The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
Potential contribution of the uterine microbiome in the development of endometrial cancer
Open accessAbstract
BACKGROUND: Endometrial cancer studies have led to a number of well-defined but mechanistically unconnected genetic and environmental risk factors. One of the emerging modulators between environmental triggers and genetic expression is the microbiome. We set out to inquire about the composition of the uterine microbiome and its putative role in endometrial cancer. METHODS: We undertook a study of the microbiome in samples taken from different locations along the female reproductive tract in patients with endometrial cancer (n = 17), patients with endometrial hyperplasia (endometrial cancer precursor, n = 4), and patients afflicted with benign uterine conditions (n = 10). Vaginal, cervical, Fallopian, ovarian, peritoneal, and urine samples were collected aseptically both in the operating room and the pathology laboratory. DNA extraction was followed by amplification and high-throughput next generation sequencing (MiSeq) of the 16S rDNA V3-V5 region to identify the microbiota present. Microbiota data were summarized using both α-diversity to reflect species richness and evenness within bacterial populations and β-diversity to reflect the shared diversity between bacterial populations. Statistical significance was determined through the use of multiple testing, including the generalized mixed-effects model. RESULTS: The microbiome sequencing (16S rDNA V3-V5 region) revealed that the microbiomes of all organs (vagina, cervix, Fallopian tubes, and ovaries) are significantly correlated (p < 0.001) and that there is a structural microbiome shift in the cancer and hyperplasia cases, distinguishable from the benign cases (p = 0.01). Several taxa were found to be significantly enriched in samples belonging to the endometrial cancer cohort: Firmicutes (Anaerostipes, ph2, Dialister, Peptoniphilus, 1-68, Ruminococcus, and Anaerotruncus), Spirochaetes (Treponema), Actinobacteria (Atopobium), Bacteroidetes (Bacteroides and Porphyromonas), and Proteobacteria (Arthrospira). Of particular relevance, the simultaneous presence of Atopobium vaginae and an uncultured representative of the Porphyromonas sp. (99 % match to P. somerae) were found to be associated with disease status, especially if combined with a high vaginal pH (>4.5). CONCLUSIONS: Our results suggest that the detection of A. vaginae and the identified Porphyromonas sp. in the gynecologic tract combined with a high vaginal pH is statistically associated with the presence of endometrial cancer. Given the documented association of the identified microorganisms with other pathologies, these findings raise the possibility of a microbiome role in the manifestation, etiology, or progression of endometrial cancer that should be further investigated.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Harris, P. A., Taylor, R., Thielke, R., Payne, J., Gonzalez, N., & Conde, J. G. (2009) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2008.08.010 · Cited by 51,384
QIIME allows analysis of high-throughput community sequencing data
Caporaso, J. G., Kuczynski, J., Stombaugh, J., Bittinger, K., Bushman, F. D., Costello, E. K., Fierer, N., Peña, A. G., Goodrich, J. K., Gordon, J. I., et al. (2010) · Nature Methods · doi:10.1038/nmeth.f.303 · Cited by 34,887
Vaginal microbiome of reproductive-age women
Ravel, J., Gajer, P., Abdo, Z., Schneider, G. M., Koenig, S. S. K., McCulle, S. L., Karlebach, S., Gorle, R., Russell, J., Tacket, C. O., et al. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1002611107 · Cited by 4,254
FITTING MULTIVARIATE MODELS TO COMMUNITY DATA: A COMMENT ON DISTANCE-BASED REDUNDANCY ANALYSIS
McArdle, B. H., & Anderson, M. J. (2001) · Ecology · doi:10.1890/0012-9658(2001)082[0290:fmmtcd]2.0.co;2 · Cited by 4,001
Genomic analysis identifies association of Fusobacterium with colorectal carcinoma
Kostic, A. D., Gevers, D., Pedamallu, C. S., Michaud, M., Duke, F., Earl, A. M., Ojesina, A. I., Jung, J., Bass, A. J., Tabernero, J., et al. (2012) · Genome Research · doi:10.1101/gr.126573.111 · Cited by 1,960
Helicobacter pylori Infection and Gastric Carcinoma among Japanese Americans in Hawaii
Nomura, A., Stemmermann, G. N., Chyou, P.-H., Kato, I., Perez-Perez, G. I., & Blaser, M. J. (1991) · New England Journal of Medicine · doi:10.1056/nejm199110173251604 · Cited by 1,762
Associating microbiome composition with environmental covariates using generalized UniFrac distances
Chen, J., Bittinger, K., Charlson, E. S., Hoffmann, C., Lewis, J., Wu, G. D., Collman, R. G., Bushman, F. D., & Li, H. (2012) · Bioinformatics · doi:10.1093/bioinformatics/bts342 · Cited by 1,145
Self-citationHuman Gut Microbiome and Risk for Colorectal Cancer
Ahn, J., Sinha, R., Pei, Z., Dominianni, C., Wu, J., Shi, J., Goedert, J. J., Hayes, R. B., & Yang, L. (2013) · JNCI: Journal of the National Cancer Institute · doi:10.1093/jnci/djt300 · Cited by 947
Ovarian cancer and hormone replacement therapy in the Million Women Study
Beral, V. (2007) · The Lancet · doi:10.1016/s0140-6736(07)60534-0 · Cited by 937
The Human Microbiome during Bacterial Vaginosis
Onderdonk, A. B., Delaney, M. L., & Fichorova, R. N. (2016) · Clinical Microbiology Reviews · doi:10.1128/cmr.00075-15 · Cited by 681
Cited by
Milani, C., Duranti, S., Bottacini, F., Casey, E., Turroni, F., Mahony, J., Belzer, C., Delgado Palacio, S., Arboleya Montes, S., Mancabelli, L., et al. (2017) · Microbiology and Molecular Biology Reviews · doi:10.1128/mmbr.00036-17 · Cited by 1,950
Menstruation: science and society
Critchley, H. O. D., Babayev, E., Bulun, S. E., Clark, S., Garcia-Grau, I., Gregersen, P. K., Kilcoyne, A., Kim, J.-Y. J., Lavender, M., Marsh, E. E., et al. (2020) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2020.06.004 · Cited by 448
Endometrial microbiota composition is associated with reproductive outcome in infertile patients
Moreno, I., Garcia-Grau, I., Perez-Villaroya, D., Gonzalez-Monfort, M., Bahçeci, M., Barrionuevo, M. J., Taguchi, S., Puente, E., Dimattina, M., Lim, M. W., et al. (2022) · Microbiome · doi:10.1186/s40168-021-01184-w · Cited by 325
Łaniewski, P., Barnes, D., Goulder, A., Cui, H., Roe, D. J., Chase, D. M., & Herbst-Kralovetz, M. M. (2018) · Scientific Reports · doi:10.1038/s41598-018-25879-7 · Cited by 282
Wessels, J. M., Felker, A. M., Dupont, H. A., & Kaushic, C. (2018) · Disease Models & Mechanisms · doi:10.1242/dmm.035147 · Cited by 102
Metadata
- Authors
- Walther-António, M. R. S., Chen, J., Multinu, F., Hokenstad, A., Distad, T. J., Cheek, E. H., Keeney, G. L., Creedon, D. J., Nelson, H., Mariani, A., & Chia, N.
- Venue
- Genome Medicine
- Published
- 2016-11-25
- Volume
- 8
- Issue
- 1
- Pages
- 122-122
- ISSN
- 1756-994X (ISSN-L)
- OpenAlex
- W2555461010
- Cited by
- 386
- References
- 32
- FWCI
- 14.99
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Potential contribution of the uterine microbiome in the development of endometrial cancer. https://app.cochat.ai/papers/10.1186/s13073-016-0368-y
- The paper
- Walther-António, M. R. S., Chen, J., Multinu, F., Hokenstad, A., Distad, T. J., Cheek, E. H., Keeney, G. L., Creedon, D. J., Nelson, H., Mariani, A., & Chia, N. (2016). Potential contribution of the uterine microbiome in the development of endometrial cancer. Genome Medicine. https://doi.org/10.1186/s13073-016-0368-y
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.