期刊
EUROPEAN JOURNAL OF CANCER
卷 127, 期 -, 页码 30-40出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.ejca.2019.11.021
关键词
Colorectal cancer; Early detection; Cancer prevention; Cancer biomarkers; Prevention and screening; Proteomics; Sensitivity; Specificity
类别
资金
- German Research Council (DFG) [BR1704/16-1]
- German Federal Ministry of Education and Research through the German Cancer Consortium (DKTK)
- Genome Canada [204PRO, 214PRO, 264PRO]
- Genome British Columbia [204PRO, 214PRO, 264PRO]
- Leading Edge Endowment Fund
- Segal McGill Chair in Molecular Oncology at McGill University (Montreal, Quebec, Canada)
- Warren Y. Soper Charitable Trust
- Alvin Segal Family Foundation
Blood-based protein biomarker signatures might be an alternative or supplement to existing methods for early detection of colorectal cancer (CRC) for population-based screening. The objective of this study was to derive a protein biomarker signature for early detection of CRC and its precursor advanced adenoma (AA). In a two-stage design, 270 protein markers were measured by liquid chromatography/multiple reaction monitoring/mass spectrometry in plasma samples of discovery and validation sets. In the discovery set consisting of 100 newly diagnosed CRC cases and 100 age- and sex-matched controls free of neoplasm at screening colonoscopy, the algorithms predicting the presence of early- or late-stage CRC were derived by Lasso regression and .632 + bootstrap. The prediction algorithms were then externally validated in an independent validation set consisting of participants of screening colonoscopy including 56 participants with CRC, 99 with AA and 99 controls without any colorectal neoplasms. Three different signatures for all-, early- and late-stage CRC consisting of five-, three- and eight-protein markers were obtained in the discovery set with areas under the curves (AUCs) after.632 + bootstrap adjustment of 0.85, 0.83 and 0.96, respectively. External validation in the representative screening population yielded AUCs of 0.79 (95% CI, 0.70-0.86), 0.79 (95% CI, 0.66-0.89) and 0.80 (95% CI, 0.70-0.89) for all-, early- and late-stage CRCs, respectively. The three-marker early-stage algorithm yielded an AUC of 0.65 (95% CI, 0.56-0.73) for detection of AA in the validation set. Although not yet competitive with available stool-based tests for CRC early detection, the identified proteins may contribute to the development of powerful blood-based tests for early detection of CRC and its precursors AAs. (C) 2019 Elsevier Ltd. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据