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ORIGINAL RESEARCH article

Front. Endocrinol.

Sec. Pituitary Endocrinology

This article is part of the Research TopicSurgery and Management of Pituitary Region Tumours and Their Endocrine OutcomesView all 16 articles

Clinical predictors of dopamine agonist resistance in macroprolactinoma, a single-arm pilot study

Provisionally accepted
Zahra  DavoudiZahra Davoudi1Hamed  BorhaniHamed Borhani2Mohammad  Mirahmadi EraghiMohammad Mirahmadi Eraghi3Guive  SharifiGuive Sharifi4Reza  NaseriReza Naseri2Kaveh  EbrahimzadehKaveh Ebrahimzadeh3Seyed Ali  MousavinejadSeyed Ali Mousavinejad3Mohammad  HallajnejadMohammad Hallajnejad3Samar  HeydariSamar Heydari5Arezoo  ChouhdariArezoo Chouhdari6Mohammad  SamadianMohammad Samadian4*
  • 1Department of Endocrinology, Loghman-Hakim Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
  • 2Loghman Hakim Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
  • 3Skull Base Research Center, Loghman Hakim Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran, Tehran, Iran
  • 4Shahid Beheshti University of Medical Sciences, Tehran, Alborz, Iran
  • 5Faculty of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
  • 6Faculty of Medicine, Islamic Azad University of Medical Sciences, Tehran, Iran

The final, formatted version of the article will be published soon.

Abstract Background: Prolactin-secreting tumors represent the predominant pituitary adenomas. Dopamine agonists (DAs) provide the primary therapeutic option; however, a large group of patients tend to be resistant to DAs. We sought to address the clinical predictors attributed to DA resistance in macroprolactinomas. Methods: We performed a single-arm, prospective pilot study including 48 patients with macroprolactinoma (size ≥ 1 cm). The clinical, hormonal, and radiological findings of eligible patients were analyzed from 2017 to 2023. Results: Thirty-five males and 13 females were included, and 31 and 17 patients were categorized as responsive and resistant groups. A significant difference was found among the groups in terms of age (p < 0.001), gender (p < 0.001), symptoms such as headaches (p = 0.02) and loss of libido (p < 0.001), baseline prolactin (PRL) levels (p = 0.001), and hypopituitarism (p < 0.001). 81.8% of patients in the resistance group had an initial PRL level greater than 1000 ng/mL. The resistant group had larger tumors. 88% and 45% of patients in the responsive and resistant groups, respectively, had cavernous sinus invasion, indicating a favorable response to medical treatment despite cavernous sinus extension. The most robust predictor for the responsive group was the administration of a low dose of cabergoline (< 1.5 mg/week). Patients experiencing remission with low-dose cabergoline were the only index responders. Conclusion: DA resistance macroprolactinomas are associated with younger age and higher baseline PRL. An adjusted dose of cabergoline represents a predictor of DA responsiveness. The cabergoline (<1.5 mg/week) not only demonstrated a positive response within the initial months but also represented the most robust predictor for the response group. Individualized therapeutic strategies and early identification of DA resistance should be attempted to optimize the outcomes.

Keywords: pituitary adenoma, Prolactinoma, Dopamine agonist resistant, ETSS = endoscopic endonasal transsphenoidal surgery, Endocrinolgy

Received: 12 Jun 2024; Accepted: 03 Nov 2025.

Copyright: © 2025 Davoudi, Borhani, Mirahmadi Eraghi, Sharifi, Naseri, Ebrahimzadeh, Mousavinejad, Hallajnejad, Heydari, Chouhdari and Samadian. 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: Mohammad Samadian, mdsamadian@gmail.com

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