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Updated: Apr 25, 2026

Detection of a Circulating MicroRNA Custom Panel in Patients with Metastatic Colorectal Cancer
Published on: March 14, 2019
Colorectal cancer detection using targeted serum metabolic profiling
Jiangjiang Zhu1, Danijel Djukovic, Lingli Deng
1Northwest Metabolomics Research Center, Department of Anesthesiology and Pain Medicine, University of Washington , 850 Republican Street, Seattle, Washington 98109, United States.
This study introduces a novel metabolic profiling method using serum samples to detect colorectal cancer (CRC). The approach shows high accuracy in distinguishing CRC patients from healthy individuals and those with polyps, offering a promising tool for early cancer detection.
Area of Science:
- Biochemistry
- Oncology
- Analytical Chemistry
Background:
- Colorectal cancer (CRC) remains a leading cause of cancer-related mortality globally.
- Despite advances in understanding CRC molecular biology, effective biomarkers for early detection and monitoring are still needed.
- Current diagnostic methods for CRC can be invasive or lack sufficient sensitivity and specificity.
Purpose of the Study:
- To develop and validate a targeted metabolic profiling approach for sensitive and specific detection of colorectal cancer (CRC) using human serum.
- To identify potential metabolic biomarkers indicative of CRC presence.
- To assess the diagnostic performance of the developed method in differentiating CRC patients from healthy controls and patients with polyps.
Main Methods:
- Utilized targeted liquid chromatography-tandem mass spectrometry (LC-MS/MS) for metabolic profiling.
- Analyzed 158 metabolites across 25 metabolic pathways in serum samples from 234 individuals (66 CRC patients, 76 polyp patients, 92 healthy controls).
- Applied Partial Least-Squares-Discriminant Analysis (PLS-DA) and Receiver Operating Characteristic (ROC) curve analysis for model development and performance evaluation.
Main Results:
- PLS-DA models effectively distinguished CRC patients from healthy controls (AUC=0.93) and polyp patients (AUC=0.95).
- High diagnostic performance was observed with sensitivities of 0.96 (vs. controls) and 0.89 (vs. polyps), and specificities of 0.80 (vs. controls) and 0.88 (vs. polyps).
- Monte Carlo cross-validation confirmed the robustness and diagnostic power of the metabolic profiling approach.
Conclusions:
- Targeted metabolic profiling of human serum is a powerful and non-invasive strategy for colorectal cancer detection.
- The identified metabolic signatures demonstrate significant potential as biomarkers for early CRC screening and diagnosis.
- This approach offers a promising advancement in the field of liquid biopsy for oncological diagnostics.
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