Background: There has been no report of prognostic signature based on immunerelated genes (IRGs). This study aimed to develop an IRG-based prognostic signature that could stratify patients with bladder cancer (BLCA). Methods: RNA-seq data along with clinical information on BLCA were retrieved from the Cancer Genome Atlas (TCGA) and gene expression omnibus (GEO). Based on TCGA dataset, differentially expressed IRGs were identified via Wilcoxon test. Among these genes, prognostic IRGs were identified using univariate Cox regression analysis. Subsequently, we split TCGA dataset into the training (n = 284) and test datasets (n = 119). Based on the training dataset, we built a least absolute shrinkage and selection operator (LASSO) penalized Cox proportional hazards regression model with multiple prognostic IRGs. It was validated in the training dataset, test dataset, and external dataset GSE13507 (n = 165). Additionally, we accessed the six types of tumor-infiltrating immune cells from Tumor Immune Estimation Resource (TIMER) website and analyzed the difference between risk groups. Further, we constructed and validated a nomogram to tailor treatment for patients with BLCA. Results: A set of 47 prognostic IRGs was identified. LASSO regression and identified seven BLCA-specific prognostic IRGs, i.e., RBP7, PDGFRA, AHNAK, OAS1, RAC3, EDNRA, and SH3BP2. We developed an IRG-based prognostic signature that stratify BLCA patients into two subgroups with statistically different survival outcomes [hazard ratio (HR) = 10, 95% confidence interval (CI) = 5.6-19, P < 0.001]. The ROC curve analysis showed acceptable discrimination with AUCs of 0.711, 0.754, and 0.772 at 1-, 3-, and 5year follow-up respectively. The predictive performance was validated in the train set, test set, and external dataset GSE13507. Besides, the increased infiltration of CD4 + T cells, CD8+ T cells, macrophage, neutrophil, and dendritic cells in the high-risk group (as defined by the signature) indicated chronic inflammation may reduce the survival chances of BLCA patients. The nomogram demonstrated to be clinically-relevant and effective with accurate prediction and positive net benefit.

Earthquake victims with SCI may achieve significantly improved functional rehabilitation functional outcomes on a formal, institutional-based physical rehabilitation programme.

Objective: To evaluate functional outcomes, health-related quality of life and life satisfaction in fracture victims 27 months after the 2008 Sichuan earthquake. Methods: A total of 390 earthquake survivors from 3 earthquake areas who sustained fractures were divided into early intervention, late intervention and control groups. Functional outcomes assessed included activities of daily living using the Modified Barthel Index and pain level with a visual analogue scale. Health-related quality of life was evaluated with the Medical Outcomes Study Short-Form 36 and life satisfaction using the Life Satisfaction Questionnaire. Results: Activities of daily living and life satisfaction in the intervention groups were significantly improved compared with the control group. Health-related quality of life was higher in early intervention subjects compared with controls. Group differences in pain level were not significant. In addition, the early and late intervention groups did not differ significantly in any of the measured outcomes. Good performance of activities of daily living and widowed marital status predicted high health-related quality of life, while pain level was associated with worsened outcomes. Rehabilitation therapy, remunerative employment and female gender were predictors of improved life satisfaction. Conclusion: Clinical effectiveness of physical rehabilitation intervention was demonstrated in fracture earthquake victims.

Special attention should be paid to cognitive and emotional function, occupational training and social integration during rehabilitation measures after earthquakes.