Prediction of colorectal cancer diagnosis based on circulating plasma proteins

Silvia Surinova; Meena Choi; Sha Tao; Peter J. Schüffler; Ching Yun Chang; Timothy Clough; Kamil Vysloužil; Marta Khoylou; Josef Srovnal; Yansheng Liu; Mariette Matondo; Ruth Hüttenhain; Hendrik Weisser; Joachim M. Buhmann; Marián Hajdúch; Hermann Brenner; Olga Vitek; Ruedi Aebersold

doi:10.15252/emmm.201404873

Prediction of colorectal cancer diagnosis based on circulating plasma proteins

Silvia Surinova, Meena Choi, Sha Tao, Peter J. Schüffler, Ching Yun Chang, Timothy Clough, Kamil Vysloužil, Marta Khoylou, Josef Srovnal, Yansheng Liu, Mariette Matondo, Ruth Hüttenhain, Hendrik Weisser, Joachim M. Buhmann, Marián Hajdúch, Hermann Brenner, Olga Vitek, Ruedi Aebersold

Research output: Contribution to journal › Article › peer-review

82 Scopus citations

Abstract

Non-invasive detection of colorectal cancer with blood-based markers is a critical clinical need. Here we describe a phased mass spectrometry-based approach for the discovery, screening, and validation of circulating protein biomarkers with diagnostic value. Initially, we profiled human primary tumor tissue epithelia and characterized about 300 secreted and cell surface candidate glycoproteins. These candidates were then screened in patient systemic circulation to identify detectable candidates in blood plasma. An 88-plex targeting method was established to systematically monitor these proteins in two large and independent cohorts of plasma samples, which generated quantitative clinical datasets at an unprecedented scale. The data were deployed to develop and evaluate a five-protein biomarker signature for colorectal cancer detection.

Original language	English
Pages (from-to)	1166-1178
Number of pages	13
Journal	EMBO Molecular Medicine
Volume	7
Issue number	9
DOIs	https://doi.org/10.15252/emmm.201404873
State	Published - 1 Sep 2015
Externally published	Yes

Keywords

Colorectal cancer
Diagnostic protein biomarker
Discovery-driven and targeted proteomics

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.15252/emmm.201404873

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Surinova, S., Choi, M., Tao, S., Schüffler, P. J., Chang, C. Y., Clough, T., Vysloužil, K., Khoylou, M., Srovnal, J., Liu, Y., Matondo, M., Hüttenhain, R., Weisser, H., Buhmann, J. M., Hajdúch, M., Brenner, H., Vitek, O., & Aebersold, R. (2015). Prediction of colorectal cancer diagnosis based on circulating plasma proteins. EMBO Molecular Medicine, 7(9), 1166-1178. https://doi.org/10.15252/emmm.201404873

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title = "Prediction of colorectal cancer diagnosis based on circulating plasma proteins",

abstract = "Non-invasive detection of colorectal cancer with blood-based markers is a critical clinical need. Here we describe a phased mass spectrometry-based approach for the discovery, screening, and validation of circulating protein biomarkers with diagnostic value. Initially, we profiled human primary tumor tissue epithelia and characterized about 300 secreted and cell surface candidate glycoproteins. These candidates were then screened in patient systemic circulation to identify detectable candidates in blood plasma. An 88-plex targeting method was established to systematically monitor these proteins in two large and independent cohorts of plasma samples, which generated quantitative clinical datasets at an unprecedented scale. The data were deployed to develop and evaluate a five-protein biomarker signature for colorectal cancer detection.",

keywords = "Colorectal cancer, Diagnostic protein biomarker, Discovery-driven and targeted proteomics",

author = "Silvia Surinova and Meena Choi and Sha Tao and Sch{\"u}ffler, {Peter J.} and Chang, {Ching Yun} and Timothy Clough and Kamil Vyslou{\v z}il and Marta Khoylou and Josef Srovnal and Yansheng Liu and Mariette Matondo and Ruth H{\"u}ttenhain and Hendrik Weisser and Buhmann, {Joachim M.} and Mari{\'a}n Hajd{\'u}ch and Hermann Brenner and Olga Vitek and Ruedi Aebersold",

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doi = "10.15252/emmm.201404873",

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Surinova, S, Choi, M, Tao, S, Schüffler, PJ, Chang, CY, Clough, T, Vysloužil, K, Khoylou, M, Srovnal, J, Liu, Y, Matondo, M, Hüttenhain, R, Weisser, H, Buhmann, JM, Hajdúch, M, Brenner, H, Vitek, O & Aebersold, R 2015, 'Prediction of colorectal cancer diagnosis based on circulating plasma proteins', EMBO Molecular Medicine, vol. 7, no. 9, pp. 1166-1178. https://doi.org/10.15252/emmm.201404873

TY - JOUR

T1 - Prediction of colorectal cancer diagnosis based on circulating plasma proteins

AU - Surinova, Silvia

AU - Choi, Meena

AU - Tao, Sha

AU - Schüffler, Peter J.

AU - Chang, Ching Yun

AU - Clough, Timothy

AU - Vysloužil, Kamil

AU - Khoylou, Marta

AU - Srovnal, Josef

AU - Liu, Yansheng

AU - Matondo, Mariette

AU - Hüttenhain, Ruth

AU - Weisser, Hendrik

AU - Buhmann, Joachim M.

AU - Hajdúch, Marián

AU - Brenner, Hermann

AU - Vitek, Olga

AU - Aebersold, Ruedi

PY - 2015/9/1

Y1 - 2015/9/1

N2 - Non-invasive detection of colorectal cancer with blood-based markers is a critical clinical need. Here we describe a phased mass spectrometry-based approach for the discovery, screening, and validation of circulating protein biomarkers with diagnostic value. Initially, we profiled human primary tumor tissue epithelia and characterized about 300 secreted and cell surface candidate glycoproteins. These candidates were then screened in patient systemic circulation to identify detectable candidates in blood plasma. An 88-plex targeting method was established to systematically monitor these proteins in two large and independent cohorts of plasma samples, which generated quantitative clinical datasets at an unprecedented scale. The data were deployed to develop and evaluate a five-protein biomarker signature for colorectal cancer detection.

AB - Non-invasive detection of colorectal cancer with blood-based markers is a critical clinical need. Here we describe a phased mass spectrometry-based approach for the discovery, screening, and validation of circulating protein biomarkers with diagnostic value. Initially, we profiled human primary tumor tissue epithelia and characterized about 300 secreted and cell surface candidate glycoproteins. These candidates were then screened in patient systemic circulation to identify detectable candidates in blood plasma. An 88-plex targeting method was established to systematically monitor these proteins in two large and independent cohorts of plasma samples, which generated quantitative clinical datasets at an unprecedented scale. The data were deployed to develop and evaluate a five-protein biomarker signature for colorectal cancer detection.

KW - Colorectal cancer

KW - Diagnostic protein biomarker

KW - Discovery-driven and targeted proteomics

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DO - 10.15252/emmm.201404873

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AN - SCOPUS:84940786379

SN - 1757-4676

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EP - 1178

JO - EMBO Molecular Medicine

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Prediction of colorectal cancer diagnosis based on circulating plasma proteins

Abstract

Keywords

UN SDGs

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