- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04682665
Prebiotic Effect of Eicosapentaenoic Acid Treatment for Colorectal Cancer Liver Metastases
Biospecimen Collection for:Prebiotic Effect of Eicosapentaenoic Acid Treatment for Colorectal Cancer Liver Metastases
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Despite advance in the diagnosis and treatment of colorectal cancer (CRC), it remains the second most common cause of cancer-related death in the US and the UK. The majority of deaths from CRC are related to distant metastases, predominantly to the liver.
There are observational and laboratory data supporting the notion that the omega-3 polyunsaturated fatty acid eicosapentaenoic acid (EPA) has anti-CRC activity. These include a phase 2 'window of opportunity' randomised, placebo-controlled trial of EPA provided before surgery for resection of CRC liver metastasis (called the EMT study). A signal that EPA improved progression-free and overall survival after liver surgery provided the rationale for the EMT2 trial, which is a randomised, double-blind placebo-controlled phase 3 trial of the effect of EPA (started before surgery but continued post-operatively) on CRC recurrence and survival after surgery for resectable liver metastases [ClinicalTrials.gov NCT03428477 and EudraCT Number: 2016-000628-24].
The mechanism(s) by which EPA might influence post-operative survival are not well understood. Recent data support the idea that the anti-CRC benefit of EPA may be mediated by modulating the intestinal microbiota and ameliorating tumour-permissive immunosuppressive mechanisms, including inhibition of the activity of regulatory T cells (Tregs) and myeloid-derived suppressor cells (MDSCs), as well as reduced synthesis of inflammatory mediators such as prostaglandin (PG) E2 and chemokine (C-C motif) ligand 2 (CCL2). Mice fed with a high-EPA-containing diet demonstrate 1) increased abundance of gut bacteria, such as Bifidobacterium and Lactobacillus genera that support the host anti-tumour immune response and improve the efficacy of cancer immunotherapy, and 2) decreased abundance of lipopolysaccharide (LPS)-producing bacteria that trigger chronic inflammation and can promote CRC. These data support a hypothesis that a prebiotic effect of EPA abrogates intra-tumoural immunosuppression and ameliorates systemic inflammation to improve survival of CRCLM patients.
EMT2 trial participants are ideally placed to provide biospecimens that can be analysed in order to understand the mechanism(s) of action of EPA given that the laboratory data can eventually be linked to the clinical outcomes from the trial. Biospecimens can be obtained without interference with the EMT2 trial protocol. Stool, urine, and blood samples will be obtained 1) after EMT2 trial randomization, before starting EPA or placebo, 2) just before surgery, and 3) at 6-monthly intervals thereafter, plus liver metastases tumour tissue during surgery. Using these biospecimens, the microbiome and immune pathways altered by EPA will be investigated in relation to participant survival. Mechanistic insights about the anti-CRC activity of EPA from the biospecimen collection project will maximize the knowledge and insights gained from the EMT2 trial and its participants, thereby leading to personalized use of EPA, which will be targeted at those most likely to benefit.
Study Type
Enrollment (Actual)
Contacts and Locations
Study Locations
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Leeds, United Kingdom
- St James's University Hospital
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Liverpool, United Kingdom
- University of Liverpool
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Only individuals who have already been enrolled in the EMT2 trial are eligible for inclusion in the biospecimen collection study.
Exclusion Criteria:
- There are NO exclusions for entry to the biospecimen collection study if an individual has already been recruited to the EMT2 trial.
Study Plan
How is the study designed?
Design Details
- Observational Models: Cohort
- Time Perspectives: Prospective
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
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Experimental
Patients randomized to the experimental arm of the EMT2 trial, receiving Icosapent Ethyl (EPA-EE) according to the EMT2 protocol.
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Soft gelatin capsules containing 1g pure EPA-EE.
Administered as 4g per day to be taken as 2 capsules in the morning and 2 capsules in the evening.
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Placebo comparator
Patients randomized to the placebo comparator arm of the EMT2 trial, receiving placebo capsules according to the EMT2 protocol.
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Soft gelatin capsules containing light mineral oil. 4 capsules to be taken per day (2 in the morning and 2 in the evening).
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Abundance of individual bacterial taxa in the gut microbiome (eg. Bifidobacterium, Lactobacillus, and Fusobacterium) in stool samples.
Time Frame: A) Change between baseline (pre-treatment) and before liver surgery. B) Change between baseline (pre-treatment) and 6 months after liver surgery. C) Change between baseline (pre-treatment) and time points up to two years follow up.
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16S rRNA and metagenomic methods
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A) Change between baseline (pre-treatment) and before liver surgery. B) Change between baseline (pre-treatment) and 6 months after liver surgery. C) Change between baseline (pre-treatment) and time points up to two years follow up.
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Microbial gene expression in stool samples
Time Frame: A) Change between baseline (pre-treatment) and before liver surgery. B) Change between baseline (pre-treatment) and 6 months after liver surgery. C) Change between baseline (pre-treatment) and time points up to two years follow up.
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Bacterial gene expression analysis
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A) Change between baseline (pre-treatment) and before liver surgery. B) Change between baseline (pre-treatment) and 6 months after liver surgery. C) Change between baseline (pre-treatment) and time points up to two years follow up.
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Levels of polyunsaturated fatty acids and lipid mediators in stool samples
Time Frame: A) Change between baseline (pre-treatment) and before liver surgery. B) Change between baseline (pre-treatment) and 6 months after liver surgery. C) Change between baseline (pre-treatment) and time points up to two years follow up.
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Liquid chromatography-mass spectrometric measurement of lipids
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A) Change between baseline (pre-treatment) and before liver surgery. B) Change between baseline (pre-treatment) and 6 months after liver surgery. C) Change between baseline (pre-treatment) and time points up to two years follow up.
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Relationship between changes in the gut microbiome induced by EPA and survival of patients
Time Frame: A) Change between baseline (pre-treatment) and before liver surgery. B) Change between baseline (pre-treatment) and 6 months after liver surgery. C) Change between baseline (pre-treatment) and time points up to two years follow up.
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16S rRNA and metagenomic methods
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A) Change between baseline (pre-treatment) and before liver surgery. B) Change between baseline (pre-treatment) and 6 months after liver surgery. C) Change between baseline (pre-treatment) and time points up to two years follow up.
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Treg cells and myeloid-derived suppressor cells in colorectal cancer liver metastasis tissue
Time Frame: A) Change between baseline (pre-treatment) and before liver surgery. B) Change between baseline (pre-treatment) and 6 months after liver surgery. C) Change between baseline (pre-treatment) and time points up to two years follow up.
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Immunohistochemistry and flow cytometry for immune cell populations
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A) Change between baseline (pre-treatment) and before liver surgery. B) Change between baseline (pre-treatment) and 6 months after liver surgery. C) Change between baseline (pre-treatment) and time points up to two years follow up.
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Levels of expression of immune checkpoint regulators in colorectal cancer liver metastasis tissue
Time Frame: A) Change between baseline (pre-treatment) and before liver surgery. B) Change between baseline (pre-treatment) and 6 months after liver surgery. C) Change between baseline (pre-treatment) and time points up to two years follow up.
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Immunohistochemistry for CTLA-4, TIGIT, TIM-3, PD-1 in colorectal cancer liver metastasis tissue
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A) Change between baseline (pre-treatment) and before liver surgery. B) Change between baseline (pre-treatment) and 6 months after liver surgery. C) Change between baseline (pre-treatment) and time points up to two years follow up.
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Blood levels of chemokines and lipid mediators
Time Frame: A) Change between baseline (pre-treatment) and before liver surgery. B) Change between baseline (pre-treatment) and 6 months after liver surgery. C) Change between baseline (pre-treatment) and time points up to two years follow up.
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Immunoassay and mass spectrometry of chemokines (plasma CCL2) and lipid metabolites (urinary PGE-M)
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A) Change between baseline (pre-treatment) and before liver surgery. B) Change between baseline (pre-treatment) and 6 months after liver surgery. C) Change between baseline (pre-treatment) and time points up to two years follow up.
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Effect of human faecal samples from patients treated with EPA or placebo on tumour burden in gnotobiotic mice with colorectal cancer liver metastasis
Time Frame: A) Change between baseline (pre-treatment) and before liver surgery. B) Change between baseline (pre-treatment) and 6 months after liver surgery. C) Change between baseline (pre-treatment) and time points up to two years follow up.
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Liver tumour size
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A) Change between baseline (pre-treatment) and before liver surgery. B) Change between baseline (pre-treatment) and 6 months after liver surgery. C) Change between baseline (pre-treatment) and time points up to two years follow up.
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Effect of human faecal samples from patients treated with EPA or placebo on anti-tumour immune response in gnotobiotic mice with colorectal cancer liver metastasis
Time Frame: A) Change between baseline (pre-treatment) and before liver surgery. B) Change between baseline (pre-treatment) and 6 months after liver surgery. C) Change between baseline (pre-treatment) and time points up to two years follow up.
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Flow cytometry and immunohistochemistry for immune cell populations and cytokine/chemokine levels
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A) Change between baseline (pre-treatment) and before liver surgery. B) Change between baseline (pre-treatment) and 6 months after liver surgery. C) Change between baseline (pre-treatment) and time points up to two years follow up.
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Collaborators and Investigators
Sponsor
Collaborators
Investigators
- Principal Investigator: Mark Hull, University of Leeds
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
- Pathologic Processes
- Neoplasms by Site
- Neoplasms
- Intestinal Diseases
- Gastrointestinal Neoplasms
- Digestive System Neoplasms
- Digestive System Diseases
- Gastrointestinal Diseases
- Colorectal Neoplasms
- Intestinal Neoplasms
- Liver Diseases
- Colonic Diseases
- Neoplastic Processes
- Colonic Neoplasms
- Neoplasm Metastasis
- Liver Neoplasms
- Platelet Aggregation Inhibitors
- Lipid Regulating Agents
- Eicosapentaenoic acid ethyl ester
Other Study ID Numbers
- 20/YH/0306
- 1R01CA243454-01A1 (U.S. NIH Grant/Contract)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
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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