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Gut Microbiota in Colorectal Cancer: Biological Role and Therapeutic Opportunities
SIMPLE SUMMARY: Colorectal cancer (CRC) is the second-leading cause of cancer-related deaths worldwide. In this review article, we examine the role of gut microbiota in the development and progression of CRC. We also examine the use of gut microbiota as a biomarker to predict CRC and its possible th...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9913759/ https://www.ncbi.nlm.nih.gov/pubmed/36765824 http://dx.doi.org/10.3390/cancers15030866 |
Sumario: | SIMPLE SUMMARY: Colorectal cancer (CRC) is the second-leading cause of cancer-related deaths worldwide. In this review article, we examine the role of gut microbiota in the development and progression of CRC. We also examine the use of gut microbiota as a biomarker to predict CRC and its possible therapeutic outcome. ABSTRACT: Colorectal cancer (CRC) is the second-leading cause of cancer-related deaths worldwide. While CRC is thought to be an interplay between genetic and environmental factors, several lines of evidence suggest the involvement of gut microbiota in promoting inflammation and tumor progression. Gut microbiota refer to the ~40 trillion microorganisms that inhabit the human gut. Advances in next-generation sequencing technologies and metagenomics have provided new insights into the gut microbial ecology and have helped in linking gut microbiota to CRC. Many studies carried out in humans and animal models have emphasized the role of certain gut bacteria, such as Fusobacterium nucleatum, enterotoxigenic Bacteroides fragilis, and colibactin-producing Escherichia coli, in the onset and progression of CRC. Metagenomic studies have opened up new avenues for the application of gut microbiota in the diagnosis, prevention, and treatment of CRC. This review article summarizes the role of gut microbiota in CRC development and its use as a biomarker to predict the disease and its potential therapeutic applications. |
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