| Literature DB >> 26289217 |
Ashley D Staton1, Jean L Koff1, Qiushi Chen2, Turgay Ayer2, Christopher R Flowers1.
Abstract
Current standard of care therapy for diffuse large B-cell lymphoma (DLBCL) cures a majority of patients with additional benefit in salvage therapy and autologous stem cell transplant for patients who relapse. The next generation of prognostic models for DLBCL aims to more accurately stratify patients for novel therapies and risk-adapted treatment strategies. This review discusses the significance of host genetic and tumor genomic alterations seen in DLBCL, clinical and epidemiologic factors, and how each can be integrated into risk stratification algorithms. In the future, treatment prediction and prognostic model development and subsequent validation will require data from a large number of DLBCL patients to establish sufficient statistical power to correctly predict outcome. Novel modeling approaches can augment these efforts.Entities:
Keywords: Cox regression models; activated B cells; diffuse large B-cell lymphoma; gene-expression profiling; logistic regression; molecular subtyping; risk prediction models
Mesh:
Year: 2015 PMID: 26289217 PMCID: PMC4644669 DOI: 10.2217/fon.15.144
Source DB: PubMed Journal: Future Oncol ISSN: 1479-6694 Impact factor: 3.404