Differential gene expression and pathway analysis in growth hormone-secreting pituitary tumors according to granulation pattern

Kyungwon Kim, Yeongmin Kim, Se Hoon Kim, Ju Hyung Moon, Eui Hyun Kim, Eun Jig Lee, Chang Myung Oh, Cheol Ryong Ku

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

This study investigated differential gene expression between granulation patterns in growth hormone (GH)-secreting pituitary tumors, aiming to elucidate novel transcriptomes that explain clinical variances in patients with acromegaly. Transcriptome analysis was conducted on 6 normal pituitary tissues and 15 GH-secreting pituitary tumors, including 9 densely granulated somatotroph tumors (DGSTs) and 6 sparsely granulated somatotroph tumors (SGSTs). We identified 3111 differentially expressed genes (DEGs) in tumors compared to normal pituitaries, with 1117 DEGs unique to a specific granulation within tumors. SGST showed enrichment of neuronal development and acute inflammatory response pathways, along with a significant enhancement of JAK–STAT, phosphatidylinositol 3-kinase, and MAPK signaling. The results suggest that granulation-specific gene expression may underpin diverse clinical presentations in acromegaly, highlighting the potential for further investigation into these transcriptomic variations and their roles in disease pathology, particularly the involvement of genes linked to neuronal development, inflammatory response, and JAK–STAT signaling in SGST.

Original languageEnglish
Article number1423606
JournalFrontiers in Oncology
Volume14
DOIs
Publication statusPublished - 2024

Bibliographical note

Publisher Copyright:
Copyright © 2024 Kim, Kim, Kim, Moon, Kim, Lee, Oh and Ku.

All Science Journal Classification (ASJC) codes

  • Oncology
  • Cancer Research

Fingerprint

Dive into the research topics of 'Differential gene expression and pathway analysis in growth hormone-secreting pituitary tumors according to granulation pattern'. Together they form a unique fingerprint.

Cite this