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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...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2016
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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. |
format | Online Article Text |
id | pubmed-5342148 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
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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