The impact of Duffy genotype on progression-free survival (PFS) with lenalidomide, Bortezomib, and dexamethasone (RVd) alone or RVd plus autologous stem cell transplantation (ASCT) and continuous R maintenance in patients (pts) with newly diagnosed multiple myeloma (NDMM): Updated subgroup analysis of the phase 3 DETERMINATION trial
Abstract
Abstract Background: A single nucleotide polymorphism (SNP) in ACKR1/DARC results in erythrocyte Duffy null phenotype in ~66% of African American (AA) and <1% of White pts. This is associated with lower absolute neutrophil count (ANC) and has a key role in cytokine homeostasis, which may influence MM pathobiology, response to inflammatory stressors, and treatment (tx) outcomes. DETERMINATION found a PFS benefit with RVd+ASCT (RVd-alone vs RVd+ASCT: hazard ratio [HR] 1.53; 95% confidence interval (CI) 1.23–1.91), but subgroup analysis showed differential PFS effect by race (AA pts: HR 1.07, 95% CI 0.61–1.89; White pts: HR 1.67, 95% CI 1.29–2.15). As race is a social construct, and with equitable access to care and cost-free therapy provision in DETERMINATION, we sought a pathobiological explanation. Given the prevalence of Duffy null and its known impact on the inflammasome, we hypothesized that Duffy status may affect magnitude of PFS benefit. We report updated PFS analyses in all pts in DETERMINATION with Duffy status available. Methods: Pts received RVd-alone or RVd+ASCT followed by R maintenance until progression in both groups. Peripheral blood samples underwent genomics analysis for the SNP rs2814778 and were classified as C/C (Duffy null) or non-C/C (Duffy non-null). Impact of Duffy status on PFS was evaluated with Cox proportional hazards regression in univariate models. Heterogeneity of tx effect was assessed by a test for interaction. Results: Overall, 592 enrolled pts were evaluable for Duffy status; consistent with US population data, 63.3% (n=62/98) of AA pts and 1.1% (n=5/465) of White/other pts were Duffy null (n=4/29 pts with missing race). 493 randomized pts had Duffy status evaluated (68.3% of intent-to-treat [ITT] population, N=722), with 238 assigned to RVd-alone and 255 to RVd+ASCT. Pts were broadly representative of the ITT population. PFS with RVd-alone vs RVd+ASCT in the analysis cohort, overall and by race, was consistent with the ITT population. Of the 493 pts, 59 (12.0%) pts were Duffy null (53 [89.8%] AA, 5 [8.5%] white/other race, 1 missing), and 434 (88.0%) were Duffy non-null (403 [92.9%] white/other race, 28 [6.5%] AA, 3 missing). Median (interquartile range) baseline ANC was 2.8 (2.1–4.3) x 109/L in Duffy null pts vs 3.4 (2.6–4.6) x 109/L in Duffy non-null pts. In Duffy null vs Duffy non-null pts, median duration of tx from randomization (35.1 vs 33.8 months [mos]) and of R maintenance (42.1 vs 36.4 mos) were similar in the RVd-alone arm but numerically shorter (30.3 vs 40.4 mos; 32.5 vs 42.4 mos) in the RVd+ASCT arm. Rates of grade ≥3 neutropenia in the RVd-alone vs RVd+ASCT arms (for all tx) were 48.3% vs 80.0% in Duffy null pts and 40.7% vs 88.9% in Duffy non-null pts; rates of grade ≥3 febrile neutropenia (FN) were 0% vs 3.3% in Duffy null pts and 7.2% vs 9.3% in Duffy non-null pts. Overall pooled PFS was similar in Duffy null vs Duffy non-null pts (median 62.5 vs 56.7 mos; HR 0.94, 95% CI 0.62–1.42). Duffy non-null pts had PFS findings consistent with the ITT analysis (RVd-alone vs RVd+ASCT: 120/209 vs 85/225 events/pts; median 46.7 vs 67.5 mos; HR 1.76, 95% CI 1.33–2.34). In contrast, Duffy null pts had longer PFS with RVd-alone vs RVd+ASCT (9/29 vs 16/30 events/pts; median NR vs 44.0 mos; HR 0.64, 95% CI 0.27–1.50) (interaction p-value 0.005). When these analyses were restricted to AA pts, the same PFS pattern was seen with RVd-alone vs RVd+ASCT among Duffy null (8/25 vs 15/28 events/pts; median NR vs 45.4 mos; HR 0.66, 95% CI 0.27–1.60) compared to Duffy non-null pts (6/13 vs 3/15 events/pts; median 64.4 mos vs NR; HR 5.29, 95% CI 1.20–23.4). On univariate analysis by Duffy status (null vs non-null), PFS HR was 0.51 (95% CI 0.26–1.00) with RVd-alone and 1.63 (95% CI 0.95–2.78) with RVd+ASCT. Conclusions: These exploratory analyses of DETERMINATION suggest that Duffy status drives a difference in tx effect that is more pronounced than for PFS by race. With RVd-alone vs RVd+ASCT, PFS appeared better in Duffy null pts and poorer in Duffy non-null pts. In Duffy null vs non-null pts, PFS appeared better with RVd-alone and poorer with RVd+ASCT. Similar trends were seen in analyses restricted to AA pts, indicating Duffy status may provide a biological rationale for observed differential tx effects, rather than race. Further studies are warranted to assess impact of Duffy status on clinical outcomes such as treatment response, overall survival, and effects on the inflammasome, as well as ANC and FN.
Article Details
Authors (36)
Lauren Merz
5Dana-Farber Cancer Institute, Medical Oncology, Boston, United States
Rebecca Zon
5Dana-Farber Cancer Institute, Boston, United States
Susanna Jacobus
ECOG-ACRIN Biostatistics Center, Boston
Mehmet Samur
2Department of Data Science, Dana-Farber Cancer Institute, Boston
Jeffrey Zonder
Barbara Ann Karmanos Cancer Institute, Wayne State University, Detroit
Abdullah Khan
Hani Hassoun
1Memorial Sloan Kettering Cancer Center, Myeloma Service, Department of Medicine, New York, United States
Larry Anderson
5UT Southwestern Harold C. Simmons Comprehensive Cancer Center, Dallas, United States
Yvonne Efebera
4OhioHealth, Hematology, columbus, OH, United States
Tondre Buck
5Gibbs Cancer Center & Research Institute, Spartanburg, United States
Racquel Innis-Shelton
11Alabama Oncology, University of Alabama at Birmingham, Birmingham, United States
Monique Hartley-Brown
3Dana-Farber Cancer Institute, Harvard Medical School, Department of Medical Oncology, Boston, United States
Sagar Lonial
Emory University, Atlanta
Erica Campagnaro
1University of Michigan Rogel Cancer Center, Ann Arbor, United States
Peter Voorhees
Department of Materials Science and Engineering
Robert Orlowski
University of Texas M.D. Anderson Cancer Center, Houston
Caitlin Costello
1Division of Blood and Marrow Transplantation, University of California San Diego, Department of Medicine, San Diego, United States
Noopur Raje
1Cellular Immunotherapy Program, Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA
Eva Medvedova
Knight Cancer Institute, Oregon Health and Science University, Portland
Philip McCarthy
8Roswell Park Comprehensive Cancer Center, Buffalo, United States
Carter Milner
19University of Mississippi Medical Center, Division of Hematology and Oncology, Jackson, United States
Cristina Gasparetto
2Duke Cancer Institute, Durham, United States
Mounzer Agha
21University of Pittsburgh Medical Center, Hillman Cancer Center, Pittsburgh, United States
Krisstina Gowin
3City of Hope, Cherng Family Center for Integrative Oncology, Irvine, United States
Rammurti Kamble
1Baylor College of Medicine, Hematology and Oncology, Houston, United States
Sundar Jagannath
Icahn School of Medicine at Mount Sinai, New York
Nitya Nathwani
1City of Hope National Medical Center, Hematology, Duarte, United States
Melissa Alsina
H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, United States
Sergio Giralt
1Adult Bone Marrow Transplantation Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
Jacob Laubach
1Dana-Farber Cancer Institute, Department of Medical Oncology, Boston, United States
Omar Nadeem
Irene Ghobrial
1Dana-Farber Cancer Institute, Department of Medical Oncology, Boston, United States
Clifton Mo
1Dana-Farber Cancer Institute, Boston, United States
Kenneth Anderson
Dana–Farber Cancer Institute, Boston
Nikhil Munshi
3VA Boston Healthcare System, Boston, MA
Paul Richardson
Technology & Therapeutic Platforms