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Proteome analysis of adrenal cortical tumors

Authors
 Hye Min Kim  ;  Yu Kyung Lee  ;  Ja Seung Koo 
Citation
 EXPERT REVIEW OF PROTEOMICS, Vol.13(8) : 747-755, 2016 
Journal Title
 EXPERT REVIEW OF PROTEOMICS 
ISSN
 1478-9450 
Issue Date
2016
MeSH
Adrenocortical Adenoma/diagnosis ; Adrenocortical Adenoma/genetics* ; Adrenocortical Adenoma/pathology ; Adrenocortical Carcinoma/diagnosis ; Adrenocortical Carcinoma/genetics* ; Adrenocortical Carcinoma/pathology ; Humans ; Prognosis* ; Proteome/genetics* ; Proteomics
Keywords
Adrenal cortical tumor ; adrenal cortical adenoma ; adrenal cortical carcinoma ; diagnosis ; mass spectrometry ; proteomics
Abstract
INTRODUCTION: Adrenal tumor is a relatively common tumor. The discrimination between adrenal cortical adenoma (ACA) and adrenal cortical carcinoma (ACC) is crucial as these two diseases have distinct prognosis. ACA is a benign tumor curable by surgical excision, while the prognosis of ACC is extremely poor, with a 5-year mortality of 75-90%. Therefore, previous proteomic studies focused on markers allowing the differentiation between ACA and ACC. AREAS COVERED: Several proteomic approaches based on the analysis of various samples such as human tissues, urine, and cell lines. In this review, we focused on proteomic studies performed to improve adrenal tumor diagnosis and identify ACC therapeutic targets. Expert commentary: The rapid development of cancer genomics provided a lot of information, which affects functional proteomics. In practice, differentially expressed proteins between ACA and ACC have been suggested in several proteomic studies and had a biologic implication in ACC.
Full Text
http://www.tandfonline.com/doi/full/10.1080/14789450.2016.1210008
DOI
10.1080/14789450.2016.1210008
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Pathology (병리학교실) > 1. Journal Papers
Yonsei Authors
Koo, Ja Seung(구자승) ORCID logo https://orcid.org/0000-0003-4546-4709
Kim, Hye Min(김혜민) ORCID logo https://orcid.org/0000-0002-2899-9480
Lee, Yu Kyung(이유경)
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/151752
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