Skip to Main content Skip to Navigation
Journal articles

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.
Complete list of metadatas

Cited literature [48 references]  Display  Hide  Download

https://hal-pasteur.archives-ouvertes.fr/pasteur-02573640
Contributor : Virginie Portelette <>
Submitted on : Thursday, May 14, 2020 - 2:27:20 PM
Last modification on : Wednesday, October 21, 2020 - 2:12:05 PM

File

Prediction of colorectal cance...
Publication funded by an institution

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Collections

Citation

Silvia Surinova, Meena Choi, Sha Tao, Peter Schüffler, Ching‐yun Chang, et al.. Prediction of colorectal cancer diagnosis based on circulating plasma proteins. EMBO Molecular Medicine, Wiley Open Access, 2015, 7 (9), pp.1166-1178. ⟨10.15252/emmm.201404873⟩. ⟨pasteur-02573640⟩

Share

Metrics

Record views

47

Files downloads

78