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 pri...
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| Main Authors: | , , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Springer Nature
2015-08-01
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| Series: | EMBO Molecular Medicine |
| Subjects: | |
| Online Access: | https://doi.org/10.15252/emmm.201404873 |
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| author | 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 |
| author_facet | 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 |
| author_sort | Silvia Surinova |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-38dba3731a4d435cbe003ef84e6e0f61 |
| institution | Kabale University |
| issn | 1757-4676 1757-4684 |
| language | English |
| publishDate | 2015-08-01 |
| publisher | Springer Nature |
| record_format | Article |
| series | EMBO Molecular Medicine |
| spelling | doaj-art-38dba3731a4d435cbe003ef84e6e0f612025-08-20T04:02:55ZengSpringer NatureEMBO Molecular Medicine1757-46761757-46842015-08-01791166117810.15252/emmm.201404873Prediction of colorectal cancer diagnosis based on circulating plasma proteinsSilvia Surinova0Meena Choi1Sha Tao2Peter J Schüffler3Ching‐Yun Chang4Timothy Clough5Kamil Vysloužil6Marta Khoylou7Josef Srovnal8Yansheng Liu9Mariette Matondo10Ruth Hüttenhain11Hendrik Weisser12Joachim M Buhmann13Marián Hajdúch14Hermann Brenner15Olga Vitek16Ruedi Aebersold17Department of Biology, Institute of Molecular Systems Biology, ETH ZurichDepartment of Statistics, Purdue UniversityDivision of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ)Department of Computer Science, Institute for Machine Learning, ETH ZurichDepartment of Statistics, Purdue UniversityDepartment of Statistics, Purdue UniversityDepartment of Surgery, University Hospital in OlomoucInstitute of Molecular and Translational Medicine, Faculty of Medicine and Dentistry, Palacký UniversityInstitute of Molecular and Translational Medicine, Faculty of Medicine and Dentistry, Palacký UniversityDepartment of Biology, Institute of Molecular Systems Biology, ETH ZurichDepartment of Biology, Institute of Molecular Systems Biology, ETH ZurichDepartment of Biology, Institute of Molecular Systems Biology, ETH ZurichDepartment of Biology, Institute of Molecular Systems Biology, ETH ZurichDepartment of Computer Science, Institute for Machine Learning, ETH ZurichInstitute of Molecular and Translational Medicine, Faculty of Medicine and Dentistry, Palacký UniversityDivision of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ)Department of Statistics, Purdue UniversityDepartment of Biology, Institute of Molecular Systems Biology, ETH ZurichAbstract 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.https://doi.org/10.15252/emmm.201404873colorectal cancerdiagnostic protein biomarkerdiscovery‐driven and targeted proteomics |
| spellingShingle | 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 Prediction of colorectal cancer diagnosis based on circulating plasma proteins EMBO Molecular Medicine colorectal cancer diagnostic protein biomarker discovery‐driven and targeted proteomics |
| title | Prediction of colorectal cancer diagnosis based on circulating plasma proteins |
| title_full | Prediction of colorectal cancer diagnosis based on circulating plasma proteins |
| title_fullStr | Prediction of colorectal cancer diagnosis based on circulating plasma proteins |
| title_full_unstemmed | Prediction of colorectal cancer diagnosis based on circulating plasma proteins |
| title_short | Prediction of colorectal cancer diagnosis based on circulating plasma proteins |
| title_sort | prediction of colorectal cancer diagnosis based on circulating plasma proteins |
| topic | colorectal cancer diagnostic protein biomarker discovery‐driven and targeted proteomics |
| url | https://doi.org/10.15252/emmm.201404873 |
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