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Profiling cancer-associated genetic alterations and molecular classification of cancer in Korean gastric cancer patients
Recently, the Cancer Genome Atlas (TCGA) Research Network and Asian Cancer Research Group provided a new classification of gastric cancer (GC) to aid the development of biomarkers for targeted therapy and predict prognosis. We studied associations between genetically aberrant profiles of cancer-rela...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5642524/ https://www.ncbi.nlm.nih.gov/pubmed/29050249 http://dx.doi.org/10.18632/oncotarget.19435 |
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author | Kim, Yoonjung Cho, Mee-Yon Kim, Juwon Kim, Sung Nam Oh, Seoung Chul Lee, Kyung-A |
author_facet | Kim, Yoonjung Cho, Mee-Yon Kim, Juwon Kim, Sung Nam Oh, Seoung Chul Lee, Kyung-A |
author_sort | Kim, Yoonjung |
collection | PubMed |
description | Recently, the Cancer Genome Atlas (TCGA) Research Network and Asian Cancer Research Group provided a new classification of gastric cancer (GC) to aid the development of biomarkers for targeted therapy and predict prognosis. We studied associations between genetically aberrant profiles of cancer-related genes, environmental factors, and histopathological features in 107 paired gastric tumor-non-tumor tissue GC samples. 6.5% of our GC cases were classified as the EBV subtype, 17.8% as the MSI subtype, 43.0% as the CIN subtype, and 32.7% as the GS subtype. The distribution of four GC subgroups based on the TCGA and our dataset were similar. The MSI subtype showed a hyper-mutated status and the best prognosis among molecular subtype. However, molecular classification based on the four GC subtypes showed no significant survival differences in terms of overall survival (p= 0.548) or relapse-free survival (RFS, p=0.518). The P619fs*43 in ZBTB20 was limited to MSI group (n= 5/19, 26.3%), showing similar trends observed in TCGA dataset. Genetic alterations of the RTK/RAS/MAPK and PI3K/AKT/mTOR pathways were detected in 34.6% of GC cases (37 individual cases). We also found two cases with likely pathogenic variants (NM_004360.4: c. 2494 G>A, p.V832M) in the CDH1 gene. Here, we classified molecular subtypes of GC according to the TCGA system and provide a critical starting point for the design of more appropriate clinical trials based on a comprehensive analysis of genetic alterations in Korean GC patients. |
format | Online Article Text |
id | pubmed-5642524 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-56425242017-10-18 Profiling cancer-associated genetic alterations and molecular classification of cancer in Korean gastric cancer patients Kim, Yoonjung Cho, Mee-Yon Kim, Juwon Kim, Sung Nam Oh, Seoung Chul Lee, Kyung-A Oncotarget Research Paper Recently, the Cancer Genome Atlas (TCGA) Research Network and Asian Cancer Research Group provided a new classification of gastric cancer (GC) to aid the development of biomarkers for targeted therapy and predict prognosis. We studied associations between genetically aberrant profiles of cancer-related genes, environmental factors, and histopathological features in 107 paired gastric tumor-non-tumor tissue GC samples. 6.5% of our GC cases were classified as the EBV subtype, 17.8% as the MSI subtype, 43.0% as the CIN subtype, and 32.7% as the GS subtype. The distribution of four GC subgroups based on the TCGA and our dataset were similar. The MSI subtype showed a hyper-mutated status and the best prognosis among molecular subtype. However, molecular classification based on the four GC subtypes showed no significant survival differences in terms of overall survival (p= 0.548) or relapse-free survival (RFS, p=0.518). The P619fs*43 in ZBTB20 was limited to MSI group (n= 5/19, 26.3%), showing similar trends observed in TCGA dataset. Genetic alterations of the RTK/RAS/MAPK and PI3K/AKT/mTOR pathways were detected in 34.6% of GC cases (37 individual cases). We also found two cases with likely pathogenic variants (NM_004360.4: c. 2494 G>A, p.V832M) in the CDH1 gene. Here, we classified molecular subtypes of GC according to the TCGA system and provide a critical starting point for the design of more appropriate clinical trials based on a comprehensive analysis of genetic alterations in Korean GC patients. Impact Journals LLC 2017-07-22 /pmc/articles/PMC5642524/ /pubmed/29050249 http://dx.doi.org/10.18632/oncotarget.19435 Text en Copyright: © 2017 Kim 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 (http://creativecommons.org/licenses/by/3.0/) 3.0 (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper Kim, Yoonjung Cho, Mee-Yon Kim, Juwon Kim, Sung Nam Oh, Seoung Chul Lee, Kyung-A Profiling cancer-associated genetic alterations and molecular classification of cancer in Korean gastric cancer patients |
title | Profiling cancer-associated genetic alterations and molecular classification of cancer in Korean gastric cancer patients |
title_full | Profiling cancer-associated genetic alterations and molecular classification of cancer in Korean gastric cancer patients |
title_fullStr | Profiling cancer-associated genetic alterations and molecular classification of cancer in Korean gastric cancer patients |
title_full_unstemmed | Profiling cancer-associated genetic alterations and molecular classification of cancer in Korean gastric cancer patients |
title_short | Profiling cancer-associated genetic alterations and molecular classification of cancer in Korean gastric cancer patients |
title_sort | profiling cancer-associated genetic alterations and molecular classification of cancer in korean gastric cancer patients |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5642524/ https://www.ncbi.nlm.nih.gov/pubmed/29050249 http://dx.doi.org/10.18632/oncotarget.19435 |
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