- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT02364154
Colorectal Cancer Detected by 1H-NMR Spectroscopy (BIOCOR)
Metabolic Phenotyping of Blood Plasma by Means of 1H-NMR Spectroscopy: a New Tool to Detect Colorectal Cancer?
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
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.
Study Type
Enrollment (Actual)
Contacts and Locations
Study Locations
-
-
-
Genk, Belgium, 3600
- Ziekenhuis Oost-Limburg
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- The subject has undergone a colonoscopy or is scheduled to undergo a colonoscopy in the future
- The subject is aged between 40 and 90 years
- The subject understands the study-specific procedures and provides written informed consent before any study-specific procedures are performed
Exclusion Criteria:
- No fasting starting from 10 p.m. the day prior to blood sampling
- Medication intake on the morning of blood sampling
- Diabetes
- History of cancer during the past 5 years
- Treatment for cancer during the past 5 years
- Inflammatory bowel disease
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
---|---|
Control group-Blood sampling
-subjects with a normal colonoscopy
|
Determine the metabolic phenotype of blood plasma by NMR spectroscopy
Other Names:
determine amount and type of free circulating miRNA in blood plasma
Other Names:
|
Study group-Blood sampling
- subjects with colorectal cancer after colonoscopy
|
Determine the metabolic phenotype of blood plasma by NMR spectroscopy
Other Names:
determine amount and type of free circulating miRNA in blood plasma
Other Names:
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
metabolic phenotype of colorectal cancer
Time Frame: day 1
|
Significant metabolic changes in blood plasma of colorectal cancer patients compared with control subjects
|
day 1
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
tumor histology
Time Frame: day 1
|
subtype of histology of the colorectal tumor (according to WHO histological classification of tumors of the colon and rectum)
|
day 1
|
tumor stage
Time Frame: Day 1
|
stage of the colorectal tumor, defined by the TNM classification system (7th edition)
|
Day 1
|
Collaborators and Investigators
Sponsor
Collaborators
Investigators
- Study Chair: peter Adriaensens, prof. dr., Hasselt University
- Principal Investigator: Michiel thomeer, prof. dr., Ziekenhuis Oost-Limburg, Hasselt University
- Study Chair: Liesbet Mesotten, prof. dr., Ziekenhuis Oost-Limburg, Hasselt University
- Study Chair: Philip Caenepeel, prof. dr., Ziekenhuis Oost-Limburg, Hasselt University
- Study Chair: Kirsten Stinkens, dr., Hasselt University
- Study Chair: Evelyne Louis, PhD student, Hasselt University
- Study Chair: Robby Louis, student, Hasselt University
Publications and helpful links
General Publications
- 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.
- 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.
- 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.
- 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.
- 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.
- 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
Study record dates
Study Major Dates
Study Start
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Estimate)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 14/070U
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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