Microbiota composition in bilateral healthy breast tissue and breast tumors

From BugSigDB
Needs review
study design
Citation
PMID PubMed identifier for scientific articles.
DOI Digital object identifier for electronic documents.
URI Uniform resource identifier for web resources.
Authors
Klann E, Williamson JM, Tagliamonte MS, Ukhanova M, Asirvatham JR, Chim H, Yaghjyan L, Mai V
Journal
Cancer causes & control : CCC
Year
2020
Keywords:
Breast, Cancer, Microbiota, Tumor microenvironment
PURPOSE: Previous reports suggest that a complex microbiome exists within the female human breast that might contribute to breast cancer etiology. The purpose of this pilot study was to assess the variation in microbiota composition by breast side (left versus right) within individual women and compare the microbiota of normal and breast tumor tissue between women. We aimed to determine whether microbiota composition differs between these groups and whether certain bacterial taxa may be associated with breast tumors. METHODS: Bilateral normal breast tissue samples (n = 36) were collected from ten women who received routine mammoplasty procedures. Archived breast tumor samples (n = 10) were obtained from a biorepository. DNA was extracted, amplified, and sequenced. Microbiota data were analyzed using QIIME and RStudio. RESULTS: The most abundant phyla in both tumor and normal tissues were Bacteroidetes, Firmicutes, Proteobacteria, and Actinobacteria. There were statistically significant differences in the relative abundance of various bacterial taxa between groups. Alpha diversity (Simpson's index) was significantly higher in normal compared to tumor samples (0.968 vs. 0.957, p = 0.022). Based on unweighted UniFrac measures, breast tumor samples clustered distinctly from normal samples (R2 = 0.130; p = 0.01). Microbiota composition in normal samples clustered within women (R2 = 0.394; p = 0.01) and by breast side (left or right) within a woman (R2 = 0.189; p = 0.03). CONCLUSION: Significant differences in diversity between tumor and normal tissue and in composition between women and between breasts of the same woman were identified. These results warrant further research to investigate the relationship between microbiota and breast cancer.

Experiment 1


Needs review

Curated date: 2025/06/18

Curator: Ecsharp

Revision editor(s): Ecsharp

Subjects

Location of subjects
United States of America
Host species Species from which microbiome was sampled. Contact us to have more species added.
Homo sapiens
Body site Anatomical site where microbial samples were extracted from according to the Uber Anatomy Ontology
Breast Mamma,Mammary part of chest,Mammary region,Breast,breast
Condition The experimental condition / phenotype studied according to the Experimental Factor Ontology
Breast cancer breast cancer,breast tumor,cancer of breast,malignant breast neoplasm,malignant breast tumor,malignant neoplasm of breast,malignant neoplasm of the breast,malignant tumor of breast,malignant tumor of the breast,mammary cancer,mammary neoplasm,mammary tumor,primary breast cancer,Breast cancer
Group 0 name Corresponds to the control (unexposed) group for case-control studies
Bilateral Normal Breast Tissue
Group 1 name Corresponds to the case (exposed) group for case-control studies
Tumor Breast Tissue
Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
Breast cancer tumor tissue samples from white, non-Hispanic women, obtained through the University of Florida (UF) Clinical and Translational Sciences Institute (CTSI) Biorepository
Group 0 sample size Number of subjects in the control (unexposed) group
36
Group 1 sample size Number of subjects in the case (exposed) group
10

Lab analysis

Sequencing type
16S
16S variable region One or more hypervariable region(s) of the bacterial 16S gene
V1-V2
Sequencing platform Manufacturer and experimental platform used for quantifying microbial abundance
Illumina

Statistical Analysis

Data transformation Data transformation applied to microbial abundance measurements prior to differential abundance testing (if any).
raw counts
Statistical test
DESeq2
Significance threshold p-value or FDR threshold used for differential abundance testing (if any)
0.05
MHT correction Have statistical tests be corrected for multiple hypothesis testing (MHT)?
Yes

Alpha Diversity

Shannon Estimator of species richness and species evenness: more weight on species richness
unchanged
Simpson Estimator of species richness and species evenness: more weight on species evenness
decreased

Signature 1

Needs review

Curated date: 2025/06/18

Curator: Ecsharp

Revision editor(s): Ecsharp

Source: Figure 4

Description: Significantly different taxa identified by differential abundance between normal and tumor tissue. All OTUs shown were found to be statistically significant in terms of differential abundance using Wald’s test with Benjamini–Hochberg adjustment in the DESeq2 package (DESeq function).

Abundance in Group 1: increased abundance in Tumor Breast Tissue

NCBI Quality ControlLinks
Akkermansia
Bacteroides
Butyricimonas
Faecalibacterium
Holdemania
Oscillospira
Parabacteroides
Rothia
Ruminococcus
Staphylococcus
Sutterella
Varibaculum

Revision editor(s): Ecsharp

Signature 2

Needs review

Curated date: 2025/06/18

Curator: Ecsharp

Revision editor(s): Ecsharp

Source: Figure 4

Description: Significantly different taxa identified by differential abundance between normal and tumor tissue. All OTUs shown were found to be statistically significant in terms of differential abundance using Wald’s test with Benjamini–Hochberg adjustment in the DESeq2 package (DESeq function).

Abundance in Group 1: decreased abundance in Tumor Breast Tissue

NCBI Quality ControlLinks
Eubacterium
Prevotella
Acinetobacter
Anaerococcus
Brevibacillus
Collinsella
Comamonas
Corynebacterium
Flavobacterium
Limnohabitans
Phascolarctobacterium
Pseudomonas
Pyramidobacter
Succinivibrio
Sutterella
Staphylococcus
Bacteroides

Revision editor(s): Ecsharp

Experiment 2


Needs review

Curated date: 2025/06/18

Curator: Ecsharp

Revision editor(s): Ecsharp

Differences from previous experiment shown

Subjects

Lab analysis

Statistical Analysis

Data transformation Data transformation applied to microbial abundance measurements prior to differential abundance testing (if any).
log transformation
Statistical test
MaAsLin2

Alpha Diversity

Shannon Estimator of species richness and species evenness: more weight on species richness
unchanged
Simpson Estimator of species richness and species evenness: more weight on species evenness
decreased

Signature 1

Needs review

Curated date: 2025/06/19

Curator: Ecsharp

Revision editor(s): Ecsharp

Source: Online Resource 3

Description: A total of 131 OTUs were identified as significantly associated with tissue group (normal or tumor) through a generalized linear mixed effects model with individual subject as the random effect and disease status as the fixed effect. The most specific level of taxonomic classification is reported for each OTU. A positive coefficient indicates the OTU is more abundant in normal tissue and a negative coefficient indicates the OTU is more abundant in tumor tissue.

Abundance in Group 1: increased abundance in Tumor Breast Tissue

NCBI Quality ControlLinks
Acinetobacter
Actinomyces
Akkermansia
Anaerococcus
Anaeroplasmataceae
Bacillota
Bacillus
Blautia
Brevibacillus
Bulleidia
Candidatus Babelota
Chitinophagaceae
Christensenellaceae
Collinsella
Comamonadaceae
Comamonas
Corynebacterium
Cytophagales
Desulfovibrio
Elizabethkingia
Eubacteriales
Eubacterium
Faecalibacterium
Flavobacterium
Lachnospiraceae
Lactobacillus
Limnohabitans
Microbacteriaceae
Muribaculaceae
Oscillospiraceae
Oxalobacteraceae
Parvimonas
Phascolarctobacterium
Prevotella
Propionibacteriaceae
Pyramidobacter
Rhodococcus
Rhodoluna
Rikenellaceae
Staphylococcus
Streptococcus
Succinivibrio
Sutterella
Order RF32Order RF32
Family ACK-M1Family ACK-M1
Order YS2Order YS2
Order ML615J-28Order ML615J-28
Anaerovoracaceae

Revision editor(s): Ecsharp

Signature 2

Needs review

Curated date: 2025/06/19

Curator: Ecsharp

Revision editor(s): Ecsharp

Source: Online Resource 3

Description: A total of 131 OTUs were identified as significantly associated with tissue group (normal or tumor) through a generalized linear mixed effects model with individual subject as the random effect and disease status as the fixed effect. The most specific level of taxonomic classification is reported for each OTU. A positive coefficient indicates the OTU is more abundant in normal tissue and a negative coefficient indicates the OTU is more abundant in tumor tissue.

Abundance in Group 1: decreased abundance in Tumor Breast Tissue

NCBI Quality ControlLinks
Oscillospiraceae
Rikenellaceae
Butyricimonas
Sutterella
Akkermansia
Bacteroides
Gemellaceae
Bacteroidales
Pseudomonadaceae
Parabacteroides
Varibaculum
Eubacteriales
Rothia
Eubacterium
Anaerovoracaceae
Oxalobacter
Oscillospira
Faecalibacterium
Holdemania
Blautia
Lachnospiraceae
Staphylococcus
Enterobacteriaceae
Neisseriaceae
Acidaminococcus
Desulfovibrio
Ruminococcus
Peptococcaceae
clostridialesclostridiales

Revision editor(s): Ecsharp

Experiment 3


Needs review

Curated date: 2025/07/01

Curator: Ecsharp

Revision editor(s): Ecsharp

Differences from previous experiment shown

Subjects

Lab analysis

Statistical Analysis

Data transformation Data transformation applied to microbial abundance measurements prior to differential abundance testing (if any).
relative abundances
Statistical test
Mann-Whitney (Wilcoxon)

Alpha Diversity

Shannon Estimator of species richness and species evenness: more weight on species richness
unchanged
Simpson Estimator of species richness and species evenness: more weight on species evenness
decreased

Signature 1

Needs review

Curated date: 2025/07/01

Curator: Ecsharp

Revision editor(s): Ecsharp

Source: Online Resources 1a-c

Description: Relative abundance of phyla, families, and genera in normal and tumor tissue. P-values were generated using a non-parametric Mann-Whitney U test and were adjusted using the Benjamini-Hochberg method.

Abundance in Group 1: increased abundance in Tumor Breast Tissue

NCBI Quality ControlLinks
Akkermansia
Butyricimonas
Odoribacteraceae
Oscillospiraceae
Parabacteroides
Porphyromonadaceae
Verrucomicrobiaceae
Verrucomicrobiota

Revision editor(s): Ecsharp

Signature 2

Needs review

Curated date: 2025/07/01

Curator: Ecsharp

Revision editor(s): Ecsharp

Source: Online Resources 1a-c

Description: Relative abundance of phyla, families, and genera in normal and tumor tissue. P-values were generated using a non-parametric Mann-Whitney U test and were adjusted using the Benjamini-Hochberg method.

Abundance in Group 1: decreased abundance in Tumor Breast Tissue

NCBI Quality ControlLinks
Cyanobacteriota
Pseudomonadota
Synergistota
Mycoplasmatota
Alcaligenaceae
Flavobacteriaceae
Moraxellaceae
Prevotellaceae
Acinetobacter
Flavobacterium
Prevotella
Staphylococcus
Sutterella

Revision editor(s): Ecsharp