REVIEW article
Front. Med.
Sec. Translational Medicine
Volume 12 - 2025 | doi: 10.3389/fmed.2025.1629621
This article is part of the Research TopicThe Application of Multi-omics Analysis in Translational MedicineView all 8 articles
The evolution and application of multi-omic analysis for pituitary neuroendocrine tumors
Provisionally accepted- Washington University in St. Louis, St. Louis, United States
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Pituitary neuroendocrine tumors (PitNETs) are a heterogeneous group of intracranial neoplasms that vary in hormonal activity, histological features, and clinical behavior. The rise of high-throughput sequencing and molecular profiling technologies has enabled multiomic approaches-including genomics, transcriptomics, epigenomics, proteomics, and metabolomics-to deepen our understanding of PitNET pathogenesis. These studies have identified key mutations, transcriptional lineages, epigenetic modifications, and proteomic features that contribute to tumor subtype classification, invasiveness, and treatment response. Integrative multi-omic analyses have further revealed distinct molecular subtypes, complex regulatory networks, and molecular profiles that can predict recurrence and therapeutic efficacy. These approaches hold strong potential for advancing personalized medicine in PitNETs, supporting patient-specific diagnosis, prognostication, and therapeutic strategies. Future directions include the application of emerging -omic technologies and the development of robust computational tools to integrate and translate multi-layered data into clinically actionable insights.
Keywords: Pituitary, PitNET, multiomics, Molecular sequencing, Transcriptomics, Genomics, Epigenomics, Proteomics
Received: 16 May 2025; Accepted: 13 Aug 2025.
Copyright: © 2025 Pugazenthi, Pari, Zhang, Silverstein, Kim and Patel. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Bhuvic Patel, Washington University in St. Louis, St. Louis, United States
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