Document Type
Article
Publication Date
3-4-2022
Abstract
Pituitary adenomas (PA), or pituitary neuroendocrine tumors (PitNETs), represent 15% of all central nervous system tumors. Classic description of PitNETs solely by hormonal classification has given way to key transcription factors that play a role in the pathology of PitNETs including steroidogenic factor-1 (SF-1), t-box pituitary transcription factor (TPIT), and pituitary transcription factor 1 (PIT-1). Germline mutations in various familial PitNETs are discussed including those in familial isolated pituitary adenoma (FIPA), multiple endocrine neoplasia (MEN), neurofibromatosis 1 (NF1), and Carney complex. Recent advances in next generation sequencing have improved insight into the pathogenesis of PitNETs. A review of key studies in evaluating the genomic analysis of PitNETs was performed. Chromosomal mutations, whole exome sequencing, microRNA genomics, methylomics and transcriptomics were analyzed. Moreover, the multiomic analysis of various genomic panels has helped to better understand PA classification.
Recommended Citation
Mouchtouris, Nikolaos; Smit, Rupert D; Piper, Keenan; Prashant, Giyarpuram; Evans, James J.; and Karsy, Michael, "A review of multiomics platforms in pituitary adenoma pathogenesis" (2022). Department of Neurosurgery Faculty Papers. Paper 183.
https://jdc.jefferson.edu/neurosurgeryfp/183
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
PubMed ID
35345309
Language
English
Comments
This article is the author’s final published version in Frontiers in bioscience (Landmark edition), Volume 27, Issue 3, March 2022, Pages 77.
The published version is available at https://doi.org/10.31083/j.fbl2703077. Copyright © Mouchtouris et al.