Diagnosing, Typing, and Staging of Renal Cell Carcinoma by Designer Matrix-Based Urinary Metabolic Analysis | |
Hu, Xufang2,3; Wang, Zongping4; Chen, Haolin2,3; Zhao, An1,5; Sun, Nianrong2,3; Deng, Chunhui2,3 | |
刊名 | ANALYTICAL CHEMISTRY |
2022-10-19 | |
ISSN号 | 0003-2700 |
DOI | 10.1021/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. |
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关键词 | DESORPTION/IONIZATION MASS-SPECTROMETRY ; LASER DESORPTION/IONIZATION ; MANAGEMENT ; CANCER |
WOS研究方向 | Chemistry |
语种 | 英语 |
出版者 | AMER CHEMICAL SOC |
WOS记录号 | WOS:000875688600001 |
资助机构 | National Key R&D Program of China ; National Natural Science Foundation of China ; Shanghai Sailing Program |
内容类型 | 期刊论文 |
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, Expt Res Ctr, Hangzhou 310000, Peoples R China 2.Fudan Univ, Zhongshan Hosp, Dept Gastroenterol & Hepatol, Shanghai 200032, Peoples R China 3.Fudan Univ, Dept Chem, Shanghai 200032, Peoples R China 4.Univ Chinese Acad Sci, Canc Hosp, Zhejiang Canc Hosp, Dept Urol, Hangzhou 310000, Peoples R China 5.Chinese Acad Sci, Inst Canc & Basic Med ICBM, Hangzhou 310022, 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). |
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