The Vaginal Microbiome is Associated with Endometrial Cancer Grade and Histology Article Swipe
Hesamedin Hakimjavadi
,
Sophia George
,
Michael Taub
,
Leah V. Dodds
,
Alex P. Sanchez‐Covarrubias
,
Marilyn Huang
,
J. Matt Pearson
,
Brian M. Slomovitz
,
Erin N. Kobetz
,
Raad Z. Gharaibeh
,
Ramlogan Sowamber
,
André Pinto
,
Srikar Chamala
,
Matthew Schlumbrecht
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1158/2767-9764.crc-22-0075
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1158/2767-9764.crc-22-0075
The human microbiome has been strongly correlated with disease pathology and outcomes, yet remains relatively underexplored in patients with malignant endometrial disease. In this study, vaginal microbiome samples were prospectively collected at the time of hysterectomy from 61 racially and ethnically diverse patients from three disease conditions: (i) benign gynecologic disease (controls, n = 11), (ii) low-grade endometrial carcinoma (n = 30), and (iii) high-grade endometrial carcinoma (n = 20). Extracted DNA underwent shotgun metagenomics sequencing, and microbial α and β diversities were calculated. Hierarchical clustering was used to describe community state types (CST), which were then compared by microbial diversity and grade. Differential abundance was calculated, and machine learning utilized to assess the predictive value of bacterial abundance to distinguish grade and histology. Both α- and β-diversity were associated with patient tumor grade. Four vaginal CST were identified that associated with grade of disease. Different histologies also demonstrated variation in CST within tumor grades. Using supervised clustering algorithms, critical microbiome markers at the species level were used to build models that predicted benign versus carcinoma, high-grade carcinoma versus benign, and high-grade versus low-grade carcinoma with high accuracy. These results confirm that the vaginal microbiome segregates not just benign disease from endometrial cancer, but is predictive of histology and grade. Further characterization of these findings in large, prospective studies is needed to elucidate their potential clinical applications. Significance: The vaginal microbiome reliably segregates not just benign gynecologic condition from endometrial cancer, but also predicts cancer grade and histology. Patterns of microbial abundance and gene expression should be increasingly considered as a factor in the evolution of precision medicine approaches, especially as they relate to cancer screening, disease pathogenesis, and patient-centered outcomes.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1158/2767-9764.crc-22-0075
- https://aacrjournals.org/cancerrescommun/article-pdf/2/6/447/3161733/crc-22-0075.pdf
- OA Status
- gold
- Cited By
- 31
- References
- 40
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4281480293
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4281480293Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1158/2767-9764.crc-22-0075Digital Object Identifier
- Title
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The Vaginal Microbiome is Associated with Endometrial Cancer Grade and HistologyWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
-
2022-05-25Full publication date if available
- Authors
-
Hesamedin Hakimjavadi, Sophia George, Michael Taub, Leah V. Dodds, Alex P. Sanchez‐Covarrubias, Marilyn Huang, J. Matt Pearson, Brian M. Slomovitz, Erin N. Kobetz, Raad Z. Gharaibeh, Ramlogan Sowamber, André Pinto, Srikar Chamala, Matthew SchlumbrechtList of authors in order
- Landing page
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https://doi.org/10.1158/2767-9764.crc-22-0075Publisher landing page
- PDF URL
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https://aacrjournals.org/cancerrescommun/article-pdf/2/6/447/3161733/crc-22-0075.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
- OA URL
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https://aacrjournals.org/cancerrescommun/article-pdf/2/6/447/3161733/crc-22-0075.pdfDirect OA link when available
- Concepts
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Histology, Endometrial cancer, Microbiome, Cancer, Medicine, Gynecology, Biology, Internal medicine, BioinformaticsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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31Total citation count in OpenAlex
- Citations by year (recent)
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2025: 15, 2024: 8, 2023: 5, 2022: 3Per-year citation counts (last 5 years)
- References (count)
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40Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| corresponding_author_ids | https://openalex.org/A5083348008, https://openalex.org/A5043041208 |
| countries_distinct_count | 1 |
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| corresponding_institution_ids | https://openalex.org/I1336910626, https://openalex.org/I145608581, https://openalex.org/I4210157065 |
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| citation_normalized_percentile.is_in_top_10_percent | True |