Background: Liver transplantation (LT) is one of the most important treatments for children with liver cancer (CLCa) and has been increasingly used. However, there is a lack of large-scale and multicenter studies on the trend in the application and value of LT for the treatment of CLCa.
Methods: We analyzed the clinicopathological data of CLCa from 2000 to 2018 from the Surveillance, Epidemiology, and End Results (SEER) database. We explored the trend in the application of LT for the treatment of CLCa. regression and the test were used to explore prognostic factors, and we built a nomogram using the screened factors. Propensity score matching was used to balance the baseline data of patients undergoing LT and other surgeries, and then the test was used to evaluate the therapeutic value of LT for CLCa.
Results: The 1-year, 3-year, 5-year, and 10-year overall survival (OS) rates of CLCa were 88.7%, 80.6%, 76.8%, and 73.0%, respectively. Then, we established a nomogram using many variables including age of diagnosis, regional lymph node metastasis, summary stage, and therapy. Internally validated and externally verified, our nomogram had good predictive power and clinical applicability. LT was increasingly being used to treat CLCa. There was no statistically significant difference in the OS of CLCa between the LT and other surgeries groups. After LT, the hepatoblastoma group had a better prognosis than the hepatocellular carcinoma group.
Conclusion: We built a well-performing nomogram to predict the OS of CLCa. LT could improve the prognosis of CLCa as other surgeries and could be considered an effective treatment choice for CLCa.
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http://dx.doi.org/10.3389/fsurg.2022.938254 | DOI Listing |
Plant J
December 2024
National Key Lab for Germplasm Innovation and Utilization of Horticultural Crops, Hubei Hongshan Laboratory, College of Horticulture and Forestry Sciences, Huazhong Agricultural University, Wuhan, Hubei, 430070, China.
Tea (Camellia sinensis) is a globally renowned economic crop, with organs such as leaves and buds utilized for consumption. As a perennial foliage crop, tea plants have high-nitrogen consumption and demand but exhibit relatively low nitrogen use efficiency. Exploring the genetic factors involved in nitrogen assimilation in tea plants could lead to improvements in both tea yield and quality.
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November 2024
Key Laboratory of Jiangxi Province for Functional Biology and Pollution Control in Red Soil Regions, School of Life Sciences, Jinggangshan University, Ji'an 343009, China.
The search for efficient, environmentally friendly adsorbents is critical for purifying dye wastewater. In this study, we produced a first-of-its-kind effective biomimetic amorphous calcium carbonate (BACC) using bacterial processes and evaluated its capacity to adsorb a hazardous organic cationic dye-methylene blue (MB). BACC can adsorb a maximum of 494.
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December 2024
State Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, 130102, China. Electronic address:
The decline in groundwater quality in intensive agricultural areas in recent years, driven by environmental change and intensified human activity, poses a significant threat to agricultural production and public health, requiring attention and effective management. However, distinguishing the specific impacts of various factors on groundwater quality remains challenging, which hinders the effective management and prevention of groundwater pollution. This research integrates a hydrochemical analysis with the Entropy-weighted Water Quality Index, Self-Organizing Map (SOM) approach, and Boruta algorithm to investigate groundwater chemical variations and their influencing factors in the Sanjiang Plain, an important grain-producing region in China.
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September 2024
School of Water Resources and Environment, Hebei GEO University, Shijiazhuang, China.
Environ Geochem Health
August 2024
Institute of Resources and Environment, Henan Polytechnic University, Jiaozuo, 454000, China.
The emergence of large-scale time-series data and advancements in computational power have opened new avenues for analyzing the spatiotemporal evolution of groundwater chemistry, water quality, and human health risks. This paper utilizes hydrogeochemical methods to elucidate the controlling factors of water chemical components based on the test results of 124 groundwater samples collected from 31 monitoring wells in Fuxin City, Liaoning Province, China, from 2018 to 2021. By integrating the Random Forest and Enhanced Water Quality Index methods for water quality assessment and employing the Human Health Risk Assessment (HHRA) model to analyze human health risks, our findings indicate that the groundwater is mildly alkaline, with SO·Cl-Ca·Mg and HCO-Ca·Mg as the dominant hydrochemical types, primarily derived from the dissolution of carbonate and silicate minerals such as dolomite, limestone, and andesite, and cation exchange reactions.
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