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Receptor tyrosine kinase amplified gastric cancer: Clinicopathologic characteristics and proposed screening algorithm

Although targeted therapy for receptor tyrosine kinases (RTKs) of advanced gastric cancers (AGCs) has been in the spotlight, guidelines for the identification of RTK-amplified gastric cancers (RA-GCs) have not been established. In this study, we investigate clinicopathologic characteristics of RA-GC...

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Autores principales: Park, Cheol Keun, Park, Ji Soo, Kim, Hyo Song, Rha, Sun Young, Hyung, Woo Jin, Cheong, Jae-Ho, Noh, Sung Hoon, Lee, Sang Kil, Lee, Yong Chan, Huh, Yong-min, Kim, Hyunki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5342148/
https://www.ncbi.nlm.nih.gov/pubmed/27765925
http://dx.doi.org/10.18632/oncotarget.12291
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author Park, Cheol Keun
Park, Ji Soo
Kim, Hyo Song
Rha, Sun Young
Hyung, Woo Jin
Cheong, Jae-Ho
Noh, Sung Hoon
Lee, Sang Kil
Lee, Yong Chan
Huh, Yong-min
Kim, Hyunki
author_facet Park, Cheol Keun
Park, Ji Soo
Kim, Hyo Song
Rha, Sun Young
Hyung, Woo Jin
Cheong, Jae-Ho
Noh, Sung Hoon
Lee, Sang Kil
Lee, Yong Chan
Huh, Yong-min
Kim, Hyunki
author_sort Park, Cheol Keun
collection PubMed
description Although targeted therapy for receptor tyrosine kinases (RTKs) of advanced gastric cancers (AGCs) has been in the spotlight, guidelines for the identification of RTK-amplified gastric cancers (RA-GCs) have not been established. In this study, we investigate clinicopathologic characteristics of RA-GCs and propose a screening algorithm for their identification. We performed immunohistochemistry (IHC) for MLH1, MSH2, PMS2, MSH6, key RTKs (EGFR, HER2, MET), and p53, in situ hybridization for Epstein-Barr virus encoding RNA, and silver in situ hybridization (SISH) for EGFR, HER2, and MET using tissue microarrays of 993 AGCs. On IHC, 157 (15.8%) 61, (6.15%), and 85 (8.56%) out of 993 cases scored 2+ or 3+ for EGFR, HER2, and MET, respectively. On SISH, 31.2% (49/157), 80.3% (49/61), and 30.6% (26/85) of 2+ or 3+ cases on IHC showed amplification of the corresponding genes. Of the 993 cases, 104 were classified as RA-GCs. RA-GC status correlated with older age (P < 0.001), differentiated histology (P = 0.001), intestinal or mixed type by Lauren classification (P < 0.001), lymphovascular invasion (P = 0.026), and mutant-pattern of p53 (P < 0.001). The cases were divided into four subgroups using two classification systems, putative molecular classification and histologic-molecular classification, based on Lauren classification, IHC, and SISH results. The histologic-molecular classification showed higher sensitivity for identification of RA-GCs and predicted patient prognosis better than the putative molecular classification. In conclusion, RA-GCs show unique clinicopathologic features. The proposed algorithm based on histologic-molecular classification can be applied to select candidates for genetic examination and targeted therapy.
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spelling pubmed-53421482017-03-24 Receptor tyrosine kinase amplified gastric cancer: Clinicopathologic characteristics and proposed screening algorithm Park, Cheol Keun Park, Ji Soo Kim, Hyo Song Rha, Sun Young Hyung, Woo Jin Cheong, Jae-Ho Noh, Sung Hoon Lee, Sang Kil Lee, Yong Chan Huh, Yong-min Kim, Hyunki Oncotarget Research Paper Although targeted therapy for receptor tyrosine kinases (RTKs) of advanced gastric cancers (AGCs) has been in the spotlight, guidelines for the identification of RTK-amplified gastric cancers (RA-GCs) have not been established. In this study, we investigate clinicopathologic characteristics of RA-GCs and propose a screening algorithm for their identification. We performed immunohistochemistry (IHC) for MLH1, MSH2, PMS2, MSH6, key RTKs (EGFR, HER2, MET), and p53, in situ hybridization for Epstein-Barr virus encoding RNA, and silver in situ hybridization (SISH) for EGFR, HER2, and MET using tissue microarrays of 993 AGCs. On IHC, 157 (15.8%) 61, (6.15%), and 85 (8.56%) out of 993 cases scored 2+ or 3+ for EGFR, HER2, and MET, respectively. On SISH, 31.2% (49/157), 80.3% (49/61), and 30.6% (26/85) of 2+ or 3+ cases on IHC showed amplification of the corresponding genes. Of the 993 cases, 104 were classified as RA-GCs. RA-GC status correlated with older age (P < 0.001), differentiated histology (P = 0.001), intestinal or mixed type by Lauren classification (P < 0.001), lymphovascular invasion (P = 0.026), and mutant-pattern of p53 (P < 0.001). The cases were divided into four subgroups using two classification systems, putative molecular classification and histologic-molecular classification, based on Lauren classification, IHC, and SISH results. The histologic-molecular classification showed higher sensitivity for identification of RA-GCs and predicted patient prognosis better than the putative molecular classification. In conclusion, RA-GCs show unique clinicopathologic features. The proposed algorithm based on histologic-molecular classification can be applied to select candidates for genetic examination and targeted therapy. Impact Journals LLC 2016-09-27 /pmc/articles/PMC5342148/ /pubmed/27765925 http://dx.doi.org/10.18632/oncotarget.12291 Text en Copyright: © 2016 Park et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Park, Cheol Keun
Park, Ji Soo
Kim, Hyo Song
Rha, Sun Young
Hyung, Woo Jin
Cheong, Jae-Ho
Noh, Sung Hoon
Lee, Sang Kil
Lee, Yong Chan
Huh, Yong-min
Kim, Hyunki
Receptor tyrosine kinase amplified gastric cancer: Clinicopathologic characteristics and proposed screening algorithm
title Receptor tyrosine kinase amplified gastric cancer: Clinicopathologic characteristics and proposed screening algorithm
title_full Receptor tyrosine kinase amplified gastric cancer: Clinicopathologic characteristics and proposed screening algorithm
title_fullStr Receptor tyrosine kinase amplified gastric cancer: Clinicopathologic characteristics and proposed screening algorithm
title_full_unstemmed Receptor tyrosine kinase amplified gastric cancer: Clinicopathologic characteristics and proposed screening algorithm
title_short Receptor tyrosine kinase amplified gastric cancer: Clinicopathologic characteristics and proposed screening algorithm
title_sort receptor tyrosine kinase amplified gastric cancer: clinicopathologic characteristics and proposed screening algorithm
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5342148/
https://www.ncbi.nlm.nih.gov/pubmed/27765925
http://dx.doi.org/10.18632/oncotarget.12291
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