Tumor ZAC1 expression is associated with the response to somatostatin analog therapy in patients with acromegaly

Marily Theodoropoulou1, Maria A Tichomirowa, Caroline Sievers

  • 1Department of Endocrinology, Max Planck Institute of Psychiatry, 80804 Munich, Germany. marily@mpipsykl.mpg.de

Insights

Strong ZAC1 expression in somatotrophinoma tumors correlates with better response to somatostatin analog (SSA) treatment in acromegaly patients. This suggests ZAC1 is key for SSA

Area of Science:

  • Endocrinology
  • Oncology
  • Molecular Biology

Background:

  • Somatostatin analogs (SSA) are primary treatments for neuroendocrine tumors, including acromegaly.
  • Incomplete hormonal control and tumor shrinkage occur in some acromegaly patients despite SSA therapy.
  • The tumor suppressor ZAC1 is implicated in SSA's antiproliferative effects on pituitary tumor cells.

Purpose of the Study:

  • To investigate the association between ZAC1 immunoreactivity in somatotrophinoma tissue and patient response to SSA treatment.
  • To determine if ZAC1 levels correlate with hormonal normalization (GH, IGF-I) and tumor shrinkage in acromegaly.

Main Methods:

  • Retrospective cohort study of 45 acromegaly patients treated with SSA before surgery.
  • Analysis of ZAC1 immunoreactivity (weak, moderate, strong) in archival somatotrophinoma tissue.
  • Correlation of ZAC1 levels with clinical outcomes: IGF-I normalization and tumor shrinkage.

Main Results:

  • All analyzed tumors showed ZAC1 immunoreactivity.
  • Strong ZAC1 immunoreactivity significantly correlated with IGF-I normalization.
  • Strong ZAC1 immunoreactivity was also associated with tumor shrinkage after SSA treatment.
  • This correlation was independent of age, gender, and SSA treatment duration.

Conclusions:

  • ZAC1 expression is a significant predictor of SSA treatment response in acromegaly.
  • In vivo findings support a mechanistic role for ZAC1 in SSA-induced tumor shrinkage and hormone normalization.
  • ZAC1 may be a valuable biomarker for predicting SSA efficacy in pituitary tumors.

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