Publication:
Clonal dynamics monitoring during clinical evolution in chronic lymphocytic leukaemia

Simple item page
dc.contributor.authorGonzález-Rincón, Julia
dc.contributor.authorGómez, Sagrario
dc.contributor.authorMartinez, Nerea
dc.contributor.authorTroulé, Kevin
dc.contributor.authorPerales-Patón, Javier
dc.contributor.authorDerdak, Sophia
dc.contributor.authorBeltrán, Sergi
dc.contributor.authorFernández-Cuevas, Belén
dc.contributor.authorPérez-Sanz, Nuria
dc.contributor.authorNova-Gurumeta, Sara
dc.contributor.authorGut, Ivo
dc.contributor.authorAl-Shahrour, Fatima
dc.contributor.authorPiris, Miguel A
dc.contributor.authorGarcía-Marco, José A
dc.contributor.authorSánchez-Beato, Margarita
dc.contributor.funderMinisterio de Economía y Competitividad (España)
dc.contributor.funderUnión Europea. Fondo Europeo de Desarrollo Regional (FEDER/ERDF)
dc.contributor.funderComunidad de Madrid (España)
dc.contributor.funderFundación para la Investigación Biomédica del Hospital Universitario Puerta de Hierro Majadahonda
dc.contributor.funderAsociación Española Contra el Cáncer
dc.date.accessioned2019-05-22T09:30:19Z
dc.date.available2019-05-22T09:30:19Z
dc.date.issued2019-01-30
dc.description.abstractChronic lymphocytic leukaemia is the most prevalent leukaemia in Western countries. It is an incurable disease characterized by a highly variable clinical course. Chronic lymphocytic leukaemia is an ideal model for studying clonal heterogeneity and dynamics during cancer progression, response to therapy and/or relapse because the disease usually develops over several years. Here we report an analysis by deep sequencing of sequential samples taken at different times from the affected organs of two patients with 12- and 7-year disease courses, respectively. One of the patients followed a linear pattern of clonal evolution, acquiring and selecting new mutations in response to salvage therapy and/or allogeneic transplantation, while the other suffered loss of cellular tumoral clones during progression and histological transformation.es_ES
dc.description.peerreviewedSíes_ES
dc.description.sponsorshipWe are indebted to the patients who contributed to this study. We also thank E. Ramil (Genomics Unit) from IDIPHISA, and C. González-Rincón for her help drawing the figures. This work was supported by the Spanish Ministry of Economy and Competence (MINECO): SAF2013-47416-R; ISCIII-MINECO AES-FEDER (Plan Estatal de I +D + I 2008–2011 and 2013–2016) (PI14/00221 (MSB), PIE14/0064 (MSB), PIE15/0081 (MAP), PI16/01294 (MAP), CIBERONC CB16/12/00291 (MAP)), Madrid Autonomous Community, B2017/BMD3778 (MAP, MSB, FA-S),Hoffmann-La Roche (JAGM); CNIO Bioinformatics Unit work has been supported by Marie-Curie Career Integration Grant CIG334361. J.G.-R. is a recipient of a i-PFIS predoctoral fellowship (IFI14/00003); NM was supported by AECC Scientific Foundation; S.D. was supported by the Torres Quevedo subprogramme (MICINN) under grant agreement PTQ-12-05391. K.T. and J.P.-P. are supported by Severo Ochoa FPI grant doctoral fellowship by the Spanish MINECO. MSB currently holds a Miguel Servet II contract CPII16/00024) supported by ISCIII-MINECO AES-FEDER (Plan Estatal I +D + I 2013–2016) and the Fundación de Investigación Biomédica Puerta de Hierro.es_ES
dc.format.number1es_ES
dc.format.page975es_ES
dc.format.volume9es_ES
dc.identifier.citationSci Rep. 2019;9(1):975.es_ES
dc.identifier.doi10.1038/s41598-018-37389-7es_ES
dc.identifier.e-issn2045-2322es_ES
dc.identifier.issn2045-2322es_ES
dc.identifier.journalScientific reportses_ES
dc.identifier.pubmedID30700761es_ES
dc.identifier.urihttp://hdl.handle.net/20.500.12105/7649
dc.language.isoenges_ES
dc.publisherNature Publishing Group
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/SAF2013-47416-Res_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/PI14/00221es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/PIE14/0064es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/PIE15/0081es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/PI16/01294es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/CB16/12/00291es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/B2017/BMD3778es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/IFI14/00003es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/PTQ-12-05391es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/CPII16/00024es_ES
dc.relation.publisherversionhttps://doi.org/10.1038/s41598-018-37389-7.es_ES
dc.repisalud.institucionCNIOes_ES
dc.repisalud.orgCNIOCNIO::Unidades técnicas::Unidad de Bioinformáticaes_ES
dc.rights.accessRightsopen accesses_ES
dc.rights.licenseAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectACUTE MYELOID-LEUKEMIAes_ES
dc.subjectGENOMEes_ES
dc.subjectMUTATIONSes_ES
dc.subjectASXL1es_ES
dc.titleClonal dynamics monitoring during clinical evolution in chronic lymphocytic leukaemiaes_ES
dc.typejournal articlees_ES
dc.type.hasVersionVoRes_ES
dspace.entity.typePublication
relation.isAuthorOfPublicationb32f5df7-30c2-4a3e-8f98-e59842b85c61
relation.isAuthorOfPublication.latestForDiscoveryb32f5df7-30c2-4a3e-8f98-e59842b85c61
relation.isFunderOfPublication77b2fc20-6311-4e46-98a7-83e46257b93b
relation.isFunderOfPublicationefa64f05-b985-4984-8f1e-5fc4ef21f502
relation.isFunderOfPublicationc87c70a3-e023-4b6b-ac25-1b2d1b483786
relation.isFunderOfPublication3a5c0e1c-f26a-403a-8255-1ed09e657dca
relation.isFunderOfPublication453a1189-9bca-4be8-8d60-695f50fe028b
relation.isFunderOfPublication.latestForDiscovery77b2fc20-6311-4e46-98a7-83e46257b93b
relation.isPublisherOfPublication301fb00e-338e-4f8c-beaa-f9d8f4fefcc0
relation.isPublisherOfPublication.latestForDiscovery301fb00e-338e-4f8c-beaa-f9d8f4fefcc0

Files

Original bundle

Now showing 1 - 5 of 7
Thumbnail Image
Name:
Clonaldynamicsmonitoringduring _2019.pdf
Size:
1.01 MB
Format:
Adobe Portable Document Format
Description:
Download
Thumbnail Image
Name:
Clonaldynamicsmonitoringduring_2019_fig.pdf
Size:
778.92 KB
Format:
Adobe Portable Document Format
Description:
Download
Thumbnail Image
Name:
Clonaldynamicsmonitoringduring_2019_tab.xlsx
Size:
17.04 KB
Format:
Microsoft Excel XML
Description:
Download
Thumbnail Image
Name:
Clonaldynamicsmonitoringduring_2019_tabl2.xlsx
Size:
17.88 KB
Format:
Microsoft Excel XML
Description:
Download
Thumbnail Image
Name:
Clonaldynamicsmonitoringduring_2019_table.xlsx
Size:
13.2 KB
Format:
Microsoft Excel XML
Description:
Download

Collections

Grupos de investigación