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Performance of new biomarkers and technologies for colorectal cancer screening

ABSTRACT: Interventions: Gold Standard: Taking colonoscopy together with pathological examination results as the gold standard.;Index test:Detection of miR-92a in stool samples; Detection of Septin9 in plasma samples; Detection of FIT-DNA in stool samples; Fecal immunochemical test. Primary outcome(s): Sensitivity;Specificity;Positive predictive value;Negative predictive value Study Design: Diagnostic test for accuracy

DISEASE(S): Colorectal Cancer

PROVIDER: 2662086 | ecrin-mdr-crc |

REPOSITORIES: ECRIN MDR

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Opportunistic Screening Program of Colorectal Cancer: A Multicenter Randomized Controlled Trial

Project description:Interventions: Gold Standard:Taking colonoscopy together with pathological examination results as the gold standard.;Index test:Colorectal cancer risk score questionnaire;detection of miR-92a in sool samples; detecion of Septin9 in plasma samples; detection of FIT-DNA in stool samples; Fecal immunochemical test. Primary outcome(s): Colorectal cancer and advanced adenoma detection rates Study Design: Parallel

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Molecular Diagnostic Program for Early Screening of Colorectal Cancer in China

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Stool DNA Testing for opportunistic screening of High-risk Colorectal Cancer population

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the study of the diagnostic value of DNA methylation in blood and stool in colorectal cancer

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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.

2019-08-30 | GSE132236 | GEO

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