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Comprehensive Immunoprofiles of Renal Cell Carcinoma Subtypes

Authors
 Moonsik Kim  ;  Jin Woo Joo  ;  Seok Joo Lee  ;  Yoon Ah Cho  ;  Cheol Keun Park  ;  Nam Hoon Cho 
Citation
 CANCERS, Vol.12(3) : 602, 2020-03 
Journal Title
CANCERS
Issue Date
2020-03
Keywords
Renal cell carcinoma ; algorithm ; diagnosis ; immunohistochemistry ; subtyping
Abstract
In recent years, renal epithelial tumors have been among the fastest reclassifying tumors, requiring updates to the tumor classification system. Nonetheless, immunohistochemistry (IHC) remains the most widely used tool for renal epithelial tumors. In this proposal, we aimed to create the most efficient IHC panel for categorizing the diverse subtypes of renal tumors, and to find out more specific immunohistochemical results in each subtype or each antibody. A total of 214 renal tumors were analyzed using 10 possible IHC markers to differentiate subtypes, including three major renal cell carcinoma (RCC) subtypes, clear-cell type (50 cases), papillary type (50 cases), and chromophobe type (20 cases), and minor subtypes (MiT RCC, 13 cases; collecting duct carcinoma, 5 cases; and oncocytoma, 10 cases). A triple immunomarker (cytokeratin 7 (CK7)-carbonic anhydrase IX (CAIX)- alpha-methylacyl-CoA racemase (AMACR)) panel is useful in particular high-grade clear-cell tumors. If IHC remains ambiguous, the use of an adjunctive panel can be suggested, including CD10, epithelial membrane antigen, cathepsin K, c-kit, hepatocyte nuclear factor 1-β, and E-cadherin. For an efficient immunohistochemical strategy for subtyping of RCC, we conclude that the CK7-CAIX-AMACR panel is the best primary choice for screening subtyping.
Files in This Item:
T202002208.pdf Download
DOI
10.3390/cancers12030602
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Pathology (병리학교실) > 1. Journal Papers
Yonsei Authors
Kim, Moonsik(김문식) ORCID logo https://orcid.org/0000-0002-5804-8790
Park, Cheol Keun(박철근) ORCID logo https://orcid.org/0000-0001-7689-0386
Cho, Nam Hoon(조남훈) ORCID logo https://orcid.org/0000-0002-0045-6441
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/179046
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