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Microbiome Profiling from Fecal Immunochemical Test Reveals Microbial Signatures with Potential for Colorectal Cancer Screening

SIMPLE SUMMARY: Colorectal cancer (CRC) is a global healthcare challenge that involves both genetic and environmental factors. Several pieces of evidence suggest that alterations of the gut microbiome can influence CRC development. In the present study we analyzed 16S rRNA sequencing data from fecal...

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Autores principales: Khannous-Lleiffe, Olfat, Willis, Jesse R., Saus, Ester, Moreno, Victor, Castellví-Bel, Sergi, Gabaldón, Toni
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9817783/
https://www.ncbi.nlm.nih.gov/pubmed/36612118
http://dx.doi.org/10.3390/cancers15010120
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author Khannous-Lleiffe, Olfat
Willis, Jesse R.
Saus, Ester
Moreno, Victor
Castellví-Bel, Sergi
Gabaldón, Toni
author_facet Khannous-Lleiffe, Olfat
Willis, Jesse R.
Saus, Ester
Moreno, Victor
Castellví-Bel, Sergi
Gabaldón, Toni
author_sort Khannous-Lleiffe, Olfat
collection PubMed
description SIMPLE SUMMARY: Colorectal cancer (CRC) is a global healthcare challenge that involves both genetic and environmental factors. Several pieces of evidence suggest that alterations of the gut microbiome can influence CRC development. In the present study we analyzed 16S rRNA sequencing data from fecal immunochemical test (FIT) samples from a large cohort, observing a predictive potential of the microbiome, revealing changes along the path from healthy tissue to carcinoma. Our work has implications in the understanding of the roles of microbes on the adenoma to carcinoma progression and opens the door to an improvement of the current CRC screening programmes. ABSTRACT: Colorectal cancer (CRC) is the third most common cancer and the second leading cause of cancer deaths worldwide. Early diagnosis of CRC, which saves lives and enables better outcomes, is generally implemented through a two-step population screening approach based on the use of Fecal Immunochemical Test (FIT) followed by colonoscopy if the test is positive. However, the FIT step has a high false positive rate, and there is a need for new predictive biomarkers to better prioritize cases for colonoscopy. Here we used 16S rRNA metabarcoding from FIT positive samples to uncover microbial taxa, taxon co-occurrence and metabolic features significantly associated with different colonoscopy outcomes, underscoring a predictive potential and revealing changes along the path from healthy tissue to carcinoma. Finally, we used machine learning to develop a two-phase classifier which reduces the current false positive rate while maximizing the inclusion of CRC and clinically relevant samples.
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spelling pubmed-98177832023-01-07 Microbiome Profiling from Fecal Immunochemical Test Reveals Microbial Signatures with Potential for Colorectal Cancer Screening Khannous-Lleiffe, Olfat Willis, Jesse R. Saus, Ester Moreno, Victor Castellví-Bel, Sergi Gabaldón, Toni Cancers (Basel) Article SIMPLE SUMMARY: Colorectal cancer (CRC) is a global healthcare challenge that involves both genetic and environmental factors. Several pieces of evidence suggest that alterations of the gut microbiome can influence CRC development. In the present study we analyzed 16S rRNA sequencing data from fecal immunochemical test (FIT) samples from a large cohort, observing a predictive potential of the microbiome, revealing changes along the path from healthy tissue to carcinoma. Our work has implications in the understanding of the roles of microbes on the adenoma to carcinoma progression and opens the door to an improvement of the current CRC screening programmes. ABSTRACT: Colorectal cancer (CRC) is the third most common cancer and the second leading cause of cancer deaths worldwide. Early diagnosis of CRC, which saves lives and enables better outcomes, is generally implemented through a two-step population screening approach based on the use of Fecal Immunochemical Test (FIT) followed by colonoscopy if the test is positive. However, the FIT step has a high false positive rate, and there is a need for new predictive biomarkers to better prioritize cases for colonoscopy. Here we used 16S rRNA metabarcoding from FIT positive samples to uncover microbial taxa, taxon co-occurrence and metabolic features significantly associated with different colonoscopy outcomes, underscoring a predictive potential and revealing changes along the path from healthy tissue to carcinoma. Finally, we used machine learning to develop a two-phase classifier which reduces the current false positive rate while maximizing the inclusion of CRC and clinically relevant samples. MDPI 2022-12-25 /pmc/articles/PMC9817783/ /pubmed/36612118 http://dx.doi.org/10.3390/cancers15010120 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Khannous-Lleiffe, Olfat
Willis, Jesse R.
Saus, Ester
Moreno, Victor
Castellví-Bel, Sergi
Gabaldón, Toni
Microbiome Profiling from Fecal Immunochemical Test Reveals Microbial Signatures with Potential for Colorectal Cancer Screening
title Microbiome Profiling from Fecal Immunochemical Test Reveals Microbial Signatures with Potential for Colorectal Cancer Screening
title_full Microbiome Profiling from Fecal Immunochemical Test Reveals Microbial Signatures with Potential for Colorectal Cancer Screening
title_fullStr Microbiome Profiling from Fecal Immunochemical Test Reveals Microbial Signatures with Potential for Colorectal Cancer Screening
title_full_unstemmed Microbiome Profiling from Fecal Immunochemical Test Reveals Microbial Signatures with Potential for Colorectal Cancer Screening
title_short Microbiome Profiling from Fecal Immunochemical Test Reveals Microbial Signatures with Potential for Colorectal Cancer Screening
title_sort microbiome profiling from fecal immunochemical test reveals microbial signatures with potential for colorectal cancer screening
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9817783/
https://www.ncbi.nlm.nih.gov/pubmed/36612118
http://dx.doi.org/10.3390/cancers15010120
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