Reliable Noninvasive Biomarkers for Early Detection of Colorectal Cancer
The invention offers a mixed protein and autoantibody set that can be used as a diagnostic tool for diagnosis, stratification and therapy monitoring of colorectal cancer patients.
Sigmoidoscopy and colonoscopy, the current gold standards for detection of CRC in the distal and total colorectum, respectively, are limited by several disadvantages, such as high costs, limited resources and poor compliance. So other cost-effective and sensitive methods for the early detection of colorectal cancer are urgently needed and very important from the health economic standpoint. Using blood samples the invention offers a protein and autoantibody set that can be used as a diagnostic tool for diagnosis and stratification and/or monitoring of a therapy of colorectal cancer.
Using biological (blood) samples from a screening colonoscopy a core panel of 4 proteins and an autoantibody (AREG, GDF-15, FasL, and Flt3L +anti-TP53) had the sensitivities for detecting early stage CRC and advance adenomas of 66.7% and 31.7% at a specificity of 80%, and the AUC of 0.82 (95% CI: 0.74-0.90) for detecting all-stage CRC. At 90% Specificity the panel had sensitivities of 56% for CRC and 22% for adenomas.
Sigmoidoscopy and colonoscopy, the current gold standards for detection of CRC in the distal and total colorectum, respectively, are limited by several disadvantages, such as high costs, limited resources and poor compliance.
- Protein and autoantibody marker panel for diagnosis and stratification of colorectal cancer
- Five marker panel with high sensitivity for detecting early, all-stage stage CRC and advance adenomas.
DKFZ is looking for a commercial partner for further development of the marker panel alone or in combination with other markers towards clinical application.
Publikationen & Verweise
"Development and validation of a panel of five proteins as blood biomarkers for early detection of colorectal cancer” by H. Chen, J. Qian, Simone Werner, K. Cuk, P. Knebel, and H. Brenner published in Clin Epidemiol. 2017; 9: 517–526.
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