The Use of Blood-Based Biomarkers in the Prediction of Colorectal Neoplasia at the Time of Primary Screening Colonoscopy Among Average-Risk Patients: A Systematic Literature Review
- R Liam Sutherland 1,2, Dylan E O'Sullivan 2,3, Yibing Ruan 2,3,4, Kristian Chow 2, Brittany Mah 2, Dayoung Kim 2, Robert B Basmadjian 1,4, Nauzer Forbes 1,2,5, Winson Y Cheung 1,4, Robert J Hilsden 1,2,5, Darren R Brenner 1,2,4
- R Liam Sutherland 1,2, Dylan E O'Sullivan 2,3, Yibing Ruan 2,3,4
- 1Department of Community Health Sciences, University of Calgary, Calgary, AB T2N 1N4, Canada.
- 2Forzani and MacPhail Colorectal Cancer Screening Centre, Alberta Health Services, Calgary, AB T2N 1N4, Canada.
- 3Cancer Epidemiology and Prevention Research, Alberta Health Services, Calgary, AB T2N 1N4, Canada.
- 4Department of Oncology, University of Calgary, Calgary, AB T2N 1N4, Canada.
- 5Department of Medicine, University of Calgary, Calgary, AB T2N 1N4, Canada.
- 0Department of Community Health Sciences, University of Calgary, Calgary, AB T2N 1N4, Canada.
Related Experiment Videos
Contact us if these videos are not relevant.
Contact us if these videos are not relevant.
View abstract on PubMed
Summary
This summary is machine-generated.Risk prediction models (RPMs) for colorectal cancer (CRC) screening are improving with blood-based biomarkers. A systematic review found models using complete blood counts and plasma metabolites show promise for early detection.
Area Of Science
- Oncology
- Biomarkers
- Epidemiology
Background
- Risk prediction models (RPMs) for colorectal cancer (CRC) can enhance screening strategies.
- Incorporating blood-based biomarkers into RPMs may improve their clinical utility for CRC detection.
- This review focuses on RPMs for CRC screening in average-risk populations undergoing colonoscopy.
Purpose Of The Study
- To systematically review studies on RPMs for CRC that evaluate blood-based biomarkers.
- To assess the impact of these biomarkers on predicting clinical outcomes during screening colonoscopy.
Main Methods
- Systematic literature search of MEDLINE, Web of Science, and PubMed databases (up to April 2024).
- Inclusion of studies developing or validating RPMs for CRC or its precursors in average-risk screening populations.
- Analysis of reported biomarker performance, including area under the curve (AUC) and specificity.
Main Results
- Sixteen studies (2015-2024) were included, focusing on CRC (16 studies) and high-risk adenomas (1 study).
- Complete blood count (CBC) achieved an AUC of 0.82 and specificity of 0.88.
- A plasma metabolite panel demonstrated the highest performance with an AUC of 0.99.
Conclusions
- The use of biomarkers in RPMs for CRC screening is a growing area of research.
- Many RPMs lack robust internal/external validation and clear implementation strategies.
- Further research is needed to evaluate and integrate improved biomarker-based RPMs into CRC screening frameworks.
Related Experiment Videos
Contact us if these videos are not relevant.
Contact us if these videos are not relevant.

