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An Integrated Proteomics and Metabolomics Approach for Defining Oncofetal Biomarkers in the Colorectal Cancer

代谢组学 蛋白质组学 代谢组 医学 差异凝胶电泳 代谢物 结直肠癌 生物标志物 癌症 癌胚抗原 肿瘤科 生物信息学 计算生物学 内科学 生物 生物化学 基因 免疫疗法 肿瘤相关抗原
作者
Yanlei Ma,Peng Zhang,Feng Wang,Weijie Liu,Jian-Jun Yang,Huanlong Qin
出处
期刊:Annals of Surgery [Ovid Technologies (Wolters Kluwer)]
卷期号:255 (4): 720-730 被引量:81
标识
DOI:10.1097/sla.0b013e31824a9a8b
摘要

In Brief Objective: The present study was designed to search for potential diagnostic biomarkers in the serum of colorectal cancer (CRC). Background: CRC is the third most common cancer worldwide, and its prognosis is poor at early stages. A panel of novel biomarkers is urgently needed for early diagnosis of CRC. Methods: An integrated proteomics and metabolomics approach was performed to define oncofetal biomarkers in CRC by protein and metabolite profiling of serum samples from CRC patients, healthy control adults, and fetus. The differentially expressed proteins were identified by a 2-D DIGE (2-Dimensional Difference Gel Electrophoresis) coupled with a Finnigan LTQ-based proteomics approach. Meanwhile, the serum metabolome was analyzed using gas chromatography-mass spectrometry integrated with a commercial mass spectral library for peak identification. Results: Of the 28 identified proteins and the 34 analyzed metabolites, only 5 protein spots and 6 metabolites were significantly increased or decreased in both CRC and fetal serum groups compared with the healthy adult group. Data from supervised predictive models allowed a separation of 93.5% of CRC patients from the healthy controls using the 6 metabolites. Finally, correlation analysis was applied to establish quantitative linkages between the 5 individual metabolite 3-hydroxybutyric acid, L-valine, L-threonine, 1-deoxyglucose, and glycine and the 5 individual proteins MACF1, APOH, A2M, [email protected], and VDB. Furthermore, 10 potential oncofetal biomarkers were characterized and their potential for CRC diagnosis was validated. Conclusion: The integrated approach we developed will promote the translation of biomarkers with clinical value into routine clinical practice. The present study provides a comprehensive and integrated platform for the application of powerful novel technologies to collect and analyze proteomic and metabolomic data. Ten potential oncofetal biomarkers were found to be potentially useful for the diagnosis of CRC. We expect that such an integrated approach will ultimately ensure that biomarkers with clinical value make their way into routine clinical practice.
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