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Identification of serum proteins and multivariate models for diagnosis and therapeutic monitoring of lung cancer
Lung cancer is one of the most prevalent cancers and has very poor treatment outcome. Biomarkers useful for screening and assessing early therapeutic response may significantly improve the therapeutic outcome but are still lacking. In this study, serum samples from 218 non-small cell lung cancer (NS...
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/PMC5386656/ https://www.ncbi.nlm.nih.gov/pubmed/28121629 http://dx.doi.org/10.18632/oncotarget.14782 |
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author | Ma, Rong Xu, Heng Wu, Jianzhong Sharma, Ashok Bai, Shan Dun, Boying Jing, Changwen Cao, Haixia Wang, Zhuo She, Jin-Xiong Feng, Jifeng |
author_facet | Ma, Rong Xu, Heng Wu, Jianzhong Sharma, Ashok Bai, Shan Dun, Boying Jing, Changwen Cao, Haixia Wang, Zhuo She, Jin-Xiong Feng, Jifeng |
author_sort | Ma, Rong |
collection | PubMed |
description | Lung cancer is one of the most prevalent cancers and has very poor treatment outcome. Biomarkers useful for screening and assessing early therapeutic response may significantly improve the therapeutic outcome but are still lacking. In this study, serum samples from 218 non-small cell lung cancer (NSCLC) patients, 34 small cell lung cancer (SCLC) patients and 171 matched healthy controls from China were analyzed for 11 proteins using the Luminex multiplex assay. Eight of the 11 proteins (OPN, SAA, CRP, CYFRA21.1, CEA, NSE, AGP and HGF) are significantly elevated in NSCLC and SCLC (p = 10(−5)−10(−59)). At the individual protein level, OPN has the best diagnostic value for NSCLC (AUC = 0.92), two acute phase proteins (SAA and CRP) have AUC near 0.83, while CEA and CYFRA21.1 also possess good AUC (0.81 and 0.77, respectively). More importantly, several three-protein combinations that contain OPN and CEA plus one of four proteins (CRP, SAA, CYFRA21.1 or NSE) have excellent diagnostic potential for NSCLC (AUC = 0.96). Four proteins (CYFRA21.1, CRP, SAA and NSE) are severely reduced and three proteins (OPN, MIF and NSE) are moderately decreased after platinum-based chemotherapy. Therapeutic response index (TRI) computed with 3–5 proteins suggests that approximately 25% of the NSCLC patients respond well to the therapy and TRI is significantly correlated with pre-treatment protein levels. Our data suggest that therapeutic response in NSCLC patients can be effectively measured but personalized biomarkers may be needed to monitor different subsets of patients. |
format | Online Article Text |
id | pubmed-5386656 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-53866562017-04-26 Identification of serum proteins and multivariate models for diagnosis and therapeutic monitoring of lung cancer Ma, Rong Xu, Heng Wu, Jianzhong Sharma, Ashok Bai, Shan Dun, Boying Jing, Changwen Cao, Haixia Wang, Zhuo She, Jin-Xiong Feng, Jifeng Oncotarget Research Paper Lung cancer is one of the most prevalent cancers and has very poor treatment outcome. Biomarkers useful for screening and assessing early therapeutic response may significantly improve the therapeutic outcome but are still lacking. In this study, serum samples from 218 non-small cell lung cancer (NSCLC) patients, 34 small cell lung cancer (SCLC) patients and 171 matched healthy controls from China were analyzed for 11 proteins using the Luminex multiplex assay. Eight of the 11 proteins (OPN, SAA, CRP, CYFRA21.1, CEA, NSE, AGP and HGF) are significantly elevated in NSCLC and SCLC (p = 10(−5)−10(−59)). At the individual protein level, OPN has the best diagnostic value for NSCLC (AUC = 0.92), two acute phase proteins (SAA and CRP) have AUC near 0.83, while CEA and CYFRA21.1 also possess good AUC (0.81 and 0.77, respectively). More importantly, several three-protein combinations that contain OPN and CEA plus one of four proteins (CRP, SAA, CYFRA21.1 or NSE) have excellent diagnostic potential for NSCLC (AUC = 0.96). Four proteins (CYFRA21.1, CRP, SAA and NSE) are severely reduced and three proteins (OPN, MIF and NSE) are moderately decreased after platinum-based chemotherapy. Therapeutic response index (TRI) computed with 3–5 proteins suggests that approximately 25% of the NSCLC patients respond well to the therapy and TRI is significantly correlated with pre-treatment protein levels. Our data suggest that therapeutic response in NSCLC patients can be effectively measured but personalized biomarkers may be needed to monitor different subsets of patients. Impact Journals LLC 2017-01-21 /pmc/articles/PMC5386656/ /pubmed/28121629 http://dx.doi.org/10.18632/oncotarget.14782 Text en Copyright: © 2017 Ma 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 Ma, Rong Xu, Heng Wu, Jianzhong Sharma, Ashok Bai, Shan Dun, Boying Jing, Changwen Cao, Haixia Wang, Zhuo She, Jin-Xiong Feng, Jifeng Identification of serum proteins and multivariate models for diagnosis and therapeutic monitoring of lung cancer |
title | Identification of serum proteins and multivariate models for diagnosis and therapeutic monitoring of lung cancer |
title_full | Identification of serum proteins and multivariate models for diagnosis and therapeutic monitoring of lung cancer |
title_fullStr | Identification of serum proteins and multivariate models for diagnosis and therapeutic monitoring of lung cancer |
title_full_unstemmed | Identification of serum proteins and multivariate models for diagnosis and therapeutic monitoring of lung cancer |
title_short | Identification of serum proteins and multivariate models for diagnosis and therapeutic monitoring of lung cancer |
title_sort | identification of serum proteins and multivariate models for diagnosis and therapeutic monitoring of lung cancer |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5386656/ https://www.ncbi.nlm.nih.gov/pubmed/28121629 http://dx.doi.org/10.18632/oncotarget.14782 |
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