A system review of central nervous system tumors on children in China: epidemiology and clinical characteristics.

BACKGROUND: Central nervous system (CNS) tumors are the most common solid tumors in children and the leading cause of cancer-related death in the latter. Currently, the incidence rate exceeds that of leukemia and ranks first in the incidence of malignant tumors in children. METHODS: The epidemiological data on childhood CNS tumors were collected from the Chinese Cancer Registry Annual Report. The annual percent change (APC) of incidence and mortality-rate changes were estimated via Joinpoint regression. Due to a lack of pertinent data, we performed a system review on the clinical-pathological characteristics in Chinese publications. RESULTS: There was no significant increase in the incidence rate (APC: -0.1, 95% CI: -1.5 to 1.3), but there was a significant increase in the mortality rate (APC: 1.8, 95% CI: 0.3 to 3.4) for childhood CNS tumors. In the subgroup analysis, there were significant increases in both the incidence and mortality rates in rural areas (APC in the incidence: 6.2, 95% CI: 2.4 to 10.2; APC in mortality: 4.4, 95% CI: 0.4 to 8.4). The most common location and type of childhood CNS were, respectively, the cerebral hemisphere (25.5%, 95% CI: 21.7% to 29.4%) and astrocytomas (26.8%, 95% CI: 23.9% to 29.6%). CONCLUSIONS: The epidemiological trends, and the relevant prediction, highlighted the need to pay continual attention to childhood CNS tumors, and the clinicopathology evinced its own distinctive characteristics. Timely detection and effective treatment must be further promoted regarding childhood CNS tumors with a view to decreasing the disease burden, especially in rural areas.

Analysis of Related Risk Factors and Prognostic Factors of Gastric Cancer with Liver Metastasis: A SEER and External Validation Based Study.

Background: Gastric cancer (GC) has a poor prognosis, particularly in patients with liver metastasis (LM). This study aims to identify relevant factors associated with the occurrence of LM in GC patients and factors influencing the prognosis of gastric cancer with liver metastasis (GCLM) patients, in addition to developing diagnostic and prognostic nomograms specifically. Patients and Methods: Overall, 6184 training data were from the Surveillance, Epidemiology, and End Results (SEER) database from 2011 to 2015. 1527 validation data were from our hospital between January 2018 and December 2022. Logistic regression was used to identify the risk factors associated with the occurrence of LM in GC patients, Cox regression was used to confirm the prognostic factors of GCLM patients. Two nomogram models were established to predict the risk and overall survival (OS) of patients with GCLM. The performance of the two models was evaluated using the area under the curve (AUC), concordance index (C-index), and calibration curves. Results: A nomogram included five independent factors from multivariate logistic regression: sex, lymph node removal, chemotherapy, T stage and N stage were constructed to calculate the possibility of LM. Internal and external verifications of AUC were 0.786 and 0.885, respectively. The other nomogram included four independent factors from multivariate Cox regression: surgery at primary site, surgery at other site, chemotherapy, and N stage were constructed to predict OS. C-index for internal and external validations were 0.714 and 0.702, respectively, and the calibration curves demonstrated the robust discriminative ability of the models. Conclusion: Based on the SEER database and validation data, we defined effective nomogram models to predict risk and OS in patients with GCLM. They have important value in clinical decision-making and personalized treatment.

The systematic analysis and 10-year prediction on disease burden of childhood cancer in China.

Background: There is a lack of in-depth analysis regarding the disease burden of childhood cancer in China. Indeed, this is the first time the topic has been addressed in detail. Drawing on population-based data for the past 30 years, this study systematically analyzes the composition and long-term trend of this disease burden in China. Methods: GBD 2019 contained population-based data from 1990 to 2019 and was prepared using Microsoft Excel 2016. We used AAPC and ARIMA models for trend analysis and prediction formulation. Results: In 2019, there were 45,601 new cases, 9,156 cancer deaths, and 782,530 DALYs in China. From 1990 to 2019, leukemia, together with brain and CNS cancer, invariably ranked highest in terms of new cases, cancer deaths, and DALYs. Leukemia accounted for more than 50%, but decreased over time. By contrast, the proportions for brain and CNS cancer increased. There were significant decreases in the overall incidence, mortality, and DALY rates in China, but these were still higher than the corresponding global average levels. Considering all types of childhood cancer, the incidence rate of testicular cancer showed the biggest increase, and the mortality and DALY rates of leukemia showed the largest decrease. In terms of different age groups, the overall incidence rate of childhood cancers increased in 0 to 4 age group, but it decreased in 5 to 14 age groups. The overall mortality and DALY rates of childhood cancers decreased in all four age groups. Over the next 10 years, the overall incidence rate of childhood cancer will increase, but the overall mortality and DALY rates will decrease. The increase in malignant skin melanoma will comprise the largest rise in the incidence, while the decrease for leukemia will be the largest fall in the incidence, cancer deaths, and DALYs. Conclusion: The disease burden of all childhood cancers in China remains highly serious, especially for certain types of cancer and certain age groups. China should focus more emphatically on the incidence of childhood cancer in future, and it must consistently strengthen investment in the relevant research and medical resources to reduce the disease burden in this field.

The association between BRAF (V600E) mutation and pathological features in PTC.

The BRAF (V600E) mutation is a common genetic alteration in papillary thyroid carcinoma (PTC) and is associated with some pathological features. The association has been widely reported, but results were inconclusive. In this study a meta-analysis was done to explore the association between BRAF(V600E) mutation and pathological features in papillary thyroid carcinoma. Medline, PubMed and Web of Science were searched. A total of 69 studies that included 14,170 PTC patients were identified. The outcomes were from 2004 to October 2013. STATA12.0 software package was used to analyze the data. The result was assessed based on pooled odds ratios (ORs) with 95 % confidence intervals (CIs). The results showed that the BRAF (V600E) mutation was associated with extra-thyroidal extension (OR = 2.09, 95 % CI = 1.69-2.58), advanced TNM stage (OR = 1.90, 95 % CI = 1.62-2.22), lymph node metastasis (OR = 1.68, 95 % CI = 1.41-2.01), multifocality (OR = 1.22, 95 % CI = 1.06-1.40), and recurrence (OR = 2.50, 95 % CI = 1.73-3.59). The meta-analysis suggested the potential roles of BRAF (V600E) mutation in pathological features. BRAF (V600E) might provide prognostic and diagnostic information for papillary thyroid carcinoma.