| 1 | Reverse engineering a predictive signature characterized by proliferation,DNA damage,and immune escape from stage I lung adenocarcinoma recurrence显示文摘Identifying early-stage cancer patients at risk for progression is a major goal of biomarker research.This report describes a novel 19-gene signature(19-GCS)that predicts stage I lung adenocarcinoma(LAC)recurrence and responseto therapy and performs comparably in pancreatic adenocarcinoma(PAC),which shares LAC molecular traits.Kaplan-Meier,Cox regression,and cross-validation analyses were used to build the signature from training,test,and validation sets comprising 831 stage I LAC transcriptomes from multiple independent data sets.A statistical analysis was performed using the R Ianguage.Pathway and gene set enrichment were used to identify underlying mechanisms.19-GCS strongly predicts overall survival and recurrence-free survival in stage I LAC(P=0.002 and P<0.001,respectively)and in stage l-ll PAC(P<0.0001 and Pv0.0005,respectively).A multivariate cox regression analysis demonstrated the independence of 19-GCS from significant clinical factors.Pathway analyses revealed that 19-GCS high-risk LAC and PAC tumors are characterized by increased proliferation,enhanced sternness,DNA repair deficiency,and compromised MHC class I and II antigen presentation along with decreased immune infiltration.Importantly,high-risk LAC patients do not appear to benefit from adjuvant cisplatin while PAC patients derive additi onal ben efit from FOLFIRINOX compared with gemcitabi ne-based regimens.Whe n validated prospectively,this proof-of-c on cept biomarker may con tribute to tailoring treatment,recurrence reduction,and survival improvements in early-stage lung and pancreatic cancers. | Jiannan Yao Xinying Xue Dongfeng Qu C.Benedikt Westphalen Yang Ge Liyang Zhang Manyu Li Tianbo Gao Parthasarathy Chandrakesan Kenneth J.Vega Jun Peng Guangyu An Nathaniel Weygant | 2020 | Acta Biochimica et Biophysica Sinica2020，52，6： | 0 |
| 2 | Research on medical data storage and sharing model based on blockchain显示文摘With the process of medical informatization,medical diagnosis results are recorded and shared in the form of electronic data in the computer.However,the security of medical data storage cannot be effectively protected and the unsafe sharing of medical data among different institutions is still a hidden danger that cannot be underestimated.To solve the above problems,a secure storage and sharing model of private data based on blockchain technology and homomorphic encryption is constructed.Based on the idea of blockchain decentralization,the model maintains a reliable medical alliance chain system to ensure the safe transmission of data between different institutions;A privacy data encryption and computing protocol based on homomorphic encryption is constructed to ensure the safe transmission of medical data;Using its complete anonymity to ensure the Blockchain of medical data and patient identity privacy;A strict transaction control management mechanism of medical data based on Intelligent contract automatic execution of preset instructions is proposed.After security verification,compared with the traditional medical big data storage and sharing mode,the model has better security and sharing. | Jian Zhao Wenqian Qiang Zisong Zhao Tianbo An Zhejun Kuang Dawei Xu Lijuan Shi | 2023 | High-Confidence Computing2023，3，3： | 0 |
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