BackgroundLong non-coding RNA (LncRNA) plays an important role in the occurrence and development of hepatocellular carcinoma (HCC). This study aims to establish an immune-related LncRNA model for risk assessment and prognosis prediction in HCC patients.MethodsHepatocellular carcinoma patient samples with complete clinical data and corresponding whole transcriptome expression were obtained from the Cancer Genome Atlas (TCGA). Immune-related genes were acquired from the Gene Set Enrichment Analysis (GSEA) website and matched with LncRNA in the TCGA to get immune-related LncRNA. Least Absolute Shrinkage and Selection Operator (LASSO) regression was used for screening the candidate LncRNAs and calculating the risk coefficient to establish the prognosis model. Patients were divided into a high-risk group and a low-risk group depending on the median risk score. The reliability of the prediction was evaluated in the validation cohort and the whole cohort. GSEA and principal component analysis were used for function evaluation.ResultsA total of 319 samples met the screening criteria and were randomly distributed across the training cohort and the validation cohort. After comparison with the IMMUNE_RESPONSE gene set and the IMMUNE_SYSTEM_PROCESS gene set, a total of 3094 immune-related LncRNAs were screened. Ultimately, four immune-related LncRNAs were used to construct a formula using LASSO regression. According to the formula, the low-risk group showed a higher survival rate than the high-risk group in the validation cohort and the whole cohort. The receiver operating characteristic curves data demonstrated that the risk score was more specific than other traditional clinical characteristics in predicting the 5-year survival rate for HCC.ConclusionThe four-immune-related-LncRNA model can be used for survival prediction in HCC and guide clinical therapy.

The present study aimed to evaluate the efficacy of psychological nursing of patients with stroke in China. The Embase, PubMed, Cochrane Library, CNKI, and Wanfang databases were searched from inception to February 1, 2020. Randomized controlled trials (RCTs) reporting the efficacy of psychological nursing of patients with stroke were included. Revman 5.3 and Stata 15.0 were used for data analysis. Twelve RCTs and 1,013 patients with stroke were included in this systematic review and meta-analysis. The results revealed a significant difference in the Hamilton depression score between the psychological nursing and usual care groups. The meta-analysis of three studies (n = 235) that used a depressive symptom control of ≥25% as the outcome measure showed a significant difference between the two groups. In addition, significant differences were detected in the National Institute of Health stroke scale score and activities of daily living score between the two groups. The present meta-analysis suggests that in China, compared to the usual care, psychological nursing is more effective for alleviating depressive symptoms, improving neurological rehabilitation, and recovering the ability of daily life.