RESUMEN

AIM: To construct an immune-related prognostic signature (IPS) that can distinguish and predict prognosis in uveal melanoma (UM). METHODS: The transcriptomic data and clinicopathological information of 80 UM patients were extracted from the TCGA database. These patients were randomly assigned to a training and a testing set. RESULTS: Lasso Cox analysis was performed for the prognostic immune-related genes to develop an IPS for UM in the training set. The signature was validated in both the testing set and entire cohort. We confirmed the prognostic value of our IPS in distinct subgroups and found its association with the T stage and basal diameter of the tumor. Tumor Immune Estimation Resource database analysis revealed that the IPS was negatively correlated with the infiltration of neutrophils and dendritic cells, but positively correlated with the infiltration level of CD8+ T cells. In addition, we demonstrated that immune checkpoints containing PD-1, CTLA-4, IDO, and TIGIT were moderately associated with the IPS. CONCLUSION: This is the first study to develop and validate an immune-related signature with the ability of predicting prognosis for UM patients. Further studies are needed to validate its prediction accuracy.

RESUMEN

BACKGROUND: Meningioma incidence was reported to have risen substantially in the United States during the first decade of the 21st century. There are few reports about subsequent incidence trends. This study provides updated data to investigate trends in meningioma incidence by demographic and tumor characteristics at diagnosis in the United states from 2004 to 2015. METHODS: Trends in meningioma incidence were analyzed using data from the Surveillance, Epidemiology, and End Results-18 (SEER-18) registry database of the National Cancer Institute. The joinpoint program was used to calculate annual percent change (APC) in incidence rates. RESULTS: The overall incidence of meningioma increased by 4.6% (95% CI, 3.4-5.9) annually in 2004-2009, but remained stable from 2009 to 2015 (APC, 0; 95% CI, -0.8 to 0.8). Females (10.66 per 100 000 person-years) and blacks (9.52 per 100 000 person-years) had significant predominance in meningioma incidence. Incidence in many subgroups increased significantly up to 2009 and then remained stable until 2015. However, meningioma incidence in young and middle-aged people increased significantly throughout the entire time period from 2004 to 2015 (APC: 3.6% for <20-year-olds; 2.5% for 20-39-year-olds; 1.8% for 40-59-year-olds). The incidence of WHO II meningioma increased during 2011-2015 (APC = 5.4%), while the incidence of WHO III meningioma decreased during 2004-2015 (APC = -5.6%). CONCLUSION: In this study, the incidence of meningioma was found to be stable in recent years. Possible reasons for this finding include changes in population characteristics, the widespread use of diagnostic techniques, and changes in tumor classification and risk factors in the US population.

Asunto(s)

RESUMEN

BACKGROUND: Population-based studies on grade III gliomas are still lacking. The purpose of our study was to investigate epidemiological characteristics, survival, and risk factors of these tumors. PATIENTS AND METHODS: All data of patients with grade III gliomas were extracted from the Surveillance, Epidemiology, and End Results database. This database provides analysis to evaluate age-adjusted incidence, incidence-based mortality, and limited-duration prevalence. The trends of incidence and mortality were modeled using Joinpoint program. Relative survival was also available in this database. Univariate and multivariate analyses were used to access the prognostic significance of risk factors on cancer-specific survival. Nomogram was constructed to predict 3-, 5-, and 10-year survival. RESULTS: Our study showed that during 2000-2013, the incidence was stable and the mortality rate dropped significantly with APC as -1.95% (95% CI: -3.35% to -0.54%). Patients aged 40-59 had the highest prevalent cases. The 1-, 3-, 5-, and 10-year relative survival rates for all patients were 74.7%, 52.8%, 44.4%, and 32.4%. And it varied by risk factors. Cox regression analysis showed older age, male, black race, divorced status, histology of AA, tumor size <3.5 cm and no surgery were associated with worse survival. CONCLUSION: Our study provides reasonable estimates of the incidence, mortality, and prevalence for patients with grade III gliomas during 2000-2013. The results of relative survival and Cox regression analysis revealed that age, race, sex, year of diagnosis, tumor site, histologic type, tumor size, and surgery were the identifiable prognostic indicators. The effects of radiotherapy still need further study. We integrated these risk factors to construct an effective clinical prediction model.

Asunto(s)

RESUMEN

BACKGROUND: The update of 2018 NCCN guidelines (central nervous system cancers) recommended the risk classification of postoperative patients diagnosed as adult low-grade (WHO grade II) infiltrative supratentorial astrocytoma/oligodendroglioma (ALISA/O) should take tumor size into consideration. Moreover, the guidelines removed postoperative radiotherapy (PORT) for low risk patients. Our study aimed to explore the specific tumor size to divide postoperative patients into relatively low- or high risk subgroups and the effect of PORT for ALISA/O patients. METHODS: We conducted a retrospective study choosing 1277 postoperative ALISA/O patients from the Surveillance, Epidemiology, and End Results database. The X-tile analysis provided the optimal cutoff point based on tumor size. The differences between surgery alone and surgery +RT groups were balanced by propensity score-matched analysis. The multivariable analysis and the nomogram evaluated multiple prognostic factors based on cancer-specific survival (CSS) and overall survival (OS). RESULTS: X-tile plots defined 59 mm (P < 0.001) as the optimal cutoff tumor size value in terms of CSS, which was verified in multivariate analysis (P < 0.001). The Kaplan-Meier analysis showed that the surgery alone had higher CSS and OS than surgery +RT, while the low risk group had no statistical significance after propensity score match. Multivariable analysis showed that surgery +RT was independently associated with diminished OS and CSS for high risk group, which had no statistical significance for low-risk group. CONCLUSIONS: Our study suggested that tumor size of 59 mm was an optimal cutoff point to divide postoperative patients into relatively low- or high risk subgroups. PORT may not benefit patients, while the effects of PORT for low risk patients need further research.

Asunto(s)