DNA methylation-based signatures classify sporadic pituitary tumors according to clinicopathological features.

ABSTRACT:

Background

Distinct genome-wide methylation patterns cluster pituitary neuroendocrine tumors (PitNETs) into molecular groups associated with specific clinicopathological features. Here we aim to identify, characterize, and validate methylation signatures that objectively classify PitNET into clinicopathological groups.

Methods

Combining in-house and publicly available data, we conducted an analysis of the methylome profile of a comprehensive cohort of 177 tumors (Panpit cohort) and 20 nontumor specimens from the pituitary gland. We also retrieved methylome data from an independent PitNET cohort (N = 86) to validate our findings.

Results

We identified three methylation clusters associated with adenohypophyseal cell lineages and functional status using an unsupervised a

SUBMITTER: Mosella MS 

PROVIDER: S-EPMC8328022 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature