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Prognostic significance of grade of malignancy based on histopathological differentiation and Ki-67 in pancreatic ductal adenocarcinoma 被引量:1
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作者 Yuexiang Liang Guannan Sheng +7 位作者 Yu Guo yiping zou Hanhan Guo Zhifei Li Shaofei Chang Quan Man Song Gao Jihui Hao 《Cancer Biology & Medicine》 SCIE CAS CSCD 2024年第5期416-432,共17页
Objective:Tumor cell malignancy is indicated by histopathological differentiation and cell proliferation.Ki-67,an indicator of cellular proliferation,has been used for tumor grading and classification in breast cancer... Objective:Tumor cell malignancy is indicated by histopathological differentiation and cell proliferation.Ki-67,an indicator of cellular proliferation,has been used for tumor grading and classification in breast cancer and neuroendocrine tumors.However,its prognostic significance in pancreatic ductal adenocarcinoma(PDAC)remains uncertain.Methods:Patients who underwent radical pancreatectomy for PDAC were retrospectively enrolled,and relevant prognostic factors were examined.Grade of malignancy(GOM),a novel index based on histopathological differentiation and Ki-67,is proposed,and its clinical significance was evaluated.Results:The optimal threshold for Ki-67 was determined to be 30%.Patients with a Ki-67 expression level>30%rather than≤30%had significantly shorter 5-year overall survival(OS)and recurrence-free survival(RFS).In multivariate analysis,both histopathological differentiation and Ki-67 were identified as independent prognostic factors for OS and RFS.The GOM was used to independently stratify OS and RFS into 3 tiers,regardless of TNM stage and other established prognostic factors.The tumor-nodemetastasis-GOM stage was used to stratify survival into 5 distinct tiers,and surpassed the predictive performance of TNM stage for OS and RFS.Conclusions:Ki-67 is a valuable prognostic indicator for PDAC.Inclusion of the GOM in the TNM staging system may potentially enhance prognostic accuracy for PDAC. 展开更多
关键词 Pancreatic ductal adenocarcinoma PROGNOSIS KI-67 DIFFERENTIATION TNM stage
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Insights into the Structure Stability of Prussian Blue for Aqueous Zinc Ion Batteries 被引量:2
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作者 Zhuxin Li Tingting Liu +5 位作者 Ruijin Meng Lujie Gao yiping zou Peng Peng Yuying Shao Xiao Liang 《Energy & Environmental Materials》 SCIE CSCD 2021年第1期111-116,共6页
The reversible storage of Zn^(2+)ions in Prussian blue analogues with typical aqueous solution was challenged by fast degradation and poor coulombic efficiency,while the mechanism is yet to be uncovered.This study cor... The reversible storage of Zn^(2+)ions in Prussian blue analogues with typical aqueous solution was challenged by fast degradation and poor coulombic efficiency,while the mechanism is yet to be uncovered.This study correlates the performance of the nickel hexacyanoferrate to the dynamics of H_(2)O in the electrolyte and the associated phase stability of the electrode.It demonstrates severe Ni dissolution in conventional diluted aqueous electrolyte(1 M ZnSO^(4)or 1 M Zn(TFSI)^(2)),leading to structure collapse with the formation of an electrochemical inert phase.This is regarded as the descriptor for the fast decay of nickel hexacyanoferrate in diluted aqueous electrolyte.However,a well-preserved open framework for zinc storage was obtained in concentrated aqueous electrolyte(1 M Zn(TFSI)_(2)+21 M LiTFSI)—the H_(2)O activity is highly suppressed by extensive coordination—thus,reversible capacity of 60.2 m Ah g^(-1)over 1600 cycles could be delivered. 展开更多
关键词 aqueous battery long lifespan phase stability Prussian blue zinc ion battery
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A novel clinical model for risk prediction and stratification of new-onset diabetes mellitus after distal pancreatectomy
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作者 Zhihong Chen Ning Shi +7 位作者 Cheng Xing yiping zou Yuanpeng Zhang Zhenrong Chen Fan Wu Haosheng Jin Rufu Chen Menghua Dai 《Hepatobiliary Surgery and Nutrition》 SCIE 2023年第6期868-881,共14页
Background:The incidence of new-onset diabetes mellitus(NODM)after distal pancreatectomy(DP)remains high.Few studies have focused on NODM in patients with pancreatic benign or low-grade malignant lesions(PBLML).This s... Background:The incidence of new-onset diabetes mellitus(NODM)after distal pancreatectomy(DP)remains high.Few studies have focused on NODM in patients with pancreatic benign or low-grade malignant lesions(PBLML).This study aimed to develop and validate an effective clinical model for risk prediction and stratification of NODM after DP in patients with PBLML.Methods:A follow-up survey was conducted to investigate NODM in patients without preoperative DM who underwent DP.Four hundred and forty-eight patients from Peking Union Medical College Hospital(PUMCH)and 178 from Guangdong Provincial People’s Hospital(GDPH)met the inclusion criteria.They constituted the training cohort and the validation cohort,respectively.Univariate and multivariate Cox regression,as well as least absolute shrinkage and selection operator(LASSO)analyses,were used to identify the independent risk factors.The nomogram was constructed and verified.Concordance index(C-index),receiver operating characteristic(ROC)curve,calibration curves,and decision curve analysis(DCA)were applied to assess its predictive performance and clinical utility.Accordingly,the optimal cut-off point was determined by maximally selected rank statistics method,and the cumulative risk curves for the high-and low-risk populations were plotted to evaluate the discrimination ability of the nomogram.Results:The median follow-up duration was 42.8 months in the PUMCH cohort and 42.9 months in the GDPH cohort.The postoperative cumulative 5-year incidences of DM were 29.1%and 22.1%,respectively.Age,body mass index(BMI),length of pancreatic resection,intraoperative blood loss,and concomitant splenectomy were significant risk factors.The nomogram demonstrated significant predictive utility for post-pancreatectomy DM.The C-indexes of the nomogram were 0.739 and 0.719 in the training and validation cohorts,respectively.ROC curves demonstrated the predictive accuracy of the nomogram,and the calibration curves revealed that prediction results were in general agreement with the actual results.The considerable clinical applicability of the nomogram was certified by DCA.The optimal cut-off point for Background:The incidence of new-onset diabetes mellitus(NODM)after distal pancreatectomy(DP)remains high.Few studies have focused on NODM in patients with pancreatic benign or low-grade malignant lesions(PBLML).This study aimed to develop and validate an effective clinical model for risk prediction and stratification of NODM after DP in patients with PBLML.Methods:A follow-up survey was conducted to investigate NODM in patients without preoperative DM who underwent DP.Four hundred and forty-eight patients from Peking Union Medical College Hospital(PUMCH)and 178 from Guangdong Provincial People’s Hospital(GDPH)met the inclusion criteria.They constituted the training cohort and the validation cohort,respectively.Univariate and multivariate Cox regression,as well as least absolute shrinkage and selection operator(LASSO)analyses,were used to identify the independent risk factors.The nomogram was constructed and verified.Concordance index(C-index),receiver operating characteristic(ROC)curve,calibration curves,and decision curve analysis(DCA)were applied to assess its predictive performance and clinical utility.Accordingly,the optimal cut-off point was determined by maximally selected rank statistics method,and the cumulative risk curves for the high-and low-risk populations were plotted to evaluate the discrimination ability of the nomogram.Results:The median follow-up duration was 42.8 months in the PUMCH cohort and 42.9 months in the GDPH cohort.The postoperative cumulative 5-year incidences of DM were 29.1%and 22.1%,respectively.Age,body mass index(BMI),length of pancreatic resection,intraoperative blood loss,and concomitant splenectomy were significant risk factors.The nomogram demonstrated significant predictive utility for post-pancreatectomy DM.The C-indexes of the nomogram were 0.739 and 0.719 in the training and validation cohorts,respectively.ROC curves demonstrated the predictive accuracy of the nomogram,and the calibration curves revealed that prediction results were in general agreement with the actual results.The considerable clinical applicability of the nomogram was certified by DCA.The optimal cut-off point for risk prediction value was 2.88, and the cumulative risk curves of each cohort showed significant differences between the high- and low-risk groups. Conclusions: The nomogram could predict and identify the NODM risk population, and provide guidance to physicians in monitoring and controlling blood glucose levels in PBLML patients after DP. 展开更多
关键词 New-onset diabetes mellitus(NODM) pancreatic benign or low-grade malignant lesions(PBLML) distal pancreatectomy(DP) NOMOGRAM
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