The feature of cervical microbiota associated with the progression of cervical cancer among reproductive females

The aim of this study was to characterize cervical microbiome feature of reproductive-age women in the progression of squamous intraepithelial lesions (SIL) to cervical cancer. We characterized the 16S rDNA cervical mucus microbiome in 94 participants (age from 18 to 52), including 13 cervical cance...

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Bibliographic Details
Published in:Gynecologic oncology 2021-11, Vol.163 (2), p.348-357
Main Authors: Wu, Sikao, Ding, Xuewen, Kong, Ying, Acharya, Sanam, Wu, Huaqian, Huang, Chunning, Liang, Yuanyuan, Nong, Xianxian, Chen, Hong
Format: Article
Language:English
Subjects:
16S rRNA
Adult
Campylobacter - genetics
Campylobacter - isolation & purification
Case-Control Studies
Cervical cancer
Cervical microbiota
Cervix Uteri - microbiology
Cervix Uteri - pathology
Disease Progression
DNA, Bacterial - isolation & purification
Female
Gynecologic cancer
Healthy Volunteers
Human papillomaviruses
Humans
Lactobacillus - genetics
Lactobacillus - isolation & purification
Microbiome
Microbiota - genetics
Middle Aged
Phylogeny
Porphyromonas - genetics
Porphyromonas - isolation & purification
Prevotella - genetics
Prevotella - isolation & purification
RNA, Ribosomal, 16S - genetics
Squamous Intraepithelial Lesions of the Cervix - diagnosis
Squamous Intraepithelial Lesions of the Cervix - microbiology
Squamous Intraepithelial Lesions of the Cervix - pathology
Uterine Cervical Neoplasms - diagnosis
Uterine Cervical Neoplasms - microbiology
Uterine Cervical Neoplasms - pathology
Young Adult
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Summary:The aim of this study was to characterize cervical microbiome feature of reproductive-age women in the progression of squamous intraepithelial lesions (SIL) to cervical cancer. We characterized the 16S rDNA cervical mucus microbiome in 94 participants (age from 18 to 52), including 13 cervical cancer (CA), 31 high-grade SIL (HSIL), 10 low-grade SIL (LSIL), 12 HPV-infected (NH) patients and 28 healthy controls (NN). Alpha (within sample) diversity was examined by Shannon and Simpson index, while Beta (between sample) diversity by principle coordinate analysis (PCoA) of weighted Unifrac distances. Relative abundance of microbial taxa was compared using Linear Discriminant Analysis Effect Size (LEfSe). Co-occurrence analysis was performed to identify correlation among marker genera, and Phylogenetic investigation of communities by reconstruction of unobserved states (PICRUSt) to explore functional features and pathways of cervical microbiota. Alpha diversity(p 
ISSN:0090-8258
1095-6859
DOI:10.1016/j.ygyno.2021.08.016