Dynamics of Fecal Microbiota with and without Invasive Cervical Cancer and Its Application in Early Diagnosis

Abstract

The fecal microbiota is being increasingly implicated in the diagnosis of various diseases. However, evidence on changes in the fecal microbiota in invasive cervical cancer (ICC) remains scarce. Here, we aimed to investigate the fecal microbiota of our cohorts, develop a diagnostic model for predicting early ICC, and identify potential fecal microbiota-derived biomarkers using amplicon sequencing data. We obtained fecal samples from 29 healthy women (HC) and 17 women with clinically confirmed early ICC (CAN). Although Shannon’s diversity index was not reached at statistical significance, the Chao1 and Observed operational taxonomic units (OTUs) in fecal microbiota was significantly different between CAN and HC group. Furthermore, there were significant differences in the taxonomic profiles between HC and CAN; Prevotella was significantly more abundant in the CAN group and Clostridium in the HC group. Linear discriminant analysis effect size (LEfSe) analysis was applied to validate the taxonomic differences at the genus level. Furthermore, we identified a set of seven bacterial genera that were used to construct a machine learning (ML)-based classifier model to distinguish CAN from patients with HC. The model had high diagnostic utility (area under the curve [AUC] = 0.913) for predicting early ICC. Our study provides an initial step toward exploring the fecal microbiota and helps clinicians diagnose.

Integrated Analysis of Microbiome and Transcriptome Data Reveals the Interplay Between Commensal Bacteria and Fibrin Degradation in Endometrial Cancer

“…Recent studies have suggested a potential role of Prevotella as an intestinal pathobiont related to oral cancer ( Karpiński, 2019 ), colorectal cancer ( Flemer et al., 2017 ; Peng et al., 2020 ), and lung cancer ( Tsay et al., 2018 ). In particular, this genus has been recognized as a prominent gynecologic and obstetric pathogen positively associated with cervical lesions, including bacterial vaginosis ( Marconi et al., 2012 ), cervical intraepithelial neoplasia ( Mitra and MacIntyre, 2020 ), cervical cancer ( Kang et al., 2020 ), and intrauterine infections ( Knoester et al., 2011 ). Herein, it is interesting to note that Prevotella has an important role in the metabolism of proteins and peptides because many of the members within this genus are actively proteolytic and possess characteristic dipeptidyl peptidase activity ( Flint and H., 2014 ).…”

Alteration of the Soil Microbiota in Ginseng Rusty Roots: Application of Machine Learning Algorithm to Explore Potential Biomarkers for Diagnostic and Predictive Analytics

“…35,36 Ren et al 37 reported the successful prediction efficiency of early hepatocellular carcinoma in their cross-regional study. Kang et al 38 investigated fecal microbiota of female cohort and discovered potential biomarkers to predict invasive cervical cancer in their Korea cohort. Furthermore, Loomba et al 39 identified 40 bacterial species associated with nonalcoholic fatty liver disease in a cohort from the United States.…”

“…ML algorithms were recently widely applied to bioscience to find clues to solve living organisms’ complex interactions. , Prominent research on human subjects established microbiome applications to predict different clinical phenomena. , Ren et al reported the successful prediction efficiency of early hepatocellular carcinoma in their cross-regional study. Kang et al investigated fecal microbiota of female cohort and discovered potential biomarkers to predict invasive cervical cancer in their Korea cohort. Furthermore, Loomba et al identified 40 bacterial species associated with nonalcoholic fatty liver disease in a cohort from the United States.…”

The Effects and Mechanisms of Flavonoids on Cancer Prevention and Therapy: Focus on Gut Microbiota

“…Another study indicated that Dialister, Porphyromonas and Prevotella were enriched, whereas Alistipes, Bacteroides and Lachnospiracea showed a relatively low abundance in cancer group compared with the control group [93]. In a recent study, a higher level of Prevotella was found in patients with cervical cancer than in healthy controls [94]. It was presumed that gut microbiota influenced cervical cancer development possibly through activation of inflammatory responses, but this assumption remained to be validated.…”