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Clinical factors influencing long-term survival in a real-life cohort of early stage non-small-cell lung cancer patients in Spain

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dc.contributor.authorTorrente, Maria
dc.contributor.authorSousa, Pedro A.
dc.contributor.authorGuerreiro, Gracinda R.
dc.contributor.authorFranco, Fabio
dc.contributor.authorHernández, Roberto
dc.contributor.authorParejo, Consuelo
dc.contributor.authorSousa, Alexandre
dc.contributor.authorCampo-Cañaveral, José Luis
dc.contributor.authorPimentão, João
dc.contributor.authorProvencio, Mariano
dc.contributor.institutionDEE - Departamento de Engenharia Electrotécnica e de Computadores
dc.contributor.institutionCMA - Centro de Matemática e Aplicações
dc.contributor.institutionDM - Departamento de Matemática
dc.contributor.pblFrontiers Media
dc.date.accessioned2023-07-13T22:18:10Z
dc.date.available2023-07-13T22:18:10Z
dc.date.issued2023
dc.descriptionFunding Information: This work was supported in part by Centro de Matematica e Aplicaçoes, UID (MAT/00297/2020), Portuguese Foundation of Science and Technology. Acknowledgments Publisher Copyright: Copyright © 2023 Torrente, Sousa, Guerreiro, Franco, Hernández, Parejo, Sousa, Campo-Cañaveral, Pimentão and Provencio.
dc.description.abstractBackground: Current prognosis in oncology is reduced to the tumour stage and performance status, leaving out many other factors that may impact the patient´s management. Prognostic stratification of early stage non-small-cell lung cancer (NSCLC) patients with poor prognosis after surgery is of considerable clinical relevance. The objective of this study was to identify clinical factors associated with long-term overall survival in a real-life cohort of patients with stage I-II NSCLC and develop a prognostic model that identifies features associated with poor prognosis and stratifies patients by risk. Methods: This is a cohort study including 505 patients, diagnosed with stage I-II NSCLC, who underwent curative surgical procedures at a tertiary hospital in Madrid, Spain. Results: Median OS (in months) was 63.7 (95% CI, 58.7-68.7) for the whole cohort, 62.4 in patients submitted to surgery and 65 in patients submitted to surgery and adjuvant treatment. The univariate analysis estimated that a female diagnosed with NSCLC has a 0.967 (95% CI 0.936 - 0.999) probability of survival one year after diagnosis and a 0.784 (95% CI 0.712 - 0.863) five years after diagnosis. For males, these probabilities drop to 0.904 (95% CI 0.875 - 0.934) and 0.613 (95% CI 0.566 - 0.665), respectively. Multivariable analysis shows that sex, age at diagnosis, type of treatment, ECOG-PS, and stage are statistically significant variables (p<0.10). According to the Cox regression model, age over 50, ECOG-PS 1 or 2, and stage ll are risk factors for survival (HR>1) while adjuvant chemotherapy is a good prognostic variable (HR<1). The prognostic model identified a high-risk profile defined by males over 71 years old, former smokers, treated with surgery, ECOG-PS 2. Conclusions: The results of the present study found that, overall, adjuvant chemotherapy was associated with the best long-term OS in patients with resected NSCLC. Age, stage and ECOG-PS were also significant factors to take into account when making decisions regarding adjuvant therapy.en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent12
dc.format.extent2314161
dc.identifier.doi10.3389/fonc.2023.1074337
dc.identifier.issn2234-943X
dc.identifier.otherPURE: 66129096
dc.identifier.otherPURE UUID: e32b0897-5dd7-41fa-bc0f-a14f02a47e57
dc.identifier.otherScopus: 85149843633
dc.identifier.otherWOS: 000945563200001
dc.identifier.otherPubMed: 36910629
dc.identifier.otherPubMedCentral: PMC9996278
dc.identifier.urihttp://hdl.handle.net/10362/155247
dc.identifier.urlhttps://www.scopus.com/pages/publications/85149843633
dc.language.isoeng
dc.peerreviewedyes
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/875160/EU
dc.relationCancer Long Survivors Artificial Intelligence Follow Up
dc.subjectearly stage
dc.subjectlong-term survival
dc.subjectnon-small cell lung cancer
dc.subjectprognostic model
dc.subjectrisk stratification
dc.subjectOncology
dc.subjectCancer Research
dc.subjectSDG 3 - Good Health and Well-being
dc.titleClinical factors influencing long-term survival in a real-life cohort of early stage non-small-cell lung cancer patients in Spainen
dc.typejournal article
degois.publication.titleFrontiers in Oncology
degois.publication.volume13
dspace.entity.typePublication
oaire.awardNumber875160
oaire.awardTitleCancer Long Survivors Artificial Intelligence Follow Up
oaire.awardURIinfo:eu-repo/grantAgreement/EC/H2020/875160/EU
oaire.fundingStreamH2020
project.funder.identifierhttp://doi.org/10.13039/501100008530
project.funder.nameEuropean Commission
rcaap.rightsopenAccess
relation.isProjectOfPublicatione350300f-050a-437a-bab8-446ee545907d
relation.isProjectOfPublication.latestForDiscoverye350300f-050a-437a-bab8-446ee545907d

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