Cargando…
Analysis of changes in microbiome compositions related to the prognosis of colorectal cancer patients based on tissue-derived 16S rRNA sequences
BACKGROUND: Comparing the microbiome compositions obtained under different physiological conditions has frequently been attempted in recent years to understand the functional influence of microbiomes in the occurrence of various human diseases. METHODS: In the present work, we analyzed 102 microbiom...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8628381/ https://www.ncbi.nlm.nih.gov/pubmed/34844611 http://dx.doi.org/10.1186/s12967-021-03154-0 |
_version_ | 1784606995883491328 |
---|---|
author | Choi, Sukjung Chung, Jongsuk Cho, Mi-La Park, Donghyun Choi, Sun Shim |
author_facet | Choi, Sukjung Chung, Jongsuk Cho, Mi-La Park, Donghyun Choi, Sun Shim |
author_sort | Choi, Sukjung |
collection | PubMed |
description | BACKGROUND: Comparing the microbiome compositions obtained under different physiological conditions has frequently been attempted in recent years to understand the functional influence of microbiomes in the occurrence of various human diseases. METHODS: In the present work, we analyzed 102 microbiome datasets containing tumor- and normal tissue-derived microbiomes obtained from a total of 51 Korean colorectal cancer (CRC) patients using 16S rRNA amplicon sequencing. Two types of comparisons were used: ‘normal versus (vs.) tumor’ comparison and ‘recurrent vs. nonrecurrent’ comparison, for which the prognosis of patients was retrospectively determined. RESULTS: As a result, we observed that in the ‘normal vs. tumor’ comparison, three phyla, Firmicutes, Actinobacteria, and Bacteroidetes, were more abundant in normal tissues, whereas some pathogenic bacteria, including Fusobacterium nucleatum and Bacteroides fragilis, were more abundant in tumor tissues. We also found that bacteria with metabolic pathways related to the production of bacterial motility proteins or bile acid secretion were more enriched in tumor tissues. In addition, the amount of these two pathogenic bacteria was positively correlated with the expression levels of host genes involved in the cell cycle and cell proliferation, confirming the association of microbiomes with tumorigenic pathway genes in the host. Surprisingly, in the ‘recurrent vs. nonrecurrent’ comparison, we observed that these two pathogenic bacteria were more abundant in the patients without recurrence than in the patients with recurrence. The same conclusion was drawn in the analysis of both normal and tumor-derived microbiomes. CONCLUSIONS: Taken together, it seems that understanding the composition of tissue microbiomes is useful for predicting the prognosis of CRC patients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12967-021-03154-0. |
format | Online Article Text |
id | pubmed-8628381 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-86283812021-12-01 Analysis of changes in microbiome compositions related to the prognosis of colorectal cancer patients based on tissue-derived 16S rRNA sequences Choi, Sukjung Chung, Jongsuk Cho, Mi-La Park, Donghyun Choi, Sun Shim J Transl Med Research BACKGROUND: Comparing the microbiome compositions obtained under different physiological conditions has frequently been attempted in recent years to understand the functional influence of microbiomes in the occurrence of various human diseases. METHODS: In the present work, we analyzed 102 microbiome datasets containing tumor- and normal tissue-derived microbiomes obtained from a total of 51 Korean colorectal cancer (CRC) patients using 16S rRNA amplicon sequencing. Two types of comparisons were used: ‘normal versus (vs.) tumor’ comparison and ‘recurrent vs. nonrecurrent’ comparison, for which the prognosis of patients was retrospectively determined. RESULTS: As a result, we observed that in the ‘normal vs. tumor’ comparison, three phyla, Firmicutes, Actinobacteria, and Bacteroidetes, were more abundant in normal tissues, whereas some pathogenic bacteria, including Fusobacterium nucleatum and Bacteroides fragilis, were more abundant in tumor tissues. We also found that bacteria with metabolic pathways related to the production of bacterial motility proteins or bile acid secretion were more enriched in tumor tissues. In addition, the amount of these two pathogenic bacteria was positively correlated with the expression levels of host genes involved in the cell cycle and cell proliferation, confirming the association of microbiomes with tumorigenic pathway genes in the host. Surprisingly, in the ‘recurrent vs. nonrecurrent’ comparison, we observed that these two pathogenic bacteria were more abundant in the patients without recurrence than in the patients with recurrence. The same conclusion was drawn in the analysis of both normal and tumor-derived microbiomes. CONCLUSIONS: Taken together, it seems that understanding the composition of tissue microbiomes is useful for predicting the prognosis of CRC patients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12967-021-03154-0. BioMed Central 2021-11-29 /pmc/articles/PMC8628381/ /pubmed/34844611 http://dx.doi.org/10.1186/s12967-021-03154-0 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Choi, Sukjung Chung, Jongsuk Cho, Mi-La Park, Donghyun Choi, Sun Shim Analysis of changes in microbiome compositions related to the prognosis of colorectal cancer patients based on tissue-derived 16S rRNA sequences |
title | Analysis of changes in microbiome compositions related to the prognosis of colorectal cancer patients based on tissue-derived 16S rRNA sequences |
title_full | Analysis of changes in microbiome compositions related to the prognosis of colorectal cancer patients based on tissue-derived 16S rRNA sequences |
title_fullStr | Analysis of changes in microbiome compositions related to the prognosis of colorectal cancer patients based on tissue-derived 16S rRNA sequences |
title_full_unstemmed | Analysis of changes in microbiome compositions related to the prognosis of colorectal cancer patients based on tissue-derived 16S rRNA sequences |
title_short | Analysis of changes in microbiome compositions related to the prognosis of colorectal cancer patients based on tissue-derived 16S rRNA sequences |
title_sort | analysis of changes in microbiome compositions related to the prognosis of colorectal cancer patients based on tissue-derived 16s rrna sequences |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8628381/ https://www.ncbi.nlm.nih.gov/pubmed/34844611 http://dx.doi.org/10.1186/s12967-021-03154-0 |
work_keys_str_mv | AT choisukjung analysisofchangesinmicrobiomecompositionsrelatedtotheprognosisofcolorectalcancerpatientsbasedontissuederived16srrnasequences AT chungjongsuk analysisofchangesinmicrobiomecompositionsrelatedtotheprognosisofcolorectalcancerpatientsbasedontissuederived16srrnasequences AT chomila analysisofchangesinmicrobiomecompositionsrelatedtotheprognosisofcolorectalcancerpatientsbasedontissuederived16srrnasequences AT parkdonghyun analysisofchangesinmicrobiomecompositionsrelatedtotheprognosisofcolorectalcancerpatientsbasedontissuederived16srrnasequences AT choisunshim analysisofchangesinmicrobiomecompositionsrelatedtotheprognosisofcolorectalcancerpatientsbasedontissuederived16srrnasequences |