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Joint transcriptomic analysis of lung cancer and other lung diseases

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dc.contributor.authorOtálora Otálora, Beatriz Andrea
dc.contributor.authorFlorez, Mauro
dc.contributor.authorLópez Kleine, Liliana
dc.contributor.authorCanas, Alejandra
dc.contributor.authorGrajales Urrego, Diana Marcela
dc.contributor.authorRojas, Adriana
dc.contributor.corporatenamePontificia Universidad Javeriana. Facultad de Medicina. Instituto de Genética Humana. Grupo de investigación Instituto de Genética Humana
dc.contributor.corporatenamePontificia Universidad Javeriana. Facultad de Medicina. Departamento de Medicina Interna. Neumología
dc.contributor.javerianateacherCanas, Alejandra
dc.contributor.javerianateacherRojas, Adriana
dc.date.accessioned2020-03-11T21:09:50Z
dc.date.accessioned2020-04-15T13:30:37Z
dc.date.available2020-03-11T21:09:50Z
dc.date.available2020-04-15T13:30:37Z
dc.date.created2019-12-06
dc.description.abstractenglishBackground: Epidemiological and clinical evidence points cancer comorbidity with pulmonary chronic disease. The acquisition of some hallmarks of cancer by cells affected with lung pathologies as a cell adaptive mechanism to a shear stress, suggests that could be associated with the establishment of tumoral processes. Objective: To propose a bioinformatic pipeline for the identification of all deregulated genes and the transcriptional regulators (TFs) that are coexpressed during lung cancer establishment, and therefore could be important for the acquisition of the hallmarks of cancer. Methods: Ten microarray datasets (six of lung cancer, four of lung diseases) comparing normal and diseases-related lung tissue were selected to identify hub differentiated expressed genes (DEGs) in common between lung pathologies and lung cancer, along with transcriptional regulators through the utilization of specialized libraries from R language. DAVID bioinformatics tool for gene enrichment analyses was used to identify genes with experimental evidence associated to tumoral processes and signaling pathways. Coexpression networks of DEGs and TFs in lung cancer establishment were created with Coexnet library, and a survival analysis of the main hub genes was made. Results: Two hundred ten DEGs were identified in common between lung cancer and other lung diseases related to the acquisition of tumoral characteristics, which are coexpressed in a lung cancer network with TFs, suggesting that could be related to the establishment of the tumoral pathology in lung. The comparison of the coexpression networks of lung cancer and other lung diseases allowed the identification of common connectivity patterns (CCPs) with DEGs and TFs correlated to important tumoral processes and signaling pathways, that haven´t been studied to experimentally validate their role in the early stages of lung cancer. Some of the TFs identified showed a correlation between its expression levels and the survival of lung cancer patients. Conclusion: Our findings indicate that lung diseases share genes with lung cancer which are coexpressed in lung cancer, and might be able to explain the epidemiological observations that point to direct and inverse comorbid associations between some chronic lung diseases and lung cancer and represent a complex transcriptomic scenario.spa
dc.description.comunidadPacientes con Cáncer de pulmón
dc.description.indexingRevista Internacional - Indexada
dc.description.orcidhttps://orcid.org/0000-0003-3975-2835
dc.description.orcidhttps://orcid.org/0000-0001-8528-4433
dc.description.paginas1 - 18spa
dc.description.publindexA1
dc.description.quartilescopusQ1spa
dc.description.quartilewosQ2spa
dc.description.tipoarticuloArtículo de investigaciónspa
dc.formatPDFspa
dc.format.mimetypeapplication/pdfspa
dc.format.soportePapel / Electrónicospa
dc.identifierhttps://www.frontiersin.org/articles/10.3389/fgene.2019.01260/full#h1spa
dc.identifier.doihttps://doi.org/10.3389/fgene.2019.01260spa
dc.identifier.issn1664-8021spa
dc.identifier.urihttp://hdl.handle.net/10554/47594
dc.languageeng
dc.rights.licenceAtribución-NoComercial 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.sourceFrontiers in Genetics; Volumen 10 (2019)spa
dc.subject.keywordLung cancerspa
dc.subject.keywordInterstitial lung diseases (ILDs)spa
dc.subject.keywordPulmonary arterial hypertension (PAH)spa
dc.subject.keywordDifferentially expressed genes (DEGs)spa
dc.subject.keywordCoexpression networksspa
dc.subject.keywordEarly detection and prognosis biomarkersspa
dc.subject.keywordSurvivalspa
dc.titleJoint transcriptomic analysis of lung cancer and other lung diseasesspa
dc.typeinfo:eu-repo/semantics/article
dc.type.hasversionhttp://purl.org/coar/version/c_ab4af688f83e57aa
dc.type.localArtículo de revistaspa

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