Preliminary study of HPV integration status on the occurrence and development of vaginal intraepithelial neoplasia.

Aim: The aim of this study was to investigate how the integration status of HPV in the vaginal epithelium affects the development of vaginal intraepithelial neoplasia (VaIN).

Methods: Twenty-four vaginal tissues were collected before applying high-throughput viral integration detection (HIVID), medical records of them were documented, including age, thin-prep cytologic test (TCT) and HPV test results, colposcopic biopsy pathology, and other clinical data, such as history of total hysterectomy for cervical lesions, whether they were infected with HPV16/18 with a follow-up span of 2 years. We summarized the distribution of HPV integration on the host chromosome and HPV type, as well as the hotspot integration gene and its role in the development of VaIN.

Construction of an Immune Cell Infiltration Score to Evaluate the Prognosis and Therapeutic Efficacy of Ovarian Cancer Patients.

Background: Ovarian cancer (OC) is an immunogenetic disease that contains tumor-infiltrating lymphocytes (TILs), and immunotherapy has become a novel treatment for OC. With the development of next-generation sequencing (NGS), profiles of gene expression and comprehensive landscape of immune cells can be applied to predict clinical outcome and response to immunotherapy.

Methods: We obtained data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases and applied two computational algorithms (CIBERSORT and ESTIMATE) for consensus clustering of immune cells.

MiRNA based tumor mutation burden diagnostic and prognostic prediction models for endometrial cancer.

Uterus Corpus Endometrial cancer (UCEC) is the sixth most common malignant tumor worldwide. In this research, we identified diagnostic and prognostic biomarkers to reflect patients' immune microenvironment and prognostic. Various data of UCEC patients from the TCGA database were obtained.

Low Expression of RILPL2 Predicts Poor Prognosis and Correlates With Immune Infiltration in Endometrial Carcinoma.

Increasing numbers of biomarkers have been identified in various cancers. However, biomarkers associated with endometrial carcinoma (EC) remain largely to be explored. In the current research, we downloaded the RNA-seq data and corresponding clinicopathological features from the Cancer Genome Atlas (TCGA) database.