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- Title
The Diversity of Vaginal Microbiota Predicts Neoadjuvant Chemotherapy Responsiveness in Locally Advanced Cervical Cancer.
- Authors
Wang, Zizhuo; Xiao, Rourou; Huang, Jia; Qin, Xu; Hu, Dianxing; Guo, Ensong; Liu, Chen; Lu, Funian; You, Lixin; Sun, Chaoyang; Chen, Gang
- Abstract
The vaginal microbiota is closely related to HPV infection and cervical cancer (CC), but its relationship with platinum-based chemotherapy responsiveness is unknown. The study aimed to investigate the vaginal microbiota diversity of women with locally advanced cervical cancer (LACC) and compare the differences between responders and nonresponders. We characterized the 16S rRNA gene sequencing of vaginal microbiome of 66 vaginal samples, including 26 LACC patients before neoadjuvant chemotherapy and 40 healthy controls. Compared with the healthy controls, alpha diversity was significantly increased in CC patients (p <0.05) with more unconventionality bacterial colonization. Beta diversity also significantly differed between cervical cancer patients and controls (p <0.01). Within the CC patients, alpha diversity in vaginal samples was significantly higher in the nonresponders versus the responders (p <0.01), and the Ace index and Chao index were negatively correlated with mass reduction (p <0.001). Moreover, the Bacteroides genus enriched in the nonresponders had a ROC-plot AUC value reaching 0.84. The study suggests the vaginal microbiota in LACC patients is associated with platinum-based chemotherapy responsiveness. Alpha diversity and Bacteroides abundance have the potential of identifying platinum-resistant patients at an early time. These findings provide a basis for further research on the relationship between vaginal microbiome and chemotherapy effect in LACC.
- Subjects
NEOADJUVANT chemotherapy; CERVICAL cancer; MISOPROSTOL; HUMAN microbiota; PAPILLOMAVIRUSES; BACTERIAL colonies; CANCER patients
- Publication
Microbial Ecology, 2022, Vol 84, Issue 1, p302
- ISSN
0095-3628
- Publication type
Article
- DOI
10.1007/s00248-021-01800-0