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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.

University Hospital, Clermont-Ferrand · 2018
ClinicalTrials.gov · Datasets · License: Public Domain · 2018
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colorectal-cancercolorectal-neoplasmsgut-microbiotametabolic-syndromemicrobiotaprognosissarcopenia
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.
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