作者
Ippokratis Messaritakis, Andreas Koulouris, Eleni Boukla, Konstantinos Vogiatzoglou, Ilias Lagkouvardos, Evangelia Intze, Maria Sfakianaki, Maria Chondrozoumaki, Michaela Karagianni, Elias Athanasakis, Evangelos Xynos, John Tsiaoussis, Manousos Christodoulakis, Matthaios E Flamourakis, Eleni S Tsagkataki, Linda Giannikaki, Evdoxia Chliara, Dimitrios Mavroudis, Maria Tzardi, John Souglakos
发表日期
2024/5/18
期刊
Cancers
卷号
16
期号
10
页码范围
1923
出版商
MDPI
简介
Simple Summary
This study delves into how the community of microorganisms residing in the gut, known as the gut microbiome, can aid in understanding and predicting colorectal cancer (CRC). Through the examination of fecal and blood samples from 142 patients with stage II/III CRC and 91 reference controls, we observed that patients with CRC exhibit distinct gut microbe compositions in comparison to the control group. Additionally, we pinpoint specific microbial DNA fragments in the blood of patients with CRC. These findings imply that the gut microbiome could potentially serve as a marker for detecting CRC and predicting its prognosis. This potential could pave the way for personalized treatment strategies for patients, potentially diminishing healthcare expenses and enhancing outcomes. Nonetheless, further research is necessary to validate these findings and understand how the gut microbiome affects CRC.
Abstract
Background: Colorectal cancer (CRC) significantly contributes to cancer-related mortality, necessitating the exploration of prognostic factors beyond TNM staging. This study investigates the composition of the gut microbiome and microbial DNA fragments in stage II/III CRC. Methods: A cohort of 142 patients with stage II/III CRC and 91 healthy controls underwent comprehensive microbiome analysis. Fecal samples were collected for 16S rRNA sequencing, and blood samples were tested for the presence of microbial DNA fragments. De novo clustering analysis categorized individuals based on their microbial profiles. Alpha and beta diversity metrics were calculated, and taxonomic profiling …
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