Growth hormone tumor histological subtypes predict response to surgical and medical therapy

Katja Kiseljak-Vassiliades1, Nichole E Carlson, Manuel T Borges

  • 1Division of Endocrinology, Metabolism and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, 12801 East 17th Ave, RC1 South Room 7402A, Aurora, CO, 80045, USA, katja.kiseljak-vassiliades@ucdenver.edu.

Endocrine
|August 18, 2014
PubMed

Insights

Histological subtypes of growth hormone (GH) pituitary tumors impact treatment response. Densely granulated tumors show better surgical and medical remission rates than sparsely granulated tumors, guiding personalized acromegaly therapy.

Area of Science:

  • Endocrinology
  • Neurosurgery
  • Oncology

Background:

  • Growth hormone (GH) pituitary tumors cause significant morbidity and mortality.
  • Current treatments achieve remission in only about half of patients.
  • Histologic subtypes (densely vs. sparsely granulated) may predict treatment response.

Purpose of the Study:

  • To correlate GH adenoma subtype with clinical parameters and treatment response.
  • To evaluate the prognostic significance of histologic subtyping for acromegaly management.

Main Methods:

  • Retrospective chart review of 101 acromegalic patients.
  • Correlation of clinical data with histologic subtype (densely vs. sparsely granulated).
  • Assessment of disease control (IGF-1, GH levels) post-surgery and/or medical therapy.

Main Results:

  • Sparsely granulated (SG) tumors occurred in younger patients and were larger than densely granulated (DG) tumors.
  • DG tumors showed significantly higher remission rates after surgery (65.7% vs. 14.3%) and SSA therapy (68.8% vs. 28.6%) compared to SG tumors.
  • SG tumors resistant to SSAs responded to GH receptor antagonists.

Conclusions:

  • Histologic subtyping of GH adenomas reveals distinct clinical phenotypes and behaviors.
  • Subtype classification provides prognostic value for surgical outcomes and medical therapy effectiveness in acromegaly.
  • Tailoring treatment based on GH tumor subtype can improve patient management.

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