Non-invasive prognostic protein biomarker signatures associated with colorectal cancer.

Abstract:

:The current management of colorectal cancer (CRC) would greatly benefit from non-invasive prognostic biomarkers indicative of clinicopathological tumor characteristics. Here, we employed targeted proteomic profiling of 80 glycoprotein biomarker candidates across plasma samples of a well-annotated patient cohort with comprehensive CRC characteristics. Clinical data included 8-year overall survival, tumor staging, histological grading, regional localization, and molecular tumor characteristics. The acquired quantitative proteomic dataset was subjected to the development of biomarker signatures predicting prognostic clinical endpoints. Protein candidates were selected into the signatures based on significance testing and a stepwise protein selection, each within 10-fold cross-validation. A six-protein biomarker signature of patient outcome could predict survival beyond clinical stage and was able to stratify patients into groups of better and worse prognosis. We further evaluated the performance of the signature on the mRNA level and assessed its prognostic value in the context of previously published transcriptional signatures. Additional signatures predicting regional tumor localization and disease dissemination were also identified. The integration of rich clinical data, quantitative proteomic technologies, and tailored computational modeling facilitated the characterization of these signatures in patient circulation. These findings highlight the value of a simultaneous assessment of important prognostic disease characteristics within a single measurement.

journal_name

EMBO Mol Med

journal_title

EMBO molecular medicine

authors

Surinova S,Radová L,Choi M,Srovnal J,Brenner H,Vitek O,Hajdúch M,Aebersold R

doi

10.15252/emmm.201404874

subject

Has Abstract

pub_date

2015-09-01 00:00:00

pages

1153-65

issue

9

eissn

1757-4676

issn

1757-4684

pii

emmm.201404874

journal_volume

7

pub_type

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