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您的检索式：作者名="JINDONG DAI"
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| 1 | Mutations in epigenetic regulator KMT2C detected by liquid biopsy are associated with worse survival in prostate cancer patients显示文摘Background:KMT2(lysine methyltransferase)family enzymes are epigenetic regulators that activate gene transcription.KMT2C is mainly involved in enhancer-associated H3K4me1,and is also one of the top mutated genes in cancer(6.6%in pan-cancer).Currently,the clinical significance of KMT2C mutations in prostate cancer is understudied.Methods:We included 221 prostate cancer patients diagnosed between 2014 and 2021 in West China Hospital of Sichuan University with cell-free DNA-based liquid biopsy test results in this study.We investigated the association between KMT2C mutations,other mutations,and pathways.Furthermore,we evaluated the prognostic value of KMT2C mutations,measured by overall survival(OS)and castration resistance-free survival(CRFS).Also,we explored the prognostic value of KMT2C mutations in different patient subgroups.Lastly,we investigated the predictive value of KMT2C mutations in individuals receiving conventional combined anti-androgen blockade(CAB)and abiraterone(ABI)as measured by PSA progression-free survival(PSA-PFS).Results:The KMT2C mutation rate in this cohort is 7.24%(16/221).KMT2C-mutated patients showed worse survival than KMT2C-wild type(WT)patients regarding both CRFS and OS(CRFS:mutated:9.9 vs.WT:22.0 months,p=0.015;OS:mutated:71.9 vs.WT 137.4 months,p=0.012).KMT2C mutations were also an independent risk factor in OS[hazard ratio:3.815(1.461,9.96),p=0.006]in multivariate analyses.Additionally,we explored the association of KMT2C mutations with other genes.This showed that KMT2C mutations were associated with Serine/Threonine-Protein Kinase 11(STK11,p=0.004)and Catenin Beta 1(CTNNB1,p=0.008)mutations.In the CAB treatment,KMT2C-mutated patients had a significantly shorter PSA-PFS compared to KMT2C-WT patients.(PSA-PFS:mutated:9.9 vs.WT:17.6 months,p=0.014).Moreover,KMT2C mutations could effectively predict shorter PSA-PFS in 10 out of 23 subgroups and exhibited a strong trend in the remaining subgroups.Conclusions:KMT2C-mutated patients showed worse survival compared to KMT2C-WT patients in terms of both CRFS and OS,and KMT2C mutations were associated with STK11 and CTNNB1 mutations.Furthermore,KMT2C mutations indicated rapid progression during CAB therapy and could serve as a potential biomarker to predict therapeutic response in prostate cancer. | SHA ZHU NANWEI XU JIAYU LIANG FENGNIAN ZHAO ZILIN WANG YUCHAO NI JINDONG DAI JINGE ZHAO XINGMING ZHANG JUNRU CHEN GUANGXI SUN PENGFEI SHEN HAO ZENG | 2023 | Oncology Research2023，31，4： | 0 |
| 2 | A cellular automata framework for porous electrode reconstruction and reaction-diffusion simulation显示文摘Due to the high charge transfer efficiency compared to that of non-porous materials,porous electrodes with larger surface area and thinner solid pore walls have been widely applied in the lithium-ion battery field.Since the capacity and charge-discharge efficiency of batteries are closely related to the microstructure of porous materials,a conceptually simple and computationally efficient cellular automata(CA)framework is proposed to reconstruct the porous electrode structure and simulate the reactiondiffusion process under the irregular solid-liquid boundary in this work.This framework is consisted of an electrode generating model and a reaction-diffusion model.Electrode structures with specific geometric properties,i.e.,porosity,surface area,size distribution,and eccentricity distribution can be constructed by the electrode generating model.The reaction-diffusion model is exemplified by solving the Fick's diffusion problem and simulating the cyclic voltammetry(CV)process.The discharging process in the lithium-ion battery are simulated through combining the above two CA models,and the simulation results are consistent with the well-known pseudo-two-dimensional(P2D)model.In addition,a set of electrodes with different microstructures are constructed and their reaction efficiencies are evaluated.The results indicate that there is an optimum combination of porosity and particle size for discharge efficiency.This framework is a promising one for studying the effect of electrode microstructure on battery performance due to its fully synchronous computation way,easy handled boundary conditions,and free of convergence concerns. | Jindong Dai Chi Zhai Jiali Ai Guangren Yu Haichao Lv Wei Sun Yongzhong Liu | 2023 | Chinese Journal of Chemical Engineering2023，60，8： | 0 |
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