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| ID | Type | Description | Link |
|---|---|---|---|
| 514 | Other Identifier | U of A HREB |
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This is a prospective, multi-centered study to assess whether urine metabolomics can play a role in the screening of colorectal cancer (CRC). Urine samples will be collected from 1000 patients going through an established CRC screening program, and from a further 500 patients who already have a diagnosis of CRC. Using nuclear magnetic resonance (NMR) spectroscopy, the 1H NMR spectrum of urine samples will be analyzed for specific metabolites, and establish the metabolomic signature of colorectal cancer. The results from metabolomic urinalysis of this screening cohort will be compared with results from colonoscopy, histological descriptions, fecal occult blood testing (FOBT), and fecal immune testing (FIT) to assess the accuracy of urine metabolomics in identifying patients with polyps and malignancies. The urine metabolomic results from the colorectal cancer group will be correlated with operative, histological and clinical staging to define the role of urine metabolomics in assessing colorectal cancer type, location and stage. Additionally approximately 300 urine samples from breast cancer patients and 300 from prostate cancer patients will be collected to validate that the colorectal cancer signature is unique.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Normal colonoscopy | |||
| Colonic polyps | |||
| Colorectal cancer patients | |||
| Breast & Prostate Cancer patients |
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Inclusion Criteria:
For Screening group (normal colonoscopy & colonic polyps):
For Cancer group:
Exclusion Criteria:
For screening group:
For Cancer group:
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Subjects undergoing colorectal cancer screening Patients with diagnosis of colorectal cancer
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| Name | Affiliation | Role |
|---|---|---|
| Haili Wang, MD FRCS(C) | University of Alberta | Study Director |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| University of Alberta | Edmonton | Alberta | Canada |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 24307992 | Derived | Eisner R, Greiner R, Tso V, Wang H, Fedorak RN. A machine-learned predictor of colonic polyps based on urinary metabolomics. Biomed Res Int. 2013;2013:303982. doi: 10.1155/2013/303982. Epub 2013 Nov 7. |
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| ID | Term |
|---|---|
| D015179 | Colorectal Neoplasms |
| ID | Term |
|---|---|
| D007414 | Intestinal Neoplasms |
| D005770 | Gastrointestinal Neoplasms |
| D004067 | Digestive System Neoplasms |
| D009371 | Neoplasms by Site |
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Urine sample
| D009369 | Neoplasms |
| D004066 | Digestive System Diseases |
| D005767 | Gastrointestinal Diseases |
| D003108 | Colonic Diseases |
| D007410 | Intestinal Diseases |
| D012002 | Rectal Diseases |