Journal Article

DKFZ-2019-02505

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Multiplex screening of 275 plasma protein biomarkers to identify a signature for early detection of colorectal cancer.

Bhardwaj, M. (First author)DKFZ* ; Weigl, K.DKFZ* ; Tikk, K.DKFZ* ; Benner, A.DKFZ* ; Schrotz-King, P.DKFZ* ; Brenner, H. (Last author)DKFZ*

2020
John Wiley & Sons, Inc. Hoboken, NJ

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Please use a persistent id in citations: doi:10.1002/1878-0261.12591

Abstract: Blood-based protein biomarkers may be an attractive option for early detection of colorectal cancer (CRC). Here, we used a two-stage design to measure 275 protein markers by proximity extension assay (PEA), first in plasma samples of a discovery set consisting of 98 newly diagnosed CRC cases and 100 age and gender matched controls free of neoplasm at screening colonoscopy. An algorithm predicting the presence of early or late stage CRC was derived by Lasso regression with .632+ bootstrap method and the algorithms were then validated using PEA again in an independent validation set consisting of participants of screening colonoscopy with and without CRC (n= 56 and 102, respectively). Three different signatures for all, early, and late stages CRC consisting of 9, 12, and 11 protein markers were obtained in the discovery set with areas under the curves (AUCs) after .632+ bootstrap adjustment of 0.92, 0.91 and 0.96, respectively. External validation among participants of screening colonoscopy yielded AUCs of 0.76 (95%CI, 0.67-0.84), 0.75 (95%CI, 0.62-0.87) and 0.80 (95%CI, 0.68-0.89) for all, early, and late stage CRC, respectively. Although the identified protein markers are not competitive with the best available stool tests, these proteins may contribute to the development of powerful blood-based tests for CRC early detection in the future.

Note: 2020 Jan;14(1):8-21#EA:C120#LA:C070#

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Contributing Institute(s):

1. Präventive Onkologie (C120)
2. C070 Klinische Epidemiologie und Alternf. (C070)
3. DKTK HD zentral (HD01)
4. C060 Biostatistik (C060)

Research Program(s):

1. 313 - Cancer risk factors and prevention (POF3-313) (POF3-313)

Appears in the scientific report 2020

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Database coverage:
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