Objective: Despite several clinicopathological factors being integrated as prognostic biomarkers, the individual variants and risk stratification have not been fully elucidated in lower grade glioma (LGG). With the prevalence of gene expression profiling in LGG, and based on the critical role of the immune microenvironment, the aim of our study was to develop an immune-related signature for risk stratification and prognosis prediction in LGG. Methods: RNA-sequencing data from The Cancer Genome Atlas (TCGA), Genome Tissue Expression (GTEx), and Chinese Glioma Genome Atlas (CGGA) were used. Immune-related genes were obtained from the Immunology Database and Analysis Portal (ImmPort). Univariate, multivariate cox regression, and Lasso regression were employed to identify differentially expressed immune-related genes (DEGs) and establish the signature. A nomogram was constructed, and its performance was evaluated by Harrell’s concordance index (C-index), receiver operating characteristic (ROC), and calibration curves. Relationships between the risk score and tumor-infiltrating immune cell abundances were evaluated using CIBERSORTx and TIMER. Results: Noted, 277 immune-related DEGs were identified. Consecutively, 6 immune genes (CANX, HSPA1B, KLRC2, PSMC6, RFXAP, and TAP1) were identified as risk signature and Kaplan–Meier curve, ROC curve, and risk plot verified its performance in TCGA and CGGA datasets. Univariate and multivariate Cox regression indicated that the risk group was an independent predictor in primary LGG. The prognostic signature showed fair accuracy for 3- and 5-year overall survival in both internal (TCGA) and external (CGGA) validation cohorts. However, predictive performance was poor in the recurrent LGG cohort. The CIBERSORTx algorithm revealed that naïve CD4⁺ T cells were significant higher in low-risk group. Conversely, the infiltration levels of M1-type macrophages, M2-type macrophages, and CD8⁺T cells were significant higher in high-risk group in both TCGA and CGGA cohorts. Conclusion: The present study constructed a robust six immune-related gene signature and established a prognostic nomogram effective in risk stratification and prediction of overall survival in primary LGG.

Purpose: We assessed the quality of life (qol) of nasopharyngeal carcinoma (npc) survivors with a survival time of more than 2 years in Fujian, China, and we analyzed factors influencing qol. Method: We calculated the prevalence of psychological distress and radiotherapy (rt)–induced symptoms in 216 npc survivors who participated in a cross-sectional survey. The European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire (version 3.0) was used to assess the qol of npc survivors. Multiple linear regression was applied to analyze the factors influencing qol. Results: The prevalence rates of rt-induced symptoms and psychological problems were 11.58% (95% ci: 7.21% to 15.58%) for difficulty in swallowing, 17.59% (95% ci: 12.51% to 22.67%) for mouth dryness or sores, 13.89% (95% ci: 9.28% to 18.50%) for nasal dryness or congestion, 18.52% (95% ci: 13.34% to 23.70%) for fatigue, 11.11% (95% ci: 6.92% to 15.30%) for frequent dizziness, 18.06% (95% ci: 12.93% to 23.19%) for decline in hearing, 14.81% (95% ci: 10.07% to 19.55%) for poor sleep quality, 18.52% (95% ci: 13.34% to 23.70%) for worry about disease recurrence, 18.98% (95% ci: 13.75% to 24.21%) for anxiety, and 25.00% (95% ci: 19.23% to 30.77%) for depression. Mean survival times were 4.32 ± 2.63 years in patients with mouth dryness or sores, 4.26 ± 2.90 years in patients with fatigue, and 5.60 ± 2.94 years in patients with a decline in hearing. The mean global qol score was 74.21 (95% ci: 72.22 to 76.20). At a significance level of α = 0.05, the factors influencing qol were age (p = 0.032), education level (p = 0.001), anxiety score (p < 0.001), depression score (p < 0.001), mouth dryness or sores (p < 0.001), fatigue (p = 0.027), and disease stage (p = 0.044). Conclusions: The prevalence rates of mouth dryness or sores, fatigue, decline in hearing, depression, and anxiety were high in npc survivors with a survival time of more than 2 years. These rt-induced symptoms and psychological problems can last for many years after rt. The qol of the npc survivors was good. Factors influencing qol were age, education level, anxiety, depression, mouth dryness or sores, fatigue, and disease stage. Our results suggest that during clinical treatment, doctors should minimize the radiation dose to the ears of patients. In addition, our results emphasize the importance of providing oral and ear nursing and psychological care to npc survivors.

Pretreatment hematologic parameters of the inflammatory response, including lymphocyte, neutrophil, and platelet counts, neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio, and platelet-to-lymphocyte ratio, have emerged as prognostic factors for patients with cancer. This systematic review and meta-analysis aimed to summarize the association between the hematologic markers and prognosis of nasopharyngeal carcinoma (NPC). A systematic search of PubMed, Google Scholar, MEDLINE, EMBASE, Web of Science, and the Cochrane Library was conducted up to April 2016. Hazard ratios (HRs) with 95% confidence intervals (95% CIs) were extracted and synthesized to examine prognostic outcomes including cancer-specific survival (CSS), overall survival (OS), progression-free survival (PFS), distant metastasis-free survival, and local relapse-free survival (LRFS). Fourteen studies comprising 11,651 NPC patients were ultimately included, and all eligible studies were conducted in East Asia. The OS, CSS, PFS, distant metastasis-free survival, and LRFS risks differed among patients according to hematologic marker levels. All of the parameters were associated with prognostic outcomes in patients with NPC. NLR and lymphocyte counts were most commonly reported. A high NLR was significantly associated with poor NPC prognosis (pooled HR 1.42, 95% CI 1.21–1.67 for CSS; pooled HR 1.77, 95% CI 1.41–2.23 for OS; pooled HR 1.67, 95% CI 1.36–2.06 for PFS; pooled HR 1.64, 95% CI 1.15–2.34 for LRFS). High lymphocyte count indicated favorable NPC prognosis (pooled HR 0.72, 95% CI 0.64–0.81 for OS; pooled HR 0.71, 95% CI 0.56–0.91 for PFS). Meta-analysis indicated that NLR and lymphocyte counts could be prognostic predictors in NPC for East Asian population. Patients with a high NLR or low lymphocyte count had poor prognosis. However, due to the limitation of included population, the conclusion was limited to East Asian patients only.

Objective: As a prevalent and infiltrative cancer type of the central nervous system, the prognosis of lower-grade glioma (LGG) in adults is highly heterogeneous. Recent evidence has demonstrated the prognostic value of the mRNA expression-based stemness index (mRNAsi) in LGG. Our aim was to develop a stemness index-based signature (SI-signature) for risk stratification and survival prediction. Methods: Differentially expressed genes (DEGs) between LGG in the Cancer Genome Atlas (TCGA) and normal brain tissue samples from the Genotype-Tissue Expression (GTEx) project were screened out, and the weighted gene correlation network analysis (WGCNA) was employed to identify the mRNAsi-related gene sets. Meanwhile, the Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses were performed for the functional annotation of the key genes. ESTIMATE was used to calculate tumor purity for acquiring the correct mRNAsi. Differences in overall survival (OS) between the high and low mRNAsi (corrected mRNAsi) groups were compared using the Kaplan Meier analysis. By combining the Lasso regression with univariate and multivariate Cox regression, the SI-signature was constructed and validated using the Chinese Glioma Genome Atlas (CGGA). Results: There was a significant difference in OS between the high and low mRNAsi groups, which was also observed in the two corrected mRNAsi groups. Based on threshold limits, 86 DEGs were most significantly associated with mRNAsi via WGCNA. Seven genes (ADAP2, ALOX5AP, APOBEC3C, FCGRT, GNG5, LRRC25, and SP100) were selected to establish a risk signature for primary LGG. The ROC curves showed a fair performance in survival prediction in both the TCGA and the CGGA validation cohorts. Univariate and multivariate Cox regression revealed that the risk group was an independent prognostic factor in primary LGG. The nomogram was developed based on clinical parameters integrated with the risk signature, and its accuracy for predicting 3- and 5-years survival was assessed by the concordance index, the area under the curve of the time-dependent receiver operating characteristics curve, and calibration curves. Conclusion: The SI-signature with seven genes could serve as an independent predictor, and suggests the importance of stemness features in risk stratification and survival prediction in primary LGG.