Conceptio › Archive › ClinicalTrials.gov
ClinicalTrials.gov public full text Public Domain

Microbiome Testing for the Screening of Colorectal Cancer

Fondazione Policlinico Universitario Agostino Gemelli IRCCS · 2024
ClinicalTrials.gov · Datasets · License: Public Domain · 2024
Open Source ↗
colorectal-cancermicrobiome
Colorectal cancer (CRC) is one of the most common cancer and cause of cancer death worldwide. Population-based screening programs for average-risk populations have proven effective in reducing both incidence and mortality of CRC through early detection of cancer. The fecal immunochemical testing (FIT), has still a suboptimal diagnostic yield, with both missed adenomas and, mainly, unnecessary colonoscopies.The identification of novel, non-invasive biomarkers is currently one of the research areas driving most expenditure forces in the field of CRC.A large body of evidence shows that alterations of the gut microbiome and the enrichment of specific taxa(e.g. Fusobacterium nucleatum, Parvimonas micra, and others) are involved in the pathogenesis of CRC. Moreover, recent studies, have discovered common microbial signatures able to reproducibly discriminate between patients with CRC and healthy controls. The goal of this observational study to develop a gut microbiome-based diagnostic tool for the identification of CRC and advanced colorectal adenomas in patients enrolled in the national colorectal cancer (CRC) screening program (50-74 years old) and among who refer to all centers involved in this study for screening colonoscopy with positivity of FIT, of both sex. The primary endpoint of the study is to develop a gut microbiome-based diagnostic tool for the identification of CRC and advanced colorectal adenomas in patients involved in the national CRC screening program at 30 months, using both statistical and machine learning approaches The secondary endpoints are: * The association of clinical and colonoscopy outcomes with FIT results at 30 months * The characterization of gut microbiome from an ecological, taxonomic, phylogenetic and functional point of view at 30 months * The association between microbiome signatures with clinical and colonoscopy outcomes at 30 months, through statistical and machine-learning algorithms At baseline, enrolled patients will provide
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 909513
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive