Comprehensive profiles and diagnostic value of menopausal-specific gut microbiota in premenopausal breast cancer

From BugSigDB
Needs review
study design
Citation
PMID PubMed identifier for scientific articles.
DOI Digital object identifier for electronic documents.
URI
Authors
Hou MF, Ou-Yang F, Li CL, Chen FM, Chuang CH, Kan JY, Wu CC, Shih SL, Shiau JP, Kao LC, Kao CN, Lee YC, Moi SH, Yeh YT, Cheng CJ, Chiang CP
Journal
Experimental & molecular medicine
Year
2021
In Western countries, breast cancer tends to occur in older postmenopausal women. However, in Asian countries, the proportion of younger premenopausal breast cancer patients is increasing. Increasing evidence suggests that the gut microbiota plays a critical role in breast cancer. However, studies on the gut microbiota in the context of breast cancer have mainly focused on postmenopausal breast cancer. Little is known about the gut microbiota in the context of premenopausal breast cancer. This study aimed to comprehensively explore the gut microbial profiles, diagnostic value, and functional pathways in premenopausal breast cancer patients. Here, we analyzed 267 breast cancer patients with different menopausal statuses and age-matched female controls. The α-diversity was significantly reduced in premenopausal breast cancer patients, and the β-diversity differed significantly between breast cancer patients and controls. By performing multiple analyses and classification, 14 microbial markers were identified in the different menopausal statuses of breast cancer. Bacteroides fragilis was specifically found in young women of premenopausal statuses and Klebsiella pneumoniae in older women of postmenopausal statuses. In addition, menopausal-specific microbial markers could exhibit excellent discriminatory ability in distinguishing breast cancer patients from controls. Finally, the functional pathways differed between breast cancer patients and controls. Our findings provide the first evidence that the gut microbiota in premenopausal breast cancer patients differs from that in postmenopausal breast cancer patients and shed light on menopausal-specific microbial markers for diagnosis and investigation, ultimately providing a noninvasive approach for breast cancer detection and a novel strategy for preventing premenopausal breast cancer.

Experiment 1


Needs review

Curated date: 2024/04/08

Curator: Rahila

Revision editor(s): Rahila

Subjects

Location of subjects
Taiwan
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
Feces Cow dung,Cow pat,Droppings,Dung,Excrement,Excreta,Faeces,Fecal material,Fecal matter,Fewmet,Frass,Guano,Matières fécales@fr,Merde@fr,Ordure,Partie de la merde@fr,Piece of shit,Porción de mierda@es,Portion of dung,Portion of excrement,Portion of faeces,Portion of fecal material,Portion of fecal matter,Portion of feces,Portion of guano,Portion of scat,Portionem cacas,Scat,Spoor,Spraint,Stool,Teil der fäkalien@de,Feces,feces
Condition The experimental condition / phenotype studied according to the Experimental Factor Ontology
Breast carcinoma breast cancer,breast cancer, NOS,breast carcinoma,cancer of breast,cancer of the breast,cancer, breast,carcinoma of breast,carcinoma of the breast,mammary carcinoma,Breast carcinoma
Group 0 name Corresponds to the control (unexposed) group for case-control studies
premenopausal female controls (Pre-C)
Group 1 name Corresponds to the case (exposed) group for case-control studies
premenopausal breast cancer patients (Pre-BC)
Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
Patients with premenopausal breast cancer
Group 0 sample size Number of subjects in the control (unexposed) group
50
Group 1 sample size Number of subjects in the case (exposed) group
100
Antibiotics exclusion Number of days without antibiotics usage (if applicable) and other antibiotics-related criteria used to exclude participants (if any)
Within 4 weeks

Lab analysis

Sequencing type
16S
16S variable region One or more hypervariable region(s) of the bacterial 16S gene
V3-V4
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).
relative abundances
Statistical test
LEfSe
Significance threshold p-value or FDR threshold used for differential abundance testing (if any)
0.05
LDA Score above Threshold for the linear discriminant analysis (LDA) score for studies using the popular LEfSe tool
2.0

Alpha Diversity

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

Signature 1

Needs review

Curated date: 2024/04/08

Curator: Rahila

Revision editor(s): Rahila

Source: FIG 2 (B)

Description: Microbial markers at the genus/species levels between control individuals and breast cancer patients. The potential microbial markers between Pre-C and Pre-BC.

Abundance in Group 1: increased abundance in premenopausal breast cancer patients (Pre-BC)

NCBI Quality ControlLinks
Haemophilus
Fusobacterium
Sutterella
Bacteroides
Haemophilus parainfluenzae
Ruminococcus bromii
Ruminococcus callidus
Leyella stercorea

Revision editor(s): Rahila

Signature 2

Needs review

Curated date: 2024/04/08

Curator: Rahila

Revision editor(s): Rahila

Source: FIG 2 (B)

Description: Microbial markers at the genus/species levels between control individuals and breast cancer patients. The potential microbial markers between Pre-C and Pre-BC.

Abundance in Group 1: decreased abundance in premenopausal breast cancer patients (Pre-BC)

NCBI Quality ControlLinks
Dialister
Streptococcus
Megasphaera
Coprococcus
Parabacteroides
Collinsella
Bifidobacterium
Mitsuokella
Akkermansia
Alistipes
Enterococcus
Rothia
Oxalobacter
Enterobacter
Collinsella aerofaciens
Bifidobacterium longum
Holdemanella biformis
Bifidobacterium adolescentis
Akkermansia muciniphila
Parabacteroides distasonis
Bifidobacterium bifidum
Alistipes indistinctus
Rothia mucilaginosa

Revision editor(s): Rahila

Experiment 2


Needs review

Curated date: 2024/04/08

Curator: Rahila

Revision editor(s): Rahila

Differences from previous experiment shown

Subjects

Group 0 name Corresponds to the control (unexposed) group for case-control studies
postmenopausal female controls (Post-C)
Group 1 name Corresponds to the case (exposed) group for case-control studies
postmenopausal breast cancer patients (Post-BC)
Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
Patients with postmenopausal breast cancer
Group 0 sample size Number of subjects in the control (unexposed) group
17

Lab analysis

Statistical Analysis

Signature 1

Needs review

Curated date: 2024/04/08

Curator: Rahila

Revision editor(s): Rahila

Source: FIG 2 (C)

Description: Microbial markers at the genus/species levels between control individuals and breast cancer patients. The potential microbial markers between Post-C and Post-BC.

Abundance in Group 1: increased abundance in postmenopausal breast cancer patients (Post-BC)

NCBI Quality ControlLinks
Actinomyces
Mitsuokella
Haemophilus
Sutterella
Mitsuokella multacida
Haemophilus parainfluenzae

Revision editor(s): Rahila

Signature 2

Needs review

Curated date: 2024/04/08

Curator: Rahila

Revision editor(s): Rahila

Source: FIG 2 (C)

Description: Microbial markers at the genus/species levels between control individuals and breast cancer patients. The potential microbial markers between Post-C and Post-BC.

Abundance in Group 1: decreased abundance in postmenopausal breast cancer patients (Post-BC)

NCBI Quality ControlLinks
Akkermansia
Phascolarctobacterium
Streptococcus
Ruminococcus
Bilophila
Alistipes
Oxalobacter
Eggerthella
Akkermansia muciniphila
Collinsella aerofaciens
Phocaeicola coprophilus
Parabacteroides distasonis
Holdemanella biformis
Oxalobacter formigenes
Alistipes massiliensis

Revision editor(s): Rahila