Skip to main content
. 2020 Sep 14;4(2):72–78. doi: 10.36401/JIPO-20-17

Table 1.

Summary of articles discussing the microbiome and HPV gynecologic cancer

Author
Participants
Microbial Analysis
Key Bacterial Organisms
Comments
Studies on the Cervicovaginal Microbiome and CIN
Guijon et al26 CIN positive (n = 106) Control (n = 79) Culture, gram staining Mycoplasma hominis HPV, abnormal vaginal flora, and M. hominis, significantly associated with CIN.
Piyathilake et al34 CIN3 (n = 132) CIN2 (n = 208) CIN1 (n = 90) V4 16S rRNA Lactobacillus iners α-and β-diversity was not significantly associated with disease status. L. iners abundance was associated with increased disease severity.
Klein et al35 LSIL (n = 72) HSIL (n = 50) Control (n = 23) V4 16S rRNA Mycoplasmatales, Pseudomonadales, Fusobacteria, Staphylococcus Increased α-diversity was associated with HSIL and HPV. Brush samples from HSIL patients revealed unique associations with Mycoplasmatales, Pseudomonadales, and Staphylococcus.
Studies on the Cervicovaginal Microbiome, CIN, and Cervical Cancer
Mitra et al33 LSIL (n = 52) HSIL (n = 92) CC (n = 5) Control (n = 20) V1-V2 16S rRNA Lactobacillus spp., Lactobacillus crispatus, Sneathia sanguinegens Lactobacillus depletion, high diversity and species richness was associated with increasing disease severity and high-risk HPV positivity.
Mitra et al32 CIN2 (n = 87) V1-V2 16S rRNA Lactobacillus spp., Megasphaera, Prevotella timonensis, Gardnerella vaginalis Lactobacillus-dominant microbiome at baseline is more likely to have regression of CIN2 at 12 months. Lactobacillus spp. depletion and presence of specific anaerobic taxa including Megasphaera, Prevotella timonensis, and Gardnerella vaginalis are associated with CIN2 persistence and slower regression.
Audirac-Chalifour et al37 HPV− control (n = 10) HPV+ control (n = 10) SIL HPV+ (n = 4) CC HPV+ (n = 8) V3-V4 16S rRNA Lactobacillus iners, Sneathia spp., Fusobacterium spp. Increased α-diversity in CC and SIL with unique β-diversities at every stage of CC. All four study groups were dominated by a single distinct population of bacteria: L. crispatus, L. iners, Sneathia spp., and Fusobacterium spp. were dominant in HPV-negative samples, HPV-positive samples, SIL samples, and CC samples, respectively.
Łaniewski et al36 Control (n = 51) LSIL (n = 12) HSIL (n = 27) CC (n = 10) V4 16S rRNA Lactobacillus spp., Sneathia spp. Decreased abundance of Lactobacillus spp. and increased microbiome diversity was associated with increasing severity of cervical neoplasm and CC.
Kwon et al45 CIN (n = 17) CC (n = 12) Control (n = 18) Whole-genome sequencing Alkaliphilus, Pseudothermotoga, Wolbachia, Lactobacillus, Staphylococcus, Candidatus Endolissoclinum Diversity was not significantly associated with disease status. CC and CIN were each significantly enriched with bacteria unique to the other disease status.
Studies on the Gut (Fecal) Microbiome and Cervical Cancer
Wang et al50 ICC (n = 8) Control (n = 5) V4 16S rRNA Proteobacteria, Parabacteroides, Escherichia-Shigella, Roseburia Increased α-diversity (NS) and differing β-diversity of gut microbiome in CC versus control. Seven genera differentiated significantly in relative abundance between CC and controls.
Sims et al51 ICC (n = 42) Control (n = 46) V4 16S rRNA Prevotella, Porphyromonas, Dialister Increased α-diversity and differing β-diversity in CC versus control. CC patients exhibited significantly enriched Prevotella, Porphyromonas, and Dialister when compared to age, race, and BMI-matched controls.

CC: cervical cancer; HSIL: high-grade squamous intraepithelial lesion; ICC: invasive cervical cancer; LSIL: low-grade squamous intraepithelial lesion; SIL: squamous intraepithelial lesion.