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Comparative Network Analysis of Patients with Non-Small Cell Lung Cancer and Smokers for Representing Potential Therapeutic Targets
Cigarette smoking is the leading cause of lung cancer worldwide. In this study, we evaluated the serum autoantibody (AAb) repertoires of non-small cell lung cancer (NSCLC) patients and smokers (SM), leading to the identification of overactivated pathways and hubs involved in the pathogenesis of NSCL...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5653836/ https://www.ncbi.nlm.nih.gov/pubmed/29062084 http://dx.doi.org/10.1038/s41598-017-14195-1 |
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author | Pazhouhandeh, Mehrdad Samiee, Fatemeh Boniadi, Tahereh Khedmat, Abbas Fadaei Vahedi, Ensieh Mirdamadi, Mahsa Sigari, Naseh Siadat, Seyed Davar Vaziri, Farzam Fateh, Abolfazl Ajorloo, Faezeh Tafsiri, Elham Ghanei, Mostafa Mahboudi, Fereidoun Rahimi Jamnani, Fatemeh |
author_facet | Pazhouhandeh, Mehrdad Samiee, Fatemeh Boniadi, Tahereh Khedmat, Abbas Fadaei Vahedi, Ensieh Mirdamadi, Mahsa Sigari, Naseh Siadat, Seyed Davar Vaziri, Farzam Fateh, Abolfazl Ajorloo, Faezeh Tafsiri, Elham Ghanei, Mostafa Mahboudi, Fereidoun Rahimi Jamnani, Fatemeh |
author_sort | Pazhouhandeh, Mehrdad |
collection | PubMed |
description | Cigarette smoking is the leading cause of lung cancer worldwide. In this study, we evaluated the serum autoantibody (AAb) repertoires of non-small cell lung cancer (NSCLC) patients and smokers (SM), leading to the identification of overactivated pathways and hubs involved in the pathogenesis of NSCLC. Surface- and solution-phase biopanning were performed on immunoglobulin G purified from the sera of NSCLC and SM groups. In total, 20 NSCLC- and 12 SM-specific peptides were detected, which were used to generate NSCLC and SM protein datasets. NSCLC- and SM-related proteins were visualized using STRING and Gephi, and their modules were analyzed using Enrichr. By integrating the overrepresented pathways such as pathways in cancer, epithelial growth factor receptor, c-Met, interleukin-4 (IL-4) and IL-6 signaling pathways, along with a set of proteins (e.g. phospholipase D (PLD), IL-4 receptor, IL-17 receptor, laminins, collagens, and mucins) into the PLD pathway and inflammatory cytokines network as the most critical events in both groups, two super networks were made to elucidate new aspects of NSCLC pathogenesis and to determine the influence of cigarette smoking on tumour formation. Taken together, assessment of the AAb repertoires using a systems biology approach can delineate the hidden events involved in various disorders. |
format | Online Article Text |
id | pubmed-5653836 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-56538362017-11-08 Comparative Network Analysis of Patients with Non-Small Cell Lung Cancer and Smokers for Representing Potential Therapeutic Targets Pazhouhandeh, Mehrdad Samiee, Fatemeh Boniadi, Tahereh Khedmat, Abbas Fadaei Vahedi, Ensieh Mirdamadi, Mahsa Sigari, Naseh Siadat, Seyed Davar Vaziri, Farzam Fateh, Abolfazl Ajorloo, Faezeh Tafsiri, Elham Ghanei, Mostafa Mahboudi, Fereidoun Rahimi Jamnani, Fatemeh Sci Rep Article Cigarette smoking is the leading cause of lung cancer worldwide. In this study, we evaluated the serum autoantibody (AAb) repertoires of non-small cell lung cancer (NSCLC) patients and smokers (SM), leading to the identification of overactivated pathways and hubs involved in the pathogenesis of NSCLC. Surface- and solution-phase biopanning were performed on immunoglobulin G purified from the sera of NSCLC and SM groups. In total, 20 NSCLC- and 12 SM-specific peptides were detected, which were used to generate NSCLC and SM protein datasets. NSCLC- and SM-related proteins were visualized using STRING and Gephi, and their modules were analyzed using Enrichr. By integrating the overrepresented pathways such as pathways in cancer, epithelial growth factor receptor, c-Met, interleukin-4 (IL-4) and IL-6 signaling pathways, along with a set of proteins (e.g. phospholipase D (PLD), IL-4 receptor, IL-17 receptor, laminins, collagens, and mucins) into the PLD pathway and inflammatory cytokines network as the most critical events in both groups, two super networks were made to elucidate new aspects of NSCLC pathogenesis and to determine the influence of cigarette smoking on tumour formation. Taken together, assessment of the AAb repertoires using a systems biology approach can delineate the hidden events involved in various disorders. Nature Publishing Group UK 2017-10-23 /pmc/articles/PMC5653836/ /pubmed/29062084 http://dx.doi.org/10.1038/s41598-017-14195-1 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Pazhouhandeh, Mehrdad Samiee, Fatemeh Boniadi, Tahereh Khedmat, Abbas Fadaei Vahedi, Ensieh Mirdamadi, Mahsa Sigari, Naseh Siadat, Seyed Davar Vaziri, Farzam Fateh, Abolfazl Ajorloo, Faezeh Tafsiri, Elham Ghanei, Mostafa Mahboudi, Fereidoun Rahimi Jamnani, Fatemeh Comparative Network Analysis of Patients with Non-Small Cell Lung Cancer and Smokers for Representing Potential Therapeutic Targets |
title | Comparative Network Analysis of Patients with Non-Small Cell Lung Cancer and Smokers for Representing Potential Therapeutic Targets |
title_full | Comparative Network Analysis of Patients with Non-Small Cell Lung Cancer and Smokers for Representing Potential Therapeutic Targets |
title_fullStr | Comparative Network Analysis of Patients with Non-Small Cell Lung Cancer and Smokers for Representing Potential Therapeutic Targets |
title_full_unstemmed | Comparative Network Analysis of Patients with Non-Small Cell Lung Cancer and Smokers for Representing Potential Therapeutic Targets |
title_short | Comparative Network Analysis of Patients with Non-Small Cell Lung Cancer and Smokers for Representing Potential Therapeutic Targets |
title_sort | comparative network analysis of patients with non-small cell lung cancer and smokers for representing potential therapeutic targets |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5653836/ https://www.ncbi.nlm.nih.gov/pubmed/29062084 http://dx.doi.org/10.1038/s41598-017-14195-1 |
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