Objective To investigate the molecular classification of endometrial cancer(EC)and atypical endometrial hyperplasia(AEH)patients treated with fertility-sparing treatment(FST),and its relationship with clinicopathologi...Objective To investigate the molecular classification of endometrial cancer(EC)and atypical endometrial hyperplasia(AEH)patients treated with fertility-sparing treatment(FST),and its relationship with clinicopathological factors and treatment efficacy.Methods:A total of 52EC and AEH patients who received FST and molecular classification tested by next generation sequencing in Peking University People's Hospital from June 2020 to December 2022,were retrospectively collected.We analyzed the relationship between molecular classification and clinicopathological factors and treatment outcomes.Results(1)Of the 52 patients,including 46EC and 6 AEH patients,42(80.8%)achieved complete remission(CR)after FST,with a median time to achieve CR of 9 months.Ten cases(23.8%)had recurrence.(2)Patients were distributed into 4 molecular subgroups as 39 cases(75%)of copy number low(CNL),7 cases(13.5%)of microsatellite instability-high(MSI-H),4 cases(7.7%)of POLE mutations(POLEmut),and 2 cases(3.8%)of copy number high(CNH).Patients with MSI-H subgroup had more family history of tumor(6/7),more with loss of expression of mismatch repair(MMR)protein(7/7),and higher expression level of Ki-67(3/3).(3)Patients with MSI-H subgroup had the lowest CR rate at 6 months(0/7,P=0.014),and survival analysis showed that such patients were less likely to achieve CR than those with CNL(P=0.022).For CNL patients,median 6-month CR rate was 40.6%.In addition,CR was obtained in 3(3/4)POLEmut patients and 2(2/2)CNH patients,respectively.Conclusions Molecular classification relates with the treatment response in patients with EC and AEH receiving FST.Patients with MSI-H subgroup have poor treatment efficacy,and patients with CNL need to be further divided to predict treatment benefit.There are also a few successful cases in POLEmut and CNH subtgroups,which needs further research.展开更多
The soil,Soul of Infinite Life,is the entity responsible for sustaining life on earth.In spite of significant advances in the service sector,agriculture remains the major provider of employment and source of revenue i...The soil,Soul of Infinite Life,is the entity responsible for sustaining life on earth.In spite of significant advances in the service sector,agriculture remains the major provider of employment and source of revenue in India.Soil testing is a valuable tool for evaluating the available nutrient status of soil and helps to determine the proper amount of nutrients to be added to a given soil based on its fertility and crop needs.In the current study,the soil test report values are used to classify several significant soil features like village wise soil fertility indices of Available Phosphorus(P),Available Potassium(K),Organic Carbon(OC)and Boron(B),as well as the parameter Soil Reaction(pH).The classification and prediction of the village wise soil parameters aids in reducing wasteful expenditure on fertilizer inputs,increase profitability,save the time of chemical soil analysis experts,improves soil health and environmental quality.These five classification problems are solved using the fast learning classification technique known as Extreme Learning Machine(ELM)with different activation functions like gaussian radial basis,sine-squared,hyperbolic tangent,triangular basis,and hard limit.After the performance analysis of ELMs with diverse activation functions for these soil parameter classifications,the gaussian radial basis function attains the maximum performance for four out of five problems,which goes above 80%in most of the accuracy rate calculations in every problem,followed by hyperbolic tangent,hard limit,triangular basis,and sine-squared.However,the performance of the final classification problem,i.e.the pH classification,gives moderate values with the gaussian radial basis and best performance(near 90%),with the hyperbolic tangent.展开更多
基金National Key Technology Research and Developmental Program of China(Program Nos.2022YFC2704400,2022YFC2704405)the Biomedical Ethics Committee of Peking University People's Hospital(approval number:IRB00001052-19142).
文摘Objective To investigate the molecular classification of endometrial cancer(EC)and atypical endometrial hyperplasia(AEH)patients treated with fertility-sparing treatment(FST),and its relationship with clinicopathological factors and treatment efficacy.Methods:A total of 52EC and AEH patients who received FST and molecular classification tested by next generation sequencing in Peking University People's Hospital from June 2020 to December 2022,were retrospectively collected.We analyzed the relationship between molecular classification and clinicopathological factors and treatment outcomes.Results(1)Of the 52 patients,including 46EC and 6 AEH patients,42(80.8%)achieved complete remission(CR)after FST,with a median time to achieve CR of 9 months.Ten cases(23.8%)had recurrence.(2)Patients were distributed into 4 molecular subgroups as 39 cases(75%)of copy number low(CNL),7 cases(13.5%)of microsatellite instability-high(MSI-H),4 cases(7.7%)of POLE mutations(POLEmut),and 2 cases(3.8%)of copy number high(CNH).Patients with MSI-H subgroup had more family history of tumor(6/7),more with loss of expression of mismatch repair(MMR)protein(7/7),and higher expression level of Ki-67(3/3).(3)Patients with MSI-H subgroup had the lowest CR rate at 6 months(0/7,P=0.014),and survival analysis showed that such patients were less likely to achieve CR than those with CNL(P=0.022).For CNL patients,median 6-month CR rate was 40.6%.In addition,CR was obtained in 3(3/4)POLEmut patients and 2(2/2)CNH patients,respectively.Conclusions Molecular classification relates with the treatment response in patients with EC and AEH receiving FST.Patients with MSI-H subgroup have poor treatment efficacy,and patients with CNL need to be further divided to predict treatment benefit.There are also a few successful cases in POLEmut and CNH subtgroups,which needs further research.
文摘The soil,Soul of Infinite Life,is the entity responsible for sustaining life on earth.In spite of significant advances in the service sector,agriculture remains the major provider of employment and source of revenue in India.Soil testing is a valuable tool for evaluating the available nutrient status of soil and helps to determine the proper amount of nutrients to be added to a given soil based on its fertility and crop needs.In the current study,the soil test report values are used to classify several significant soil features like village wise soil fertility indices of Available Phosphorus(P),Available Potassium(K),Organic Carbon(OC)and Boron(B),as well as the parameter Soil Reaction(pH).The classification and prediction of the village wise soil parameters aids in reducing wasteful expenditure on fertilizer inputs,increase profitability,save the time of chemical soil analysis experts,improves soil health and environmental quality.These five classification problems are solved using the fast learning classification technique known as Extreme Learning Machine(ELM)with different activation functions like gaussian radial basis,sine-squared,hyperbolic tangent,triangular basis,and hard limit.After the performance analysis of ELMs with diverse activation functions for these soil parameter classifications,the gaussian radial basis function attains the maximum performance for four out of five problems,which goes above 80%in most of the accuracy rate calculations in every problem,followed by hyperbolic tangent,hard limit,triangular basis,and sine-squared.However,the performance of the final classification problem,i.e.the pH classification,gives moderate values with the gaussian radial basis and best performance(near 90%),with the hyperbolic tangent.
