In silico analysis of the immunological landscape of pituitary adenomas.

ABSTRACT:

Purpose

Immunotherapy has gained traction in the treatment of solid tumors but the immunological landscape of pituitary adenomas is not well defined. We sought to investigate the immunological composition in pituitary adenomas using RNA deconvolution (CIBERSORTx) on an existing gene expression dataset for pituitary adenomas.

Methods

We applied an established computational approach (CIBERSORTx) on 134 pituitary adenomas from a previously published gene expression dataset to infer the proportions of 22 subsets of immune cells. We investigated associations between each immune cell type and tumor subtype.

Results

We found that the majority of infiltrating immune cells within pituitary adenomas were comprised of M2 macrophages followed by resting CD4⁺ memory T c

SUBMITTER: Yeung JT 

PROVIDER: S-EPMC7261241 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature