Skip to content

Microbiome Test for the Detection of Colorectal Polyps

Microbiome Test for the Detection of Colorectal Polyps

Status
UNKNOWN
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT05060757
Enrollment
600
Registered
2021-09-29
Start date
2021-07-27
Completion date
2022-12-31
Last updated
2021-09-29

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Colon Polyp

Keywords

Colonoscopy, microbiome, colon polyp

Brief summary

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.

Detailed description

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.

Interventions

DIAGNOSTIC_TESTbiotax

patients who are scheduled to undergo colonoscopy will be asked to participate and give a stool sample

Sponsors

Biotax Labs LTD
Lead SponsorINDUSTRY

Study design

Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
DIAGNOSTIC
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
45 Years to 70 Years
Healthy volunteers
No

Inclusion criteria

1. Males or females. 2. Age: 45-70 years, inclusive. 3. Patients without any incapacitating systemic disease 4. Able to comprehend and provide informed consent. 5. Patients who are scheduled / planned to undergo a colonoscopy, preferably: participants who are undergoing a colonoscopy as a diagnostic surveillance.

Exclusion criteria

1. Subject has a history of colorectal cancer (CRC) 2. 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) 3. Subject has a diagnosis or personal history of inflammatory bowel disease (IBD), including chronic ulcerative colitis or Crohn's disease. 4. Patients with incapacitating systemic disease 5. Any use of antibiotics within one months prior to colonoscopy.

Design outcomes

Primary

MeasureTime frameDescription
diagnose existence of colon polypsyearTo determine whether fecal metagenomics microbial signatures can significantly predict adenoma\\ sessile serrated polyps (SSP) existence in patients and serve as diagnostic biomarkers.

Secondary

MeasureTime frameDescription
diagnose sub types of colon polypsyearTo 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.
Saliva microbiome vs stool microbiomeyearTo determine if Saliva microbiome sample can provide indication same as Stool microbiome sample.

Countries

Israel

Contacts

Primary ContactShay Hilel
shay@biotax.co+972-54-4386721
Backup ContactNaama Geva-Zatorsky, Ph.D
naamagz@biotax.co+972-52-292-2300

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026