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Efficient Nucleic Acid Extraction and 16S rRNA Gene Sequencing for Bacterial Community Characterization
Published on: April 14, 2016
Exploring Cervical Cancer-Associated Vaginal and Cervical Microbiota via 16S rRNA Sequencing
Guojiao Wang1, Xiaotong Liu1, Zimo Wang1
1The Second Clinical Medical College of North Sichuan Medical College, Beijing Anzhen Nanchong Hospital of Capital Medical University & Nanchong Central Hospital of Obstetrics and Gynecology, Nanchong Sichuan, China.
Abstract:
Although the etiology of cervical cancer has been partially established, its pathogenesis remains a key research focus. Specific studies on the genital tract microbiota of cervical cancer patients in Southern China are still scarce. To address this research gap, the present study collected genital tract microbial samples from 16 cervical cancer patients and 16 healthy women. Analysis of cervical cancer-specific microbiota was conducted via 16S rRNA gene sequencing. The study included 32 women (16 cervical cancer patients and 16 healthy controls) aged 45-65 at enrollment. Total genome DNA from samples was extracted using the hexadecyltrimethylammonium bromide (CTAB) CTAB method. The vaginal and cervical microbiota composition was determined by sequencing barcoded 16S rDNA gene fragments (V3-V4), and a comparative bioinformatics analysis of the microbiome was performed. The study revealed a homogeneous microbial composition dominated by Lactobacillus in healthy women, whereas cervical cancer patients exhibited increased diversity with reduced Lactobacillus and enriched Prevotella. No significant differences were observed between sampling sites within each group. Functional predictions linked the cancer-associated microbiota to metabolic pathways and the AEROBACTIN-SYN-PWY pathway. In conclusion, our findings suggest that these specific key microbial taxa and their related metabolic pathways contribute to the pathogenesis of cervical cancer and may serve as promising targets for clinical treatment and intervention.
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