Identification of biomarker and HPV strain for Cervical Cancer from pre-existing RNAseq data

Abstract

Human papillomavirus (HPV) increased the risk of afflicting cervical cancer. Among over a hundred strains, HPV-16 and HPV-18 caused 70% of cervical cancers and precancerous cervical lesions (WHO 2018). To reveal the profile of HPV strains, HPViewer is designed by Hao et al. (2018) for metagenomic or human genomic shotgun sequencing data analysis. The application of HPViewer in detecting HPV strains in RNA sequencing data was assessed and results were communicated in the table. The performance of HPViewer in analyzing RNA sequencing data from multiple sources, demonstrated the potential of enlarging the application of HPViewer to RNA sequencing data. Furthermore, we attempted to verify the capability of a potential biomarker p16INK4a in detecting cervical cancer from precancerous lesions. Considering the protein nature of this biomarker, the experiment was designed to detect the differentially expressed gene, associating with this protein function group, in RNA-seq data from two articles. Compare to the findings from Royse et al. (2014), confirmatory result was reproduced that comparisons between both groups yielded insignificant outcome. Since data from single article was insufficient to provide meaningful clue, final dataset was collected from multiple sources. The results were compromised by batch effect, but they supported p16INK4a to be a prospective biomarker for cervical cancer diagnosis.