Background:Hepatocellular carcinoma(HCC)is a prevalent liver malignancy.This study examined the roles of transforming growth factor beta(TGF-β)and cytochrome b5 domain containing 2(CYB5D2)in HCC etiology and their pr...Background:Hepatocellular carcinoma(HCC)is a prevalent liver malignancy.This study examined the roles of transforming growth factor beta(TGF-β)and cytochrome b5 domain containing 2(CYB5D2)in HCC etiology and their prognostic biomarker potential.Methods:Key modules and prognostic genes were identified by analyzing the GSE101685 dataset by weighted gene co-expression network analysis(WGCNA)and Least absolute shrinkage and selection operator(LASSO)Cox regression.The expression levels of CYB5D2 and TGF-βin HCC cell lines were quantified using Quantitative reverse transcription polymerase chain reaction(qRT-PCR)and Western blotting(WB)assays.Effects of CYB5D2 overexpression on cell proliferation,migration,invasion,and epithelial-mesenchymal transition(EMT)marker regulation were assessed in vitro,while in vivo tumorigenicity was evaluated using a xenograft model of HCC in nude mice.Results:In this study,WGCNA identified the turquoise module as significantly associated with HCC,containing 452 DEGs.LASSO Cox regression analysis revealed 9 key prognostic genes,with CYB5D2 being underexpressed in HCC cells and tissues.TGF-βwas negatively correlated with CYB5D2 expression,resulting in poor patient prognosis.Functional assays demonstrated that CYB5D2 overexpression inhibited proliferation,migration,and invasion of HCC cell lines,and altered EMT marker expression.Furthermore,the addition of TGF-βpartially reversed the suppressive effects caused by CYB5D2 overexpression.In vivo,CYB5D2 overexpression significantly reduced tumor growth,indicating its potential as a therapeutic target for HCC.Conclusion:The tumor suppressor function of CYB5D2 in HCC and its interaction with TGF-βoffered fresh information on the molecular pathophysiology of HCC and possible treatment avenues.展开更多
特征线方法(Method of Characteristics,MOC)因其具备强大的几何处理能力,且在计算过程中亦能兼顾计算成本和计算精度,被广泛应用于高保真数值模拟计算中。常见的中子输运计算方法除MOC外,还包括碰撞概率法(Collision Probability metho...特征线方法(Method of Characteristics,MOC)因其具备强大的几何处理能力,且在计算过程中亦能兼顾计算成本和计算精度,被广泛应用于高保真数值模拟计算中。常见的中子输运计算方法除MOC外,还包括碰撞概率法(Collision Probability method,CP)和界面流法(Interface Current method,IC)等。本文从方法理论以及数值计算两方面将MOC、CP和IC进行比较分析,评估其在pin-by-pin计算中的能力。同时在MOC计算中,不同的参数选择会对计算成本和计算精度产生影响,因此有必要进行敏感性分析以寻求最佳参数。本文首先将三种计算方法从原理上进行比较分析,再基于2D C5G7-MOX基准题完成了数值计算及MOC参数敏感性初步分析。计算结果表明:MOC在计算精度、计算效率和内存开销上均优于CP和IC。MOC的计算耗时和内存开销分别为23.9 min和37.5 MB,与参考解的相对误差仅为6.04×10^(-4)。而CP和IC的计算耗时分别为MOC的56.7倍和15.6倍,内存开销分别为MOC的407.7倍和32.8倍。进一步通过参数敏感性分析发现:网格划分对计算内存开销以及计算时间的影响最大,而极角的选择对计算精度的影响最大,并且给出一组综合优化建议参数:网格划分6×6,极角为GAUS且数目为2,方位角个数为30。该组参数的计算耗时为45.4 min,内存开销为264.7 MB,相对误差为5.9×10^(-5),归一化后的栅元均方根误差为0.002 55。展开更多
基金National Natural Science Foundation of China Youth Training Project(2021GZR003)Medical-Engineering Interdisciplinary Research Youth Training Project(2022YGJC001).
文摘Background:Hepatocellular carcinoma(HCC)is a prevalent liver malignancy.This study examined the roles of transforming growth factor beta(TGF-β)and cytochrome b5 domain containing 2(CYB5D2)in HCC etiology and their prognostic biomarker potential.Methods:Key modules and prognostic genes were identified by analyzing the GSE101685 dataset by weighted gene co-expression network analysis(WGCNA)and Least absolute shrinkage and selection operator(LASSO)Cox regression.The expression levels of CYB5D2 and TGF-βin HCC cell lines were quantified using Quantitative reverse transcription polymerase chain reaction(qRT-PCR)and Western blotting(WB)assays.Effects of CYB5D2 overexpression on cell proliferation,migration,invasion,and epithelial-mesenchymal transition(EMT)marker regulation were assessed in vitro,while in vivo tumorigenicity was evaluated using a xenograft model of HCC in nude mice.Results:In this study,WGCNA identified the turquoise module as significantly associated with HCC,containing 452 DEGs.LASSO Cox regression analysis revealed 9 key prognostic genes,with CYB5D2 being underexpressed in HCC cells and tissues.TGF-βwas negatively correlated with CYB5D2 expression,resulting in poor patient prognosis.Functional assays demonstrated that CYB5D2 overexpression inhibited proliferation,migration,and invasion of HCC cell lines,and altered EMT marker expression.Furthermore,the addition of TGF-βpartially reversed the suppressive effects caused by CYB5D2 overexpression.In vivo,CYB5D2 overexpression significantly reduced tumor growth,indicating its potential as a therapeutic target for HCC.Conclusion:The tumor suppressor function of CYB5D2 in HCC and its interaction with TGF-βoffered fresh information on the molecular pathophysiology of HCC and possible treatment avenues.
文摘特征线方法(Method of Characteristics,MOC)因其具备强大的几何处理能力,且在计算过程中亦能兼顾计算成本和计算精度,被广泛应用于高保真数值模拟计算中。常见的中子输运计算方法除MOC外,还包括碰撞概率法(Collision Probability method,CP)和界面流法(Interface Current method,IC)等。本文从方法理论以及数值计算两方面将MOC、CP和IC进行比较分析,评估其在pin-by-pin计算中的能力。同时在MOC计算中,不同的参数选择会对计算成本和计算精度产生影响,因此有必要进行敏感性分析以寻求最佳参数。本文首先将三种计算方法从原理上进行比较分析,再基于2D C5G7-MOX基准题完成了数值计算及MOC参数敏感性初步分析。计算结果表明:MOC在计算精度、计算效率和内存开销上均优于CP和IC。MOC的计算耗时和内存开销分别为23.9 min和37.5 MB,与参考解的相对误差仅为6.04×10^(-4)。而CP和IC的计算耗时分别为MOC的56.7倍和15.6倍,内存开销分别为MOC的407.7倍和32.8倍。进一步通过参数敏感性分析发现:网格划分对计算内存开销以及计算时间的影响最大,而极角的选择对计算精度的影响最大,并且给出一组综合优化建议参数:网格划分6×6,极角为GAUS且数目为2,方位角个数为30。该组参数的计算耗时为45.4 min,内存开销为264.7 MB,相对误差为5.9×10^(-5),归一化后的栅元均方根误差为0.002 55。
