Evaluation Of Gut Microbiome In In Chemotherapy Resistance Of Ovarian Cancer And Screening Of Potential Markers

Objective: Ovarian cancer is the disease with the highest malignant degree and lowest survival rate among gynecological tumors.Chemotherapy resistance is the main factor that affects the long-term treatment effect and overall survival rate of ovarian cancer patients.At present,the occurrence and development of intestinal microorganism and tumor have been paid more attention and research by researchers.In this study,16 S r RNA sequencing and machine learning were used to explore the relationship between gut microbiome and ovarian cancer chemotherapy response.Methods:Patients who were pathologically diagnosed with ovarian cancer in Shengjing Hospital of China Medical University,received satisfactory ovarian cancer cell reduction surgery from September 2017 to April 2018,and received first-line chemotherapy combined with platinum and paclitaxel.Fecal samples of patients were collected,and 16 S r RNA sequencing and machine learning were used to explore the differences of gut microbiome among patients with different chemotherapy responses,so as to establish a model for predicting ovarian cancer response to chemotherapy.Results: A total of 77 chemoresistant ovarian cancer patients and 97 chemosensitive patients were enrolled.The gut microbiota diversity was higher in ovarian cancer patients with chemotherapy resistance.There were statistically significant differences between the two groups in Shannon indexes(P <0.029)and Simpson indexes(P<0.035).The abundances of Firmicutes,Proteobacteria and Bacteroidetes were high in chemosensitive or chemoresistant ovarian cancer patients and Firmicutes was the most abundant phylum.Machine learning techniques can predict the chemoresistance of ovarian cancer,and the random forest showed the best performance among all models.The area under the receiver operating characteristic curve for random forest model was 0.909.Conclusions: The diversity of gut microbiota was higher in ovarian cancer patients with chemotherapy resistance.Further studies are needed to validate our findings based on machine learning techniques to verify the association between gut microbiome and chemotherapy resistance in ovarian cancer and its mechanisms.