Colorectal Cancer Detection Using Targeted Serum Metabolic Profiling
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- 作者：Jiangjiang Zhu ; Danijel Djukovic ; Lingli Deng ; Haiwei Gu ; Farhan Himmati ; E. Gabriela Chiorean ; Daniel Raftery
- 刊名：Journal of Proteome Research
- 出版年：2014
- 出版时间：September 5, 2014
- 年：2014
- 卷：13
- 期：9
- 页码：4120-4130
- 全文大小：477K
- ISSN：1535-3907
文摘
Colorectal cancer (CRC) is one of the most prevalent and deadly cancers in the world. Despite an expanding knowledge of its molecular pathogenesis during the past two decades, robust biomarkers to enable screening, surveillance, and therapy monitoring of CRC are still lacking. In this study, we present a targeted liquid chromatography鈥搕andem mass spectrometry-based metabolic profiling approach for identifying biomarker candidates that could enable highly sensitive and specific CRC detection using human serum samples. In this targeted approach, 158 metabolites from 25 metabolic pathways of potential significance were monitored in 234 serum samples from three groups of patients (66 CRC patients, 76 polyp patients, and 92 healthy controls). Partial least-squares鈥揹iscriminant analysis (PLS鈥揇A) models were established, which proved to be powerful for distinguishing CRC patients from both healthy controls and polyp patients. Receiver operating characteristic curves generated based on these PLS鈥揇A models showed high sensitivities (0.96 and 0.89, respectively, for differentiating CRC patients from healthy controls or polyp patients), good specificities (0.80 and 0.88), and excellent areas under the curve (0.93 and 0.95). Monte Carlo cross validation was also applied, demonstrating the robust diagnostic power of this metabolic profiling approach.