Literature DB >> 25238988

An analysis of granulation patterns, MIB-1 proliferation indices and p53 expression in 101 patients with acromegaly.

Sauradeep Sarkar1, Ari George Chacko, Geeta Chacko.   

Abstract

BACKGROUND: Despite the wide spectrum of adenoma behavior in patients with acromegaly, the ability of most pathological markers to predict clinical and radiological behavior remains controversial. The authors sought to comprehensively examine clinical and radiological correlates of growth hormone (GH)-secreting pituitary adenomas with regard to several commonly used immunocytochemical techniques in patients undergoing transsphenoidal surgery for acromegaly.
METHOD: We performed a retrospective review of histopathological findings in 101 surgically resected GH adenomas. Tumors were assessed radiologically for different patterns of extension. Each tumor specimen was subject to immunocytochemical analysis, including assessments of granulation patterns, MIB-1 labeling indices, prolactin cosecretion, p53 expression and mitotic activity. Endocrinological outcome was assessed in 93 patients, with remission defined by the 2010 consensus criteria.
RESULTS: Most tumors were macroadenomas and almost half were invasive. When compared to densely granulated tumors, sparsely granulated adenomas were associated with a younger age at presentation, higher preoperative IGF-1 levels, elevated MIB-1 index and pure GH immunostaining, but did not differ significantly in terms of extrasellar invasion or outcome. Increased mitotic activity and p53 expression were also associated with higher proliferation indices and a younger age at presentation. Mixed GH/prolactin tumors demonstrated significantly higher remission rates, independent of variations in extrasellar growth. MIB-1 indices did not correlate with the preoperative GH/IGF-1 levels, adenoma size or Knosp grade.
CONCLUSION: The pathobiology of acromegaly is complex, and the clinicoradiological significance of subtyping on the basis of the markers employed in this study is debatable. Further investigation of newer molecular markers is warranted.

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Year:  2014        PMID: 25238988     DOI: 10.1007/s00701-014-2230-6

Source DB:  PubMed          Journal:  Acta Neurochir (Wien)        ISSN: 0001-6268            Impact factor:   2.216


  7 in total

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Journal:  Pituitary       Date:  2017-02       Impact factor: 4.107

Review 2.  Clinical Impact of the Current WHO Classification of Pituitary Adenomas.

Authors:  W Saeger; J Honegger; M Theodoropoulou; U J Knappe; C Schöfl; S Petersenn; R Buslei
Journal:  Endocr Pathol       Date:  2016-06       Impact factor: 3.943

3.  Silent Corticotroph and Somatotroph Double Pituitary Adenoma: A Case Report and Review of Literature.

Authors:  Isabella L Pecorari; Lakshmi Priyanka Mahali; Abigail Funari; Roger Fecher; Nisha Suda; Vijay Agarwal
Journal:  J Neurol Surg Rep       Date:  2022-05-27

4.  Association of different pathologic subtypes of growth hormone producing pituitary adenoma and remission in acromegaly patients: a retrospective cohort study.

Authors:  Maryam Dehghani; Zahra Davoodi; Farahnaz Bidari; Amin Momeni Moghaddam; Davood Khalili; Hooman Bahrami-Motlagh; Elena Jamali; Shahram Alamdari; Farhad Hosseinpanah; Mehdi Hedayati; Majid Valizadeh
Journal:  BMC Endocr Disord       Date:  2021-09-16       Impact factor: 2.763

5.  Clinical, hormonal and pathomorphological markers of somatotroph pituitary neuroendocrine tumors predicting the treatment outcome in acromegaly.

Authors:  Agnieszka Tomasik; Maria Stelmachowska-Banaś; Maria Maksymowicz; Izabella Czajka-Oraniec; Dorota Raczkiewicz; Grzegorz Zieliński; Jacek Kunicki; Wojciech Zgliczyński
Journal:  Front Endocrinol (Lausanne)       Date:  2022-09-16       Impact factor: 6.055

6.  Associations of Ki-67 Labeling Index with Clinical and Paraclinical Features of Growth Hormone-Secreting Pituitary Adenomas: A Single Center Report from Iran.

Authors:  Shahrzad Mohseni; Maryam Aboeerad; Farshad Sharifi; Seyed Mohammad Tavangar; Mohammadreza Mohajeri-Tehrani
Journal:  Int J Endocrinol Metab       Date:  2019-04-13

7.  A Nomogram for Preoperatively Predicting the Ki-67 Index of a Pituitary Tumor: A Retrospective Cohort Study.

Authors:  Xiangming Cai; Junhao Zhu; Jin Yang; Chao Tang; Feng Yuan; Zixiang Cong; Chiyuan Ma
Journal:  Front Oncol       Date:  2021-05-31       Impact factor: 6.244

  7 in total

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