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

Abstract

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.

Document Details

Document Type
Pub Defense Publication
Publication Date
Feb 25, 2021
Source ID
10.1093/neuonc/noab044

Entities

People

  • Abir Mukherjee
  • Ana C. Decarvalho
  • Ana Valeria Castro
  • Felipe Segato Dezem
  • Houtan Noushmehr
  • Jack Rock
  • James Snyder
  • Karam P Asmaro
  • Laila M. Poisson
  • Margaret Castro
  • Maritza S Mosella
  • Michael Wells
  • Paula C Elias
  • Sonir R Antonini
  • Steven Kalkanis
  • Tathiane M. Malta
  • Thais S Sabedot
  • Tiago C Silva
  • Tobias Walbert
  • Todd Aho

Organizations

  • Henry Ford Health
  • National Institutes of Health
  • São Paulo Research Foundation
  • United States Department of Defense
  • University of São Paulo

Tags

Fields of Study

  • Biology

Readers

  • Molecular and genetic basis of cancer.
  • Neural Network Machine Learning.
  • Oncology (Cancer Research).