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      Transcriptome Analysis Showed a Differential Signature between Invasive and Non-invasive Corticotrophinomas

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          Abstract

          ACTH-dependent hypercortisolism caused by a pituitary adenoma [Cushing’s disease (CD)] is the most common cause of endogenous Cushing’s syndrome. CD is often associated with several morbidities, including hypertension, diabetes, osteoporosis/bone fractures, secondary infections, and increased cardiovascular mortality. While the majority (≈80%) of the corticotrophinomas visible on pituitary magnetic resonance imaging are microadenomas (MICs, <10 mm of diameter), some tumors are macroadenomas (MACs, ≥10 mm) with increased growth potential and invasiveness, exceptionally exhibiting malignant demeanor. In addition, larger and invasive MACs are associated with a significant increased risk of local complications, such as hypopituitarism and visual defects. Given the clinical and molecular heterogeneity of corticotrophinomas, the aim of this study was to investigate the pattern of genetic differential expression between MIC and MAC, including the invasiveness grade as a criterion for categorizing these tumors. In this study, were included tumor samples from patients with clinical, laboratorial, radiological, and histopathological diagnosis of hypercortisolism due to an ACTH-producing pituitary adenoma. Differential gene expression was studied using an Affymetrix microarray platform in 12 corticotrophinomas, classified as non-invasive MIC ( n = 4) and MAC ( n = 5), and invasive MAC ( n = 3), according to modified Hardy criteria. Somatic mutations in USP8 were also investigated, but none of the patients exhibited USP8 variants. Differential expression analysis demonstrated that non-invasive MIC and MAC have a similar genetic signature, while invasive MACs exhibited a differential expression profile. Among the genes differentially expressed, we highlighted CCND2, ZNF676, DAPK1, and TIMP2, and their differential expression was validated through quantitative real-time PCR in another cohort of 15 non-invasive and 3 invasive cortocotrophinomas. We also identified potential biological pathways associated with growth and invasiveness, TGF-β and G protein signaling pathways, DNA damage response pathway, and pathways associated with focal adhesion. Our study revealed a differential pattern of genetic signature in a subgroup of MAC, supporting a genetic influence on corticotrophinomas in patients with CD.

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          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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            The prevalence of pituitary adenomas: a systematic review.

            Pituitary adenomas display an array of hormonal and proliferative activity. Once primarily classified according to size (microadenomas, or = 1 cm), these tumors are now further classified according to immunohistochemistry and functional status. With these additional classifications in mind, the goals of the current study were to determine the prevalence of pituitary adenomas and to explore the clinical relevance of the findings. The authors conducted a metaanalysis of all existing English-language articles in MEDLINE. They used the search string (pituitary adenoma or pituitary tumor) and prevalence and selected relevant autopsy and imaging evaluation studies for inclusion. The authors found an overall estimated prevalence of pituitary adenomas of 16.7% (14.4% in autopsy studies and 22.5% in radiologic studies). Given the high frequency of pituitary adenomas and their potential for causing clinical pathologies, the findings of the current study suggest that early diagnosis and treatment of pituitary adenomas should have far-reaching benefits.
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              Pituitary adenomas with invasion of the cavernous sinus space: a magnetic resonance imaging classification compared with surgical findings.

              We present 25 pituitary adenomas that were confirmed surgically to have invaded the cavernous sinus space. The surgical results are compared with the preoperative magnetic resonance imaging findings. For comparable radiological criteria, we classified parasellar growth into five grades. This proposed classification is based on coronal sections of unenhanced and gadolinium diethylene-triamine-pentaacetic acid enhanced magnetic resonance imaging scans, with the readily detectable internal carotid artery serving as the radiological landmark. The anatomical, radiological, and surgical conditions of each grade are considered. Grades 0, 1, 2, and 3 are distinguished from each other by a medial tangent, the intercarotid line--through the cross-sectional centers--and a lateral tangent on the intra- and supracavernous internal carotid arteries. Grade 0 represents the normal condition, and Grade 4 corresponds to the total encasement of the intracavernous carotid artery. According to this classification, surgically proven invasion of the cavernous sinus space was present in all Grade 4 and Grade 3 cases and in all but one of the Grade 2 cases; no invasion was present in Grade 0 and Grade 1 cases. Therefore, the critical area where invasion of the cavernous sinus space becomes very likely and can be proven surgically is located between the intercarotid line and the lateral tangent, which is represented by our Grade 2. We also measured tumor growth rates, using the monoclonal antibody KI-67, which shows a statistically higher proliferation rate (P < 0.001) in adenomas with surgically observed invasion into the cavernous sinus space, as compared with noninvasive adenomas.
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                Author and article information

                Contributors
                URI : http://frontiersin.org/people/u/386712
                URI : http://frontiersin.org/people/u/289479
                URI : http://frontiersin.org/people/u/18246
                URI : http://frontiersin.org/people/u/101091
                Journal
                Front Endocrinol (Lausanne)
                Front Endocrinol (Lausanne)
                Front. Endocrinol.
                Frontiers in Endocrinology
                Frontiers Media S.A.
                1664-2392
                22 March 2017
                2017
                : 8
                : 55
                Affiliations
                [1] 1Laboratory of Hormones and Molecular Genetics LIM-42, University of São Paulo Medical School , São Paulo, Brazil
                [2] 2Laboratory of Quantitative Pathology, Center of Pathology, Adolfo Lutz Institute , São Paulo, Brazil
                [3] 3Division of Metabolism, Endocrinology and Diabetes, University of Michigan , Ann Arbor, MI, USA
                [4] 4Internal Medicine Department, Ribeirao Preto Medical School, University of São Paulo , Ribeirao Preto, Brazil
                [5] 5Neuroendocrine Unit, Division of Endocrinology and Metabolism, University of São Paulo Medical School , São Paulo, Brazil
                [6] 6Endocrinology Service, AC Cancer Center , São Paulo, Brazil
                [7] 7Laboratory of Cellular and Molecular Endocrinology LIM-25, University of São Paulo Medical School , São Paulo, Brazil
                Author notes

                Edited by: Corin Badiu, Carol Davila University of Medicine and Pharmacy, Romania

                Reviewed by: Hidenori Fukuoka, Kobe University, Japan; Maria Chiara Zatelli, University of Ferrara, Italy

                *Correspondence: Maria Candida Barisson Villares Fragoso, maria.villares@ 123456hc.fm.usp.br

                Specialty section: This article was submitted to Pituitary Endocrinology, a section of the journal Frontiers in Endocrinology

                Article
                10.3389/fendo.2017.00055
                5360720
                28382019
                7f1716de-5635-4a6e-a767-14dedaa85489
                Copyright © 2017 de Araújo, Lerario, de Castro, Martins, Bronstein, Machado, Trarbach and Villares Fragoso.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 27 October 2016
                : 03 March 2017
                Page count
                Figures: 3, Tables: 7, Equations: 0, References: 55, Pages: 12, Words: 7539
                Funding
                Funded by: Fundação de Amparo à Pesquisa do Estado de São Paulo 10.13039/501100001807
                Award ID: 2012/17395-5
                Funded by: Conselho Nacional de Desenvolvimento Científico e Tecnológico 10.13039/501100003593
                Award ID: 307022/2012-9
                Categories
                Endocrinology
                Original Research

                Endocrinology & Diabetes
                cushing’s disease,gene expression,neuroendocrine tumors,microarray,anterior pituitary

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