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Faecal Microbiota Composition Varies between Patients with Breast Cancer and Healthy Women: A Comparative Case-Control Study

Bobin-Dubigeon, Christine, Luu, Huyen Trang, Leuillet, Sébastien, Lavergne, Sidonie N., Carton, Thomas, Le Vacon, Françoise, Michel, Catherine, Nazih, Hassane, Bard, Jean-Marie·2021·Nutrients
DOI 10.3390/nu13082705PMC PMC8399700
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Abstract

The intestinal microbiota plays an essential role in many diseases, such as obesity, irritable bowel disease (IBD), and cancer. This study aimed to characterize the faecal microbiota from early-stage breast cancer (BC) patients and healthy controls. Faeces from newly diagnosed breast cancer patients, mainly for an invasive carcinoma of no specific type (HR+ and HER2−), before any therapeutic treatment and healthy controls were collected for metabarcoding analyses. We show that the Shannon index, used as an index of diversity, was statistically lower in the BC group compared to that of controls. This work highlights a reduction of microbial diversity, a relative enrichment in Firmicutes, as well as a depletion in Bacteroidetes in patients diagnosed with early BC compared to those of healthy women. A tendency towards a decreased relative abundance of Odoribacter sp., Butyricimonas sp., and Coprococcus sp. was observed. This preliminary study suggests that breast cancer patients may differ from healthy subjects in their intestinal bacterial composition.

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Crossref · 10.3390/nu13082705

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Figure 1 Study design.
Figure 1 Study design.CC BY · PubMed Central
Figure 2 The α-diversity of faecal microbiota in the 2 studied groups identified by 16S rRNA gene sequencing: (a) Rarefied Chao1 index; (b) Shannon index. Indicated p values are not adjusted on age.
Figure 2 The α-diversity of faecal microbiota in the 2 studied groups identified by 16S rRNA gene sequencing: (a) Rarefied Chao1 index; (b) Shannon index. Indicated p values are not adjusted on age.CC BY · PubMed Central
Figure 3 Barplots of relative abundances at the phylum level for individual data (a) or means per condition (b). Only taxa present on average in all samples at a threshold ≥0.5% or present in at least 10% of samples at a threshold ≥0.5% are individually represented.
Figure 3 Barplots of relative abundances at the phylum level for individual data (a) or means per condition (b). Only taxa present on average in all samples at a threshold ≥0.5% or present in at least 10% of samples at a threshold ≥0.5% are individually represented.CC BY · PubMed Central
Figure 4 Barplots of relative abundances at the family level for individual data (a) or means per condition (b). Only taxa present on average in all samples at a threshold ≥0.5% or present in at least 10% of samples at a threshold ≥0.5% are individually represented.
Figure 4 Barplots of relative abundances at the family level for individual data (a) or means per condition (b). Only taxa present on average in all samples at a threshold ≥0.5% or present in at least 10% of samples at a threshold ≥0.5% are individually represented.CC BY · PubMed Central
Figure 5 Heatmap of relative abundances at the genus level for individual data. Only taxa present on average in all samples at a threshold ≥0.5% or present in at least 10% of samples at a threshold ≥0.5% are individually represented. Taxa present at a threshold ≤0.01% in a sample were artificially considered as absent in this sample for this graphical representation.
Figure 5 Heatmap of relative abundances at the genus level for individual data. Only taxa present on average in all samples at a threshold ≥0.5% or present in at least 10% of samples at a threshold ≥0.5% are individually represented. Taxa present at a threshold ≤0.01% in a sample were artificially considered as absent in this sample for this graphical representation.CC BY · PubMed Central

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Citations

Cites

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Research works printed but not linked: 37

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Metadata

Authors
Bobin-Dubigeon, C., Luu, H. T., Leuillet, S., Lavergne, S. N., Carton, T., Le Vacon, F., Michel, C., Nazih, H., & Bard, J.-M.
Affiliations
  • Institut de Cancérologie de l’Ouest, 44805 Saint-Herblain, France
  • EA 2160—IUML FR3473 CNRS, Nantes University, 44035 Nantes, France
  • Biofortis Mérieux NutriSciences, 3 Route de la Chatterie, 44800 Saint-Herblain, France
  • Research Center of Human Nutrition CRNH Ouest, 44093 Nantes, France
ORCID
Venue
Nutrients
Publisher
MDPI AG
Published
2021-08-05
Volume
13
Issue
8
Pages
2705
ISSN
2072-6643
DOI
10.3390/nu13082705
PMC
PMC8399700
Cited by
90
References
9
Language
en
Licence
creativecommons.org/licenses/by/4.0/ (vor)

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