文献类型：期刊文献

英文题名：Defective Fe Metal-Organic Frameworks Enhance Metabolic Profiling for High-Accuracy Diagnosis of Human Cancers

作者：Yang, Jing[1,2,3];Yin, Xia[1];Zhang, Longzhou[4,5];Zhang, Xiwen[6];Lin, Yue[7];Zhuang, Linzhou[8];Liu, Wanshan[1,2,3];Zhang, Ru[2,3];Yan, Xuecheng[9];Shi, Li[6];Di, Wen[1];Feng, Lei[10];Jia, Yi[11,12];Wang, Jinlan[6];Qian, Kun[1,2,3];Yao, Xiangdong[9,13]

机构：[1]Shanghai Jiao Tong Univ, Renji Hosp, Sch Med,State Key Lab Oncogenes & Related Genes, Dept Obstet & Gynecol,Shanghai Key Lab Gynecol On, Shanghai 200127, Peoples R China;[2]Shanghai Jiao Tong Univ, Sch Biomed Engn, Inst Med Robot, Shanghai 200030, Peoples R China;[3]Shanghai Jiao Tong Univ, Sch Biomed Engn, Med X Res Inst, Shanghai 200030, Peoples R China;[4]Yunnan Univ, Sch Mat & Energy, Inst Optoelect Informat Mat, Kunming 650091, Yunnan, Peoples R China;[5]Yunnan Univ, Yunnan Key Lab Micro Nano Mat & Technol, Inst Optoelect Informat Mat, Kunming 650091, Yunnan, Peoples R China;[6]Southeast Univ, Sch Phys, Nanjing 211189, Peoples R China;[7]Univ Sci & Technol China, Hefei Natl Lab Phys Sci Microscale, Hefei 230026, Anhui, Peoples R China;[8]East China Univ Sci & Technol, Sch Chem Engn, Shanghai 200237, Peoples R China;[9]Griffith Univ, Queensland Micro & Nanotechnol Ctr, Sch Environm & Sci, Nathan Campus, Brisbane, Qld 4111, Australia;[10]Shanghai Jiao Tong Univ, Instrumental Anal Ctr, Shanghai 200030, Peoples R China;[11]Zhejiang Univ Technol, Dept Appl Chem, Hangzhou 310032, Peoples R China;[12]Zhejiang Univ Technol, Zhejiang Carbon Neutral Innovat Inst, Hangzhou 310032, Peoples R China;[13]Jilin Univ, Coll Chem, State Key Lab Inorgan Synth & Preparat Chem, Changchun 130012, Peoples R China

年份：2022

卷号：34

期号：26

外文期刊名：ADVANCED MATERIALS

收录：;EI(收录号：20222112145259);WOS:【SCI-EXPANDED(收录号:WOS:000798860700001)】；

基金：The authors are grateful for the financial support from projects 81971771 and 22033002 by NSFC, projects 2022YFE0103500, 2021YFF0703500, 2021YFA0910100, 2018YFC1312800, and 2017YFE0124400 by MOST, and project 2021-01-07-00-02-E00083 by Shanghai Institutions of Higher Learning. This work was also sponsored by Major Science and Technology Project of Precious Metal Materials Genome Engineering in Yunnan Province (Nos. 2019ZE001-1 and 202002AB080001-6), Shanghai RisingStar Programme (19QA1404800), Innovation Group Project of Shanghai Municipal Health Commission (2019CXJQ03), Innovation Research Plan by the Shanghai Municipal Education Commission (ZXWF082101), National Research Center for Translational Medicine Shanghai (TMSK2021-124, NRCTM(SH)-2021-06), and Medical-Engineering Joint Funds of Shanghai Jiao Tong University (YG2019QNA44, YG2021ZD09, YG2022QN107). The serum samples of healthy volunteers and lung cancer patients were collected from Shanghai Chest Hospital, School of Medicine, Shanghai Jiao Tong University. The serum samples of liver cancer patients and kidney cancer patients were recruited from Renji Hospital, School of Medicine, Shanghai Jiao Tong University. All the participants gave written informed consent for this study. This study was carried out in accordance with the Declaration of Helsinki and approved by the institutional ethics committees of the School of Biomedical Engineering, Renji Hospital, and Shanghai Chest Hospital, Shanghai Jiao Tong University (KS1736, 2018-103, and T2-T3N0M0).

语种：英文

外文关键词：cancer; diagnostics; mass spectrometry; metabolites; metal-organic frameworks

摘要：Cancers heavily threaten human life; therefore, a high-accuracy diagnosis is vital to protect human beings from the suffering of cancers. While biopsies and imaging methods are widely used as current technologies for cancer diagnosis, a new detection platform by metabolic analysis is expected due to the significant advantages of fast, simple, and cost-effectiveness with high body tolerance. However, the signal of molecule biomarkers is too weak to acquire high-accuracy diagnosis. Herein, precisely engineered metal-organic frameworks for laser desorption/ionization mass spectrometry, allowing favorable charge transfer within the molecule-substrate interface and mitigated thermal dissipation by adjusting the phonon scattering with metal nodes, are developed. Consequently, a surprising signal enhancement of approximate to 10 000-fold is achieved, resulting in diagnosis of three major cancers (liver/lung/kidney cancer) with area-under-the-curve of 0.908-0.964 and accuracy of 83.2%-90.6%, which promises a universal detection tool for large-scale clinical diagnosis of human cancers.