Conversion of specific lncRNAs to biomarkers in exhaled breath condensate samples of patients with advanced stage non-small-cell lung cancer

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dc.authorscopusid57216624609
dc.authorscopusid57199652078
dc.authorscopusid6507577336
dc.authorscopusid55682994400
dc.authorscopusid6507122858
dc.authorscopusid56441719900
dc.authorscopusid34880415800
dc.contributor.authorVardarli, Asli Tetik
dc.contributor.authorOzgur, Su
dc.contributor.authorGoksel, Tuncay
dc.contributor.authorKorba, Korcan
dc.contributor.authorKarakus, Hardar Soydaner
dc.contributor.authorAsik, Aycan
dc.contributor.authorPelit, Levent
dc.date.accessioned2024-08-25T18:53:34Z
dc.date.available2024-08-25T18:53:34Z
dc.date.issued2023
dc.departmentEge Üniversitesien_US
dc.description.abstractObjectives: Lung cancer (LC) is one of the most prevalent cancers with the highest fatality rate worldwide. Long noncoding RNAs (lncRNAs) are being considered potential new molecular targets for early diagnosis, follow-up, and individual treatment decisions in LC. Therefore, this study evaluated whether lncRNA expression levels obtained from exhaled breath condensate (EBC) samples play a role in the occurrence of metastasis in the diagnosis and follow-up of patients with advanced lung adenocarcinoma (LA).Methods: A total of 40 patients with advanced primary LA and 20 healthy controls participated in the study. EBC samples were collected from patients (during diagnosis and follow-up) and healthy individuals for molecular analysis. Liquid biopsy samples were also randomly obtained from 10 patients with LA and 10 healthy people. The expression of lncRNA genes, such as MALAT1, HOTAIR, PVT1, NEAT1, ANRIL, and SPRY4-IT1 was analyzed using cfRNA extracted from all clinical samples.Results: In the diagnosis and follow-up of patients with LA, lncRNA HOTAIR (5-fold), PVT1 (7.9-fold), and NEAT1 (12.8-fold), PVT1 (6.8-fold), MALAT1 (8.4-fold) expression levels were significantly higher than those in healthy controls, respectively. Additionally, the distinct lncRNA expression profiles identified in EBC samples imply that decreased ANRIL-NEAT1 and increased ANRIL gene expression levels can be used as biomarkers to predict the development of bone and lung metastases, respectively.Conclusion: EBC is an innovative, easily reproducible approach for predicting the development of metastases, molecular diagnosis, and follow-up of LC. EBC has shown potential in elucidating the molecular structure of LC, monitoring changes, and discovering novel biomarkers.en_US
dc.description.sponsorshipScientific and Technological Research Council of Turkey [TUBITAK-121S932]; Presidency of Strategy and Budget of the Republic of Turkey [2019K12-149080]en_US
dc.description.sponsorshipThe research project received support from the Scientific and Technological Research Council of Turkey (TUBITAK-121S932). The article processing charges were funded by the Presidency of Strategy and Budget of the Republic of Turkey (2019K12-149080).en_US
dc.identifier.doi10.3389/fgene.2023.1200262
dc.identifier.issn1664-8021
dc.identifier.pmid37424727en_US
dc.identifier.scopus2-s2.0-85164600391en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.urihttps://doi.org/10.3389/fgene.2023.1200262
dc.identifier.urihttps://hdl.handle.net/11454/103161
dc.identifier.volume14en_US
dc.identifier.wosWOS:001024389400001en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.language.isoenen_US
dc.publisherFrontiers Media Saen_US
dc.relation.ispartofFrontiers in Geneticsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmz20240825_Gen_US
dc.subjectlung canceren_US
dc.subjectcfRNAen_US
dc.subjectlncRNAen_US
dc.subjectebcen_US
dc.subjectbiomarkeren_US
dc.subjectNoncoding Rnasen_US
dc.subjectNsclc Cellsen_US
dc.subjectProliferationen_US
dc.subjectEpigeneticsen_US
dc.subjectMalat1en_US
dc.titleConversion of specific lncRNAs to biomarkers in exhaled breath condensate samples of patients with advanced stage non-small-cell lung canceren_US
dc.typeArticleen_US

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