Not provided
Not provided
| ID | Type | Description | Link |
|---|---|---|---|
| 2018-A00352-53 | Other Identifier | 2018-A00352-53 |
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Name | Class |
|---|---|
| M2iSH laboratory | OTHER |
| Benoit Chassaing | UNKNOWN |
Not provided
Not provided
Not provided
Not provided
Not provided
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.
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:
Following surgery will be collected :
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).
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| no intervention | Other | 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) |
| Measure | Description | Time Frame |
|---|---|---|
| Overall survival (OS) | defined by the time between surgery and last follow-up. The 5 years overall survival will be recorded. | at 5 years |
| Measure | Description | Time Frame |
|---|---|---|
| Overall survival related to CRC | time between surgery and last follow-up. The1-3- and 5 years overall survivals will be recorded | at 1, 3 and 5 years |
| Disease free survival (DFS) | time between surgery and first identified recurrence. The1-3- and 5 years disease-free survivals will be recorded |
Not provided
Inclusion Criteria:
Exclusion Criteria:
Not provided
Not provided
Not provided
Patients with Histologically proven colonic or high rectal adenocarcinoma
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Lise LACLAUTRE | Contact | 0473754963 | drci@chu-clermontferrand.fr |
| Name | Affiliation | Role |
|---|---|---|
| Julie VEZIANT | University Hospital, Clermont-Ferrand | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Chu Clermont-Ferrand | Recruiting | Clermont-Ferrand | 63003 | France |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 31915159 | Derived | 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. |
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| at 1, 3 and 5 years |
| 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 | at 30 days |
| length of hospital stay | length of hospital stay includes length of stay in Intensive Care unit and Conventional Hospital Unit. | at 3 months |
| postoperative mortality | postoperative death until 90 days after surgery | at 90 days |
| evolution of sarcopenia | evolution of skeletal muscle index (SMI) identified from pretreatment and oncology follow-up computed tomography scans | at 3,6, 12 and 36 months |
| evolution Body Mass Index (BMI) | evolution Body Mass Index (BMI) defined during postoperative oncologic follow up clinical consultations (weight measurement) | at 3,6,12 and 36 months |
| Microbiota composition | composition of the microbiota according to the sampling site (stools, Peritumoral mucosa and tumor) | during surgery |
| ID | Term |
|---|---|
| D015179 | Colorectal Neoplasms |
| D024821 | Metabolic Syndrome |
| D055948 | Sarcopenia |
| ID | Term |
|---|---|
| D007414 | Intestinal Neoplasms |
| D005770 | Gastrointestinal Neoplasms |
| D004067 | Digestive System Neoplasms |
| D009371 | Neoplasms by Site |
| D009369 | Neoplasms |
| D004066 | Digestive System Diseases |
| D005767 | Gastrointestinal Diseases |
| D003108 | Colonic Diseases |
| D007410 | Intestinal Diseases |
| D012002 | Rectal Diseases |
| D007333 | Insulin Resistance |
| D006946 | Hyperinsulinism |
| D044882 | Glucose Metabolism Disorders |
| D008659 | Metabolic Diseases |
| D009750 | Nutritional and Metabolic Diseases |
| D009133 | Muscular Atrophy |
| D020879 | Neuromuscular Manifestations |
| D009461 | Neurologic Manifestations |
| D009422 | Nervous System Diseases |
| D001284 | Atrophy |
| D020763 | Pathological Conditions, Anatomical |
| D013568 | Pathological Conditions, Signs and Symptoms |
| D012816 | Signs and Symptoms |
Not provided
Not provided