Acromegaly: a clinical perspective

• Main Authors: Lima Lawrence, Kenda Alkwatli, James Bena, Richard Prayson, Varun Kshettry, Pablo Recinos, Betul Hatipoglu, Kevin M. Pantalone, Robert Weil, Amir H. Hamrahian, Laurence Kennedy, Divya Yogi-Morren
• Format: Article
• Language: English
• Published: BMC 2020-08-01
• Series: Clinical Diabetes and Endocrinology
• Subjects: Acromegaly; IGF-1; Growth hormone; Pituitary adenoma; Sparsely granulated
• Online Access: http://link.springer.com/article/10.1186/s40842-020-00104-5

Abstract Background To examine the clinical and hormonal profiles, comorbidities, treatment patterns, surgical pathology and clinical outcomes of patients diagnosed with acromegaly at the Cleveland Clinic over a 15-year period. Methods A retrospective chart review of patients with acromegaly who underwent surgical resection between 2003 and 2018. Results A total of 136 patients (62 men; mean age 48.1 years) with biochemical evidence of acromegaly were analyzed. Median insulin-like growth factor 1 (IGF-1) level at diagnosis was 769.0 ng/mL and most patients had a macroadenoma (82.2%). Immunoreactivity to growth hormone (GH) was noted in 124 adenomas, with co-staining in 89 adenomas. Complete visible tumor resection during initial surgery was achieved in 87 patients (64.0%). In this cohort, complete response to surgery alone was observed in 61 patients (70.1%), while 31 out of 65 patients (47.7%) who received additional post-surgical medications and/or radiation therapy achieved complete response. At most recent follow-up, 92 patients achieved eventual complete response by documented normalization of IGF-1 levels. Higher IGF-1 level at diagnosis (P = 0.024) and cavernous sinus invasion (P = 0.028) were predictors for failure to respond to surgery. Conclusion In this study, the majority of tumors were macroadenoma, plurihormonal, and treated effectively with surgery alone or surgery with adjuvant medical or radiation therapy. More studies are needed to identify additional molecular biomarkers, tumor characteristics and imaging findings to individualize treatment and better predict treatment outcomes.