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Altered cervicovaginal microbiota in premenopausal ovarian cancer patients.
- Source :
-
Gene [Gene] 2022 Feb 15; Vol. 811, pp. 146083. Date of Electronic Publication: 2021 Nov 29. - Publication Year :
- 2022
-
Abstract
- Nearly three hundred thousand female patients are diagnosed with ovarian cancer in the world annually, and this number shows an increasing trend. However, characteristic symptoms caused by ovarian cancer are so few that early diagnosis remains challenging, and an effective screening method has not yet been established. Here, we conducted a case-control study in Japan to analyze the association between cervicovaginal microbiome and ovarian cancer, using 16S rRNA amplicon sequencing. Analysis of DNA extracted from cervical smear samples revealed Lactobacillus-dominant and Lactobacillus-deficient, highly-diversified bacterial communities in premenopausal and postmenopausal healthy controls, respectively, as reported for vaginal microbiota previously. We found that cervicovaginal microbiota in ovarian cancer patients, regardless of their menopausal status, were frequently a diversified community and similar to those in healthy subjects at postmenopausal ages. The diverse microbiota was associated with the major histotypes of epithelial ovarian cancer, including serous ovarian cancer and ovarian clear cell cancer. The present study implies the potential of a cervicovaginal microbiome biomarker in screening ovarian cancer in premenopausal women.<br /> (Copyright © 2021. Published by Elsevier B.V.)
- Subjects :
- Adult
Aged
Aged, 80 and over
Bacterial Typing Techniques methods
Biomarkers
Case-Control Studies
DNA, Bacterial
Female
Humans
Japan
Lactobacillus classification
Lactobacillus genetics
Metagenome
Middle Aged
Postmenopause
Premenopause
RNA, Ribosomal, 16S
Young Adult
Carcinoma, Ovarian Epithelial microbiology
Cervix Uteri microbiology
Microbiota
Ovarian Neoplasms microbiology
Vagina microbiology
Subjects
Details
- Language :
- English
- ISSN :
- 1879-0038
- Volume :
- 811
- Database :
- MEDLINE
- Journal :
- Gene
- Publication Type :
- Academic Journal
- Accession number :
- 34856363
- Full Text :
- https://doi.org/10.1016/j.gene.2021.146083