Background: One of the most frequent malignancies of the digestive system is stomach adenocarcinoma (STAD). Recent research has demonstrated how cuproptosis (copper-dependent cell death) differs from other cell death mechanisms that were previously understood. Cuproptosis regulation in tumor cells could be a brand-new treatment strategy. Our goal was to create a cuproptosis-related lncRNA signature. Additionally, in order to evaluate the possible immunotherapeutic advantages and drug sensitivity, we attempted to study the association between these lncRNAs and the tumor immune microenvironment of STAD tumors. Methods: The TCGA database was accessed to download the RNA sequencing data, genetic mutations, and clinical profiles for TCGA STAD. To locate lncRNAs related to cuproptosis and build risk-prognosis models, three techniques were used: co-expression network analysis, Cox-regression techniques, and LASSO techniques. Additionally, an integrated methodology was used to validate the models’ predictive capabilities. Then, using GO and KEGG analysis, we discovered the variations in biological functions between each group. The link between the risk score and various medications for STAD treatment was estimated using the tumor mutational load (TMB) and tumor immune dysfunction and rejection (TIDE) scores. Result: We gathered 22 genes linked to cuproptosis based on the prior literature. Six lncRNAs related to cuproptosis were used to create a prognostic marker (AC016394.2, AC023511.1, AC147067.2, AL590705.3, HAGLR, and LINC01094). After that, the patients were split into high-risk and low-risk groups. A statistically significant difference in overall survival between the two groups was visible in the survival curves. The risk score was demonstrated to be an independent factor affecting the prognosis by both univariate and multivariate Cox regression analysis. Different risk scores were substantially related to the various immunological states of STAD patients, as further evidenced by immune cell infiltration and ssGSEA analysis. The two groups had differing burdens of tumor mutations. In addition, immunotherapy was more effective for STAD patients in the high-risk group than in the low-risk group, and risk scores for STAD were substantially connected with medication sensitivity. Conclusions: We discovered a marker for six cuproptosis-associated lncRNAs linked to STAD as prognostic predictors, which may be useful biomarkers for risk stratification, evaluation of possible immunotherapy, and assessment of treatment sensitivity for STAD.
Acupoint application has been used in China to treat various illnesses for ages. In cough variant asthma (CVA), the main clinical sign is episodic night cough. Acupoint application therapy of traditional Chinese medicine is an effective procedure to treat cough variant asthma. The current study is designed to systematically assess the effectiveness of acupoint application therapy in traditional medicine for patients with cough variant asthma. The comprehensive computer retrieval related to comparison between acupoint application and nonacupoint application therapy for cough variant asthma was carried out in various databases ( n = 8 ) from database establishment until July 4, 2021. Both English and Chinese articles about original investigations in humans were searched. Two independent authors extracted the data, and disagreements were resolved by discussion. ReviewManager 5.3 software provided by Cochrane did a meta-analysis of selected randomized controlled trials (RCTs). Quality of experimentation and risk bias were analyzed by the Cochrane Handbook tool. A total of thirteen randomized controlled clinical articles along with 1237 patients were included in the study. Findings of meta-analysis showed that compared with nonacupoint application treatment, the total effective rate of acupoint application treatment is more effective ( RD = 0.13 , 95% CI (0.09, 0.17), Z = 6.70 , P < 0.00001 ). Besides, acupoint application can improve patients’ lung function, the lung function index FVC ( mean difference = 0.55 , 95% confidence interval (0.42, 0.68), Z = 8.40 , P < 0.00001 ), FEV1 ( MD = 0.35 , 95% CI (0.23, 0.47), Z = 5.86 , P < 0.00001 ), FEV1/FVC (%) ( MD = 12.68 , 95% CI (4.32, 21.03), Z = 2.97 , P = 0.003 ), FEV1 (%) ( MD = 8.63 , 95% CI (8.01, 9.25), Z = 27.44 , P < 0.00001 ), and PEF (day) ( MD = 0.62 , 95% CI (0.52, 0.71), Z = 12.40 , P < 0.00001 ) of patients treated by acupoint application therapy were increased. Moreover, acupoint application might lower the level of immunoglobulin E ( MD = − 54.58 , 95% CI (−63.54, −45.61), Z = 11.93 , P < 0.00001 ) and EOS ( MD = − 0.21 , 95% CI (−0.35, −0.06), Z = 2.77 , P = 0.006 ). The LCQ (Leicester cough questionnaire) total score of CVA patients was also increased ( MD = 2.30 , 95% CI (1.55, 3.06), Z = 5.98 , P < 0.00001 ). Acupoint application therapy is effective in controlling symptoms of CVA. It also has a positive effect in improving lung function and life quality of patients. It can reduce the eosinophil levels and peripheral blood IgE levels of patients as well.
BackgroundExploring the cancer risks of rheumatoid arthritis (RA) patients with disease-modifying anti-rheumatic drugs (DMARDs) can help detect, evaluate, and treat malignancies at an early stage for these patients. Thus, a comprehensive analysis was conducted to determine the cancer risk of RA patients using different types of DMARDs and analyze their relationship with tumor mutational burdens (TMBs) reflecting immunogenicity.MethodsA thorough search of PubMed, EMBASE, Web of Science, and Medline was conducted up to 20 August 2022. Standardized incidence ratios (SIRs) were constructed with a random-effect model to determine risks for different types of malignancies in comparison with the general population. We also analyzed the correlation between SIRs and TMBs using linear regression (LR).ResultsFrom a total of 22 studies, data on 371,311 RA patients receiving different types of DMARDs, 36 kinds of malignancies, and four regions were available. Overall cancer risks were 1.15 (SIR 1.15; 1.09–1.22; p < 0.001) and 0.91 (SIR 0.91; 0.72–1.14; p = 0.402) in RA populations using conventional synthetic DMARDs (csDMARDs) and biologic DMARDs (bDMARDs), respectively. RA patients taking csDMARDs displayed a 1.77-fold lung cancer risk (SIR 1.77; 1.50–2.09; p < 0.001), a 2.15-fold lymphoma risk (SIR 2.15; 1.78–2.59; p < 0.001), and a 1.72-fold melanoma risk (SIR 1.72; 1.26–2.36; p = 0.001). Correlation coefficients between TMBs and SIRs were 0.22 and 0.29 from those taking csDMARDs and bDMARDs, respectively.ConclusionWe demonstrated a cancer risk spectrum of RA populations using DMARDs. Additionally, TMBs were not associated with elevated cancer risks in RA patients following immunosuppressive therapy, which confirmed that iatrogenic immunosuppression might not increase cancer risks in patients with RA.InterpretationChanges were similar in cancer risk after different immunosuppressive treatments, and there was a lack of correlation between SIRs and TMBs. These suggest that we should look for causes of increased risks from the RA disease itself, rather than using different types of DMARDs.
Background: Corona virus disease 2019 (COVID-19) is caused by SARS-CoV-2, the pathogenic process of SARS-Cov-2 is related to the angiotensin-2 converting enzyme (ACE-2) on host cells. The genetic polymorphisms among different populations may influence the progression of COVID-19. However, the effects of IFNL4, ACE1, PKR, IFNG, and MBL2 in severe COVID-19 have not been systematically assessed.Methods: We will include all relevant English and Chinese studies by searching the following electronic databases: PubMed, MEDLINE, Embase, Web of Science, Scopus, the Cochrane Library, and Google Scholar before March 31, 2022. Two researchers will independently screen and extract the literature. The methodological quality of the included studies will be evaluated by the Cochrane Handbook for Systematic Reviews of Interventions.Result: This systematic review and meta-analysis will summarize the association of IFNL4, ACE1, PKR, IFNG, MBL2 genetic polymorphisms, and severe COVID-19. The results will be submitted to a peer-reviewed journal once completed. Conclusion:The conclusion of our study will provide evidence for the early prevention of severe COVID-19.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.