Global burdens of nasopharyngeal carcinoma in children and young adults and predictions to 2040.

OBJECTIVES: To investigate the epidemiological trend for nasopharyngeal carcinoma among children and young adults and the disease burden they caused. MATERIALS AND METHODS: Data were collected from the Global Burden of Disease (GBD) study 2019. A comprehensive analysis was performed, with age-standardized incidence rate (ASIR), age-standardized mortality rate (ASMR), disability-adjusted life-years (DALYs) and estimated annual percentage changes (EAPC). And decomposition and frontier analyses were done. Future trends were predicted using Bayesian age-period-cohort model. RESULTS: Globally, there were decreases in the ASIR (EAPC -0.175, 95 % confidence interval [CI]: -0.352 to 0.002), ASMR (EAPC -2.681, 95 % CI: -2.937 to -2.424), and age-standardized DALYs rates (EAPC -2.643, 95 % CI: -2.895 to -2.391). However, the ASIR for males in global (EAPC 0.454, 95 % CI: 0.302 to 0.606), Asia (EAPC 0.782, 95 % CI: 0.610 to 0.954) and America (EAPC 0.448, 95 % CI: 0.379 to 0.517), as well as females in European (EAPC 0.595, 95 % CI: 0.479 to 0.712) and American (EAPC 0.369, 95 % CI: 0.324 to 0.415), showed an increasing trend. The future ASIR per 100,000 will likely show a slight upward trend in 2020 to 2040 (increased from 0.254 to 0.284), particularly among females (increased from 0.177 to 0.206), and a continued decline in ASMR for both sexes (decreased from 0.070 to 0.061). CONCLUSIONS: Globally, NPC in children and young adults remains a major public health issue, with the global distribution and magnitude of the burden varies markedly, highlighting the need to formulate regional and population-based policies for primary prevention.

Individualized Concurrent Chemotherapy for Patients with Stage III-IVa Nasopharyngeal Carcinoma Receiving Neoadjuvant Chemotherapy Combined with Definitive Intensity-Modulated Radiotherapy.

PURPOSE: This retrospective study aimed to re-evaluate the effect of concurrent chemotherapy in patients with locally advanced nasopharyngeal carcinoma (NPC) in the era of intensity-modulated radiotherapy (IMRT). MATERIALS AND METHODS: A total of 498 patients who received neoadjuvant chemotherapy (NCT) combined with concurrent chemoradiotherapy (CCRT) or IMRT were retrospectively reviewed. The distribution of baseline characteristics was balanced using propensity score matching. Additionally, the results of NCT+IMRT and NCT+CCRT were compared using Kaplan-Meier survival analysis, and differences in survival rates were analyzed using the log rank test. RESULTS: There were no significant differences in overall survival (OS), progression-free survival (PFS), distant metastasis-free survival (DMFS), and local progression-free survival (LRFS) between the two groups. Patients were further categorized into risk subgroups based on pretreatment Epstein-Barr virus (EBV) DNA cutoff values using receiver operating characteristic curve analysis. There were no statistically significant differences in OS, PFS, DMFS, and LRFS between patients who received NCT+CCRT and NCT+IMRT in the high-risk group. In the low-risk group, although there were no differences between NCT+CCRT and NCT+IMRT in OS, PFS, and LRFS, patients who received NCT+CCRT had better DMFS than those who received NCT+IMRT. CONCLUSION: Pretreatment EBV DNA level can be used to individualize concurrent chemotherapy for patients with locally advanced NPC. Patients with low pretreatment EBV DNA levels may benefit from concurrent chemotherapy, whereas those with high levels may not. Other treatment modalities need to be explored for high-risk patients to improve their prognosis.

Identification of an individualized therapy prognostic signature for head and neck squamous cell carcinoma.

BACKGROUND: Head and neck squamous cell carcinoma (HNSCC) are the most common cancers in the head and neck. Therapeutic response-related genes (TRRGs) are closely associated with carcinogenesis and prognosis in HNSCC. However, the clinical value and prognostic significance of TRRGs are still unclear. We aimed to construct a prognostic risk model to predict therapy response and prognosis in TRRGs-defined subgroups of HNSCC. METHODS: The multiomics data and clinical information of HNSCC patients were downloaded from The Cancer Genome Atlas (TCGA). The profile data GSE65858 and GSE67614 chip was downloaded from public functional genomics data Gene Expression Omnibus (GEO). Based on TCGA-HNSC database, patients were divided into a remission group and a non-remission group according to therapy response, and differentially expressed TRRGs between those two groups were screened. Using Cox regression analysis and Least absolute shrinkage and selection operator (LASSO) analysis, candidate TRRGs that can predict the prognosis of HNSCC were identified and used to construct a TRRGs-based signature and a prognostic nomogram. RESULT: A total of 1896 differentially expressed TRRGs were screened, including 1530 upregulated genes and 366 downregulated genes. Then, 206 differently expressed TRRGs that was significantly associated with the survival were chosen using univariate Cox regression analysis. Finally, a total of 20 candidate TRRGs genes were identified by LASSO analysis to establish a signature for risk prediction, and the risk score of each patient was calculated. Patients were divided into a high-risk group (Risk-H) and a low-risk group (Risk-L) based on the risk score. Results showed that the Risk-L patients had better overall survival (OS) than Risk-H patients. Receiver operating characteristic (ROC) curve analysis revealed great predictive performance for 1-, 3-, and 5-year OS in TCGA-HNSC and GEO databases. Moreover, for patients treated with post-operative radiotherapy, Risk-L patients had longer OS and lower recurrence than Risk-H patients. The nomogram involves risk score and other clinical factors had good performance in predicting survival probability. CONCLUSIONS: The proposed risk prognostic signature and Nomogram based on TRRGs are novel promising tools for predicting therapy response and overall survival in HNSCC patients.

Plasma Epstein-Barr viral DNA load after completion of two cycles of induction chemotherapy predicts outcomes for patients with advanced-stage nasopharyngeal carcinoma.

OBJECTIVES: To evaluate the prognostic value of plasma Epstein-Barr virus DNA level following the completion of two induction chemotherapy cycles (ICT; post2CICT-DNA) in locoregionally advanced nasopharyngeal carcinoma (LA-NPC). MATERIALS AND METHODS: This retrospective study included 534 patients with LA-NPC. Recursive partitioning analysis (RPA) was applied to derive a prognostic model for risk stratification. Kaplan-Meier survival analysis was used to determine the survival results, and survival rates were compared using the log-rank test. The Cox proportional hazard model was used for univariate and multivariate analyses. RESULTS: Multivariate analyses revealed that post2CICT-DNA and N stage were independent predictors of overall survival (OS; P = 0.001 and P = 0.001, respectively), and post2CICT-DNA, pre-treatment DNA, and N stage were independent predictors of progression-free survival (PFS; P = 0.002, P = 0.001, and P = 0.021, respectively).Based on prognostic factors (pre-treatment DNA, post2CICT-DNA, and N stage), patients were stratified into three risk subgroups, with 288 patients in the low-, 213 in the intermediate-, and 33 in the high-risk group. The three-year OS rate of the low-, intermediate- and high-risk groups were 99.3% (95% CI 98.3%-100.0%), 90.0% (95% CI 85.5%-94.5%) and 67.0% (95% CI 49.9%-84.1%, P < 0.001 for each of the two groups), respectively. CONCLUSION: Plasma EBV-DNA level after two ICT cycles is a powerful predictor of prognosis in patients with LA-NPC. RPA analysis revealed that stage N3 patients with detectable post2CICT-DNA are at the highest risk of treatment failure, and future clinical trials should focus on early-treatment modification strategies for these patients.