Grading system may predict recurrence, progression of pituitary neuroendocrine tumors
The risk for recurrence or progression of pituitary neuroendocrine tumors in adults is significantly associated with age and tumor type, according to findings published in The Journal of Clinical Endocrinology & Metabolism.
Gérald Raverot, MD, PhD, of Hospices Civils de Lyon, Federation d'Endocrinologie du Pole Est in France, and colleagues evaluated 374 adults (194 women) who underwent surgery for a pituitary neuroendocrine tumor (mean age at surgery, 51.9 years) between February 2007 and October 2012 to test the value of a new classification system on prognostic relevance.
Tumors were classified using a grading system based on invasion on MRI, immunocytochemical profile, Ki-67 mitotic index and p53 positivity. Noninvasive tumors were classified as grade 1a, noninvasive but proliferative tumors were grade 1b, invasive tumors were grade 2a, invasive and proliferative tumors were grade 2b and metastatic tumors were grade 3.
Macroadenomas were the most common type of tumor based on MRI classification (82.1%), followed by microadenoma (13.6%) and giant adenoma (4.3%).
Information on grade was available for 365 tumors; grade 1a was the most common (51.2%), followed by grades 2a (32.3%), 2b (8.8%) and 1b (7.7%).
The progression-free survival analysis included 213 participants from the original cohort during a mean follow-up of 3.5 years. A recurrent event occurred in 52 participants, and progression occurred in 37 participants. The risk for recurrence and/or progression was associated with age (P = .035), tumor type (P = .028) and grade (P < .001). The risk for recurrence and/or progression was increased with grade 2b tumors compared with grade 1a tumors (HR = 3.72; 95% CI, 1.9-7.26) regardless of tumor type. Invasion was significantly associated with recurrence in grade 2a tumors (HR = 2.98; 95% CI, 1.89-4.7), whereas proliferation was not significantly associated with prognosis for grade 1b (HR = 1.25; 95% CI, 0.73-2.13).
“This prospective study confirms the usefulness of our previously proposed classification and may now allow clinicians to adapt their therapeutic strategies according to prognosis, but may also be used to stratify patients and evaluate therapeutic efficacy in future clinical trials,” the researchers wrote. “Further progress can be expected, in particular if an improved understanding of molecular abnormalities associated with pituitary tumorigenesis generates better biomarkers.” – by Amber Cox
Disclosures: The researchers report no relevant financial disclosures.