Literature DB >> 8747957

Proliferative activity and invasiveness among pituitary adenomas and carcinomas: an analysis using the MIB-1 antibody.

K Thapar1, K Kovacs, B W Scheithauer, L Stefaneanu, E Horvath, P J Pernicone, D Murray, E R Laws.   

Abstract

Although histologically benign, one-third of all pituitary tumors will be invasive of surrounding structures. In this study, the relationship between the proliferative activity in pituitary adenomas and their invasiveness was investigated. Invasion was defined as gross, operatively or radiologically apparent infiltration of dura or bone. Using the recently developed MIB-1 monoclonal antibody, which recognizes the Ki-67 cell cycle-specific nuclear antigen, the growth fractions of 37 noninvasive adenomas, 33 invasive adenomas, and 7 primary pituitary carcinomas were determined. All tumors were fully classified by histology, immunohistochemistry, and electron microscopy. The mean Ki-67 -derived growth fractions for noninvasive adenomas, invasive adenomas, and pituitary carcinomas were 1.37 +/- 0.15%, 4.66 +/- 0.57%, and 11.91 +/- 3.41%, respectively (mean +/- standard error of the mean). An analysis of variance and then individual pairwise comparisons confirmed significant differences in the mean Ki-67 labeling index between each of the three tumor groups (P < 0.01). The mean growth fraction of hormonally active pituitary adenomas (3.25 +/- 0.26%) was significantly higher than that for nonfunctioning adenomas (2.06 +/- 0.23%) (P = 0.03). Establishing a threshold labeling index of 3% served to distinguish invasive from noninvasive adenomas with 97% specificity and 73% sensitivity and was associated with positive and negative predictive values of 96 and 80%, respectively. Although invasive pituitary tumors exhibited significantly higher growth fractions than did noninvasive tumors, there were individual exceptions, indicating that in a subpopulation of invasive pituitary tumors, factors other than proliferative activity determine invasive potential.

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Year:  1996        PMID: 8747957     DOI: 10.1097/00006123-199601000-00024

Source DB:  PubMed          Journal:  Neurosurgery        ISSN: 0148-396X            Impact factor:   4.654


  117 in total

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2.  The clinical significance of MIB-1 labeling index in pituitary adenomas.

Authors:  Geeta Chacko; Ari G Chacko; Kalman Kovacs; Bernd W Scheithauer; Sunithi Mani; J P Muliyil; M S Seshadri
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3.  Integrative proteomics and transcriptomics identify novel invasive-related biomarkers of non-functioning pituitary adenomas.

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7.  Invasive adenoma and pituitary carcinoma: a SEER database analysis.

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9.  Prediction of high proliferative index in pituitary macroadenomas using MRI-based radiomics and machine learning.

Authors:  Lorenzo Ugga; Renato Cuocolo; Domenico Solari; Elia Guadagno; Alessandra D'Amico; Teresa Somma; Paolo Cappabianca; Maria Laura Del Basso de Caro; Luigi Maria Cavallo; Arturo Brunetti
Journal:  Neuroradiology       Date:  2019-08-02       Impact factor: 2.804

10.  Nuclear accumulation of basic fibroblast growth factor as a predictor for the recurrence of pituitary adenomas.

Authors:  Shinji Fukui; Naoki Otani; Hiroshi Nawashiro; Akiko Yano; Takahito Miyazawa; Akira Ohnuki; Nobusuke Tsuzuki; Hiroshi Katoh; Shoichiro Ishihara; Takamoto Suzuki; Katsuji Shima
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