Colorectal Cancer Clinical Trial
— VOLGACOREOfficial title:
Volatile Marker Testing for Digestive Cancer and Precancerous Lesion Detection, Evaluation of Confounding Factors
Verified date | August 2018 |
Source | University of Latvia |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Observational |
The study is aimed to determine the potential of volatile marker testing for identification
of gastrointestinal cancers (in particular - colorectal and gastric cancers), the related
precancerous lesions in the stomach and colon.
The study will be addressing the role of confounding factors, including lifestyle factors,
diet, smoking as well as addressing the potential role of microbiota in the composition of
exhaled volatile markers.
Status | Completed |
Enrollment | 2022 |
Est. completion date | June 30, 2017 |
Est. primary completion date | June 30, 2017 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | 18 Years and older |
Eligibility |
Inclusion Criteria: - Patients with verifies colorectal cancer (Group 1) - Patients with verified gastric cancer (Group 5) - Patients undergoing colonoscopy due to clinical indications (group 2-4) - Patients undergoing upper endoscopy due to clinical indications (Group 6-8) - Average-risk population group aged 40-64 at inclusion without alarm symptoms (Group 9) - Motivation to participate in the study - Physical status allowing volatile marker sampling and other procedures within the protocol - Signed consent Exclusion Criteria: - Known other active cancer - Ventilation problems, airway obstruction - Unwillingness or inability to co-operate |
Country | Name | City | State |
---|---|---|---|
Latvia | University of Latvia | Riga | |
Lithuania | Lithuanian University of Health Sciences | Kaunas |
Lead Sponsor | Collaborator |
---|---|
University of Latvia | Academic Histology Laboratory (Latvia), Digestive Diseases Centre Gastro (Latvia), German Cancer Research Center, JLM Innovation GmbH (Germany), Karolinska Institutet, Lithuanian University of Health Sciences, Riga East University Hospital (Latvia), Technion, Israel Institute of Technology |
Latvia, Lithuania,
Amal H, Leja M, Broza YY, Tisch U, Funka K, Liepniece-Karele I, Skapars R, Xu ZQ, Liu H, Haick H. Geographical variation in the exhaled volatile organic compounds. J Breath Res. 2013 Dec;7(4):047102. doi: 10.1088/1752-7155/7/4/047102. Epub 2013 Nov 1. — View Citation
Haick H, Broza YY, Mochalski P, Ruzsanyi V, Amann A. Assessment, origin, and implementation of breath volatile cancer markers. Chem Soc Rev. 2014 Mar 7;43(5):1423-49. doi: 10.1039/c3cs60329f. Epub 2013 Dec 4. Review. — View Citation
Xu ZQ, Broza YY, Ionsecu R, Tisch U, Ding L, Liu H, Song Q, Pan YY, Xiong FX, Gu KS, Sun GP, Chen ZD, Leja M, Haick H. A nanomaterial-based breath test for distinguishing gastric cancer from benign gastric conditions. Br J Cancer. 2013 Mar 5;108(4):941-50. doi: 10.1038/bjc.2013.44. — View Citation
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Other | VOC pattern changes following intervention to microbiota | Significant change in VOC content before and following intervention upon microbiome (antibiotic intake, colon cleansing) | At baseline and following the intervention (1 week, 1 month) | |
Other | Gastric microbiome changes following intervention to microbiota | Significant change in gastric microbiome (phyla, genera) before and following intervention upon microbiome (antibiotic intake) | At baseline and 3 years after intervention | |
Other | Gastrointestinal microbiome in cancer patients | Significant differences in the composition of gastric and colonic microbiome (phyla, genera) in cancer patients, patients with precancerous lesions and controls | At the time of sampling | |
Primary | Performance of nanoarray sensor testing to detect target lesions | Sensitivity, specificity, overall accuracy of nanoarray sensor testing for VOCs to detect the target lesions in the blinded analysis | At the time of breath sampling | |
Primary | VOCs differentiating the study groups | List of VOCs assayed by GC-MS with statistical difference between the study groups | At the time of breath sampling | |
Secondary | Identification of characteristic VOC pattern in risk age groups | List of characteristic VOCs in general population at risk for developing gastrointestinal cancer, including analysis of confounding factors, e.g. dietary habits, smoking, and profession. | At the time of sampling | |
Secondary | VOC pattern changes following treatment | Significant change in VOC content before and following treatment (surgery, medical therapy, combined) | At baseline and every 6 months within 3 year period | |
Secondary | Groups of gastrointestinal microbiota correlating to VOCs | List of gastrointestinal microbiota groups (phylum/genus level) with positive correlation to particular VOCs | At the time of sampling |
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