ClinicalTrials.gg
Status unknownNCT03843905METABIOTEUpdated Feb 18, 2019

Predictive Value of Innovative Prognostic Markers (Gut Microbiota, Sarcopenia, Metabolic Syndrome and Obesity) on Surgical and Oncologic Results in the Management of Sporadic Colorectal Adenocarcinoma.

An observational study in Colorectal Neoplasms, Microbiota and Prognosis, sponsored by University Hospital, Clermont-Ferrand. Status unknown at 1 site in France. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2019-02-18.

Sponsored by University Hospital, Clermont-Ferrand · Observational

The sponsor has not verified this record recently (last verified Feb 2019), so the status shown — last known as Recruiting — may be out of date.
Study type
Observational
Model
Cohort
Time perspective
Prospective
Enrollment
300
Ages
18 Years and older
Sex
All
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Study summary

Colorectal cancer (CRC), second leading cause of cancer worldwide, is associated with a poor prognosis, especially in patients with advanced disease. Therefore, there is still a need to develop new prognostic tools to replace or supplement those routinely used, with the aim to optimize treatment strategies.

Studies on gut microbiota composition provide new strategies to identify powerful biomarkers. Indeed, beyond its beneficial functions for the host, increasing evidences suggest that gut microbiota is a key factor involved in CRC carcinogenesis. Many clinical studies have described an imbalance in the gut microbiota (dysbiosis) in CRC patients, with the emergence of pathogenic bacterial species, Recent studies reported that pks-positive E. coli, a pathogenic bacterial producing toxin encoded by the pks genomic island, is more frequently detected in CRC patients, suggesting a possible role in tumor development. Therefore, this suggests the potential use of microbial signatures associated with CRC for prognostic assessment. Furthermore, influence of body composition profile (BMI, sarcopenia, metabolic syndrome) also appears to be a new relevant prognostic tool regarding surgical and oncological outcomes following CRC surgery.

The aim of this translational research project is to study the impact of these new prognostic tools on surgical and oncologic results in a prospective cohort of patients who underwent CRC surgery at the Digestive Surgery Department of the University Hospital of Clermont-Ferrand (France). This could allow to optimize treatment strategies and provide new ways to identify news promising biomarkers associations in order to better define high risk patients. Investigators aim to identify specific microbial signatures associated with some metabolic profiles in order to improve surgical morbidity and/or response to cancer therapies.

Read the detailed description

The METABIOTE study will be systematically proposed to patients selected for sporadic CRC surgery during the first preoperative outpatient visit. The attending surgeon will double-check all inclusion and exclusion criteria. An oral and written information will be given to patients, presenting the study.

Then, the following data will be collected propectively:

  • Socio-demographic and medical data (personal and familial medical history, current treatments, comorbidities, allergies, Body Mass Index (BMI), ASA score…)
  • Blood tests results, including nutritional, hepatic assessment and exploration of a lipidic abnormality.
  • Body composition profile: Metabolic syndrome screening, BMI, waist circumference, sarcopenia (skeletal muscle index calculation on CT scan).
  • Thoraco-abdomino-pelvic CT scan: sarcopenia, hepatic and splenic density, thanks to a dedicated software (Slice-O-Matic).

Following surgery will be collected :

  • Pathological data (TNM stage, MSI, RAS and BRAF status…)
  • Surgical results (30-day postoperative medical and surgical morbidity and 90-day postoperative mortality)
  • Oncologic results (Overall survival, Disease free survival…)
  • Metabolic profile evolution: sarcopenia (SMI), BMI and waist circumference after 3, 6, 12 and 36 months, postoperatively.

Intraoperatively, samples of peritumoral mucosa and tumor specimen and rectal stools will be frozen (-80°) and moved to the research unit for microbiota analysis. Interest bacteria will be grown on selective gelosis and pathogenic E coli will be identified using PCR as well as other specific bacteria involved in CRC. Moreover, global microbiota modifications will be observed using high-throughput sequencing of the bacterial 16S rRNA gene. These data will be associated with body composition profile, clinical data, surgical and oncologic results, and pathological data thanks to a multivariate analysis.

The patients will be monitored according to the Digestive Oncology french recommendations (TNCD).

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Conditions studied

  • Colorectal Neoplasms
  • Microbiota
  • Prognosis
  • Metabolic Syndrome
  • Sarcopenia

Keywords

  • Gut microbiota
  • Colorectal cancer
  • Sarcopenia
  • Metabolic syndrome
  • Prognostic factors
  • Pathogenic E.coli
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In context

Colorectal Neoplasms

5,738 studies on the registry are indexed under Colorectal Neoplasms; 1,481 are open to participants now.

This study's planned enrollment of 300 is above the median of 250 across 1,253 observational studies indexed under Colorectal Neoplasms.

Browse Colorectal Neoplasms studies →

Lead sponsor

University Hospital, Clermont-Ferrand is the lead sponsor of 854 studies on the registry; 180 are open to participants now.

Counted across the registry records on this site, refreshed daily.

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Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
No
Sampling method
Non-probability sample

Study population

Patients with Histologically proven colonic or high rectal adenocarcinoma

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • - Male or female, age > to 18 years.
  • Histologically proven colonic or high rectal adenocarcinoma
  • Absence of metastasis (CT scan) in exams performed preoperatively
  • No history of other tumors
  • Patients for whom the social and psychological status, the general condition are able to be monitored and/or compliant with the requirements of the study
  • Signed and dated informed consent document

Exclusion criteria

Exclusion Criteria:

  • - \< 18 years, patient in legal incapacity (person deprived of liberty or under guardianship).
  • Antibiotic administration within the 2 months before surgery
  • Long-term probiotic oral intake
  • Inflammatory bowel disease (Crohn's disease, ulcerative colitis)
  • Preoperative bowel preparation (oral or rectal) inclued antibiotic and/or antiseptic preparation.
  • Metastatic disease
  • Genetic CRC : familial adenomatous polyposis, hereditary non polyposis colorectal cancers (HNPCC).
  • Patient requiring preoperative radio-chemotherapy or chemotherapy alone
  • Medical history of cancer
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Study design

Observational model
Cohort
Time perspective
Prospective
Enrollment
300 participants (estimated)
Patient registry
No

Interventions

  • Otherno intervention

    The aim of this translational research project is to study the impact of these new prognostic tools on surgical and oncologic results in a prospective cohort of patients who underwent CRC surgery at the Digestive Surgery Department of the University Hospital of Clermont-Ferrand (France)

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What researchers measure

Primary outcomes

  1. Overall survival (OS)

    defined by the time between surgery and last follow-up. The 5 years overall survival will be recorded.

    Time frame: at 5 years

Secondary outcomes

  1. Overall survival related to CRC

    time between surgery and last follow-up. The1-3- and 5 years overall survivals will be recorded

    Time frame: at 1, 3 and 5 years

  2. Disease free survival (DFS)

    time between surgery and first identified recurrence. The1-3- and 5 years disease-free survivals will be recorded

    Time frame: at 1, 3 and 5 years

  3. post-operative morbidity

    incidence of postoperative complications (medical and surgical) according to the Clavien-Dindo classification occurring during the hospital stay and up-to 30-day after surgery will be recorded from the audit database

    Time frame: at 30 days

  4. length of hospital stay

    length of hospital stay includes length of stay in Intensive Care unit and Conventional Hospital Unit.

    Time frame: at 3 months

  5. postoperative mortality

    postoperative death until 90 days after surgery

    Time frame: at 90 days

  6. evolution of sarcopenia

    evolution of skeletal muscle index (SMI) identified from pretreatment and oncology follow-up computed tomography scans

    Time frame: at 3,6, 12 and 36 months

  7. evolution Body Mass Index (BMI)

    evolution Body Mass Index (BMI) defined during postoperative oncologic follow up clinical consultations (weight measurement)

    Time frame: at 3,6,12 and 36 months

  8. Microbiota composition

    composition of the microbiota according to the sampling site (stools, Peritumoral mucosa and tumor)

    Time frame: during surgery

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Study locations

1 of 1 sites recruiting
  • Chu Clermont-Ferrand
    Clermont-Ferrand, 63003, France
    Recruiting
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References and documents

Publications

  • Veziant J, Poirot K, Chevarin C, Cassagnes L, Sauvanet P, Chassaing B, Robin F, Godfraind C, Barnich N, Pezet D, Pereira B, Gagniere J, Bonnet M. Prognostic value of a combination of innovative factors (gut microbiota, sarcopenia, obesity, metabolic syndrome) to predict surgical/oncologic outcomes following surgery for sporadic colorectal cancer: a prospective cohort study protocol (METABIOTE). BMJ Open. 2020 Jan 7;10(1):e031472. doi: 10.1136/bmjopen-2019-031472. PubMed 31915159 ↗
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Timeline

Tracking since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reachedSimilar studies: half by the dot; the band is the middle halfHalf of similar studies reached it by the dot; the band is the middle half, from a quarter to three quarters

Ran from Nov 2018 to primary completion in Nov 2018, 0 months.

Of 461 non-industry observational studies under Colorectal Neoplasms, half reached primary completion within 57 months of starting (the median), counting those still running; a quarter within 28 and three quarters within 132. This study's 0 months is below that.

Counting every sponsor, half of 562 studies reached it within 53 months; a quarter within 28 and three quarters within 103.

How these figures are worked out, and which studies are left out of them.

Registered
Feb 1, 2019
First posted
Feb 18, 2019
StartActual
Nov 15, 2018
Primary completionActual
Nov 15, 2018
CompletionEst.
Nov 15, 2021
Last update
Feb 18, 2019
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on Feb 18, 2019, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
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Registry details

Key details

Study ID
NCT03843905
Collaborators
M2iSH laboratory, Benoit Chassaing
Responsible party
Sponsor
First posted
Feb 18, 2019
Start date
Nov 15, 2018
Primary completion
Nov 15, 2018
Completion
Nov 15, 2021 (estimated)
Last update
Feb 18, 2019

Study contacts

Lise LACLAUTRE
Contact
drci@chu-clermontferrand.fr
0473754963
Julie VEZIANT
principal investigator · University Hospital, Clermont-Ferrand

Oversight

FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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