Utilising the solid tumour cancer microbiome to inform future pharmacological approaches

Abstract

Survival rates were ranged from 70 to 90 percent for women in the early phases of ovarian carcinoma, compared to 20 to 30 percent for those in the advanced stages. Due to the dramatic differences in these rates, one of the most crucial aspects of nowadays research is early problem identification. Understanding ovarian cancer-related terms is the first step in the research process. The Sequence Read Archive (SRA) is a member of the International Nucleotide Sequence Database Collaboration (INSDC), which also comprises the European Bioinformatics Institute (EBI) and the DNA Database of Japan (DDBJ). This project aimed to determine if existing, publicly available sequence read data can inform on microbial biomarkers associated with ovarian cancer. It was also planned to determine the number of publicly available NCBI SRA datasets originating from female reproductive sampling, catalog the microbial taxa associated with host sample type, and identify any connection between taxa and host health status. The investigation was conducted by retrieving data from the National Center for Biotechnology Information NCBI website, selecting the SRA, and collecting Homo sapiens records. These terms include "ovarian cancer", "vaginal cancer", "vaginal microbiome", and "reproductive tract microbiome". After collecting the data from NCBI, it was downloaded and opened in a Microsoft excel sheet to be analysed and presented in tables and graphs. The most 10 abundant bacterial spieces were in vaginal cancer were identified using the results from SRA. Numerous technical advantages can be concluded from this research, such as convenient access to data, the availability of data without equipment, and reduced animal experiments. Also, it can help in some scientific and medical aspects, such as understanding the types of bacteria causing vaginal cancer, determining risk factors, and dealing with vast amounts of data on bacteria and their types. These extensive data results are crucial for the future of vaginal cancer science and are the foundation for future research.