Predicting recurrence of nonfunctioning pituitary adenomas

Tae Woong Noh, Jae Jeong Hyeong, Mi Kyung Lee, Seung Kim Tai, Ho Kim Sun, Jig Lee Eun

Research output: Contribution to journalArticlepeer-review

74 Citations (Scopus)


Context: Nonfunctioning pituitary adenomas are commonly diagnosed as large tumors. Most are detected incidentally during imaging studies or as a result of neurological manifestations. Depending on severity, most patients with large tumors require surgery and adjunctive therapies because of the high rate of tumor recurrence. The ability to predict the recurrence of a tumor at the time of the initial surgery would be helpful in deciding whether adjunctive therapy is necessary and decreasing morbidity. We investigated the use of several cellular markers for predicting the recurrence of nonfunctioning pituitary adenomas. Objective: A tissue array block was made using tissue from 35 cases of nonfunctioning pituitary adenomas (16 cases with early recurrence ≤4 yr after surgery, 10 cases with late recurrence >4 yr after surgery, and nine cases without recurrence). Levels of tumor tissue cellular markers associated with cell proliferation or apoptosis were analyzed, and immunohistochemical study of cellular markers was conducted using sectioned slides from the tissue array block. Results: High Ki-67 and TUNEL labeling indexes were associated with recurrent nonfunctioning pituitary adenomas. Tumors with a high level of expression of phospho-Akt, phospho-p44/42 MAPK, and PTTG1 were associated with early recurrence. However, high levels of expression of phospho-CREB and ZAC1 were inversely associated with recurrence. Conclusions: Tumors with high levels of expression of phospho-Akt and phospho-p44/42MAPK and low levels of expression of phospho-CREB and ZAC1 should be followed closely and may require adjunctive therapy to prevent tumor recurrence.

Original languageEnglish
Pages (from-to)4406-4413
Number of pages8
JournalJournal of Clinical Endocrinology and Metabolism
Issue number11
Publication statusPublished - 2009 Nov

All Science Journal Classification (ASJC) codes

  • Endocrinology, Diabetes and Metabolism
  • Biochemistry
  • Endocrinology
  • Clinical Biochemistry
  • Biochemistry, medical


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