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dc.contributor.author
Surinova, Silvia
dc.contributor.author
Choi, Meena
dc.contributor.author
Tao, Sha
dc.contributor.author
Schüffler, Peter J.
dc.contributor.author
Chang, Ching‐Yun
dc.contributor.author
Clough, Timothy
dc.contributor.author
Vyslouzil, Kamil
dc.contributor.author
Khoylou, Marta
dc.contributor.author
Srovnal, Josef
dc.contributor.author
Liu, Yansheng
dc.contributor.author
Matondo, Mariette
dc.contributor.author
Hüttenhain, Ruth
dc.contributor.author
Weisser, Hendrik
dc.contributor.author
Buhmann, Joachim M.
dc.contributor.author
Hajdúch, Marián
dc.contributor.author
Brenner, Hermann
dc.contributor.author
Vitek, Olga
dc.contributor.author
Aebersold, Ruedi
dc.date.accessioned
2019-08-21T12:08:09Z
dc.date.available
2017-06-11T19:28:50Z
dc.date.available
2019-08-21T12:08:09Z
dc.date.issued
2015-09
dc.identifier.issn
1757-4676
dc.identifier.issn
1757-4684
dc.identifier.other
10.15252/emmm.201404873
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/104543
dc.identifier.doi
10.3929/ethz-b-000104543
dc.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.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Wiley
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.subject
Colorectal cancer
en_US
dc.subject
Diagnostic protein biomarker
en_US
dc.subject
Discovery-driven and targeted proteomics
en_US
dc.title
Prediction of colorectal cancer diagnosis based on circulating plasma proteins
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 4.0 International
dc.date.published
2015-08-07
ethz.journal.title
EMBO Molecular Medicine
ethz.journal.volume
7
en_US
ethz.journal.issue
9
en_US
ethz.journal.abbreviated
EMBO Mol Med
ethz.pages.start
1166
en_US
ethz.pages.end
1178
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.wos
ethz.identifier.nebis
005874008
ethz.publication.place
Weinheim
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02150 - Dep. Informatik / Dep. of Computer Science::02661 - Institut für Maschinelles Lernen / Institute for Machine Learning::03659 - Buhmann, Joachim M. / Buhmann, Joachim M.
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02030 - Dep. Biologie / Dep. of Biology::02538 - Institut für Molekulare Systembiologie / Institute for Molecular Systems Biology::03663 - Aebersold, Rudolf (emeritus) / Aebersold, Rudolf (emeritus)
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02150 - Dep. Informatik / Dep. of Computer Science::02661 - Institut für Maschinelles Lernen / Institute for Machine Learning::03659 - Buhmann, Joachim M. / Buhmann, Joachim M.
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02030 - Dep. Biologie / Dep. of Biology::02538 - Institut für Molekulare Systembiologie / Institute for Molecular Systems Biology::03663 - Aebersold, Rudolf (emeritus) / Aebersold, Rudolf (emeritus)
ethz.date.deposited
2017-06-11T19:29:05Z
ethz.source
ECIT
ethz.identifier.importid
imp59365380175a855915
ethz.ecitpid
pub:163662
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2017-07-26T19:22:23Z
ethz.rosetta.lastUpdated
2022-03-28T23:31:02Z
ethz.rosetta.versionExported
true
ethz.COinS
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