Methotrexate,etoposide,dexamethasone,and pegaspargase(MESA)with sandwiched radiotherapy is known to be effective for early-stage extranodal natural killer/T-cell lymphoma,nasal type(NKTCL).We explored the efficacy and...Methotrexate,etoposide,dexamethasone,and pegaspargase(MESA)with sandwiched radiotherapy is known to be effective for early-stage extranodal natural killer/T-cell lymphoma,nasal type(NKTCL).We explored the efficacy and safety of reduced-intensity,non-intravenous etoposide,dexamethasone,and pegaspargase(ESA)with sandwiched radiotherapy.This multicenter,randomized,phase III trial enrolled patients aged between 14 and 70 years with newly diagnosed early-stage nasal NKTCL from 27 centers in China.Patients were randomly assigned(1:1)to receive ESA(pegaspargase 2,500 IU/m^(2)intramuscularly on day 1,etoposide 200 mg orally,and dexamethasone 40 mg orally on days 2–4)or MESA(methotrexate 1 g/m^(2)intravenously on day 1,etoposide 200 mg orally,and dexamethasone 40 mg orally on days 2–4,and pegaspargase 2,500 IU/m^(2)intramuscularly on day 5)regimen(four cycles),combined with sandwiched radiotherapy.展开更多
KNN set similarity search is a foundational operation in various realistic applications in cloud computing.However,for security consideration,sensitive data will always be encrypted before uploading to the cloud serve...KNN set similarity search is a foundational operation in various realistic applications in cloud computing.However,for security consideration,sensitive data will always be encrypted before uploading to the cloud servers,which makes the search processing a challenging task.In this paper,we focus on the problem of KNN set similarity search over the encrypted datasets.We use Yao’s garbled circuits and secret sharing as underlying tools.To achieve better querying efficiency,we construct a secure R-Tree index structure based on a novel secure grouping protocol,which enables grouping appropriate private values in an oblivious way.Along with several elaborately designed secure arithmetic subroutines,we propose an efficient secure and verifiable KNN set similarity search framework over outsourced clouds.Theoretically,we analyze the complexity of our schemes in detail,and prove the security in the presence of semi-honest adversaries.Finally,we evaluate the performance and feasibility of our proposed methods by extensive experiments.展开更多
基金supported by the Union for China Lymphoma Investigators,and funded by the Multicenter Clinical Research Project by Shanghai Jiao Tong University School of Medicine(DLY201601)the National Key R&D Program of China(2022YFC 2502600)+3 种基金the National Natural Science Foundation of China(82130004,81830007,82070204,and 81670176)Chang Jiang Scholars Program,Shanghai Municipal Education Commission Gaofeng Clinical Medicine Grant Support(20152206 and 20152208)the Clinical Research Plan of Shanghai Hospital Development Center(SHDC2020CR1032B)the Collaborative Innovation Center of Systems Biomedicine,and the Samuel Waxman Cancer Research Foundation.
文摘Methotrexate,etoposide,dexamethasone,and pegaspargase(MESA)with sandwiched radiotherapy is known to be effective for early-stage extranodal natural killer/T-cell lymphoma,nasal type(NKTCL).We explored the efficacy and safety of reduced-intensity,non-intravenous etoposide,dexamethasone,and pegaspargase(ESA)with sandwiched radiotherapy.This multicenter,randomized,phase III trial enrolled patients aged between 14 and 70 years with newly diagnosed early-stage nasal NKTCL from 27 centers in China.Patients were randomly assigned(1:1)to receive ESA(pegaspargase 2,500 IU/m^(2)intramuscularly on day 1,etoposide 200 mg orally,and dexamethasone 40 mg orally on days 2–4)or MESA(methotrexate 1 g/m^(2)intravenously on day 1,etoposide 200 mg orally,and dexamethasone 40 mg orally on days 2–4,and pegaspargase 2,500 IU/m^(2)intramuscularly on day 5)regimen(four cycles),combined with sandwiched radiotherapy.
基金This work was supported by the Natural Science Foundation of China(61602400)Jiangsu Provincial Department of Education(16KJB520043).
文摘KNN set similarity search is a foundational operation in various realistic applications in cloud computing.However,for security consideration,sensitive data will always be encrypted before uploading to the cloud servers,which makes the search processing a challenging task.In this paper,we focus on the problem of KNN set similarity search over the encrypted datasets.We use Yao’s garbled circuits and secret sharing as underlying tools.To achieve better querying efficiency,we construct a secure R-Tree index structure based on a novel secure grouping protocol,which enables grouping appropriate private values in an oblivious way.Along with several elaborately designed secure arithmetic subroutines,we propose an efficient secure and verifiable KNN set similarity search framework over outsourced clouds.Theoretically,we analyze the complexity of our schemes in detail,and prove the security in the presence of semi-honest adversaries.Finally,we evaluate the performance and feasibility of our proposed methods by extensive experiments.
