Literature DB >> 15070963

Cytoplasmic expression of fibroblast growth factor receptor-4 in human pituitary adenomas: relation to tumor type, size, proliferation, and invasiveness.

Zhi Rong Qian1, Toshiaki Sano, Sylvia L Asa, Shozo Yamada, Hidehisa Horiguchi, Takashi Tashiro, Chiun Chei Li, Mitsuyoshi Hirokawa, Kalman Kovacs, Shereen Ezzat.   

Abstract

The pathogenesis of pituitary adenomas remains unknown. A pituitary tumor-derived (ptd) isoform of fibroblast growth factor receptor-4 (ptd-FGFR4) has been implicated in the neoplastic process. To further understand the expression of FGFR4 in sporadic human pituitary adenomas, we studied 137 pituitary adenomas of various types (102 adenomas from Japanese patients and 35 adenomas from Canadian patients) and 10 nontumorous pituitaries using a polyclonal antiserum that recognizes the C terminus of FGFR4 and analyzed possible relationships among expression of FGFR4, patient nationality, tumor type, size, invasion, and the labeling index of the proliferation marker Ki-67 using the MIB-1 antibody. Cytoplasmic expression of FGFR4 protein was observed in 57.8% of Japanese cases and 62.8% of Canadian cases. FGFR4 reactivity was absent in all 10 normal adenohypophysial tissues examined. FGFR4 expression in pituitary adenomas was restricted mainly to the cytoplasm, a pattern similar to that seen in rat pituitary cells transfected with human ptd-FGFR4 but different from that of cells transfected with wild-type FGFR4, which displayed membrane localization of staining. Protein from primary human adenomas migrated as a 65-kDa species consistent with the predicted size of ptd-FGFR4. FGFR4 protein expression was frequently found in adenomas containing GH, ACTH, or FSH/LH and was also found in null cell adenomas, but reactivity was relatively rare in prolactin-containing adenomas in both Japanese and Canadian groups. The expression of FGFR4 protein was stronger in macroadenomas than in microadenomas (P = 0.02) and high levels of FGFR4 expression (moderate or greater density staining) were more frequently observed in macroadenomas than in microadenomas (P < 0.05). High levels of FGFR4 expression also correlated significantly with the proliferation marker Ki-67 (P = 0.002) and tended (but not significantly) to be found in invasive tumors. These data are consistent with a role for ptd-FGFR4 in pituitary tumorigenesis in a majority of human pituitary adenomas. Moreover, detection of FGFR4 cytoplasmic staining may provide an ancillary diagnostic tool in the diagnosis of pituitary adenoma, particularly in equivocal cases.

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Year:  2004        PMID: 15070963     DOI: 10.1210/jc.2003-031489

Source DB:  PubMed          Journal:  J Clin Endocrinol Metab        ISSN: 0021-972X            Impact factor:   5.958


  18 in total

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Authors:  Sylvia L Asa; Ozgur Mete; Shereen Ezzat
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Review 2.  Genetics and proteomics of pituitary tumors.

Authors:  Sylvia L Asa; Shereen Ezzat
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3.  Clival invasion on multi-detector CT in 390 pituitary macroadenomas: correlation with sex, subtype and rates of operative complication and recurrence.

Authors:  X Chen; J Dai; L Ai; X Ru; J Wang; S Li; G S Young
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Authors:  Ozgur Mete; Caroline Hayhurst; Hussein Alahmadi; Eric Monsalves; Hasan Gucer; Fred Gentili; Shereen Ezzat; Sylvia L Asa; Gelareh Zadeh
Journal:  Endocr Pathol       Date:  2013-12       Impact factor: 3.943

5.  Expression of p18(INK4C) is down-regulated in human pituitary adenomas.

Authors:  M Golam Hossain; Takeo Iwata; Noriko Mizusawa; Zhi Rong Qian; Shahidan Wan Nazatul Shima; Toru Okutsu; Shozo Yamada; Toshiaki Sano; Katsuhiko Yoshimoto
Journal:  Endocr Pathol       Date:  2009       Impact factor: 3.943

6.  Monomorphous Plurihormonal Pituitary Adenoma of Pit-1 Lineage in a Giant Adolescent with Central Hyperthyroidism.

Authors:  Bernardo Dias Pereira; Luísa Raimundo; Ozgur Mete; Ana Oliveira; Jorge Portugal; Sylvia L Asa
Journal:  Endocr Pathol       Date:  2016-03       Impact factor: 3.943

Review 7.  Immunohistochemical Biomarkers in Pituitary Pathology.

Authors:  Sylvia L Asa; Ozgur Mete
Journal:  Endocr Pathol       Date:  2018-06       Impact factor: 3.943

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Journal:  Mol Endocrinol       Date:  2014-03-13

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Journal:  BMC Cancer       Date:  2012-02-06       Impact factor: 4.430

10.  Discovery of dominant and dormant genes from expression data using a novel generalization of SNR for multi-class problems.

Authors:  Yu-Shuen Tsai; Chin-Teng Lin; George C Tseng; I-Fang Chung; Nikhil Ranjan Pal
Journal:  BMC Bioinformatics       Date:  2008-10-09       Impact factor: 3.169

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