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A prospective study on the application of Multi-target Stool FIT-DNA Test (ColoClear) in colorectal cancer screening and the practical verification of genetic and lifestyle factors

ABSTRACT: Interventions: Gold Standard:colonoscopy;Index test:Multi-target Stool FIT-DNA Test (ColoClear) ; Fecal immunochemical test(Pupu Tube) Primary outcome(s): Sensitivity;Specificity;Positive predictive value;Negative predictive value;Coincidence Rate;Morbidity Study Design: Cohort study

DISEASE(S): Colorectal Tumor

PROVIDER: 2662204 | ecrin-mdr-crc |

REPOSITORIES: ECRIN MDR

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Application value of multi-target stool FIT-DNA test (ColoClear) in patients with early colorectal cancer and precancerous lesions and their first-degree relatives: a prospective study

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Altered fecal small RNA profiles in colorectal cancer reflect gut microbiome composition in stool samples

Project description:Dysbiotic configurations of the human gut microbiota have been linked with colorectal cancer (CRC). Human small non-coding RNAs are also implicated in CRC and recent findings suggest that their release in the gut lumen contributes to shape the gut microbiota. Bacterial small RNAs (bsRNAs) may also play a role in carcinogenesis but their role is less explored. Here, we performed small RNA and shotgun sequencing on 80 stool specimens of patients with CRC, or adenomas, and healthy subjects collected in a cross-sectional study to evaluate their combined use as a predictive tool for disease detection. We reported a considerable overlap and correlation between metagenomic and bsRNA quantitative taxonomic profiles obtained from the two approaches. Furthermore, we identified a combined predictive signature composed by 32 features from human and microbial small RNAs and DNA-based microbiome able to accurately classify CRC from healthy and adenoma samples (AUC= 0.87). In summary we reported evidence that host-microbiome dysbiosis in CRC can be observed also by altered small RNA stool profiles. Integrated analyses of the microbiome and small RNAs in the human stool may provide insights for designing more accurate tools for diagnostic purposes.

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