Integrative analysis of H&E and IHC identifies prognostic immune subtypes in HPV related oropharyngeal cancer.

ABSTRACT:

Background

Deep learning techniques excel at identifying tumor-infiltrating lymphocytes (TILs) and immune phenotypes in hematoxylin and eosin (H&E)-stained slides. However, their ability to elucidate detailed functional characteristics of diverse cellular phenotypes within tumor immune microenvironment (TME) is limited. We aimed to enhance our understanding of cellular composition and functional characteristics across TME regions and improve patient stratification by integrating H&E with adjacent immunohistochemistry (IHC) images.

Methods

A retrospective study was conducted on patients with Human Papillomavirus-positive oropharyngeal squamous cell carcinoma (OPSCC). Using paired H&E and IHC slides for 11 proteins, a deep learning pipeline was used to quantify tumor, stroma,

SUBMITTER: Nakkireddy SR 

PROVIDER: S-EPMC11450009 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature