Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
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
_version_ 1783273288332476416
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
work_keys_str_mv AT pazhouhandehmehrdad comparativenetworkanalysisofpatientswithnonsmallcelllungcancerandsmokersforrepresentingpotentialtherapeutictargets
AT samieefatemeh comparativenetworkanalysisofpatientswithnonsmallcelllungcancerandsmokersforrepresentingpotentialtherapeutictargets
AT boniaditahereh comparativenetworkanalysisofpatientswithnonsmallcelllungcancerandsmokersforrepresentingpotentialtherapeutictargets
AT khedmatabbasfadaei comparativenetworkanalysisofpatientswithnonsmallcelllungcancerandsmokersforrepresentingpotentialtherapeutictargets
AT vahediensieh comparativenetworkanalysisofpatientswithnonsmallcelllungcancerandsmokersforrepresentingpotentialtherapeutictargets
AT mirdamadimahsa comparativenetworkanalysisofpatientswithnonsmallcelllungcancerandsmokersforrepresentingpotentialtherapeutictargets
AT sigarinaseh comparativenetworkanalysisofpatientswithnonsmallcelllungcancerandsmokersforrepresentingpotentialtherapeutictargets
AT siadatseyeddavar comparativenetworkanalysisofpatientswithnonsmallcelllungcancerandsmokersforrepresentingpotentialtherapeutictargets
AT vazirifarzam comparativenetworkanalysisofpatientswithnonsmallcelllungcancerandsmokersforrepresentingpotentialtherapeutictargets
AT fatehabolfazl comparativenetworkanalysisofpatientswithnonsmallcelllungcancerandsmokersforrepresentingpotentialtherapeutictargets
AT ajorloofaezeh comparativenetworkanalysisofpatientswithnonsmallcelllungcancerandsmokersforrepresentingpotentialtherapeutictargets
AT tafsirielham comparativenetworkanalysisofpatientswithnonsmallcelllungcancerandsmokersforrepresentingpotentialtherapeutictargets
AT ghaneimostafa comparativenetworkanalysisofpatientswithnonsmallcelllungcancerandsmokersforrepresentingpotentialtherapeutictargets
AT mahboudifereidoun comparativenetworkanalysisofpatientswithnonsmallcelllungcancerandsmokersforrepresentingpotentialtherapeutictargets
AT rahimijamnanifatemeh comparativenetworkanalysisofpatientswithnonsmallcelllungcancerandsmokersforrepresentingpotentialtherapeutictargets