The mortality rate from cervical cancer (CESC), a malignant tumor that affects women, has
increased significantly globally in recent years. The discovery of biomarkers points to a …

Objective The aim of this study is to systematically analyze the transcriptional sequencing
data of cervical cancer (CC) to find an Tumor microenvironment (TME) prognostic marker to …

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

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 …

Cervical cancer is the second most commonly diagnosed type of cancer and the third
leading cause of cancer‑associated mortality in women. The current study aimed to …

Cervical cancer is the leading cause of death among women with cancer worldwide. Here,
we performed an integrative analysis of Illumina HumanMethylation450K and RNA-seq data …

Background Cervical cancer is the fourth most commonly diagnosed cancer in women
worldwide. The metastasis and invasion of this type of cancer are closely related to the …

Purpose The aim of this study was to explore the effective immune scoring method and mine
the novel and potential immune microenvironment-related diagnostic and prognostic …

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

In developing countries, cervical cancer is still the major cause of cancer-related death
among women. To better understand the correlation between tumor microenvironment …