LAUSR.org creates dashboard-style pages of related content for over 1.5 million academic articles. Sign Up to like articles & get recommendations!

Multiplex screening of 275 plasma protein biomarkers to identify a signature for early detection of colorectal cancer

Photo from wikipedia

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… Click to show full 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 least absolute shrinkage and selection operator 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‐stage 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% confidence interval (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.

Keywords: protein; early detection; detection colorectal; crc; protein biomarkers

Journal Title: Molecular Oncology
Year Published: 2019

Link to full text (if available)


Share on Social Media:                               Sign Up to like & get
recommendations!

Related content

More Information              News              Social Media              Video              Recommended



                Click one of the above tabs to view related content.