The differential distribution of bacteria between cancerous and noncancerous ovarian tissues in situ
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Study information
-
Quality control
- Retracted paper
- Contamination issues suspected
- Batch effect issues suspected
- Uncontrolled confounding suspected
- Results are suspect (various reasons)
- Tags applied
Quality issues
study design
Citation
PMID PubMed identifier for scientific articles.
DOI Digital object identifier for electronic documents.
URI Uniform resource identifier for web resources.
Authors
Wang Q, Zhao L, Han L, Fu G, Tuo X, Ma S, Li Q, Wang Y, Liang D, Tang M, Sun C, Wang Q, Song Q, Li Q
Journal
Journal of ovarian research
Year
2020
BACKGROUND: With the improvement of bacterial detection, the theory of the sterile female upper reproductive tract has been frequently challenged in recent years. However, thus far, no researchers have used ovaries as study targets. METHODS: Six women who were diagnosed with ovarian cancer were included in the cancer group, and ten women who were diagnosed with a noncancerous ovarian condition (including three patients with uterine myoma and seven patients with uterine adenomyosis) were included in the control group. Immunohistochemistry staining using an antibacterial lipopolysaccharide (LPS) antibody was used to confirm the presence of bacteria in the ovarian tissues. In addition, 16S rRNA sequencing was used to compare the differences in the bacteria between ovarian cancer tissues and noncancerous ovarian tissues. BugBase and Phylogenetic Investigation of Communities by Reconstruction of Unobserved States (PICRUSt) were used to predict the functional composition of the bacteria. RESULTS: Bacterial LPS was present in ovarian cancer tissue and noncancerous ovarian tissue, which implied the presence of bacteria in ovarian tissue. When compared to the noncancerous ovarian bacteria at the phylum level, the cancerous ovarian bacteria were composed of increased Aquificae and Planctomycetes and decreased Crenarchaeota. When predicting metagenomes, gene functions associated with the potentially pathogenic and the oxidative stress-tolerant phenotype were enriched in the ovaries of the cancer group. Forty-six significantly different KEGG pathways existed in the ovarian bacteria of the cancer group compared to that of the control group. CONCLUSIONS: Different bacteria compositions were present in cancerous and noncancerous ovarian tissues. TRIAL REGISTRATION: Chines Clinical Trail Registry, CHiCTR1800020018, Registered 11 September 2018, http://www.chictr.org.cn/.
Experiment 1
Reviewed Marked as Reviewed by Lwaldron on 2023-2-26
Subjects
- Location of subjects
- China
- Host species Species from which microbiome was sampled (if applicable)
- Homo sapiens
- Body site Anatomical site where microbial samples were extracted from according to the Uber Anatomy Ontology
- Uterus Uterus
- Condition The experimental condition / phenotype studied according to the Experimental Factor Ontology
- ovarian cancer cancer of ovary,cancer of the ovary,malignant neoplasm of ovary,malignant neoplasm of the ovary,malignant ovarian neoplasm,malignant ovarian tumor,malignant ovary neoplasm,malignant tumor of ovary,malignant tumor of the ovary,malignant tumour of ovary,ovarian cancer,ovarian cancer, epithelial,ovarian malignant tumor,ovarian neoplasm,ovary cancer,ovary neoplasm,primary ovarian cancer,tumor of the ovary
- Group 0 name Corresponds to the control (unexposed) group for case-control studies
- controls
- Group 1 name Corresponds to the case (exposed) group for case-control studies
- ovarian cancer
- Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
- preliminary diagnosis of suspected ovarian cancer and undergoing laparotomy
- Group 0 sample size Number of subjects in the control (unexposed) group
- 10
- Group 1 sample size Number of subjects in the case (exposed) group
- 6
- Antibiotics exclusion Number of days without antibiotics usage (if applicable) and other antibiotics-related criteria used to exclude participants (if any)
- 2 months
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
- 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
- unchanged
- Chao1 Abundance-based estimator of species richness
- unchanged
- Simpson Estimator of species richness and species evenness: more weight on species evenness
- unchanged
Signature 1
Reviewed Marked as Reviewed by Lwaldron on 2022/12/23
Source: Figure 3, Table 2
Description: Differential relative abundance of taxa in ovarian communities between patients in cancer an control group. **NOTE**: many of these taxa do not live in humans, such as Thermaceae, Aquificae, Planctomycetes, Microbacteriaceae.
Abundance in Group 1: increased abundance in ovarian cancer
Revision editor(s): WikiWorks743, Lwaldron
Signature 2
Reviewed Marked as Reviewed by Lwaldron on 2022/12/23
Source: Figure 3, Table 2
Description: Differential relative abundance of taxa in ovarian communities between patients in cancer an control group
Abundance in Group 1: decreased abundance in ovarian cancer
| NCBI | Links |
|---|---|
| Thermoproteota | |
| Sphingobacteriia | |
| Halobacteriales | |
| Flavobacteriaceae | |
| Archaeoglobaceae | |
| Leptotrichiaceae | |
| Methanocorpusculaceae | |
| Geodermatophilaceae | |
| Paenibacillus ⚠ | |
| Haloferax |
Revision editor(s): WikiWorks743
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