Objective To investigate the expression patterns of the perilipin (PLIN) gene family in breast cancer and their associations with immune infiltration and prognosis, thereby identifying potential diagnostic, prognostic, and immunotherapeutic targets for breast cancer. Methods RNA-sequencing data and corresponding clinical information for breast cancer patients were obtained from The Cancer Genome Atlas and the Genotype-Tissue Expression databases. Differential expression of PLIN1-PLIN5 was analyzed using the Wilcoxon test. Receiver operator characteristic curves were generated to evaluate diagnostic performance, and protein expression levels were validated using the Human Protein Atlas database. Associations between gene expression and clinicopathological characteristics were assessed using UALCAN and Bc-GenExMiner v4.5. Prognostic value was evaluated using the Kaplan-Meier Plotter database. The CIBERSORT algorithm was applied to quantify the relative abundance of 22 immune cell types. Pearson correlation analysis was performed to explore the relationship between PLIN1-PLIN5 expression and immune infiltration, followed by functional enrichment analysis. Results Compared with normal breast tissues, PLIN1, PLIN2, PLIN4, and PLIN5 were significantly downregulated in breast cancer tissues, whereas PLIN3 was upregulated. Low expression of PLIN1, PLIN4, and PLIN5 was significantly associated with shorter overall survival and relapse-free survival. Immune infiltration analysis revealed that members of the PLIN family were significantly correlated with multiple immune cell subsets within the tumor immune microenvironment. Specifically, PLIN1 and PLIN5 expression showed positive correlations with activated CD4+ T cells, M1 macrophages, and activated myeloid dendritic cells. PLIN3 expression was positively correlated with M1 macrophages, activated natural killer cells, and CD8+ T cells, but negatively correlated with M2 macrophages. Functional enrichment analysis indicated that PLIN-related genes were enriched in epithelial-mesenchymal transition, inflammatory response, and transforming growth factor-β signaling pathways, suggesting that the PLIN family may participate in immune evasion processes in breast cancer by regulating immune cell recruitment. Conclusions Comprehensive bioinformatics analysis indicates that PLIN1, PLIN4, and PLIN5 may serve as promising prognostic biomarkers for breast cancer and are closely linked to immune infiltration in breast cancer, suggesting their potential as therapeutic targets.
ObjectiveTo systematically review the prevalence of osteoarthritis in Chinese aged 40 and above from January 2000 to December 2019.MethodsPubMed, ScienceDirect, Wiley Online Library, The Cochrane Library, CBM, VIP, CNKI and WanFang Data databases were electronically searched to collect cross-sectional studies on osteoarthritis in Chinese aged 40 and above from January 1st, 2000 to December 31st, 2019. Two reviewers independently screened literature, extracted data and assessed risk of bias of included studies. Meta-analysis was then performed using R 3.5.2 software.ResultsA total of 29 cross-sectional studies with a total sample of 60 711 cases and 19 707 patients were included. The results of meta-analysis showed that, the crude prevalence of osteoarthritis in Chinese aged 40 and over was 38.46% (95%CI 24.31% to 46.22%). Subgroup analysis results showed that the prevalence of lumbar osteoarthritis was the highest (24.79%, 95%CI 13.28% to 27.37%), followed by knee osteoarthritis prevalence (20.50%, 95%CI 14.51% to 27.23%) which increased with age. The prevalence of knee osteoarthritis in females (25.14%, 95%CI 19.54% to 31.19%) was higher than that in males (18.99%, 95%CI 13.86% to 24.71%). The prevalence of knee and lumbar osteoarthritis in rural areas was higher than that in urban areas. The prevalence of knee osteoarthritis in western China (23.59%, 95%CI 18.34% to 30.35%) was higher than that in eastern China (18.36%, 95%CI 12.43% to 27.92%) and central China (15.54%, 95%CI 11.22% to 21.53%). The prevalence of lumbar osteoarthritis in western China (31.17%, 95%CI 19.21% to 50.60%) was higher than that in eastern China (24.38%, 95%CI 16.26% to 36.54%). The incidence of cervical osteoarthritis in the eastern China (20.49%, 95%CI 13.90% to 30.21%) was higher than that in the western China (12.32% 95%CI 8.09% to 18.75%). The prevalence of hand osteoarthritis in western China (6.85%, 95%CI 2.71% to 8.13%) was higher than that in eastern China (2.7%, 95%CI 1.33% to 5.48%).ConclusionsCurrent evidence shows that the prevalence of osteoarthritis in Chinese aged 40 and above is high, and the prevalence of lumbar osteoarthritis is the highest, and the prevalence in western China is higher than that in eastern and central China, followed by knee osteoarthritis, in which the prevalence in females, rural areas, and western China is high. Due to limited quality and quantity of the included studies, more high quality studies are required to verify above conclusion.
Objective To explore the diagnostic value of miRNAs for pancreatic cancer. Methods PubMed, Scopus, Web of Science, CBM, CNKI, WanFang Data and VIP databases were retrieved from inception to December 31st 2015, to collect diagnostic accuracy studies about miRNAs for pancreatic cancer. Two reviewers independently screened literature, extracted data and assessed the risk of bias of included studies by using the QUADAS-2 tool. Then meta-analysis was performed using MetaDiSc 1.4 and Stata 12.0 softwares. Results A total of 40 articles involving 109 studies were included. The results of meta-analysis showed that the pooled Sen, Spe, +LR, –LR and DOR were 0.81 (95%CI 0.80 to 0.82), 0.77 (95%CI 0.75 to 0.78), 3.15 (95%CI 2.78 to 3.58), 0.27 (95%CI 0.24 to 0.31) and 13.58 (95%CI 10.89 to 16.94), respectively. The AUC of SROC was 0.86 (95%CI 0.84 to 0.88). Subgroups analysis showed that: as to diagnostic accuracy, Caucasian was superior to Asian (AUC=0.89vs. 0.84); multiple-miRNAs profiling-based assays was superior to single miRNA assays (AUC=0.91vs. 0.84). Conclusion Current evidence suggests that miRNA has potential diagnostic value for pancreatic cancer, particularly using multiple miRNAs. Due to limited quality of the included studies, more high quality studies are needed to verify the above conclusion.