Cervical cancer is one of the leading female health‐killers among all types of malignancies
globally. Human papillomavirus infection combined with genetic and epigenetic alterations …

Background DNA-methylation-based machine learning algorithms have demonstrated
powerful diagnostic capabilities, and these tools are currently emerging in many fields of …

The demographic information and overall survival (OS) of patients with cervical cancer
(CC)(pathological stage: IA–IIA) were extracted from the TCGA database. A univariate and …

Purpose Cervical cancer (CC) patients usually have poor prognosis. The present study aims
to find a DNA methylation signature for predicting survival of CC patients. Methods We …

Human papillomavirus (HPV) is a clear etiology of cervical cancer (CC). However, the
associations between HPV infection and DNA methylation have not been thoroughly …

Herein, A non-invasive pathomics approach was developed to reveal the methylation status
in patients with cervical squamous cell carcinoma and predict clinical outcomes and …

Cancer of the uterine cervix is caused by a subset of oncogenic human Papillomavirus
(HPV)-types with mucosal tropism. Besides the known effects of the viral oncoproteins on …

Multicomponent molecular modifications such as DNA methylation may offer sensitive and
specific cervical intraepithelial neoplasia and cervical cancer biomarkers. In this study, we …

Background: Tumor microenvironment (TME) has been reported to have a strong
association with tumor progression and therapeutic outcome, and epigenetic modifications …

The oncogenic human papilloma viruses (HPVs) are associated with precancerous cervical
lesions and development of cervical cancer. The DNA methylation signatures of the host …