P1152: DEPTH OF METABOLIC RESPONSE AT INTERIM PET AND SURVIVAL OUTCOMES AMONG PATIENTS WITH PRIMARY REFRACTORY OR EARLY RELAPSING DIFFUSE LARGE B-CELL LYMPHOMA (DLBCL)
Multicohort Study of Conditional Survival and Cause of Death After Achieving Event‐Free Survival at 24 Months (EFS24) in Patients With Mantle Cell Lymphoma (MCL)
Depth of metabolic response at interim PET and survival outcomes among patients with primary refractory or early relapsing diffuse large B‐cell lymphoma (DLBCL)
MARGINAL ZONE LYMPHOMA INTERNATIONAL PROGNOSTIC INDEX (MZL‐IPI): A PROGNOSTIC SCORE FOR THE ENTIRE SPECTRUM OF MARGINAL ZONE LYMPHOMAS. A FIL AND SPORE‐MER STUDY
Abstract Lymphoma is the sixth most commonly diagnosed cancer in the US. Genome-wide association studies have identified common variants associated with risk of specific lymphoma subtypes, but less is known about the contribution of rare inherited variants in the genetic architecture of lymphoma risk. CHEK2 is important to DNA repair and 2 small studies have found evidence of an association between CHEK2 variants and risk of lymphoma. Here, we investigated loss of function (LoF) variants in CHEK2 with risk of lymphoma (overall and subtypes). The study population included newly diagnosed lymphoma cases from Mayo who were enrolled in the Lymphoma SPORE Molecular Epidemiology Resource (MER). Controls were from the Mayo Clinic Biobank, from which we excluded a prior hematologic malignancy. Whole exome sequencing was performed by Regeneron on an Illumina NovaSeq panel (mean coverage of 48X). Variants were called using GATK v4 and variant annotation was performed using BioR. All LoF variants (nonsense, frameshift and consensus splice sites) in CHEK2 with a minor allele frequency < 0.5% were included in the analyses. Logistic regression was used to estimate odds ratio (OR) and 95% confidence intervals (CI) for the association between CHEK2mutation status and risk of lymphoma overall, and by lymphoma subtypes that had more than 5 mutation carriers, which included diffuse large B-cell (DLBCL), follicular (FL), and T-cell lymphoma (TCL). All analyses were adjusted for age (at diagnosis for cases and at enrollment for controls) and sex. A total of 4,852 lymphoma cases and 49,724 controls were included in this analysis. Median age for both cases and controls was 62 years (range 18-99 years). Males accounted for 57.5% (n=2,789) of the cases and 40.6% (n=20,186) of the controls. The DLBCL (23.6% of cases) and FL (23.3% of cases) subtypes were the most common; 7.6% of cases had TCL. A total of 407 (0.7%) individuals had a LoF variant. The frequency of LoF variants was 1.2% in lymphoma cases and 0.7% in controls. LoF variants were associated with increased risk of lymphoma overall (OR=1.77; 95%CI: 1.32-2.33), DLBCL (OR=2.07; 95%CI: 1.20-3.13), and TCL (OR=2.78; 95%CI: 1.178-5.50), but not FL (OR=1.31; 95%CI: 0.65-2.34). CHEK2 c.1100delC was the most frequently mutated variant in this population, accounting for 76% of all LoF variants. Individuals with a c.1100delC variant had an increased risk of lymphoma overall (OR=1.90; 95%CI: 1.37-2.58), DLBCL (OR=2.06; 95%CI: 1.09-3.54), and TCL (OR=3.17; 95%CI:1.24-6.58), but not FL (OR=1.05; 95%CI: 0.41-2.15). When restricted to cases, there was no significant difference in age at diagnosis (P=0.62) or sex (P=0.53) between LoF variant carriers and non-carriers. In this large lymphoma case-control study, CHEK2 LoF variants were associated with increased risk of lymphoma, demonstrating that rare inherited variants may play an important role in the etiology of lymphoma. Additional work is needed to investigate missense variants in CHEK2 and risk of lymphoma. Citation Format: Nicholas J. Boddicker, Raphael Mwangi, Dennis P. Robinson, Allison C. Rosenthal, Thomas M. Habermann, Andrew L. Feldman, Lisa M. Rimsza, Rebecca L. King, Melissa C. Larson, Brianna J. Gysbers, Stephen M. Ansell, Jithma P. Abeykoon, Grzegorz S. Nowakowski, Thomas E. Witzig, Anne J. Novak, Susan L. Slager, James R. Cerhan. Germline CHEK2 variants and risk of lymphoma. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 5233.
Depth of metabolic response at interim PET and survival outcomes among patients with primary refractory and early relapsing diffuse large B-cell lymphoma (DLBCL).
Journal of Clinical Oncology | June 4, 2023 | Volume: 41 | Issue: 16_suppl | Pages: 7543-7543
7543 Background: Total metabolic tumor volume (TMTV) and maximum standardized uptake value (SUVmax) may improve upon standard 18F-fluorodeoxyglucose positron emission tomography/computed tomography (PET-CT)-based assessment of advanced DLBCL during treatment. We report the association of TMTV and SUVmax changes at interim PET-CT (PET2) on survival outcomes in patients with primary refractory DLBCL (prDLBCL) and early relapsing DLBCL (erDLBCL). Methods: Adult patients with prDLBCL (less than a complete response (CR) or progression by the end of treatment (EOT)) or erDLBCL (CR at EOT with relapse within 12 months) between 2005 and 2019 at Mayo Clinic Rochester were included. The % change (Δ) from baseline to PET2 (after 2 cycles of 1L therapy) of TMTV and SUVmax were measured. A PET segmentation threshold of 1.5 liver mean SUV + two standard deviations with a minimum volume constraint of 0.5 mL was utilized (MIM Software, Inc., Cleveland OH, USA) with manual input as needed. Functional splines analysis determined SUVmax and TMTV threshold for analysis. Results: 131 patients had complete PET-CT data (N=79 prDLBCL, N=52 erDLBCL). Baseline median TMTV and SUVmax were 767.4 cm3 (range 0.9-6840.4) and 20.5 (2.0-52.6), respectively. At a median follow up of 77.6 months, 81 patients had died. 2-year OS rate was 53% (95% CI: 42-67) for patients with a PET2 ΔSUVmax decline ≥65% compared to 15% (95% CI: 7-29) for patients with a PET2 ΔSUVmax decline <65%(p<0.001). PrDLBCL had a 2-year OS rate of 48% (95% CI: 31-74) for a ΔSUVmax ≥65% compared to 7% (95% CI: 2-21) for a ΔSUVmax <65%(p<0.001), which captured 58% of prDLBCL patients (N=46). Two-year OS rate was 43% (95% CI: 34-54) for patients with a ΔTMTV ≥75% compared to 5% (95% CI: 1-35) for patients with ΔTMTV <75% (p<0.001). All patients with a ΔTMTV <75% had prDLBCL. PrDLBCL had a 2-year OS rate of 28% (95% CI: 18-44) for a ΔTMTV ≥75%. The outcomes for ΔSUVmax <65% and ΔTMTV <75% at PET2 remained significant in a cox regression model adjusted for IPI and bulky disease (>10cm)(Table). Conclusions: A ΔTMTV decline <75% or a ΔSUVmax decline <65% at PET2 identified an ultra-high-risk subgroup of DLBCL with particularly poor outcomes, that captured a high percentage of prDLBCL patients, and was significant after adjusting for IPI and bulky baseline disease. These patients may benefit from clinical trials evaluating alternative PET-adapted treatment strategies, but further evaluation among all patients with DLBCL is needed. [Table: see text]
Molecular classification and identification of an aggressive signature in low‐grade B‐cell lymphomas
Abstract Non‐follicular low‐grade B‐cell lymphomas (LGBCL) are biologically diverse entities that share clinical and histologic features that make definitive pathologic categorization challenging. While most patients with LGBCL have an indolent course, some experience aggressive disease, highlighting additional heterogeneity across these subtypes. To investigate the potential for shared biology across subtypes, we performed RNA sequencing and applied machine learning approaches that identified five clusters of patients that grouped independently of subtype. One cluster was characterized by inferior outcome, upregulation of cell cycle genes, and increased tumor immune cell content. Integration of whole exome sequencing identified novel LGBCL mutations and enrichment of TNFAIP3 and BCL2 alterations in the poor survival cluster. Building on this, we further refined a transcriptomic signature associated with early clinical failure in two independent cohorts. Taken together, this study identifies unique clusters of LGBCL defined by novel gene expression signatures and immune profiles associated with outcome across diagnostic subtypes.