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Diagnosing, Typing, and Staging of Renal Cell Carcinoma by Designer Matrix-Based Urinary Metabolic Analysis

文献类型：期刊论文

作者Hu, Xufang4,5; Wang, Zongping1; Chen, Haolin4,5; Zhao, An2,3; Sun, Nianrong4,5; Deng, Chunhui4,5
刊名ANALYTICAL CHEMISTRY
出版日期2022-10-19
ISSN号0003-2700
DOI10.1021/acs.analchem.2c01563
通讯作者Zhao, An(zhaoan@zjcc.org.cn) ; Sun, Nianrong(chdeng@fudan.edu.cn) ; Deng, Chunhui(chdeng@fudan.edu.cn)
英文摘要Molecular diagnosing, typing, and staging have been considered to be the ideal alternatives of imaging-based detection methods in clinics. Designer matrix-based analytical tools, with high speed, throughout, efficiency and low/noninvasiveness, have attracted much attention recently for in vitro metabolite detection. Herein, we develop an advanced metabolic analysis tool based on highly porous metal oxides derived from available metal-organic frameworks (MOFs), which elaborately inherit the morphology and porosity of MOFs and newly incorporate laser adsorption capacity of metal oxides. Through optimized conditions, direct high-quality fingerprinting spectra in 0.5 mu L of urine are acquired. Using these fingerprinting spectra, we can discriminate the renal cell carcinoma (RCC) from healthy controls with higher than 0.99 of area under the curve (AUC) values (R2Y(cum) = 0.744, Q2 (cum) = 0.880), as well, from patients with other tumors (R2Y(cum) = 0.748, Q2(cum) = 0.871). We also realize the typing of three RCC subtypes, including clear cell RCC, chromophobe RCC (R2Y(cum) = 0.620, Q2(cum) = 0.656), and the staging of RCC (R2Y(cum) = 0.755, Q2(cum) = 0.857). Moreover, the tumor sizes (threshold value is 3 cm) can be remarkably recognized by this advanced metabolic analysis tool (R2Y(cum) = 0.710, Q2(cum) = 0.787). Our work brings a bright prospect for designer matrix-based analytical tools in disease diagnosis, typing and staging.
WOS关键词DESORPTION/IONIZATION MASS-SPECTROMETRY ; LASER DESORPTION/IONIZATION ; MANAGEMENT ; CANCER
资助项目National Key R&D Program of China ; National Natural Science Foundation of China ; Shanghai Sailing Program ; [2018YFA0507501] ; [22074019] ; [21425518] ; [22004017] ; [20YF1405300]
WOS研究方向Chemistry
语种英语
WOS记录号WOS:000875688600001
出版者AMER CHEMICAL SOC
资助机构National Key R&D Program of China ; National Natural Science Foundation of China ; Shanghai Sailing Program
源URL[http://ir.hfcas.ac.cn:8080/handle/334002/129803]  
专题中国科学院合肥物质科学研究院
通讯作者Zhao, An; Sun, Nianrong; Deng, Chunhui
作者单位1.Univ Chinese Acad Sci, Canc Hosp, Zhejiang Canc Hosp, Dept Urol, Hangzhou 310000, Peoples R China
2.Univ Chinese Acad Sci, Canc Hosp, Zhejiang Canc Hosp, Expt Res Ctr, Hangzhou 310000, Peoples R China
3.Chinese Acad Sci, Inst Canc & Basic Med ICBM, Hangzhou 310022, Peoples R China
4.Fudan Univ, Zhongshan Hosp, Dept Gastroenterol & Hepatol, Shanghai 200032, Peoples R China
5.Fudan Univ, Dept Chem, Shanghai 200032, Peoples R China
推荐引用方式
GB/T 7714		 Hu, Xufang,Wang, Zongping,Chen, Haolin,et al. Diagnosing, Typing, and Staging of Renal Cell Carcinoma by Designer Matrix-Based Urinary Metabolic Analysis[J]. ANALYTICAL CHEMISTRY,2022.
APA Hu, Xufang,Wang, Zongping,Chen, Haolin,Zhao, An,Sun, Nianrong,&Deng, Chunhui.(2022).Diagnosing, Typing, and Staging of Renal Cell Carcinoma by Designer Matrix-Based Urinary Metabolic Analysis.ANALYTICAL CHEMISTRY.
MLA Hu, Xufang,et al."Diagnosing, Typing, and Staging of Renal Cell Carcinoma by Designer Matrix-Based Urinary Metabolic Analysis".ANALYTICAL CHEMISTRY (2022).

入库方式： OAI收割

来源：合肥物质科学研究院

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