dc.contributor.author | Sánchez, Lizet | |
dc.contributor.author | Lorenzo-Luaces, Patricia | |
dc.contributor.author | Viada, Carmen | |
dc.contributor.author | Galán, Yaima | |
dc.contributor.author | Ballesteros Rodríguez, Francisco Javier | |
dc.contributor.author | Crombet, Tania | |
dc.contributor.author | Lage, Agustín | |
dc.date.accessioned | 2015-10-01T15:35:08Z | |
dc.date.available | 2015-10-01T15:35:08Z | |
dc.date.issued | 2014-12-11 | |
dc.identifier.citation | BMC Cancer 14 : (2014) //Article ID 933 | es |
dc.identifier.issn | 1471-2407 | |
dc.identifier.uri | http://hdl.handle.net/10810/15743 | |
dc.description.abstract | Background: Recently, with the access of low toxicity biological and targeted therapies, evidence of the existence of a long-term survival subpopulation of cancer patients is appearing. We have studied an unselected population with advanced lung cancer to look for evidence of multimodality in survival distribution, and estimate the proportion of long-term survivors.
Methods: We used survival data of 4944 patients with non-small-cell lung cancer (NSCLC) stages IIIb-IV at diagnostic, registered in the National Cancer Registry of Cuba (NCRC) between January 1998 and December 2006. We fitted one-component survival model and two-component mixture models to identify short-and long-term survivors. Bayesian information criterion was used for model selection.
Results: For all of the selected parametric distributions the two components model presented the best fit. The population with short-term survival (almost 4 months median survival) represented 64% of patients. The population of long-term survival included 35% of patients, and showed a median survival around 12 months. None of the patients of short-term survival was still alive at month 24, while 10% of the patients of long-term survival died afterwards.
Conclusions: There is a subgroup showing long-term evolution among patients with advanced lung cancer. As survival rates continue to improve with the new generation of therapies, prognostic models considering short-and long-term survival subpopulations should be considered in clinical research. | es |
dc.description.sponsorship | LS, PL, CV, TC, AL were funded by their employer the Center of Molecular Immunology. YG is funded by the Ministry of Health. JB received no funding. We thank Dr. Camilo Rodriguez for their contribution to this work and for facilitate literature needed for manuscript writing. | es |
dc.language.iso | eng | es |
dc.publisher | Biomed Central | es |
dc.rights | info:eu-repo/semantics/openAccess | es |
dc.subject | long-term survivors | es |
dc.subject | survival | es |
dc.subject | mixture models | es |
dc.subject | non-small-cell lung cancer | es |
dc.subject | population- based cancer | es |
dc.subject | cure fraction | es |
dc.subject | folluw-up | es |
dc.subject | models | es |
dc.subject | stage | es |
dc.subject | biotechnology | es |
dc.title | Is there a subgroup of long-term evolution among patients with advanced lung cancer?: Hints from the analysis of survival curves from cancer registry data | es |
dc.type | info:eu-repo/semantics/article | es |
dc.rights.holder | © 2014 Sanchez et al.; licensee BioMed Central. This is an Open Access article distributed under the terms of the Creative
Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and
reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain
Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article,
unless otherwise stated | es |
dc.relation.publisherversion | http://www.biomedcentral.com/1471-2407/14/933/abstract | es |
dc.identifier.doi | 10.1186/1471-2407-14-933 | |
dc.departamentoes | Neurociencias | es_ES |
dc.departamentoeu | Neurozientziak | es_ES |
dc.subject.categoria | GENETICS AND HEREDITY | |
dc.subject.categoria | ONCOLOGY | |