Survival after treatment of diffuse large-B-cell lymphoma is influenced by differences in immune cells, fibrosis, and angiogenesis in the tumor microenvironment.
Follicular lymphoma (FL) is an incurable malignancy1, with transformation to an aggressive subtype being a critical event during disease progression. Here we performed whole genome or exome sequencing on 10 FL-transformed FL pairs, followed by deep sequencing of 28 genes in an extension cohort and report the key events and evolutionary processes governing initiation and transformation. Tumor evolution occurred through either a ‘rich’ or ‘sparse’ ancestral common progenitor clone (CPC). We identified recurrent mutations in linker histones, JAK-STAT signaling, NF-κB signaling and B-cell development genes. Longitudinal analyses revealed chromatin regulators (CREBBP, EZH2 and MLL2) as early driver genes, whilst mutations in EBF1 and regulators of NF-κB signaling (MYD88 and TNFAIP3) were gained at transformation. Collectively, this study provides novel insights into the genetic basis of follicular lymphoma, the clonal dynamics of transformation and suggests that personalizing therapies to target key genetic alterations within the CPC represents an attractive therapeutic strategy.
BackgroundThe study objectives were to assess the prognostic value of quantitative PET and to test whether combining baseline metabolic tumour burden with early PET response could improve predictive power in DLBCL.MethodsA total of 147 patients with DLBCL underwent FDG-PET/CT scans before and after two cycles of RCHOP. Quantitative parameters including metabolic tumour volume (MTV) and total lesion glycolysis (TLG) were measured, as well as the percentage change in these parameters. Cox regression analysis was used to test the relationship between progression-free survival (PFS) and the study variables. Receiver operator characteristics (ROC) analysis determined the optimal cut-off for quantitative variables, and Kaplan–Meier survival analysis was performed.ResultsThe median follow-up was 3.8 years. As MTV and TLG measures correlated strongly, only MTV measures were used for multivariate analysis (MVA). Baseline MTV (MTV-0) was the only statistically significant predictor of PFS on MVA. The optimal cut-off for MTV-0 was 396 cm3. A model combing MTV-0 and Deauville score (DS) separated the population into three distinct prognostic groups: good (MTV-0 < 400; 5-year PFS > 90 %), intermediate (MTV-0 ≥ 400+ DS1-3; 5-year PFS 58.5 %) and poor (MTV-0 ≥ 400+ DS4-5; 5-year PFS 29.7 %)ConclusionsMTV-0 is an important prognostic factor in DLBCL. Combining MTV-0 and early PET/CT response improves the predictive power of interim PET and defines a poor-prognosis group in whom most of the events occur.
To investigate the cell of origin linking follicular (FL) and transformed (t-FL) lymphomas, we analyzed the somatic hypermutation (SHM) pattern of the variable region of the immunoglobulin heavy gene (IgH-VH) in 18 sequential FL/t-FL samples and a father (donor) and son (recipient), who developed FL and t-FL, after transplantation. Genealogic trees showed a pattern compatible with a common progenitor cell (CPC) origin in 13 cases. The identification of the t-FL clonotype in the previous FL sample and of the putative CPC sequence in both the FL/t-FL biopsies showed that the intraclonal diversity of FL and t-FL germinal centers (GCs) is more intricate than previously described, and all 3 clonotypes (CPC, FL, t-FL) may occur simultaneously within the same lymph node. On the basis of the father/son model, this CPC must be long-lived, providing a possible explanation for the incurable nature of this disease.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.