OBJECTIVE To explain the high inter-individual variability and the frequency of exceeding the therapeutic reference range and the laboratory alert level of amisulpride,a popula⁃tion pharmacokinetic model in Chinese pa...OBJECTIVE To explain the high inter-individual variability and the frequency of exceeding the therapeutic reference range and the laboratory alert level of amisulpride,a popula⁃tion pharmacokinetic model in Chinese patients with schizophrenia was built based on therapeu⁃tic drug monitoring data to guide individualized therapy.METHODS Plasma concentration data(330 measurements from 121 patients)were ana⁃lyzed using a nonlinear mixed-effects model⁃ing approach with first-order conditional estima⁃tion with interaction(FOCE I).The concentra⁃tions of amisulpride were detected by HPLC-MS/MS.Age,weight,sex,combination medication history and renal function status were evaluated as main covariates.The model was internally val⁃idated using goodness-of-fit,bootstrap and nor⁃malized prediction distribution error.Recom⁃mended dosage regimens for patients with key covariates were estimated on the basis of Monte Carlo simulations and the established model.RESULTS A one-compartment model with first-order absorption and elimination was found to adequately characterize amisulpride concentra⁃tion in Chinese patients with schizophrenia.The population estimates of the apparent volume of distribution(V/F)and apparent clearance(CL/F)were 12.7 L and 1.12 L·h-1,respectively.Age sig⁃nificantly affected the clearance of amisulpride and the final model was as follow:CL/F=1.04×(AGE/32)-0.624(L·h-1).To avoid exceeding the lab⁃oratory alert level(640μg·L-1),the model-based simulation results showed that the recommended dose of amisulpride was no more than 600 mg per day for patients aged 60 years,800 mg per day for those aged 40 years and 1200 mg per day for those aged 20 years,respectively.CON⁃CLUSION Dosage optimization of amisulpride can be carried out according to age to reduce the risk of adverse reactions.The model can be used as a suitable tool for designing individual⁃ized therapy for Chinese patients with schizo⁃phrenia.展开更多
Single-cell RNA sequencing(scRNA-seq)is a novel technology that allows transcriptomic analyses of individual cells.During the past decade,scRNA-seq sensitivity,accuracy,and efficiency have improved due to innovations ...Single-cell RNA sequencing(scRNA-seq)is a novel technology that allows transcriptomic analyses of individual cells.During the past decade,scRNA-seq sensitivity,accuracy,and efficiency have improved due to innovations including more sensitive,automated,and cost-effective single-cell isolation methods with higher throughput as well as ongoing technological development of scRNA-seq protocols.Among the variety of current approaches with distinct features,researchers can choose the most suitable method to carry out their research.By profiling single cells in a complex population mix,scRNA-seq presents great advantages over traditional sequencing methods in dissecting heterogeneity in cell populations hidden in bulk analysis and exploring rare cell types associated with tumorigenesis and metastasis.scRNA-seq studies in recent years in the field of breast cancer research have clustered breast cancer cell populations with different molecular subtypes to identify distinct populations that may correlate with poor prognosis and drug resistance.The technology has also been used to explain tumor microenvironment heterogeneity by identifying distinct immune cell subsets that may be associated with immunosurveillance and are potential immunotherapy targets.Moreover,scRNA-seq has diverse applications in breast cancer research besides exploring heterogeneity,including the analysis of cell-cell communications,regulatory single-cell states,immune cell distributions,and more.scRNA-seq is also a promising tool that can facilitate individualized therapy due to its ability to define cell subsets with potential treatment targets.Although scRNA-seq studies of therapeutic selection in breast cancer are currently limited,the application of this technology in this field is prospective.Joint efforts and original ideas are needed to better implement scRNA-seq technologies in breast cancer research to pave the way for individualized treatment management.This review provides a brief introduction on the currently available scRNA-seq approaches along with their corresponding strengths and weaknesses and may act as a reference for the selection of suitable methods for research.We also discuss the current applications of scRNA-seq in breast cancer research for tumor heterogeneity analysis,individualized therapy,and the other research directions mentioned above by reviewing corresponding published studies.Finally,we discuss the limitations of current scRNA-seq technologies and technical problems that remain to be overcome.展开更多
Metastatic Renal Cell Carcinoma(mRCC)is a highly heterogeneous disease that is notoriously difficult to treat successfully.However,the discovery of novel,targeted therapies over the last decade has revolutionized its ...Metastatic Renal Cell Carcinoma(mRCC)is a highly heterogeneous disease that is notoriously difficult to treat successfully.However,the discovery of novel,targeted therapies over the last decade has revolutionized its management.As the therapeutic options continue to evolve,developing a more individualized treatment strategy is of paramount importance.The International mRCC Database Consortium(IMDC)is a prognostic model that is commonly used in trials and clinical settings to risk stratify patients.This allows for optimal therapy selection on a more individual basis.However,the distinct lack of validated predictive biomarkers in mRCC renders it difficult to assess therapy response.An improved understanding of tumor biology and genetics has prompted a shift from cytokine therapy to the use of vascular endothelial growth factor(VEGF)inhibitors,tyrosine kinase Inhibitors,immune checkpoint inhibitors or combination strategies.Studies have identified some putative markers and genetic mutations as potential predictors of therapy response.Early results are promising,and there are many ongoing trials further assessing their suitability for clinical use.This review will evaluate the current treatment landscape and molecular biology of mRCC,with a specific focus on the prognostic and predictive markers available to guide treatment options and further improve patient outcomes.展开更多
Objective To explore the feasibility of mediating recipient lymphocyte reaction with donor dendritic cells ( Dcs) in renal allograft recipients to guide individualized immunosuppressive therapy. Methods From Jan. 2008...Objective To explore the feasibility of mediating recipient lymphocyte reaction with donor dendritic cells ( Dcs) in renal allograft recipients to guide individualized immunosuppressive therapy. Methods From Jan. 2008 to Jan. 2010,30 recipients received living related kidney transplantation were successively and divided into展开更多
Purpose:The present study summarized cases of children(n=32)with medulloblastoma(MB)who were treated using stratified therapy based on risk grading and also discussed the factors affecting prognosis.Methods:According ...Purpose:The present study summarized cases of children(n=32)with medulloblastoma(MB)who were treated using stratified therapy based on risk grading and also discussed the factors affecting prognosis.Methods:According to the risk stratification criteria,the cases were divided into the following four risk groups:low,standard,high,and very high.The 5-year overall survival(OS)and progression-free survival(PFS)rates were summarized.Further,the effects on the prognosis of tumor size,tumor stage,degree of resection,treatment mode,metastatic recurrence,molecular typing,and risk stratification were analyzed.Results:In the present study,following surgery,3 cases abandoned radiotherapy(RT)and chemotherapy(CHT),7 cases(<3 years of age)received only CHT,and 22 cases received combined RT and CHT.Total and near-total tumor resections were performed in 29 cases(90.6%).Subtotal resections were performed in 3 cases,and there were no surgery-related deaths.The average follow-up duration was 47 months.The average 5-year PFS and OS rates were 57.3%±7.2%and 68.7%±8.6%,respectively.The OS and PFS rates were significantly correlated with tumor-risk stratification,molecular staging,tumor stage,treatment mode,and recurrence after surgery(p<0.01).The degree of tumor resection,pathological type,and the presence of preoperative implantation were secondary factors affecting the prognosis(p<0.05).Age was correlated with the PFS rate.There was no correlation between age/tumor location/tumor size and prognosis(p>0.05).Favorable prognostic factors in the low-and standard-risk groups were stage M0,wingless-type MB,postoperative RT combined with CHT,no postoperative recurrence,age≥3 years,and total tumor resection.Conclusions:Personalized treatment strategies based on the risk stratification of MB and postoperative stratified comprehensive treatment could help improve the prognosis for MB.展开更多
Pancreatic cancer(PC)is a prevalent digestive malignancy worldwide and ranks as the fourth leading cause of cancer-related deaths globally.The incidence and mortality rates have been increasing annually,and due to its...Pancreatic cancer(PC)is a prevalent digestive malignancy worldwide and ranks as the fourth leading cause of cancer-related deaths globally.The incidence and mortality rates have been increasing annually,and due to its insidious onset and high malignancy,most patients are diagnosed at an advanced stage,with a 5-year survival rate of less than 8%(1).PC can be classified into endocrine and exocrine tumors,with over 95% of pancreatic malignant tumors originating from the exocrine portion of the pancreas.展开更多
文摘OBJECTIVE To explain the high inter-individual variability and the frequency of exceeding the therapeutic reference range and the laboratory alert level of amisulpride,a popula⁃tion pharmacokinetic model in Chinese patients with schizophrenia was built based on therapeu⁃tic drug monitoring data to guide individualized therapy.METHODS Plasma concentration data(330 measurements from 121 patients)were ana⁃lyzed using a nonlinear mixed-effects model⁃ing approach with first-order conditional estima⁃tion with interaction(FOCE I).The concentra⁃tions of amisulpride were detected by HPLC-MS/MS.Age,weight,sex,combination medication history and renal function status were evaluated as main covariates.The model was internally val⁃idated using goodness-of-fit,bootstrap and nor⁃malized prediction distribution error.Recom⁃mended dosage regimens for patients with key covariates were estimated on the basis of Monte Carlo simulations and the established model.RESULTS A one-compartment model with first-order absorption and elimination was found to adequately characterize amisulpride concentra⁃tion in Chinese patients with schizophrenia.The population estimates of the apparent volume of distribution(V/F)and apparent clearance(CL/F)were 12.7 L and 1.12 L·h-1,respectively.Age sig⁃nificantly affected the clearance of amisulpride and the final model was as follow:CL/F=1.04×(AGE/32)-0.624(L·h-1).To avoid exceeding the lab⁃oratory alert level(640μg·L-1),the model-based simulation results showed that the recommended dose of amisulpride was no more than 600 mg per day for patients aged 60 years,800 mg per day for those aged 40 years and 1200 mg per day for those aged 20 years,respectively.CON⁃CLUSION Dosage optimization of amisulpride can be carried out according to age to reduce the risk of adverse reactions.The model can be used as a suitable tool for designing individual⁃ized therapy for Chinese patients with schizo⁃phrenia.
基金The authors received financial support from the National Natural Science Foundation of China(Grant Number:81772797)Shanghai Municipal Education Commission—Gaofeng Clinical Medicine Grant Support(20172007)Ruijin Hospital,Shanghai Jiao Tong University School of Medicine“Guangci Excellent Youth Training Program”(GCQN-2017-A18)。
文摘Single-cell RNA sequencing(scRNA-seq)is a novel technology that allows transcriptomic analyses of individual cells.During the past decade,scRNA-seq sensitivity,accuracy,and efficiency have improved due to innovations including more sensitive,automated,and cost-effective single-cell isolation methods with higher throughput as well as ongoing technological development of scRNA-seq protocols.Among the variety of current approaches with distinct features,researchers can choose the most suitable method to carry out their research.By profiling single cells in a complex population mix,scRNA-seq presents great advantages over traditional sequencing methods in dissecting heterogeneity in cell populations hidden in bulk analysis and exploring rare cell types associated with tumorigenesis and metastasis.scRNA-seq studies in recent years in the field of breast cancer research have clustered breast cancer cell populations with different molecular subtypes to identify distinct populations that may correlate with poor prognosis and drug resistance.The technology has also been used to explain tumor microenvironment heterogeneity by identifying distinct immune cell subsets that may be associated with immunosurveillance and are potential immunotherapy targets.Moreover,scRNA-seq has diverse applications in breast cancer research besides exploring heterogeneity,including the analysis of cell-cell communications,regulatory single-cell states,immune cell distributions,and more.scRNA-seq is also a promising tool that can facilitate individualized therapy due to its ability to define cell subsets with potential treatment targets.Although scRNA-seq studies of therapeutic selection in breast cancer are currently limited,the application of this technology in this field is prospective.Joint efforts and original ideas are needed to better implement scRNA-seq technologies in breast cancer research to pave the way for individualized treatment management.This review provides a brief introduction on the currently available scRNA-seq approaches along with their corresponding strengths and weaknesses and may act as a reference for the selection of suitable methods for research.We also discuss the current applications of scRNA-seq in breast cancer research for tumor heterogeneity analysis,individualized therapy,and the other research directions mentioned above by reviewing corresponding published studies.Finally,we discuss the limitations of current scRNA-seq technologies and technical problems that remain to be overcome.
文摘Metastatic Renal Cell Carcinoma(mRCC)is a highly heterogeneous disease that is notoriously difficult to treat successfully.However,the discovery of novel,targeted therapies over the last decade has revolutionized its management.As the therapeutic options continue to evolve,developing a more individualized treatment strategy is of paramount importance.The International mRCC Database Consortium(IMDC)is a prognostic model that is commonly used in trials and clinical settings to risk stratify patients.This allows for optimal therapy selection on a more individual basis.However,the distinct lack of validated predictive biomarkers in mRCC renders it difficult to assess therapy response.An improved understanding of tumor biology and genetics has prompted a shift from cytokine therapy to the use of vascular endothelial growth factor(VEGF)inhibitors,tyrosine kinase Inhibitors,immune checkpoint inhibitors or combination strategies.Studies have identified some putative markers and genetic mutations as potential predictors of therapy response.Early results are promising,and there are many ongoing trials further assessing their suitability for clinical use.This review will evaluate the current treatment landscape and molecular biology of mRCC,with a specific focus on the prognostic and predictive markers available to guide treatment options and further improve patient outcomes.
文摘Objective To explore the feasibility of mediating recipient lymphocyte reaction with donor dendritic cells ( Dcs) in renal allograft recipients to guide individualized immunosuppressive therapy. Methods From Jan. 2008 to Jan. 2010,30 recipients received living related kidney transplantation were successively and divided into
基金funded by the Key Research and Development Project of the Science and Technology Department of Sichuan Province(No.2021YFS0010).
文摘Purpose:The present study summarized cases of children(n=32)with medulloblastoma(MB)who were treated using stratified therapy based on risk grading and also discussed the factors affecting prognosis.Methods:According to the risk stratification criteria,the cases were divided into the following four risk groups:low,standard,high,and very high.The 5-year overall survival(OS)and progression-free survival(PFS)rates were summarized.Further,the effects on the prognosis of tumor size,tumor stage,degree of resection,treatment mode,metastatic recurrence,molecular typing,and risk stratification were analyzed.Results:In the present study,following surgery,3 cases abandoned radiotherapy(RT)and chemotherapy(CHT),7 cases(<3 years of age)received only CHT,and 22 cases received combined RT and CHT.Total and near-total tumor resections were performed in 29 cases(90.6%).Subtotal resections were performed in 3 cases,and there were no surgery-related deaths.The average follow-up duration was 47 months.The average 5-year PFS and OS rates were 57.3%±7.2%and 68.7%±8.6%,respectively.The OS and PFS rates were significantly correlated with tumor-risk stratification,molecular staging,tumor stage,treatment mode,and recurrence after surgery(p<0.01).The degree of tumor resection,pathological type,and the presence of preoperative implantation were secondary factors affecting the prognosis(p<0.05).Age was correlated with the PFS rate.There was no correlation between age/tumor location/tumor size and prognosis(p>0.05).Favorable prognostic factors in the low-and standard-risk groups were stage M0,wingless-type MB,postoperative RT combined with CHT,no postoperative recurrence,age≥3 years,and total tumor resection.Conclusions:Personalized treatment strategies based on the risk stratification of MB and postoperative stratified comprehensive treatment could help improve the prognosis for MB.
基金supported by grants from National Natural Science Foundation of China(No.32271470)CAMS Innovation Fund for Medical Sciences(CIFMS)(No.2021-I2M-1-058).
文摘Pancreatic cancer(PC)is a prevalent digestive malignancy worldwide and ranks as the fourth leading cause of cancer-related deaths globally.The incidence and mortality rates have been increasing annually,and due to its insidious onset and high malignancy,most patients are diagnosed at an advanced stage,with a 5-year survival rate of less than 8%(1).PC can be classified into endocrine and exocrine tumors,with over 95% of pancreatic malignant tumors originating from the exocrine portion of the pancreas.
