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Differential prognostic impact of GELTAMO-IPI in cell of origin subtypes of Diffuse Large B Cell Lymphoma as defined by the Hans algorithm.

dc.contributor.authorMontalbán, Carlos
dc.contributor.authorDíaz-López, Antonio
dc.contributor.authorMartín, Alejandro
dc.contributor.authorBaile, Mónica
dc.contributor.authorSanchez, José M
dc.contributor.authorSancho, Juan M
dc.contributor.authorGarcía, Olga
dc.contributor.authorNovelli, Silvana
dc.contributor.authorMonter-Rovira, Anna
dc.contributor.authorSalar, Antonio
dc.contributor.authorBastos, Mariana
dc.contributor.authorGutiérrez, Antonio
dc.contributor.authorBento, Leyre
dc.contributor.authorCórdoba, Raul
dc.contributor.authorArquero, Teresa
dc.contributor.authorGonzález de Villambrosia, Sonia
dc.contributor.authorBarranco, Gilberto
dc.contributor.authorDe Oña, Raquel
dc.contributor.authorLópez Guillermo, Armando
dc.contributor.authorRodriguez Salazar, María J
dc.contributor.authorDomínguez, Juan F
dc.contributor.authorFernández, Rubén
dc.contributor.authorQueizan, José A
dc.contributor.authorRodríguez, José
dc.contributor.authorAbraira, Victor
dc.contributor.authorGarcía, Juan F
dc.contributor.authorGELTAMO-IPI Project Investigators
dc.date.accessioned2023-01-25T10:20:46Z
dc.date.available2023-01-25T10:20:46Z
dc.date.issued2018-07-05
dc.description.abstractThe Grupo Español de Linfomas y Trasplantes de Médula Ósea International Prognostic Index (GELTAMO-IPI) stratifies four risk groups in diffuse large B cell lymphoma (DLBCL) patients treated with immunochaemotherapy: low (LR), low-intermediate (LIR), high-intermediate (HIR), and high (HR). The present study explores the effect of GELTAMO-IPI in the DLBCL subtypes defined by the immunohistochaemistry-based Hans algorithm, Germinal Centre B (GCB) and non-GCB. A multivariate Cox regression model including GELTAMO-IPI risk groups, cell of origin (COO) subtypes and their product was developed to evaluate interaction between the two variables. The COO subtype was available in 839 patients (380 GCB; 459 non-GCB) and both the GELTAMO-IPI and the COO subtype in 780 (353 GCB; 427 non-GCB). There were no differences in 5-year overall survival (OS) between the two subtypes. The Cox model revealed interaction between the GELTAMO-IPI risk groups and the COO subtypes (P = 0·005), indicating that GELTAMO-IPI has a different effect in the two subtypes. Three risk groups were stratified in both COO subtypes: in the GCB subtype, LR, LIR and the combined HIR+HR had 5-year OS of 100%, 75% and 52%, respectively. In the non-GCB subtype, LR, the combined LIR+HIR and HR had a 5-year OS of, 97%, 82% and 35% respectively. GELTAMO-IPI identifies a genuine poor outcome group of patients in the DLBCL non-GCB subtype.
dc.identifier.doi10.1111/bjh.15446
dc.identifier.essn1365-2141
dc.identifier.pmid29978453
dc.identifier.unpaywallURLhttps://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/bjh.15446
dc.identifier.urihttp://hdl.handle.net/10668/12684
dc.issue.number4
dc.journal.titleBritish journal of haematology
dc.journal.titleabbreviationBr J Haematol
dc.language.isoen
dc.organizationHospital Universitario Virgen del Rocío
dc.page.number534-541
dc.pubmedtypeJournal Article
dc.pubmedtypeResearch Support, Non-U.S. Gov't
dc.rights.accessRightsopen access
dc.subjectGELTAMO-IPI
dc.subjectHans algorithm
dc.subjectcell of origin subtyping
dc.subjectdiffuse large B cell lymphoma
dc.subjectimmunohistochemistry
dc.subject.meshAdult
dc.subject.meshAged
dc.subject.meshAlgorithms
dc.subject.meshAntineoplastic Combined Chemotherapy Protocols
dc.subject.meshDisease-Free Survival
dc.subject.meshFemale
dc.subject.meshGerminal Center
dc.subject.meshHumans
dc.subject.meshImmunotherapy
dc.subject.meshLymphoma, Large B-Cell, Diffuse
dc.subject.meshMale
dc.subject.meshMiddle Aged
dc.subject.meshPrognosis
dc.subject.meshRisk Assessment
dc.subject.meshRisk Factors
dc.subject.meshSurvival Rate
dc.titleDifferential prognostic impact of GELTAMO-IPI in cell of origin subtypes of Diffuse Large B Cell Lymphoma as defined by the Hans algorithm.
dc.typeresearch article
dc.type.hasVersionVoR
dc.volume.number182
dspace.entity.typePublication

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