Background: Immunotherapy combined with chemotherapy has been approved as first-line therapy for small cell lung cancer(SCLC) due to the survival benefit in randomized controlled trials. However, predicting its effica...Background: Immunotherapy combined with chemotherapy has been approved as first-line therapy for small cell lung cancer(SCLC) due to the survival benefit in randomized controlled trials. However, predicting its efficacy remains a challenge in the absence of currently available biomarkers.Methods: A total of 140 individuals with SCLC who received immunotherapy were evaluated retrospectively. These patients were split into two distinct cohorts, the discovery cohort(80% of the total,n = 112) and the validation cohort(20% of the total, n = 28). The objective response rate(ORR), disease control rate(DCR), and responder(progression-free survival [PFS] > 6 months) were all predicted using neural networks.Results: We developed predictive models for three clinical outcomes.ORR scored 0.8964 area under the receiver operating characteristic curve(AUC) in the discovery cohort and 0.8421 AUC in the validation cohort. DCR model had AUC of 0.8618 in the discovery cohort and AUC of 0.7396 in the validation cohort. The responder model had AUC of 0.8116 in the discovery cohort and AUC of 0.7041 in the validation cohort. The models were then compressed into a doctor-friendly tool.Conclusion: These neural network-based models, which are based on routine clinical characteristics, accurately predict the efficacy of immunotherapy in patients with SCLC, particularly in terms of ORR.展开更多
DNA exonucleases and endonucleases are key executors of the genome during many physiological processes.They generate double-stranded DNA by cleaving damaged endogenous or exogenous DNA,triggering the activation of the...DNA exonucleases and endonucleases are key executors of the genome during many physiological processes.They generate double-stranded DNA by cleaving damaged endogenous or exogenous DNA,triggering the activation of the innate immune pathways such as cGAS-STING-IFN,and enabling the body to produce antiviral or anti-tumor immune responses.This is of great significance for maintaining the stability of the genome and improving the therapeu-tic efficacy of tumors.In addition,genomic instability caused by exonuclease mutations contributes to the development of various autoimmune diseases.This review summarizes the DNA exonucleases and endonucleases which have critical functions in immunity and associated diseases.展开更多
Ni3S2 nanosheet(NS) arrays on Ni foam were fabricated by a simple one-step electrodeposition strategy, and used as a kind of electrode material for asymmetric supercapacitors. The Ni3S2 NS arrays are interconnected, w...Ni3S2 nanosheet(NS) arrays on Ni foam were fabricated by a simple one-step electrodeposition strategy, and used as a kind of electrode material for asymmetric supercapacitors. The Ni3S2 NS arrays are interconnected, which can be regarded as bridges between these individual nanoparticle units. The electrochemical performances were evaluated by cyclic voltammetry and chronopotentiometry techniques in a three-electrode system. The Ni3S2 NS arrays display a specific capacitance of 773.6 F g^-1 at 1 A g^-1, and excellent rate property of 84.3% at 10 A g^-1. The performance of the Ni3S2 NS arrays was further investigated in an asymmetric supercapacitor for potential practical application. The asymmetric supercapacitor using the Ni3S2 electrode and reduced graphene oxide electrode as positive and negative electrodes, respectively, exhibits an energy density of 41.2 W h kg^-1 at 1.6 kW kg^-1. When up to 16 kW kg^-1, it holds 25.3 W h kg^-1.These excellent electrochemical performances are attributed to the improved electronic conductivity and rich redox reaction sites from Ni3S2 NS arrays. Our results indicate that the Ni3S2 NS arrays have great potential for supercapacitors.展开更多
文摘Background: Immunotherapy combined with chemotherapy has been approved as first-line therapy for small cell lung cancer(SCLC) due to the survival benefit in randomized controlled trials. However, predicting its efficacy remains a challenge in the absence of currently available biomarkers.Methods: A total of 140 individuals with SCLC who received immunotherapy were evaluated retrospectively. These patients were split into two distinct cohorts, the discovery cohort(80% of the total,n = 112) and the validation cohort(20% of the total, n = 28). The objective response rate(ORR), disease control rate(DCR), and responder(progression-free survival [PFS] > 6 months) were all predicted using neural networks.Results: We developed predictive models for three clinical outcomes.ORR scored 0.8964 area under the receiver operating characteristic curve(AUC) in the discovery cohort and 0.8421 AUC in the validation cohort. DCR model had AUC of 0.8618 in the discovery cohort and AUC of 0.7396 in the validation cohort. The responder model had AUC of 0.8116 in the discovery cohort and AUC of 0.7041 in the validation cohort. The models were then compressed into a doctor-friendly tool.Conclusion: These neural network-based models, which are based on routine clinical characteristics, accurately predict the efficacy of immunotherapy in patients with SCLC, particularly in terms of ORR.
基金supported by the Beijing Xisike Clinical Oncology Research Foundation (China) (No.Y-HR2020MS-0156 to T.M.)the National Natural Science Foundation of China (No.82273130 to T.M.).
文摘DNA exonucleases and endonucleases are key executors of the genome during many physiological processes.They generate double-stranded DNA by cleaving damaged endogenous or exogenous DNA,triggering the activation of the innate immune pathways such as cGAS-STING-IFN,and enabling the body to produce antiviral or anti-tumor immune responses.This is of great significance for maintaining the stability of the genome and improving the therapeu-tic efficacy of tumors.In addition,genomic instability caused by exonuclease mutations contributes to the development of various autoimmune diseases.This review summarizes the DNA exonucleases and endonucleases which have critical functions in immunity and associated diseases.
基金the financial support from the National Key R&D Program of China (2018YFF0215200)the Natural Science Foundation of Liaoning Province (201602104)+2 种基金the Support Program for Innovative Talents in Liaoning University (LR2017061)the Basic Research Project of Liaoning Province (LF2017007)the Scientific Public Welfare Research Foundation of Liaoning Province (20170054)
文摘Ni3S2 nanosheet(NS) arrays on Ni foam were fabricated by a simple one-step electrodeposition strategy, and used as a kind of electrode material for asymmetric supercapacitors. The Ni3S2 NS arrays are interconnected, which can be regarded as bridges between these individual nanoparticle units. The electrochemical performances were evaluated by cyclic voltammetry and chronopotentiometry techniques in a three-electrode system. The Ni3S2 NS arrays display a specific capacitance of 773.6 F g^-1 at 1 A g^-1, and excellent rate property of 84.3% at 10 A g^-1. The performance of the Ni3S2 NS arrays was further investigated in an asymmetric supercapacitor for potential practical application. The asymmetric supercapacitor using the Ni3S2 electrode and reduced graphene oxide electrode as positive and negative electrodes, respectively, exhibits an energy density of 41.2 W h kg^-1 at 1.6 kW kg^-1. When up to 16 kW kg^-1, it holds 25.3 W h kg^-1.These excellent electrochemical performances are attributed to the improved electronic conductivity and rich redox reaction sites from Ni3S2 NS arrays. Our results indicate that the Ni3S2 NS arrays have great potential for supercapacitors.
