Microbiome Test for the Detection of Colorectal Polyps
The main goal of this trial is to validate a new method for colorectal polyp screening based on stool microbiome signatures. 600 Individuals who are scheduled / planned to undergo a colonoscopy will be recruited for this study and a stool sample and an optional saliva sample will be collected.
Analyze process will be conducted on the microbiome of the samples given.
Studie Overzicht
Gedetailleerde beschrijving
Colorectal cancer (CRC) is the second cause of cancer death in the US. The pathogenesis of CRC is complex, involving a progressive transition of the healthy colonic mucosa to pre-cancerous polyps, and eventually to CRC. One of the factors that are proposed to cause this 'adenoma-carcinoma sequence' is the dysbiosis of the gut microbiome.
The gut microbiota has been identified as a potential screening biomarker for CRC, since studies have reported specific bacterial taxa and/ or microbial signatures as important factors in the etiology of CRC.
Hypothesis:
comprehensive and cutting-edge metagenomic analysis of the fecal microbiome of individuals with colonic polyps vs. patients without polyps will identify microbial signatures associated with colonic polyps and will define these microbial signatures as biomarkers and risk factors for CRC.
method:
- Collect data (anthropometric, demographic, dietary, lifestyle habits, medical and family history) and stool & optional Saliva sample for microbiome analysis from a cohort of 600 colonoscopies screened individuals.
- Analyze this data with an aim to utilize advanced artificial intelligence and machine-learning techniques to classified microbiome signatures, which are correlated to colonoscopy (and to histological) results.
- Blinded Validation - A sub-cohort of 300 individuals (who are part of the 600 individuals) that were not used to classify the biomarkers signatures will be used to validate the diagnosis model.
Data analysis:
The stool and optional Saliva samples will be sent to metagenomic sequencing, thereby generating FASTQ libraries of the reads found in the stool & saliva samples. These files will be analyzed by the BiotaX diagnostics platform.
No Human DNA analysis will take place at this clinical study. Only a microbial analysis will take place.
Studietype
Inschrijving (Verwacht)
Fase
- Niet toepasbaar
Contacten en locaties
Studiecontact
- Naam: Shay Hilel
- Telefoonnummer: +972-54-4386721
- E-mail: shay@biotax.co
Studie Contact Back-up
- Naam: Naama Geva-Zatorsky, Ph.D
- Telefoonnummer: +972-52-292-2300
- E-mail: naamagz@biotax.co
Studie Locaties
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Haifa, Israël
- Werving
- Rambam Medical Center
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Contact:
- Erez Hasnis, MD
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Tel Aviv, Israël
- Werving
- Assuta Medical Center
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Contact:
- Zohar Levi, MD
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Deelname Criteria
Geschiktheidscriteria
Leeftijden die in aanmerking komen voor studie
Accepteert gezonde vrijwilligers
Geslachten die in aanmerking komen voor studie
Beschrijving
Inclusion Criteria:
- Males or females.
- Age: 45-70 years, inclusive.
- Patients without any incapacitating systemic disease
- Able to comprehend and provide informed consent.
- Patients who are scheduled / planned to undergo a colonoscopy, preferably: participants who are undergoing a colonoscopy as a diagnostic surveillance.
Exclusion Criteria:
- Subject has a history of colorectal cancer (CRC)
Subject has a diagnosis or medical history of any of the following conditions:
- Familial adenomatous polyposis (also referred to as "FAP", including attenuated FAP and Gardner's syndrome)
- Hereditary non-polyposis CRC syndrome (also referred to as "HNPCC" or "Lynch Syndrome")
- Subject has a diagnosis or personal history of inflammatory bowel disease (IBD), including chronic ulcerative colitis or Crohn's disease.
- Patients with incapacitating systemic disease
- Any use of antibiotics within one months prior to colonoscopy.
Studie plan
Hoe is de studie opgezet?
Ontwerpdetails
- Primair doel: Diagnostisch
- Toewijzing: NVT
- Interventioneel model: Opdracht voor een enkele groep
- Masker: Geen (open label)
Wapens en interventies
Deelnemersgroep / Arm |
Interventie / Behandeling |
|---|---|
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Experimenteel: colonoscopy
Participants will be patients undergoing colonoscopy
|
patients who are scheduled to undergo colonoscopy will be asked to participate and give a stool sample
|
Wat meet het onderzoek?
Primaire uitkomstmaten
Uitkomstmaat |
Maatregel Beschrijving |
Tijdsspanne |
|---|---|---|
|
diagnose existence of colon polyps
Tijdsspanne: year
|
To determine whether fecal metagenomics microbial signatures can significantly predict adenoma\ sessile serrated polyps (SSP) existence in patients and serve as diagnostic biomarkers.
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year
|
Secundaire uitkomstmaten
Uitkomstmaat |
Maatregel Beschrijving |
Tijdsspanne |
|---|---|---|
|
diagnose sub types of colon polyps
Tijdsspanne: year
|
To determine whether fecal metagenomics microbial signatures can significantly identify between the following subgroups: non-polyp group, Hyperplastic polyps, adenomas - <5 mm, 6-10mm polyp group and >10mm polyp group.
|
year
|
|
Saliva microbiome vs stool microbiome
Tijdsspanne: year
|
To determine if Saliva microbiome sample can provide indication same as Stool microbiome sample.
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year
|
Medewerkers en onderzoekers
Sponsor
Onderzoekers
- Hoofdonderzoeker: Zohar Levi, MD, Assuta Medical Center
- Hoofdonderzoeker: Erez Hasnis, MD, Rambam Health Care Campus
Publicaties en nuttige links
Algemene publicaties
- Dadkhah E, Sikaroodi M, Korman L, Hardi R, Baybick J, Hanzel D, Kuehn G, Kuehn T, Gillevet PM. Gut microbiome identifies risk for colorectal polyps. BMJ Open Gastroenterol. 2019 May 27;6(1):e000297. doi: 10.1136/bmjgast-2019-000297. eCollection 2019.
- Garrett WS. The gut microbiota and colon cancer. Science. 2019 Jun 21;364(6446):1133-1135. doi: 10.1126/science.aaw2367. No abstract available.
- Thomas AM, Manghi P, Asnicar F, Pasolli E, Armanini F, Zolfo M, Beghini F, Manara S, Karcher N, Pozzi C, Gandini S, Serrano D, Tarallo S, Francavilla A, Gallo G, Trompetto M, Ferrero G, Mizutani S, Shiroma H, Shiba S, Shibata T, Yachida S, Yamada T, Wirbel J, Schrotz-King P, Ulrich CM, Brenner H, Arumugam M, Bork P, Zeller G, Cordero F, Dias-Neto E, Setubal JC, Tett A, Pardini B, Rescigno M, Waldron L, Naccarati A, Segata N. Author Correction: Metagenomic analysis of colorectal cancer datasets identifies cross-cohort microbial diagnostic signatures and a link with choline degradation. Nat Med. 2019 Dec;25(12):1948. doi: 10.1038/s41591-019-0663-4.
Nuttige links
Studie record data
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Studie start (Werkelijk)
Primaire voltooiing (Verwacht)
Studie voltooiing (Verwacht)
Studieregistratiedata
Eerst ingediend
Eerst ingediend dat voldeed aan de QC-criteria
Eerst geplaatst (Werkelijk)
Updates van studierecords
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Meer informatie
Termen gerelateerd aan deze studie
Trefwoorden
Aanvullende relevante MeSH-voorwaarden
Andere studie-ID-nummers
- Biotax_001
Plan Individuele Deelnemersgegevens (IPD)
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Informatie over medicijnen en apparaten, studiedocumenten
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