Structure, Function, and Morphology in the Classification of Pituitary Neuroendocrine Tumors: the Importance of Routine Analysis of Pituitary Transcription Factors

2020 ◽  
Vol 31 (4) ◽  
pp. 330-336 ◽  
Author(s):  
Ozgur Mete ◽  
Sylvia L. Asa
Author(s):  
Sandra Silva-Ortega ◽  
Araceli García-Martinez ◽  
María Niveiro de Jaime ◽  
María Eugenia Torregrosa ◽  
Javier Abarca ◽  
...  

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Sulai Liu ◽  
Zhendong Zhong ◽  
Meng Xiao ◽  
Yinghui Song ◽  
Youye Zhu ◽  
...  

Abstract Background The World Health Organization's updated classification of digestive system neuroendocrine tumors in 2010 first proposed the classification of mixed adenoneuroendocrine carcinoma (MANEC). The incidence of biliary malignant tumors with neuroendocrine tumors accounts for less than 1% of all neuroendocrine tumors. Moreover, the incidence of hilar bile duct with MANEC is very rare. Case presentation A 65-year-old female patient came to our hospital for repeated abdominal pain for more than 4 months and skin sclera yellow staining for 1 week. Contrast-enhanced computed tomography imaging and magnetic resonance results suggested a hilar tumor for Bismuth-Corlette Type II. The patient underwent radical surgery for hilar cholangiocarcinoma. Finally, the patient was diagnosed with hilar bile duct MANEC, staged 1 (pT1N0M0) based on the eighth edition of the AJCC. Histopathology showed that the tumor was a biliary tumor with both adenocarcinoma and neuroendocrine carcinoma. No evidence of recurrence and metastasis after 20 months of follow-up. Conclusions We first reported a MANEC that originated in the hilar bile duct. As far as we known, there were few reports of biliary MANEC, and the overall prognosis was poor. We also found that the higher the Ki-67 index, the worse the prognosis of this type of patient. Radical surgery is the most effective treatment.


2015 ◽  
Vol 427 (22) ◽  
pp. 3554-3571 ◽  
Author(s):  
F. Hafna Ahmed ◽  
Paul D. Carr ◽  
Brendon M. Lee ◽  
Livnat Afriat-Jurnou ◽  
A. Elaaf Mohamed ◽  
...  

2002 ◽  
Vol 33 (11) ◽  
pp. 1126-1132 ◽  
Author(s):  
Susanne van Eeden ◽  
Pascal F.H.J. Quaedvlieg ◽  
Babs G. Taal ◽  
G.Johan A. Offerhaus ◽  
Cornelis B.H.W. Lamers ◽  
...  

2008 ◽  
Vol 132 (7) ◽  
pp. 1055-1061 ◽  
Author(s):  
Teri J. Franks ◽  
Jeffrey R. Galvin

Abstract Context.—Tumors with neuroendocrine morphology are a distinct subset of lung neoplasms sharing characteristic histologic, immunohistochemical, ultrastructural, and molecular features. Objective.—To review the current histologic classification and the diagnostic criteria for the major categories of neuroendocrine tumors of the lung. Data Sources.—Published classification systems from the World Health Organization and pertinent peer-reviewed articles indexed in PubMed (National Library of Medicine) form the basis of this review. Conclusions.—Accurate classification of the neuroendocrine tumors of the lung requires knowledge of specific criteria separating the major categories, which is essential for determining prognosis and treatment.


2010 ◽  
pp. P1-239-P1-239
Author(s):  
ML Campanini ◽  
SR Antonini ◽  
FC Amaral ◽  
HR Machado ◽  
AC Moreira ◽  
...  

2021 ◽  
Author(s):  
Lummy Maria Oliveira Monteiro ◽  
Joao Saraiva ◽  
Rodolfo Brizola Toscan ◽  
Peter F Stadler ◽  
Rafael Silva-Rocha ◽  
...  

AbstractTranscription Factors (TFs) are proteins that control the flow of genetic information by regulating cellular gene expression. Here we describe PredicTF, a first platform supporting the prediction and classification of novel bacterial TF in complex microbial communities. We evaluated PredicTF using a two-step approach. First, we tested PredictTF’s ability to predict TFs for the genome of an environmental isolate. In the second evaluation step, PredicTF was used to predict TFs in a metagenome and 11 metatranscriptomes recovered from a community performing anaerobic ammonium oxidation (anammox) in a bioreactor. PredicTF is open source pipeline available at https://github.com/mdsufz/PredicTF.


2009 ◽  
pp. 435-442
Author(s):  
Adeel Ansari ◽  
Karim Meeran ◽  
Stephen R. Bloom

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