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| Name | Class |
|---|---|
| Ziekenhuis Oost-Limburg | OTHER |
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The hypothesis of the present study is that metabolic phenotyping of blood plasma allows to (i) discriminate between colorectal cancer patients and control subjects and (ii) identify new biomarkers for colorectal cancer. In order to test this hypothesis, the investigators will apply proton nuclear magnetic resonance (1H-NMR) spectroscopy to perform metabolic phenotyping of blood plasma in 50 colorectal cancer patients and 50 control subjects. Multivariate statistics will be performed to assess the discriminative power of the applied methodology in distinguishing between both groups and to identify metabolites with potential as biomarkers for colorectal cancer.
Colorectal cancer is one of the most common and deadliest cancers worldwide. Since tumor stage at time of diagnosis is a critical determinant of patient outcome, early detection of colorectal cancer by screening modalities holds the key to improving patient survival. However, current tests, i.e. fecal occult blood testing and colonoscopy, are inadequate for first line screening of colorectal cancer due to limited accuracy and low participation rates, respectively. Therefore, there is an urgent need for new and accurate tests that can be used for en masse screening of colorectal cancer. A blood-based test represents a promising alternative as it takes little time, poses minimal risk to the patient, and is therefore very likely to lead to high participation rates. The development of an effective blood-based screening tool is based on the identification of biomarkers in the blood that are sensitive and specific for colorectal cancer. Studying the metabolic phenotype of colorectal cancer may help to identify such biomarkers since the metabolism of cancer cells is known to differ significantly from that of normal cells. More specifically, the entire metabolism of cancer cells is reprogrammed to increase anabolic reactions that favor cell growth and cell survival.
The hypothesis of the present study is that metabolic phenotyping of blood plasma allows to (i) discriminate between colorectal cancer patients and control subjects and (ii) identify new biomarkers for colorectal cancer. In order to test this hypothesis, The investigators will apply proton nuclear magnetic resonance (1H-NMR) spectroscopy to perform metabolic phenotyping of blood plasma in 50 colorectal cancer patients and 50 control subjects. Multivariate statistics will be performed to assess the discriminative power of the applied methodology in distinguishing between both groups and to identify metabolites with potential as biomarkers for colorectal cancer.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Control group-Blood sampling | -subjects with a normal colonoscopy |
| |
| Study group-Blood sampling | - subjects with colorectal cancer after colonoscopy |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Control group-Blood sampling | Other | Determine the metabolic phenotype of blood plasma by NMR spectroscopy |
|
| Measure | Description | Time Frame |
|---|---|---|
| metabolic phenotype of colorectal cancer | Significant metabolic changes in blood plasma of colorectal cancer patients compared with control subjects | day 1 |
| Measure | Description | Time Frame |
|---|---|---|
| tumor histology | subtype of histology of the colorectal tumor (according to WHO histological classification of tumors of the colon and rectum) | day 1 |
| tumor stage | stage of the colorectal tumor, defined by the TNM classification system (7th edition) |
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Inclusion Criteria:
Exclusion Criteria:
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Colorectal cancer patients and control subjects who undergo a coloscopy without diabetes and/or a history of cancer during the past 5 years, of an age between 40 and 90 years and willing to provide written informed consent.
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| Name | Affiliation | Role |
|---|---|---|
| Michiel thomeer, prof. dr. | Ziekenhuis Oost-Limburg, Hasselt University | Principal Investigator |
| Liesbet Mesotten, prof. dr. | Ziekenhuis Oost-Limburg, Hasselt University | Study Chair |
| Philip Caenepeel, prof. dr. | Ziekenhuis Oost-Limburg, Hasselt University | Study Chair |
| Peter Adriaensens, prof. dr. | Hasselt University | Study Chair |
| Kirsten Stinkens, dr. | Hasselt University | Study Chair |
| Evelyne Louis, PhD student | Hasselt University | Study Chair |
| Robby Louis, student | Hasselt University | Study Chair |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Ziekenhuis Oost-Limburg | Genk | 3600 | Belgium |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 24333717 | Background | Zhang A, Sun H, Yan G, Wang P, Han Y, Wang X. Metabolomics in diagnosis and biomarker discovery of colorectal cancer. Cancer Lett. 2014 Apr 1;345(1):17-20. doi: 10.1016/j.canlet.2013.11.011. Epub 2013 Dec 11. | |
| 24138801 | Background | Wang H, Wang L, Zhang H, Deng P, Chen J, Zhou B, Hu J, Zou J, Lu W, Xiang P, Wu T, Shao X, Li Y, Zhou Z, Zhao YL. (1)H NMR-based metabolic profiling of human rectal cancer tissue. Mol Cancer. 2013 Oct 18;12(1):121. doi: 10.1186/1476-4598-12-121. |
| Label | URL |
|---|---|
| Metabolic Phenotyping of Blood Plasma by Proton Nuclear Magnetic Resonance to Discriminate between Colorectal Cancer, Breast Cancer and Lung Cancer | View source |
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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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| ID | Term |
|---|---|
| D001800 | Blood Specimen Collection |
| ID | Term |
|---|---|
| D013048 | Specimen Handling |
| D019411 | Clinical Laboratory Techniques |
| D019937 | Diagnostic Techniques and Procedures |
| D003933 | Diagnosis |
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|
| Blood sampling | Other | determine amount and type of free circulating miRNA in blood plasma |
|
|
| Day 1 |
| 24744575 | Background | Zavoral M, Suchanek S, Majek O, Fric P, Minarikova P, Minarik M, Seifert B, Dusek L. Colorectal cancer screening: 20 years of development and recent progress. World J Gastroenterol. 2014 Apr 14;20(14):3825-34. doi: 10.3748/wjg.v20.i14.3825. |
| 24734154 | Background | Ganepola GA, Nizin J, Rutledge JR, Chang DH. Use of blood-based biomarkers for early diagnosis and surveillance of colorectal cancer. World J Gastrointest Oncol. 2014 Apr 15;6(4):83-97. doi: 10.4251/wjgo.v6.i4.83. |
| 18007604 | Background | Beckonert O, Keun HC, Ebbels TM, Bundy J, Holmes E, Lindon JC, Nicholson JK. Metabolic profiling, metabolomic and metabonomic procedures for NMR spectroscopy of urine, plasma, serum and tissue extracts. Nat Protoc. 2007;2(11):2692-703. doi: 10.1038/nprot.2007.376. |
| Result | Louis R, Louis E, Stinkens K, Mesotten L, de Jonge E, et al. (2016) Metabolic Phenotyping of Blood Plasma by Proton Nuclear Magnetic Resonance to Discriminate between Colorectal Cancer, Breast Cancer and Lung Cancer. Metabolomics (Los Angel) 6: 187. doi: 10.4172/2153-0769.1000187 |
| D009369 | Neoplasms |
| D004066 | Digestive System Diseases |
| D005767 | Gastrointestinal Diseases |
| D003108 | Colonic Diseases |
| D007410 | Intestinal Diseases |
| D012002 | Rectal Diseases |
| D011677 | Punctures |
| D013514 | Surgical Procedures, Operative |
| D008919 | Investigative Techniques |