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Analysis of Gut Microbiota in Patients with Breast Cancer and Benign Breast Lesions

Zhijun Ma
Zhijun Ma
, 
Manli Qu
Manli Qu
 oraz 
Xiaowu Wang
Xiaowu Wang
   | 31 maj 2022
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Article Category: Original Paper
Data publikacji: 31 maj 2022
Zakres stron: 217 - 226
Otrzymano: 04 lis 2021
Przyjęty: 21 mar 2022
DOI: https://doi.org/10.33073/pjm-2022-019
Słowa kluczowe
© 2022 Zhijun Ma et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Fig. 1

The Petaline graph for calculated OTUs. Different colors designate different groups. The central circular area designates the set of OTUs often present in the counterpart groups, and the single-layer zone designates the number of OTUs uniquely found in each group; BC – breast cancer, BL – benign breast lesions, HC – healthy controls.
The Petaline graph for calculated OTUs. Different colors designate different groups. The central circular area designates the set of OTUs often present in the counterpart groups, and the single-layer zone designates the number of OTUs uniquely found in each group; BC – breast cancer, BL – benign breast lesions, HC – healthy controls.

Fig. 2

Comparison of relative taxa richness among breast cancer patients, benign breast lesion patients, and healthy controls. A) Comparison at the phylum level; B) comparison at the genus level; BC – breast cancer, BL – benign breast lesions, HC – healthy controls.
Comparison of relative taxa richness among breast cancer patients, benign breast lesion patients, and healthy controls. A) Comparison at the phylum level; B) comparison at the genus level; BC – breast cancer, BL – benign breast lesions, HC – healthy controls.

Fig. 3

Alpha diversity metrics (Sobs and Chao1 index).A, B) Boxplots for species richness between breast cancer patients and healthy controls; C, D) boxplots for species richness between benign breast lesion patients and healthy controls; BC – breast cancer, BL – benign breast lesions, HC – healthy controls.
Alpha diversity metrics (Sobs and Chao1 index).A, B) Boxplots for species richness between breast cancer patients and healthy controls; C, D) boxplots for species richness between benign breast lesion patients and healthy controls; BC – breast cancer, BL – benign breast lesions, HC – healthy controls.

Fig. 4

Beta diversity assessment based on unweighted and weighted UniFrac.A) Boxplots showing the comparison of beta diversity based on unweighted UniFrac among groups; B) boxplots showing the comparison of beta diversity based on weighted UniFrac among groups; BC – breast cancer, BL – benign breast lesions, HC – healthy controls.
Beta diversity assessment based on unweighted and weighted UniFrac.A) Boxplots showing the comparison of beta diversity based on unweighted UniFrac among groups; B) boxplots showing the comparison of beta diversity based on weighted UniFrac among groups; BC – breast cancer, BL – benign breast lesions, HC – healthy controls.

Fig. 5

PCoA and PLS-DA analysis of microbiota among breast cancer patients, benign breast lesion patients, and healthy controls. Blue circles, orange triangles, and green diamonds represent samples in different groups. The closer the spatial distance of the sample, the more similar the species composition of the sample.A) PCoA plot based on weighted Unifrac; B) PLS-DA plot; BC – breast cancer, BL – benign breast lesions, HC – healthy controls.
PCoA and PLS-DA analysis of microbiota among breast cancer patients, benign breast lesion patients, and healthy controls. Blue circles, orange triangles, and green diamonds represent samples in different groups. The closer the spatial distance of the sample, the more similar the species composition of the sample.A) PCoA plot based on weighted Unifrac; B) PLS-DA plot; BC – breast cancer, BL – benign breast lesions, HC – healthy controls.

Fig. 6

Characteristics of bacterial community composition in breast cancer patients, benign breast lesion patients, and healthy control groups. The linear discriminant analysis (LDA) coupled with effect size (LEfSe) was performed using the LEfSe program. An LDA (log10) score of > 2.0 was considered significant; BC – breast cancer, BL – benign breast lesions, HC – healthy controls.
Characteristics of bacterial community composition in breast cancer patients, benign breast lesion patients, and healthy control groups. The linear discriminant analysis (LDA) coupled with effect size (LEfSe) was performed using the LEfSe program. An LDA (log10) score of > 2.0 was considered significant; BC – breast cancer, BL – benign breast lesions, HC – healthy controls.

Changes in bacterial abundance at the genus level in patients with breast cancer and benign breast lesions.

Breast cancer Benign breast lesions
More abundant genera Less abundant genera More abundant genera Less abundant genera
Escherichia Faecalibacterium Escherichia Collinsella
Peptoniphilus Lachnospiracea_incertae_sedis Peptoniphilus Alistipes
Bilophila Collinsella Coprobacillus Megamonas
Lactobacillus Alistipes Lactobacillus Butyricimonas
Porphyromonas Anaerofilum Porphyromonas Acidaminococcus
Christensenella Asaccharobacter
Butyricimonas Tissierella
Erysipelothrix Cloacibacillus
Acidaminococcus
Victivallis
Eubacterium
Tissierella
Hydrogenoanaerobacterium
Cloacibacillus
Oxalobacter

Baseline characteristics of the patients enrolled.

Healthy controls Breast cancer Benign breast lesions
No. of individuals 20 26 20
Gender (male/female) 0/20 0/26 0/20
Mean age (± SD, years) 46.90 (10.87) 49.62 (7.33) 48.95 (8.73)
Mean BMI (± SD, kg/m2) 22.80 (2.02) 22.88 (1.98) 21.71 (2.20)
eISSN:
2544-4646
Język:
Angielski
Częstotliwość wydawania:
4 razy w roku
Dziedziny czasopisma:
Life Sciences, Microbiology and Virology
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