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Panels of tumor-derived RNA markers in peripheral blood of patients with non-small cell lung cancer: their dependence on age, gender and clinical stages
Peripheral blood mononuclear cell (PBMC)-derived gene signatures were investigated for their potential use in the early detection of non-small cell lung cancer (NSCLC). In our study, 187 patients with NSCLC and 310 age- and gender-matched controls, and an independent set containing 29 patients for v...
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/PMC5226605/ https://www.ncbi.nlm.nih.gov/pubmed/27418131 http://dx.doi.org/10.18632/oncotarget.10558 |
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author | Chian, Chih-Feng Hwang, Yi-Ting Terng, Harn-Jing Lee, Shih-Chun Chao, Tsui-Yi Chang, Hung Ho, Ching-Liang Wu, Yi-Ying Perng, Wann-Cherng |
author_facet | Chian, Chih-Feng Hwang, Yi-Ting Terng, Harn-Jing Lee, Shih-Chun Chao, Tsui-Yi Chang, Hung Ho, Ching-Liang Wu, Yi-Ying Perng, Wann-Cherng |
author_sort | Chian, Chih-Feng |
collection | PubMed |
description | Peripheral blood mononuclear cell (PBMC)-derived gene signatures were investigated for their potential use in the early detection of non-small cell lung cancer (NSCLC). In our study, 187 patients with NSCLC and 310 age- and gender-matched controls, and an independent set containing 29 patients for validation were included. Eight significant NSCLC-associated genes were identified, including DUSP6, EIF2S3, GRB2, MDM2, NF1, POLDIP2, RNF4, and WEE1. The logistic model containing these significant markers was able to distinguish subjects with NSCLC from controls with an excellent performance, 80.7% sensitivity, 90.6% specificity, and an area under the receiver operating characteristic curve (AUC) of 0.924. Repeated random sub-sampling for 100 times was used to validate the performance of classification training models with an average AUC of 0.92. Additional cross-validation using the independent set resulted in the sensitivity 75.86%. Furthermore, six age/gender-dependent genes: CPEB4, EIF2S3, GRB2, MCM4, RNF4, and STAT2 were identified using age and gender stratification approach. STAT2 and WEE1 were explored as stage-dependent using stage-stratified subpopulation. We conclude that these logistic models using different signatures for total and stratified samples are potential complementary tools for assessing the risk of NSCLC. |
format | Online Article Text |
id | pubmed-5226605 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-52266052017-01-18 Panels of tumor-derived RNA markers in peripheral blood of patients with non-small cell lung cancer: their dependence on age, gender and clinical stages Chian, Chih-Feng Hwang, Yi-Ting Terng, Harn-Jing Lee, Shih-Chun Chao, Tsui-Yi Chang, Hung Ho, Ching-Liang Wu, Yi-Ying Perng, Wann-Cherng Oncotarget Research Paper Peripheral blood mononuclear cell (PBMC)-derived gene signatures were investigated for their potential use in the early detection of non-small cell lung cancer (NSCLC). In our study, 187 patients with NSCLC and 310 age- and gender-matched controls, and an independent set containing 29 patients for validation were included. Eight significant NSCLC-associated genes were identified, including DUSP6, EIF2S3, GRB2, MDM2, NF1, POLDIP2, RNF4, and WEE1. The logistic model containing these significant markers was able to distinguish subjects with NSCLC from controls with an excellent performance, 80.7% sensitivity, 90.6% specificity, and an area under the receiver operating characteristic curve (AUC) of 0.924. Repeated random sub-sampling for 100 times was used to validate the performance of classification training models with an average AUC of 0.92. Additional cross-validation using the independent set resulted in the sensitivity 75.86%. Furthermore, six age/gender-dependent genes: CPEB4, EIF2S3, GRB2, MCM4, RNF4, and STAT2 were identified using age and gender stratification approach. STAT2 and WEE1 were explored as stage-dependent using stage-stratified subpopulation. We conclude that these logistic models using different signatures for total and stratified samples are potential complementary tools for assessing the risk of NSCLC. Impact Journals LLC 2016-07-13 /pmc/articles/PMC5226605/ /pubmed/27418131 http://dx.doi.org/10.18632/oncotarget.10558 Text en Copyright: © 2016 Chian et al. http://creativecommons.org/licenses/by/2.5/ 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 Chian, Chih-Feng Hwang, Yi-Ting Terng, Harn-Jing Lee, Shih-Chun Chao, Tsui-Yi Chang, Hung Ho, Ching-Liang Wu, Yi-Ying Perng, Wann-Cherng Panels of tumor-derived RNA markers in peripheral blood of patients with non-small cell lung cancer: their dependence on age, gender and clinical stages |
title | Panels of tumor-derived RNA markers in peripheral blood of patients with non-small cell lung cancer: their dependence on age, gender and clinical stages |
title_full | Panels of tumor-derived RNA markers in peripheral blood of patients with non-small cell lung cancer: their dependence on age, gender and clinical stages |
title_fullStr | Panels of tumor-derived RNA markers in peripheral blood of patients with non-small cell lung cancer: their dependence on age, gender and clinical stages |
title_full_unstemmed | Panels of tumor-derived RNA markers in peripheral blood of patients with non-small cell lung cancer: their dependence on age, gender and clinical stages |
title_short | Panels of tumor-derived RNA markers in peripheral blood of patients with non-small cell lung cancer: their dependence on age, gender and clinical stages |
title_sort | panels of tumor-derived rna markers in peripheral blood of patients with non-small cell lung cancer: their dependence on age, gender and clinical stages |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5226605/ https://www.ncbi.nlm.nih.gov/pubmed/27418131 http://dx.doi.org/10.18632/oncotarget.10558 |
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