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1.
Oncotarget ; 6(35): 38421-8, 2015 Nov 10.
Artigo em Inglês | MEDLINE | ID: mdl-26472106

RESUMO

BACKGROUND: Many meningiomas are identified by imaging and followed, with an assumption that they are WHO Grade I tumors. The purpose of our investigation is to find clinical or imaging predictors of WHO Grade II/III tumors to distinguish them from Grade I meningiomas. METHODS: Patients with a pathologic diagnosis of meningioma from 2002-2009 were included if they had pre-operative MRI studies and pathology for review. A Neuro-Pathologist reviewed and classified all tumors by WHO 2007. All Brain MRI imaging was reviewed by a Neuro-radiologist. Pathology and Radiology reviews were blinded from each other and clinical course. Recursive partitioning was used to create predictive models for identifying meningioma grades. RESULTS: Factors significantly correlating with a diagnosis of WHO Grade II-III tumors in univariate analysis: prior CVA (p = 0.005), CABG (p = 0.010), paresis (p = 0.008), vascularity index = 4/4: (p = 0.009), convexity vs other (p = 0.014), metabolic syndrome (p = 0.025), non-skull base (p = 0.041) and non-postmenopausal female (p = 0.045). Recursive partitioning analysis identified four categories: 1. prior CVA, 2. vascular index (vi) = 4 (no CVA), 3. premenopausal or male, vi < 4, no CVA. 4. Postmenopausal, vi < 4, no CVA with corresponding rates of 73, 54, 35 and 10% of being Grade II-III meningiomas. CONCLUSIONS: Meningioma patients with prior CVA and those grade 4/4 vascularity are the most likely to have WHO Grade II-III tumors while post-menopausal women without these features are the most likely to have Grade I meningiomas. Further study of the associations of clinical and imaging factors with grade and clinical behavior are needed to better predict behavior of these tumors without biopsy.


Assuntos
Imageamento por Ressonância Magnética , Neoplasias Meníngeas/patologia , Meningioma/patologia , Adolescente , Adulto , Fatores Etários , Idoso , Idoso de 80 Anos ou mais , Biópsia , Criança , Pré-Escolar , Diagnóstico Diferencial , Feminino , Humanos , Masculino , Neoplasias Meníngeas/etiologia , Meningioma/etiologia , Pessoa de Meia-Idade , Gradação de Tumores , Pós-Menopausa , Valor Preditivo dos Testes , Sistema de Registros , Medição de Risco , Fatores de Risco , Fatores Sexuais , Adulto Jovem
2.
Am J Clin Pathol ; 138(2): 203-10, 2012 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-22904131

RESUMO

Distinction of liver metastases from hepatocellular carcinoma (HCC) may present a diagnostic challenge. Arginase-1 (Arg-1) is a marker for HCC recently described in some literature. Immunohistochemical evaluation of Arg-1, hepatocyte paraffin-1 (HepPar-1), and glypican-3 expression was performed on 1,240 surgical specimens and 62 liver fine-needle aspiration specimens (29 HCCs, 28 metastatic tumors, and 5 benign liver cases). The staining results on tissue microarray sections showed that 2.7% and 3.1% of nonhepatic tumor cases were positive for HepPar-1 and glypican-3, respectively; none was positive for Arg-1. For fine-needle aspiration specimens, 19 HCCs were positive for all 3 markers; 9 were positive for 1 or 2 markers; and only 1 case was negative for all 3 markers. These data demonstrate that Arg-1 is the most specific marker in differentiating a non-HCC from HCC. It is recommended to use 3 markers as a panel in distinguishing HCC from metastatic carcinoma.


Assuntos
Arginase/análise , Biomarcadores Tumorais/análise , Carcinoma Hepatocelular/química , Carcinoma Hepatocelular/secundário , Neoplasias Hepáticas/química , Neoplasias Hepáticas/secundário , Adenocarcinoma/química , Adenocarcinoma/patologia , Adenocarcinoma/secundário , Biópsia por Agulha Fina , Carcinoma Hepatocelular/patologia , Carcinoma de Células Escamosas/química , Carcinoma de Células Escamosas/patologia , Diagnóstico Diferencial , Neoplasias Esofágicas/química , Neoplasias Esofágicas/patologia , Glipicanas/análise , Humanos , Imuno-Histoquímica , Fígado/patologia , Hepatopatias/patologia , Neoplasias Hepáticas/patologia , Neoplasias Pulmonares/química , Neoplasias Pulmonares/patologia , Gradação de Tumores
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