Identification of a gene score related to antigen processing and presentation machinery for predicting prognosis in head and neck squamous cell carcinoma and its potential implications for immunotherapy.

Background: Despite its crucial role in immune surveillance and cell survival of tumors, the significance of MHC antigen processing and presentation machinery (APM) is still not fully understood in head and neck squamous cell carcinoma (HNSCC). We sought to develop an APM gene score (APMGS) to predict prognosis and reveal the molecular and immune traits of the APMGS-defined subgroups in HNSCC.

Methods: Based on the APM-related genes acquired from 6 databases, 117 combined machine learning algorithms were applied to develop APMGS with The Cancer Genome Atlas (TCGA)-HNSCC database and validated with the Gene Expression Omnibus (GEO) dataset.

Prevalence and genotypes of human papilloma virus infection in CIN3 in Beijing, China.

Background: To investigate the incidence of single and multiple human papillomavirus (HR-HPV) infection in CIN3 patients before operation.

Methods: The complete clinical data of patients with CIN3 by biopsy were collected. HPV23 typing in the first 3 months of the treatment was detected.