Gut Microbiome Dysbiosis in Patients with Endometrial Cancer vs. Healthy Controls Based on 16S rRNA Gene Sequencing

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Reviewed Marked as Reviewed by KateRasheed on 2025-5-2
study design
Citation
PMID PubMed identifier for scientific articles.
DOI Digital object identifier for electronic documents.
URI Uniform resource identifier for web resources.
Authors
Li Y, Liu G, Gong R, Xi Y
Journal
Current microbiology
Year
2023
Metabolic diseases like obesity, diabetes, and hypertension are considered major risk factors associated with endometrial cancer. Considering that an imbalance in the gut microbiome may lead to metabolic alterations, we hypothesized that alteration in the gut microbioma might be an indirect factor in the development of endometrial cancer. Our aim was to profile the gut microbiota of patients with endometrial cancer compared with healthy controls in this study. Thus, we used 16S rRNA high-throughput gene sequencing on the Illumina NovaSeq platform to profile microbial communities. Fecal samples were collected from 33 endometrial cancer patients (EC group) and 32 healthy controls (N group) between February 2021 and July 2021. The total numbers of operational taxonomic units (OTUs) in the N and EC groups were 28,537 and 18,465, respectively, while the number of OTUs shared by the two groups was 4771. This study was the first to report that the alpha diversity of the gut microbiota was significantly reduced in endometrial cancer patients vs. healthy controls. Also, there was a significant difference in the distribution of microbiome between the two groups: the abundance of Firmicutes, Clostridia, Clostridiales, Ruminococcaceae, Faecalibacterium, and Gemmiger_formicis decreased, while that of Proteobacteria, Gammaproteobacteria, Enterobacteriales, Enterobacteriaceae and Shigella increased significantly in the EC group vs. healthy controls (all p < 0.05). The predominant intestinal microbiota of the endometrial cancer patients was Proteobacteria, Gammaproteobacteria, Enterobacteriales, Enterobacteriaceae, and Shigella. These results imply that adjusting the composition of the gut microbiota and maintaining microbiota homeostasis may be an effective strategy for preventing and treating endometrial cancer.

Experiment 1


Reviewed Marked as Reviewed by KateRasheed on 2025-5-2

Curated date: 2025/04/16

Curator: MyleeeA

Revision editor(s): MyleeeA, PreciousChijioke

Subjects

Location of subjects
China
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
Endometrial cancer cancer of endometrium,endometrial Ca,endometrial cancer,endometrial neoplasm,endometrium cancer,malignant endometrial neoplasm,malignant endometrium neoplasm,malignant neoplasm of endometrium,neoplasm of endometrium,primary malignant neoplasm of endometrium,tumor of endometrium,Endometrial cancer
Group 0 name Corresponds to the control (unexposed) group for case-control studies
Healthy controls (N)
Group 1 name Corresponds to the case (exposed) group for case-control studies
Endometrial Cancer (EC)
Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
Patients pathologically diagnosed with endometrial cancer (type I endometrial cancer) who received surgical treatment, and their histological type was endometrioid cancer.
Group 0 sample size Number of subjects in the control (unexposed) group
32
Group 1 sample size Number of subjects in the case (exposed) group
33
Antibiotics exclusion Number of days without antibiotics usage (if applicable) and other antibiotics-related criteria used to exclude participants (if any)
1 month

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
Mann-Whitney (Wilcoxon)
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)?
No

Alpha Diversity

Shannon Estimator of species richness and species evenness: more weight on species richness
decreased
Chao1 Abundance-based estimator of species richness
decreased
Simpson Estimator of species richness and species evenness: more weight on species evenness
decreased
Richness Number of species
decreased

Signature 1

Reviewed Marked as Reviewed by KateRasheed on 2025-5-2

Curated date: 2025/04/16

Curator: MyleeeA

Revision editor(s): MyleeeA

Source: Figure 4B

Description: Composition of the gut microbiota and the analysis of species differences at the phylum, class, order, family, genus and species levels between Endometrial cancer and Healthy Controls.

Abundance in Group 1: increased abundance in Endometrial Cancer (EC)

NCBI Quality ControlLinks
Enterobacterales
Enterobacteriaceae
Gammaproteobacteria
Pseudomonadota
Shigella

Revision editor(s): MyleeeA

Signature 2

Reviewed Marked as Reviewed by KateRasheed on 2025-5-2

Curated date: 2025/04/17

Curator: MyleeeA

Revision editor(s): MyleeeA

Source: Figure 4B

Description: Composition of the gut microbiota and the analysis of species differences at the phylum, class, order, family, genus and species levels between Endometrial cancer and Healthy Controls.

Abundance in Group 1: decreased abundance in Endometrial Cancer (EC)

NCBI Quality ControlLinks
Bacillota
Clostridia
Eubacteriales
Faecalibacterium
Faecalibacterium prausnitzii
Oscillospiraceae
Gemmiger formicilis

Revision editor(s): MyleeeA

Experiment 2


Reviewed Marked as Reviewed by KateRasheed on 2025-5-2

Curated date: 2025/04/18

Curator: PreciousChijioke

Revision editor(s): PreciousChijioke

Differences from previous experiment shown

Subjects

Lab analysis

Statistical Analysis

Statistical test
LEfSe
LDA Score above Threshold for the linear discriminant analysis (LDA) score for studies using the popular LEfSe tool
4

Alpha Diversity

Shannon Estimator of species richness and species evenness: more weight on species richness
decreased
Chao1 Abundance-based estimator of species richness
decreased
Simpson Estimator of species richness and species evenness: more weight on species evenness
decreased
Richness Number of species
decreased

Signature 1

Reviewed Marked as Reviewed by KateRasheed on 2025-5-2

Curated date: 2025/04/18

Curator: PreciousChijioke

Revision editor(s): PreciousChijioke

Source: Fig 5A - 5B

Description: LEfSe analysis of the gut microbiota between Healthy Controls and Endometrial Cancer.

Abundance in Group 1: increased abundance in Endometrial Cancer (EC)

NCBI Quality ControlLinks
Enterobacterales
Enterobacteriaceae
Gammaproteobacteria
Pseudomonadota
Shigella

Revision editor(s): PreciousChijioke

Signature 2

Reviewed Marked as Reviewed by KateRasheed on 2025-5-2

Curated date: 2025/04/18

Curator: PreciousChijioke

Revision editor(s): PreciousChijioke

Source: Fig 5A - 5B

Description: LEfSe analysis of the gut microbiota between Healthy Controls and Endometrial Cancer.

Abundance in Group 1: decreased abundance in Endometrial Cancer (EC)

NCBI Quality ControlLinks
Bacillota
Bacteroidales
Bacteroidia
Clostridia
Eubacteriales
Faecalibacterium
Gemmiger
Oscillospiraceae
Roseburia
Bacteroidota

Revision editor(s): PreciousChijioke