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GAB2 Amplification in Squamous Cell Lung Cancer of Non-Smokers
Lung squamous cell cancer (SCC) is typically found in smokers and has a very low incidence in non-smokers, indicating differences in the tumor biology of lung SCC in smokers and non-smokers. However, the specific mutations that drive tumor growth in non-smokers have not been identified. To identify...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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The Korean Academy of Medical Sciences
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5639058/ https://www.ncbi.nlm.nih.gov/pubmed/28960030 http://dx.doi.org/10.3346/jkms.2017.32.11.1784 |
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author | Park, Yu Rang Bae, Soo Hyeon Ji, Wonjun Seo, Eul-Ju Lee, Jae Cheol Kim, Hyeong Ryul Jang, Se Jin Choi, Chang-Min |
author_facet | Park, Yu Rang Bae, Soo Hyeon Ji, Wonjun Seo, Eul-Ju Lee, Jae Cheol Kim, Hyeong Ryul Jang, Se Jin Choi, Chang-Min |
author_sort | Park, Yu Rang |
collection | PubMed |
description | Lung squamous cell cancer (SCC) is typically found in smokers and has a very low incidence in non-smokers, indicating differences in the tumor biology of lung SCC in smokers and non-smokers. However, the specific mutations that drive tumor growth in non-smokers have not been identified. To identify mutations in lung SCC of non-smokers, we performed a genetic analysis using arrays comparative genomic hybridization (ArrayCGH). We analyzed 19 patients with lung SCC who underwent surgical treatment between April 2005 and April 2015. Clinical characteristics were reviewed, and DNA was extracted from fresh frozen lung cancer specimens. All of copy number alterations from ArrayCGH were validated using The Cancer Genome Atlas (TCGA) copy number variation (CNV) data of lung SCC. We examined the frequency of copy number changes according to the smoking status (non-smoker [n = 8] or smoker [n = 11]). We identified 16 significantly altered regions from ArrayCGH data, three gain and four loss regions overlapped with the TCGA lung squamous cell carcinoma (LUSC) patients. Within these overlapped significant regions, we detected 15 genes that have been reported in the Cancer Gene census. We also found that the proto-oncogene GAB2 (11q14.1) was significantly amplified in non-smokers patients and vice versa in both ArrayCGH and TCGA data. Immunohistochemical analyses showed that GAB2 protein was relatively upregulated in non-smoker than smoker tissues (37.5% vs. 9.0%, P = 0.007). GAB2 amplification may have an important role in the development of lung SCC in non-smokers. GAB2 may represent a potential biomarker for lung SCC in non-smokers. |
format | Online Article Text |
id | pubmed-5639058 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | The Korean Academy of Medical Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-56390582017-11-01 GAB2 Amplification in Squamous Cell Lung Cancer of Non-Smokers Park, Yu Rang Bae, Soo Hyeon Ji, Wonjun Seo, Eul-Ju Lee, Jae Cheol Kim, Hyeong Ryul Jang, Se Jin Choi, Chang-Min J Korean Med Sci Original Article Lung squamous cell cancer (SCC) is typically found in smokers and has a very low incidence in non-smokers, indicating differences in the tumor biology of lung SCC in smokers and non-smokers. However, the specific mutations that drive tumor growth in non-smokers have not been identified. To identify mutations in lung SCC of non-smokers, we performed a genetic analysis using arrays comparative genomic hybridization (ArrayCGH). We analyzed 19 patients with lung SCC who underwent surgical treatment between April 2005 and April 2015. Clinical characteristics were reviewed, and DNA was extracted from fresh frozen lung cancer specimens. All of copy number alterations from ArrayCGH were validated using The Cancer Genome Atlas (TCGA) copy number variation (CNV) data of lung SCC. We examined the frequency of copy number changes according to the smoking status (non-smoker [n = 8] or smoker [n = 11]). We identified 16 significantly altered regions from ArrayCGH data, three gain and four loss regions overlapped with the TCGA lung squamous cell carcinoma (LUSC) patients. Within these overlapped significant regions, we detected 15 genes that have been reported in the Cancer Gene census. We also found that the proto-oncogene GAB2 (11q14.1) was significantly amplified in non-smokers patients and vice versa in both ArrayCGH and TCGA data. Immunohistochemical analyses showed that GAB2 protein was relatively upregulated in non-smoker than smoker tissues (37.5% vs. 9.0%, P = 0.007). GAB2 amplification may have an important role in the development of lung SCC in non-smokers. GAB2 may represent a potential biomarker for lung SCC in non-smokers. The Korean Academy of Medical Sciences 2017-11 2017-09-15 /pmc/articles/PMC5639058/ /pubmed/28960030 http://dx.doi.org/10.3346/jkms.2017.32.11.1784 Text en © 2017 The Korean Academy of Medical Sciences. https://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Park, Yu Rang Bae, Soo Hyeon Ji, Wonjun Seo, Eul-Ju Lee, Jae Cheol Kim, Hyeong Ryul Jang, Se Jin Choi, Chang-Min GAB2 Amplification in Squamous Cell Lung Cancer of Non-Smokers |
title | GAB2 Amplification in Squamous Cell Lung Cancer of Non-Smokers |
title_full | GAB2 Amplification in Squamous Cell Lung Cancer of Non-Smokers |
title_fullStr | GAB2 Amplification in Squamous Cell Lung Cancer of Non-Smokers |
title_full_unstemmed | GAB2 Amplification in Squamous Cell Lung Cancer of Non-Smokers |
title_short | GAB2 Amplification in Squamous Cell Lung Cancer of Non-Smokers |
title_sort | gab2 amplification in squamous cell lung cancer of non-smokers |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5639058/ https://www.ncbi.nlm.nih.gov/pubmed/28960030 http://dx.doi.org/10.3346/jkms.2017.32.11.1784 |
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