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Blood
Article
Data sources: UnpayWall
Blood
Article . 2008 . Peer-reviewed
Data sources: Crossref
Blood
Article . 2008
versions View all 2 versions

Host immune gene polymorphisms in combination with clinical and demographic factors predict late survival in diffuse large B-cell lymphoma patients in the pre-rituximab era

Authors: Thomas M, Habermann; Sophia S, Wang; Matthew J, Maurer; Lindsay M, Morton; Charles F, Lynch; Stephen M, Ansell; Patricia, Hartge; +7 Authors

Host immune gene polymorphisms in combination with clinical and demographic factors predict late survival in diffuse large B-cell lymphoma patients in the pre-rituximab era

Abstract

AbstractTo evaluate the hypothesis that host germ line variation in immune genes is associated with overall survival in diffuse large B-cell lymphoma (DLBCL), we genotyped 73 single nucleotide polymorphisms (SNPs) from 44 candidate genes in 365 DLBCL patients diagnosed from 1998 to 2000. We estimated hazard ratios (HRs) and 95% confidence intervals (CIs) for the association of SNPs with survival after adjusting for clinical factors. During follow-up, 96 (26%) patients died, and the median follow-up was 57 months for surviving patients. The observed survival of this cohort was consistent with population-based estimates conditioned on surviving 12 months. An IL10 haplotype (global P = .03) and SNPs in IL8RB (rs1126580; HRAG/GG = 2.11; CI, 1.28-3.50), IL1A (rs1800587; HRCT/TT = 1.90; CI, 1.26-2.87), TNF (rs1800629; HRAG/GG = 1.44; CI, 0.95-2.18), and IL4R (rs2107356; HRCC/CT = 1.97; CI, 1.01-3.83) were the strongest predictors of overall survival. A risk score that combined the latter 4 SNPs with clinical factors was strongly associated with survival in a Cox model (P = 6.0 × 10−11). Kaplan-Meier 5-year survival estimates for low, intermediate-low, intermediate-high, and high-risk patients were 94%, 79%, 60%, and 48%, respectively. These data support a role for germ line variation in immune genes, particularly genes associated with a proinflammatory state, as predictors of late survival in DLBCL.

Keywords

Adult, Male, Time Factors, Antibodies, Monoclonal, Antineoplastic Agents, Middle Aged, Polymorphism, Single Nucleotide, Survival Analysis, United States, Antibodies, Monoclonal, Murine-Derived, Haplotypes, ROC Curve, Multivariate Analysis, Humans, Female, Lymphoma, Large B-Cell, Diffuse, Rituximab, Aged, Demography, Proportional Hazards Models

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    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
68
Top 10%
Top 10%
Top 10%
bronze