Cox analyses and least absolute shrinkage and selection operator (Lasso) regression model were used to construct a risk prognosis model. The relationship between signature genes and immune function was explored by single-sample GSEA (ssGSEA). The tumor immune dysfunction and exclusion (TIDE) score and tumor mutation burden (TMB) were utilized to evaluate the response to immunotherapy. Furthermore, the expression levels of 4 m6A-related lncRNAs on PDAC cell lines were measured by the quantitative real-time PCR (qPCR). The drug sensitivity between the high- and low-risk groups was validated using PDAC cell lines by Cell-Counting Kit 8 (CCK8). RESULTS: The risk prognosis model was successfully constructed based on 4 m6A-related lncRNAs, and PDAC patients were divided into the high- and low-risk groups. The overall survival (OS) of the high-risk groups was more unfavorable compared with the low-risk groups. Receiver operating characteristic (ROC) curves demonstrated that the risk prognosis model reasonably predicted the 2-, 3- and 5-year OS of PDAC patients. qPCR analysis confirmed the decreased expression levels of 4 m6A-related lncRNAs in PDAC cells compared to the normal pancreatic cells. Furthermore, CCK8 assay revealed that Phenformin exhibited higher sensitivity in the high-risk groups, while Pyrimethamine exhibited higher sensitivity in the low-risk groups. CONCLUSION: The prognosis of patients with PDAC were well predicted in the risk prognosis model based on m6A-related lncRNAs, and selected immunotherapy drugs have potential values for the treatment of pancreatic cancer.

Prevalence of comorbidities in chronic obstructive pulmonary disease patients: A meta-analysis.

BACKGROUND: This study compares the prevalence rates of comorbidities between chronic obstructive pulmonary disease (COPD) and non-COPD control patients reported in literature. METHOD: Literature was searched in several electronic databases. After the selection of studies by following précised eligibility criteria, meta-analyses of odds ratios (ORs) were carried out with subgroup and sensitivity analyses under random effects model. RESULTS: Eleven studies (47,695,183 COPD and 47,924,876 non-COPD control patients' data) were used for meta-analysis. Average age of COPD patients was 66.66 ±â€Š8.72 years of whom 55.4 ±â€Š11.9% were males. The prevalence of cardiovascular comorbidities [OR 1.90, 95% confidence interval (95% CI) 1.59-2.28; P < .00001], cerebrovascular comorbidities (OR 1.84, 95% CI 1.47-2.31; P < .00001), hypertension (OR 1.45, 95% CI 1.31-1.61; P < .00001), diabetes mellitus (OR 1.22, 95% CI 1.07-1.38; P = .003), neurological and psychiatric disorders (OR 1.78, 95% CI 1.48-2.14; P < .00001), gut and renal disorders (OR 1.96, 95% CI 1.43-2.68; P < .00001), musculoskeletal disorders (OR 1.51, 95% CI 1.27-1.78; P < .00001), non-COPD respiratory comorbidities (OR 2.81, 95% CI 2.52-3.14; P < .00001), and cancer (OR 1.67, 95% CI 1.25-2.23; P = .0005) were significantly higher in COPD patients than in non-COPD controls. CONCLUSION: COPD is associated with significantly higher comorbidities than in other diseases that should be taken into consideration in COPD control strategies.