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Purpose The predominant pattern of relapse for patients with B-cell non-Hodgkin lymphoma (NHL) who undergo anti-CD19 Chimeric Antigen Receptor T-cell Therapy (CART) involves sites previously involved by NHL. Bridging radiotherapy (BRT) has shown to be an effective bridging treatment with excellent local control rates. Our previous work defined limited/oligometastatic lymphoma as disease involving <5 sites. This study is the first to report on the role of BRT for patients with limited (<5 involved sites) disease prior to CART. Methods Following Institutional Review Board approval, a retrospective review from 2018 to 2023 across 3 Mayo Clinic sites (Arizona, Florida, and Minnesota) was performed and identified 139 patients with relapsed/refractory (r/r) B-cell NHL without bone marrow involvement who received CART and had <5 disease sites prior to leukapheresis. Ann Arbor staging was used to define the number of involved disease sites. An involved disease site included the Ann Arbor anatomical lymph node region(s) harboring the pathological lymph node(s) or any extranodal lesion. Bridging treatment (radiation and/or systemic therapy) was defined as treatment administered between leukapheresis and CART infusion. The primary endpoint was event-free survival (EFS),defined from CART infusion to any disease progression or initiation of post-CART consolidative/salvage therapy. Secondary endpoints included progression -free survival (PFS),defined from CART infusion to any disease progression, and overall survival (OS), defined from CART infusion to death. Results Prior to CART infusion, 44 (32%) patients received BRT and 95 (68%) did not. Bridging systemic therapy was given to 5 (11%) and 34 (36%) patients in the BRT and no BRT groups, respectively (p=0.003). The median number of involved disease sites prior to leukapheresis was 2 (range: 1-4). There was no significant difference in the baseline characteristics prior to CART infusion between the BRT and no BRT groups, except for extranodal involvement that was more common in the BRT group (Table 1). The median equivalent 2 Gy dose was 27 Gy (Interquartile range 23-34), and the most common BRT regimen was 20 Gy in 5 fractions. Among the 44 BRT patients, 34 received radiation to all visible PET-avid disease sites, and 10 received radiation to some but not all disease sites. The median follow-up was 20 months. The rate of grade ≥2 cytokine release syndrome was 41% in both groups (p=0.99). The rate of grade ≥2 immune effector cell-associated neurotoxicity syndrome was 21% and 37% in the BRT and no BRT groups, respectively (p=0.059). There were no observed grade ≥3 BRT-related toxicities. Objective response rate by PET 5 point scale was higher in the BRT group (93% versus 79%; p=0.036). Crude rates of progression were 30% in BRT and 55% in no BRT patients, with 9/13 (69%) and 43/52 (83%) patients relapsing in pre-existing sites of disease present prior to CART infusion in the BRT and no BRT group, respectively. Seven (16%) BRT patients relapsed in the radiation field. The 2-year EFS was 50% in the BRT group and 39% in the no BRT group (p=0.01). The 2-year PFS was 55% in the BRT group and 45% in the no BRT group (p=0.017). The 2-year OS was 55% in the BRT group and 62% in the no BRT group (p=0.7). Intriguingly, patients who received BRT to all visible PET-avid disease sites (n=34) had further improvement in 2-year EFS (67% vs 39%, p=0.003) and 2-year PFS (71% vs 46%, p=0.008) compared to no BRT or patients who received BRT to some but not all visible disease sites (n=105). Nine patients (2 in BRT and 7 in no BRT groups) received consolidative radiotherapy for day 30 residual disease with only one patient subsequently experiencing progression. Twenty-five patients (6 in BRT and 19 in no BRT groups) received salvage/palliative RT for post-CART relapsed disease. Thirty-seven (39%) patients in the no BRT group remained without disease progression and did not receive radiation in the bridging, consolidative or salvage/palliative setting. Conclusion Bridging radiotherapy prior to CART infusion for patients with limited (<5 involved disease sites) r/r NHL appears to improve response rate, EFS, and PFS without causing significant toxicities. Approximately one third of patients who do not receive BRT will require subsequent post-CART radiation, and another third will remain free of radiation and disease progression.

Background: Relapsed/refractory (R/R) Classic Hodgkin lymphoma (cHL) remains a significant clinical challenge. We hypothesized that using immune checkpoint blockade to activate the immune cells in the tumor microenvironment, and concurrently targeting tumor cells with the CD30 targeting antibody-drug conjugate brentuximab vedotin (BV) could overcome tumor resistance. E4412 is an intergroup Phase 1/2 ECOG-ACRIN sponsored study of the combinations of BV, nivolumab (N), and ipilimumab (I) in patients with R/R cHL. Here we present the efficacy and safety data on the full adult cohort of patients treated in Phase 2 randomized between BV/N and BV/N/I. Methods: Patients with confirmed R/R cHL were randomized between the doublet of BV/N with BV 1.8mg/kg and N 3mg/kg and BV/N/I with I 1mg/kg. BV and N were administered every 3 weeks, and I every 12 weeks for up to 1 year for BV and up to 2 years for N and I. Results: One hundred twenty-six patients were enrolled and treated; 8 patients (4 from each arm) were excluded from efficacy analysis based on ineligibility. Patients were not heavily pretreated, 65% had one prior line of therapy and an additional 27% had two prior lines, and 8% had more than 2 prior lines. The median age was 34; 51% of patients were male. Sixteen patients had prior BV: 10 (BV/N arm) and 6 (BV/N/I). Response: One hundred eighteen patients are evaluable for response: 61 treated with BV/N and 57 with BV/N/I. With BV/N 37 of 61 (60.7%) of patients had a complete response (CR) compared to 38 of 57 (66.7%) with BV/N/I for a difference of 6.7% (p-value 0.31). Additionally, 17 (28%) with BV/N and 12 (21%) of patients treated with BN/N/I had a partial response (PR) for an overall response rate (ORR) of 88% in both arms. In a planned analysis of patients with prior treatment with BV the CR rate was 25% in BV/N arm (2 of 8) and 60% in BV/N/I arm (3 of 5). The median follow-up for progression free survival (PFS), duration of response (DOR), and overall survival (OS) is 24.8 months and 33.7 months. The median PFS, duration of response and OS have not been reached for either arm with 24 months of follow-up ( Figure 1). In B/N 30 of 61 patients came off study to receive alternative treatments (primarily autologous stem cell transplant (SCT)) and in BV/N/I 23 of 57 patients did. Safety: Table 1 shows treatment-related Grade 3+ toxicity occurring in > 1 patient and adverse events (AE) of special interest. All 126 patients (118 eligible and 8 ineligible) are evaluable for safety. The rate of Grade 3+ treatment related toxicity is 43% (28/65) and 52% (32/61) for BV/N and BV/N/I, respectively. However, when rash is excluded the rate of treatment related toxicities is similar between the two arms 38.5% vs 39.3%. There was no grade 4 rash, and the rash was treatable in all cases with topical or oral steroids. There were no Grade 5 toxicities in either arm. Conclusion: In this randomized Phase 2 study comparing BV/N vs. BV/ N/I the difference in CR rate of 6.7% between the doublet and the triplet was not statistically significant. Additionally, the triplet had more grade 3 rash than the doublet, there was otherwise no significant difference in grade 3 or greater toxicity between the two arms. With a median follow-up of 24 months the PFS and DOR have not been reached for either arm, suggesting excellent disease control from both regimens. Differences in response for BV pre-treated patients between the two arms is intriguing especially as more patients are treated with BV in the frontline, but the sample size is too small to draw firm conclusions. Correlative studies are underway to elucidate a response vs. resistance signature, and biological understanding of differential benefit.

Introduction Lymphoid malignancy (LM) is a heterogenous neoplasm with respect to biology, aggressiveness, and treatment with over 100 subtypes, including Hodgkin lymphoma (HL), non-Hodgkin lymphoma (NHL), and multiple myeloma (MM). Genome-wide association studies have identified common variants associated with risk of specific LM subtypes, but less is known about the contribution of rare inherited pathogenic variants (PV) in the genetic architecture of LM risk. Rare PV have been shown to contribute to the genetic architecture of solid tumor cancer risk, many of which have been found in genes that are important to the DNA-damage repair (DDR) pathway (e.g., BRCA1, BRCA1, ATM). Here, we investigated the prevalence of PV in cancer predisposition genes regularly included on multi-gene panel testing based on NCCN guidelines and correlated with risk of LM overall and by common subtypes. Methods In this association study, cases were newly diagnosed lymphomas (excluding chronic lymphocytic leukemia) from Mayo Clinic who were enrolled between 2002 and 2015 in the Lymphoma SPORE Molecular Epidemiology Resource (MER) and MM from Mayo Clinic enrolled primarily between 1998 and 2022 in a clinical registry. Controls were from the Mayo Clinic Biobank who were enrolled between 2009 and 2016, from which we excluded individuals with a history of hematologic malignancy. All participants provided a blood sample for whole exome sequencing, 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 loss-of-function variants (i.e., nonsense, frameshift, and consensus splice sites) and pathogenic missense in 19 cancer predisposition genes 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 mutation status by gene (burden test) and risk of LM overall, and by subtype that had more than 5 mutation carriers. All analyses were adjusted for age (at diagnosis for cases and at enrollment for controls) and sex. Results A total of 6990 cases and 42432 controls were included. Median age was 63 years for both cases and controls (case range 18-94 years, control range 18-99 years). Males accounted for 58.5% (n=4090) of the cases and 41.7% (n=17762) of the controls. MM accounted for 31% (n=2138) of the cases, followed by diffuse large B-cell lymphoma (DLBCL, n=1146) and follicular lymphoma (FL, n=1132) each accounting for 16% of cases. CHEK2 (1.0%), ATM (0.4%), BRCA2 (0.4%), and BRCA1 (0.3%) had the most PV carriers in controls; these frequencies are in the range of published control populations. A total of 1816 (3.7%) individuals had a PV across the 19 genes, with 4.7% of cases and 3.5% of controls carrying any PV (OR=1.34, 95% CI: 1.18-1.51). ATM (OR=1.86, 95% CI: 1.36-2.49), CHEK2 (OR=1.74, 95% CI: 1.42-2.13) and TP53 (OR=9.07, 95% CI: 4.51-18.87) were all significantly associated with increased risk of LM overall (Figure 1). When investigating subtypes (Table 1), CHEK2 (OR=1.93, 95% CI: 1.23-2.89) and TP53(OR=10.97, 95% CI: 3.06-31.43) were significantly associated with DLBCL. ATM (OR=2.22, 95% CI: 1.13-3.90) was significantly associated with FL. ATM (OR=1.97, 95% CI: 1.16-3.12), CHEK2 (OR=1.75, 95% CI: 1.24-2.41) and TP53 (OR=7.67, 95% CI: 2.43-20.72) were significantly associated with MM and ATM (OR=8.62, 95% CI: 4.47-15.12), NBN (OR=6.94, 95% CI: 2.41-15.76) and TP53 (OR=38.30, 95% CI: 10.27-116.69) were significantly associated with mantle cell lymphoma (MCL). When subset to LM cases overall, there was no evidence of enrichment for young onset (age <60 years), male sex, or family history of hematologic malignancy between PV carriers and non-PV carriers. However, FL cases with an ATM PV tended to be less than 60 years (OR=3.21, P=0.09) compared to non- ATM PV carriers. Similarly, MM cases with a TP53 PV tended to be less than 60 years of age (OR=7.39, P=0.07) compared non-carriers. Discussion In this large case-control study, PV in established cancer predisposition genes were associated with increased risk of LM overall, demonstrating that rare inherited variants may play an important etiologic role. This study also suggests that PV in cancer predisposition genes may be subtype specific. These results will help inform LM risk for individuals who undergo genetic testing of cancer predisposition genes.

Background: There are a lack of clinical prediction tools in early-stage Hodgkin lymphoma (E-HL). We developed and validated a modern-day model, known as E-HIPI, to predict progression-free survival (PFS) within the first 5 years (y) incorporating detailed individual patient (pt) data from international clinical trials and prospective registry data that were standardized, normalized & harmonized as part of the HoLISTIC Consortium (www.hodgkinconsortium.org). Methods: Model development utilized Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD) guidelines (Moons, Ann Intern Med 2015) on a cohort of 3,080 newly-diagnosed E-HL pts treated on 4 seminal phase 3 clinical trials (NCIC: Meyer, NEJM 2012; RAPID: Radford, NEJM 2015; EORTC-GELA H9U: Ferme, E ur J Cancer 2017; EORTC/LYSA/FIL H10: Andre, JCO 2017). External validation was done in an independent cohort of 462 E-HL pts from a large registry (Princess Margaret, Toronto). Pts with classic HL, stage I or II disease, and ages 18-65 y were included. The primary outcome was PFS. Cox models were utilized with follow-up truncated at 5 years. Baseline predictors were: sex, stage, B symptoms, histology, number & location of nodal sites, and continuous data values of age, maximum tumor diameter (MTD), white blood cell count (WBC), lymphocyte count, hemoglobin, albumin & erythrocyte sedimentation rate (ESR). Multiple imputation was used for missing data. To consider possible non-linear relationships for continuous variables we examined plots & cubic splines. We used backward elimination ( P<0.1) to develop the models & internal validation with 200 bootstrap samples was conducted to estimate optimism & correct for overfitting. The final prediction equations applied optimism corrections to beta coefficients & hazard ratios (HR). Sensitivity analyses included model results stratified by PET staging (vs CT) and each HL trial. The models were evaluated in the external validation cohort & compared using c-statistics. Model scores were also grouped by tertiles for visualization in Kaplan-Meier (KM) curves. Results: Median age in the development cohort was 35y; 51% were female; 81% had nodular sclerosis & 77% stage II disease; 26% had B symptoms; 32% had mediastinal bulk (≥10cm or >1/3 diameter) and the mean MTD was 6.4 cm (interquartile range (IQR), 3.9-8.2). Median follow-up was 60 months (IQR 45-75). KM estimates at 5y was 90.7% (264 events) for PFS, and 97.1% (78 events) for overall survival (OS). After backward elimination, significant variables retained were age, sex, nodal location (cervical region), MTD & albumin. Stage, ESR, or the number of nodal sites were not significant. Age was modeled with piecewise linear splines due to its non-linear relationship. See the Table for the final prediction model and optimism-corrected HRs. Optimism-corrected c-statistics in the development model was 0.63. Sensitivity analyses of stratification by type of imaging at staging or by each clinical trial demonstrated no change in model parameters or c-statistics. Most baseline characteristics and outcomes of the external validation cohort were similar besides median follow-up time (74 months, IQR 37-129). C-statistics for the E-HIPI model in external validation was 0.63. In addition, observed 5y outcomes stratified by tertile of predicted risk in the external cohort separated pts into a low & higher-risk group, which comprised 1/3 & 2/3 of pts, respectively ( Figure). Finally, model diagnostics revealed the potential for time dependency in the retained covariates. Further assessment of differential prediction between early (<2y) vs. later (2-5y) PFS events is ongoing. Conclusion: Following TRIPOD methodology, we rigorously developed and externally validated the E-HIPI among >3,500 E-HL pts.Discrete risk groups were delineated, and we identified several novel factors, including nodal location, sex & key continuous variables that predict 5y PFS. Additional model refinement is underway, including formal calibration & external validation via other HL registries (Stanford, Mayo/Iowa SPORE). A web-based calculator to simplify application of the E-HIPI will also be presented at ASH. Future planned modeling includes integration of differing treatments & response-adapted imaging via multistate modeling to enrich individualized survival estimates and simulation modeling to predict late consequences.

Background: Maintenance therapy with brentuximab vedotin (BV) after autologous stem cell transplantation (ASCT) improved progression-free survival (PFS) among high-risk patients (pts) with relapsed or refractory (R/R) classical Hodgkin lymphoma (cHL) in the phase III AETHERA trial. However, cHL treatment has changed significantly since that trial with frequent incorporation of BV and PD-1 inhibitors into earlier lines of therapy. The efficacy of BV maintenance may be different among pts who receive novel agents before ASCT. Methods: Pts with a diagnosis of R/R cHL who underwent ASCT between 2010 and 2022 were identified at 5 US transplant centers. Pts receiving no systemic post-ASCT maintenance or BV maintenance were included, while pts receiving investigational maintenance treatments were excluded. Medical records were reviewed to identify clinical variables. Results: 921 pts were identified. Median age was 32 yrs (IQR 24-44). 641 pts (70%) had primary refractory disease or relapsed within 12 months of frontline therapy, 326 (35%) had extranodal disease at relapse, and 173 (19%) had B symptoms at relapse. Pts received a median of 2 (1-9) lines of therapy before ASCT, including 295 (32%) who received ≥3 lines. 425 (46%) pts received BV before ASCT (including 24 pts as part of frontline treatment). 70 pts (8%) were BV-refractory (defined as failure to achieve an objective response to any BV-based treatment). 169 (18%) received a PD-1 agent with salvage treatment. 638 pts (69%) had a complete response on pre-ASCT positron emission tomography (PET). BEAM (71%) or CBV (21%) conditioning were used for most pts and 236 pts (26%) received peri-ASCT radiation. 224 pts (24%) received post-ASCT BV maintenance (including 37% of pts undergoing ASCT from 2015-2022). Compared to pts receiving no maintenance, pts receiving BV maintenance were more likely to have primary refractory/early relapsed disease (79% vs 67%, p<0.001), have received only 1 salvage regimen (79% vs 65%, p=0.001), and received BEAM conditioning (83% vs 67%, p<0.001). BV maintenance pts were less likely to receive peri-ASCT radiation (20% vs 28%, p=0.022). The median number of BV maintenance cycles was 10 (1-18) and the most common reason for discontinuation was neuropathy. Median post-ASCT follow-up was 4.9 yrs. 5-yr PFS and OS after ASCT were 70% (95% CI 67-74%) and 85% (83-88%), respectively. Because BV-refractory pts were much less likely to receive BV maintenance (p=0.0044) and had inferior PFS (HR 2.2, p<0.001) (and therefore would serve as a confounder), we excluded BV-refractory pts from additional analyses. Use of BV maintenance was associated with improved PFS (5-yr 81% vs 67%, HR 0.47 [0.33-0.69], p<0.001) and OS (5-yr 92% vs 83%, HR 0.38 [0.20-0.73], p=0.004). The benefit of BV maintenance depended upon pre-ASCT therapy. BV maintenance was associated with a significant improvement in PFS for pts who received no novel agents before ASCT (HR 0.41 [0.25-0.65], p<0.001), but not for BV-treated (HR 0.69 [0.38-1.25], p=0.22) or PD-1-treated pts (HR 0.63 [0.13-3.03], p=0.56) ( Figure). Among pts with 0-1 modified AETHERA risk factors, BV maintenance was not associated with a significant PFS benefit in any treatment subgroup (no novel agents, HR 0.50, p=0.087; BV-treated, HR 1.28, p=0.67; PD-1-treated, HR 2.97, p=0.44). For pts with 2+ modified AETHERA risk factors, BV maintenance significantly improved PFS in the no novel agent group (HR 0.35, p<0.001) but not in the BV-treated (HR 0.55, p=0.099) or PD-1 treated groups (HR 0.24, p=0.19). In multivariable analyses that included key variables (age, year of ASCT, conditioning regimen, peri-ASCT radiation, early relapse/primary refractory disease, B symptoms, extranodal sites, pre-ASCT PET, lines of therapy), BV maintenance was associated with a significant PFS benefit among pts who received no novel agents before ASCT (HR 0.27 [0.12-0.65], p<0.001), but not for pts treated with BV (HR 0.56 [0.28-1.10], p=0.091) or PD-1 blockade (HR 1.10 [0.22-5.56], p=0.91) before ASCT. Conclusions: In this large cohort, BV maintenance was associated with the clearest benefit among pts who received only chemotherapy before ASCT. We were unable to identify a significant improvement in PFS for pts receiving novel agents before ASCT (which could be due to insufficient power to detect a small benefit in this population), suggesting that if these pts benefit from BV maintenance, its impact is likely more limited.

Background: Approximately 2-3% of B-ALL patients have Philadelphia chromosome like (Ph-like) B-ALL with an ABL-class fusion ( ABL1, ABL2, PDGFRB, or CSF1R fusions), but lacking BCR::ABL1. These patients are predicted to be sensitive to ABL-class tyrosine kinase inhibitors, such as imatinib or dasatinib. Ph-like B-ALL is associated with male sex, older age, higher initial white blood cell (WBC) count, elevated end of induction (EOI) minimal residual disease (MRD), and poor outcome. The AALL1131 Dasatinib arm was designed to evaluate response to therapy following induction of patients with ABL-class fusion B-ALL, when given dasatinib continuously on a modified Berlin-Frankfurt-Münster (MBFM) backbone. Methods: Between February 2012 and March 2019, AALL1131 enrolled patients 1-30 years with newly diagnosed high risk (HR) B-ALL. AALL1131 was amended in August 2016, to include the Dasatinib arm for patients with ABL-class fusions involving ABL1, ABL2, PDGFRB, and CSF1R. Patients with Down Syndrome were not eligible for the Dasatinib arm. ABL-class fusion B-ALL patients with a predicted TKI-sensitive mutation were screened by low density array (LDA) PCR and confirmed by additional molecular testing. Following 4-drug induction, patients with HR B-ALL and ABL-class fusions received MBFM with dasatinib (60 mg/m 2, maximum 140 mg) daily from start of consolidation through end of maintenance. Dasatinib was held only for toxicity. Results: Twenty-two evaluable patients with HR B-ALL were non-randomly assigned to the Dasatinib arm. ABL-class 3' partners included ABL1 (n=4), ABL2 (n=4), PDGFRB (n=12), and CSF1R (n=2). Compared to all patients on AALL1131, patients treated on the Dasatinib arm were older (median age at diagnosis 14 versus 10 years, p=0.008), more often male (77% versus 56%, p=0.046), and had a trend towards an increased initial WBC (median WBC at diagnosis 44,000/µL versus 19,000/µL, p=0.086). Patients with ABL-class fusions had EOI MRD > 0.01% in 20 of 22 patients and available end of consolidation MRD >0.01% in 6 of 10 patients. Only 5 of 22 (22.7%) patients completed prescribed protocol therapy. Reasons for therapy discontinuation included induction failure (n=2), relapse (n=1), alternate therapy (n=1), determined to be in the patient's best interest (n=10), death (n=1), unknown (n=2). Compared to all patients on AALL1131, four-year disease-free survival was 52.5+18.1% versus 86.8+0.7% (p<0.0001) and overall survival 79.4+13.6% versus 89.2+0.4% (p<0.0001). Dasatinib was well tolerated with no unexpected treatment related toxicities. Conclusion: Patients with ABL-class fusions were more likely male, EOI MRD+, and had poorer outcomes. Seventy-seven percent of patients enrolled on the Dasatinib arm did not complete prescribed therapy. While dasatinib was well tolerated, treatment failures occurred early, indicating alternate strategies are needed.

Introduction: Single arm studies incorporating PD-1 blockade and/or brentuximab vedotin (BV) to salvage regimen have produced encouraging results in transplant-eligible relapsed/refractory classic Hodgkin lymphoma (R/R cHL) and are increasingly used in practice. As prospective randomized studies comparing PD1 based salvage to other salvage regimens are lacking, we conducted a retrospective study comparing post-transplant outcomes of R/R cHL patients who received PD1-based regimen and other novel and conventional regimen. Methods: Consecutive adult patients with R/R cHL who received salvage therapy and underwent autologous stem cell transplant (ASCT) between 2010 and 2021 at 5 United States academic institutions were included. Demographics and clinical variables were recorded at relapse by electronic health records review. Study Objectives were post-ASCT progression free survival (PFS) and overall survival (OS). Results: 981 pts of R/R cHL were identified. At relapse, median age was 31 (IQR: 21-43) years, 504 (52%) were male, 323 (49%) had advanced stage, 353 (41%) had extranodal disease (END), 185 (22%) had B symptoms, 345 (45%) were refractory to frontline therapy and 317 (32%) relapsed within a year of frontline therapy.308 (31%) received >1 line of salvage before ASCT. Patients were divided into 3 groups based on salvage therapy received: 1) 195 (20%) patients received a PD-1 agent with or without BV at any point before ASCT (PD-1 group), 2) 312 (32%) patients received BV at any point before ASCT without PD-1 (BV group), and 3) 474 (48%) patients received no novel agent before ASCT (chemo group). PFS was significantly higher in PD1 group (2-yr PFS 93.1 (CI 95: 89.4-96.9)%); compared to BV (2 yr PFS 73.9 (CI 95: 69.1-79.1)% , p <0.0001) or chemo groups (2 yr PFS 71.6 (CI 95: 67.6-75.9)% , p<0.0001). PFS was not different between the BV and chemo groups (p=0.88) (Figure 1). OS was not significantly different between PD-1 group (2 yr OS 96.2 % (CI 95: 93.2-99.2), p=0.06), BV group (2 yr OS 94.3% (CI 95: 91.7-97.0), p=0.2) and chemo group (2 yr OS 91.8% (CI 95: 89.3-94.4)). Amongst pts who were transplanted in complete metabolic response (CMR), we assessed post-ASCT PFS and OS based on salvage therapy received immediately before ASCT. Pts who received PD-1 as last salvage therapy had improved PFS compared to chemo (HR: 0.15 (CI 95: 0.07-0.3), p= <0.0001) and BV (HR: 0.2 (CI 95: 0.08-0.5), p= <0.001). Pts receiving PD-1 immediately before ASCT also had higher OS compared to those receiving chemo (HR: 0.2 (CI 95: 0.05-0.8), p= 0.02) but not BV (HR: 0.8 (CI 95: 0.4-1.3), p=0.1). There was no difference between BV and chemo group in regards to PFS and OS. In multivariable analysis that included time to relapse, B symptoms, END, pre-ASCT response, number of salvage therapy lines before ASCT, year of transplant and BV consolidation, PD-1 salvage therapy had significantly higher PFS compared to chemotherapy (HR: 0.3 (CI 95: 0.2-0.5), p= <0.001). BV group had significantly lower PFS (HR: 3.34 (CI 95: 1.8-6.0), group=0.002) compared to PD1 group. PFS was not different between BV and chemo group (p= 0.7). OS was similar between all 3 groups. Similar PFS and OS were seen among patients receiving PD-1 + BV (n=83) and PD-1 with or without chemo (n =112) (p=0.96 for PFS; p= 0.72 for OS); as well as for patients receiving PD-1 as part of their first salvage therapy (n=151) or later salvage treatments (n=44) (p=0.45 for PFS, p= 0.3 for OS). Patients who received PD1 based regimen as last salvage therapy pre-ASCT had significantly better PFS (HR: 6.8 (CI 95: 2.4-19.2), p= <0.0001) and OS (HR: 10.6 (CI 95: 2.5-44.8), p= 0.0001) compared to patients who received PD1 prior to their last line of salvage therapy per-ASCT. Conclusion: Receipt of PD-1 based salvage therapy at any point before ASCT is associated with significantly improved PFS compared to either BV or chemotherapy-based salvage treatments. In the subgroup of patients transplanted in CMR, PD1 based last salvage regimen were associated with higher PFS compared to chemotherapy and BV and higher OS compared to chemotherapy. PD1 based last salvage therapy pre-ASCT was associated with better survival compared to PD1 prior to last salvage therapy. Results of this study strongly support the use of PD-1 based salvage therapy for patients with R/R cHL. S.D., R.M., H.S contributed equally. R.S., M.M. contributed equally.

Introduction: Detection of measurable residual disease (MRD) in AML patients during remission is associated with adverse clinical outcomes after allogeneic hematopoietic cell transplant (alloHCT), including recent strong evidence from our group regarding residual NPM1 and/or FLT3-ITD variants (PMID: 36881031). Large studies examining the significance of other potential MRD targets, including isocitrate dehydrogenase isoform 2 ( IDH2), are needed. IDH2, which is mutated in approximately 12% of AML patients, is of particular interest due to the possibility of targeted clinical intervention. Methods: Patients over the age of 18 in first complete remission (CR1) with IDH2 mutated AML undergoing alloHCT transplant at a CIBMTR site between 2013-2019 with remission blood samples within 100 days of alloHCT and available clinical data were included in this study. Residual variants in IDH2, NPM1, and FLT3genes were detected by ultrasensitive error-corrected next-generation sequencing (NGS-MRD) on genomic DNA from pre-conditioning blood and validated by digital droplet PCR (ddPCR). The primary outcomes were overall survival (OS) and cumulative incidence of relapse with non-relapse mortality as a competing risk. The day of transplant was considered as time 0, and the median follow-up time was calculated for censored patients. Kaplan-Meier estimation (log-rank tests), Cox proportional hazards models, and Fine-Gray regression models were fitted to examine the clinical outcomes. Results: Among the 257 IDH2-mutated AML patients in this study, 57 (23%) experienced relapse, with 41 events occurring within 12 months after alloHCT. The median follow-up time was 25 months. Among 247 patients with pre-transplant remission flow cytometry results reported, 25% were positive, but no difference in rates of relapse or OS was observed between positive and negative patients. NGS MRD analysis detected residual IDH2 variants in remission samples of 130 patients (51%) with variant allele fraction (VAF) ranging from 0.05-56% (median: 3%), and 100% validation by ddPCR. NGS MRD IDH2 positive patients had increased rates of relapse (p = 0.03; 3yr: +11%, 95% CI: 0.2% to 22%) and decreased OS (p < 0.001; 3yr: -25%, 95% CI: -13% to -38%) compared to those who tested negative (Figure 1A). These OS differences were still observed between NGS MRD IDH2 positive and negative patients, regardless of age stratification (under 60yr p < 0.001, 3yr: -28%, 95% CI: -12% to -43%; over 60yr p = 0.04, 3yr: -19%, 95% CI: -1% to -40%); however, only patients over 60yrs had increased rates of relapse (p = 0.007; 3yr: +21, 95% CI: 6% to 36%). The impact of co-mutation status was examined by subdividing the cohort based on the presence of NPM1 or FLT3-ITD mutations at baseline. Residual IDH2 variants in patients without baseline NPM1 or FLT3-ITD co-mutations (n = 151) were associated with decreased OS and increased relapse ( IDH2+ vs IDH2-; OS p = 0.005, 3yr: -23%, 95% CI: -6% to -40%; Relapse p = 0.01, 3yr: +19, 95% CI: 6% to 32%; Figure 1B). In contrast, residual IDH2 variants were not predictive of relapse in co-mutated patients (n=106, p = 0.5). In these patients, the only prognostic marker for relapse was NPM1 and/or FLT3-ITD MRD, with similar relapse risk between IDH2 only positive and MRD negative groups (p < 0.001; 3yr: 83% vs. 11% vs. 15%; Figure 1B). In multivariable analysis, IDH2 MRD positivity was associated with decreased OS (HR 2.5, 95% CI: 1.5-4.2, p < 0.001) and increased rates of relapse (HR 2.1, 95% CI: 1.4-5.7, p = 0.003) after adjusting for other characteristics. Conclusion: In this study, we demonstrate that adult patients with IDH2-mutated AML who have IDH2 variants detected in CR1 prior to first alloHCT experienced increased relapse rates and decreased overall survival. However, this association is significant only in patients without baseline NPM1 and FLT3-ITD mutations. In co-mutated patients, NPM1 and/or FLT3-ITD MRD serve as superior prognostic markers. Subgroup analyses show the potential influence of factors such as conditioning intensity and age on clinical outcomes. Nevertheless, larger studies with balanced subgroups and more comprehensive baseline mutational information, including IDH2 mutation subtype, are needed to better define the clinical relevance of IDH2 MRD in this context.

Background: Primary central nervous system lymphoma (PCNSL) is a rare form of non-Hodgkin lymphoma with historically poor outcomes. Induction therapy with high-dose methotrexate (HD-MTX)-based regimens followed by consolidation with autologous stem cell transplant (auto-SCT) has become the mainstay of treatment with overall response rates (ORR) of 69-87% and two-year overall survival (OS) of 66-70% reported in prospective clinical trials. Limited data are available regarding a maintenance approach with single-agent HD-MTX, particularly in patients who are not auto-SCT candidates. Herein, we describe a comparison of outcomes in patients with PCNSL who underwent HD-MTX-based induction followed by either HD-MTX maintenance or auto-SCT consolidation at Mayo Clinic, Rochester. Methods: Patients with a diagnosis of PCNSL who received HD-MTX as part of induction therapy at Mayo Clinic between October 2010 and June 2022 were identified. Patients with prior or concurrent diagnosis of systemic lymphoma were excluded. Primary endpoints were progression-free survival (PFS) defined as time from post-induction treatment initiation to relapse, progression, or death due to any cause; and OS defined as time from post-induction treatment initiation to death due to any cause. We compared baseline characteristics by post-induction therapy using descriptive statistics. The primary endpoints PFS and OS were evaluated using Kaplan-Meier curves and compared by risk scores using a log-rank test. Results: A total of 148 patients were identified (51% female, 95% white) with median age at diagnosis of 66 years (range 29-85), with 48 patients (32%) age > 70. Most patients had multifocal disease (n=89, 60%) and deep brain involvement (n=100, 70%) at diagnosis. Few had vitreoretinal (n=15, 10%) or CSF involvement (n=9, 6%) at diagnosis. Using the Memorial Sloan Kettering (MSKCC) prognostic score for PCNSL, 35 patients (26%) scored class 3 (poor prognosis), 85 (62%) scored class 2, and 17 (12%) scored class 1. In total, 117 patients (79%) received methotrexate, rituximab, and temozolomide (MRT) induction therapy, and the remaining 31 patients (21%) received methotrexate and rituximab (MR) induction therapy (Table 1). A total of 70 patients (47%) underwent consolidation with auto-SCT and 37 patients (25%) received maintenance methotrexate. The patients who received maintenance methotrexate had higher median age of 72 versus 62 years, higher proportion of patients older than 70 (54% versus 16%, p<0.001), higher proportion of MSKCC prognostic score class 3 patients (33% versus 17%, p=0.026), and trend towards higher proportion of patients ECOG 2 or higher (41% versus 29%, p=0.109). A higher proportion of patients who underwent auto-SCT received MRT (vs MR) induction (n=64, 91%) compared to those who received maintenance methotrexate (n=24, 65%, p=0.004) (Table 1). The median follow-up for all patients was 4.5 years. At 1-, 3-, and 5-years post-induction treatment initiation, the PFS in the auto-SCT cohort was 85.8% (95% CI 77.7-94.9), 81.0% (95% CI 72.0-91.0), and 74.6% (95% CI 63.3-87.9), respectively; and the PFS in the HD-MTX maintenance cohort was 88.6% (95% CI 78.7-99.8), 72.6% (95% CI 58.8-89.8), and 72.6% (95% CI 58.8-89.8), respectively. At the same time points, the OS in the auto-SCT cohort was 94.0% (95% CI 88.4-99.9), 81.3% (95% CI 71.8-92.0), and 76.0% (95% CI 65.0-89.0), respectively; and the OS in the HD-MTX maintenance cohort was 94.3% (95% CI 86.9-100.0), 87.5% (76.8-99.8%), and 82.4% (69.0-98.4), respectively. Overall, there was no significant difference in PFS (p=0.64) or OS (p=0.95) based on post-induction treatment (Figure 1). Conclusions: Our study demonstrates comparable outcomes in PCNSL between a post-induction treatment approach with maintenance HD-MTX and consolidation auto-SCT, even though baseline characteristics indicate that patients who went on to receive auto-SCT were younger and had overall better performance status. This suggests that maintenance HD-MTX is a reasonable, time-limited strategy for patients with PCNSL responding to initial induction therapy, particularly in patients who are not candidates for auto-SCT.

Background. The inclusion of gene mutations and chromosomal abnormalities in the 2022 WHO and ICC Classifications of MDS has enhanced diagnostic precision and is expected to improve clinical decision-making process. Although these two systems share similarities, clinically relevant discrepancies still exist and potentially cause inconsistency in their adoption in a clinical setting. In this study on behalf of the International Consortium for MDS (icMDS), we adopted a data-driven approach to provide a harmonization roadmap between the 2022 WHO and ICC classification for MDS. A modified Delphi Process consensus approach is currently ongoing among icMDS experts to finalize a harmonized MDS classification scheme. Methods. We analyzed retrospective international cohorts of patients with a diagnosis of MDS (n=7017) and AML (n=1002) according to WHO 2016 criteria. Hierarchical Dirichlet Processes were applied to define clusters capturing broad dependencies among all gene mutations and cytogenetic abnormalities. To investigate the features of importance and their impact on the clustering process, we employed the SHapley Additive exPlanations approach (SHAP). This allowed to define harmonized labels for each clinical entity. The clinical relevance of the unsupervised clustering was assessed through the analysis of phenotypic features and outcomes among each group. ( Blood 2022;140: 9828-9830) Results. Patients' characteristics are summarized in Table 1. We identified 9 clusters, defined by specific genomic features. The cluster of highest hierarchical importance was characterized by biallelic inactivation of TP53 (biTP53). According to SHAP analysis, bi TP53 was defined as 2 or more TP53 mutations, or 1 mutation with copy number loss or cnLOH. Most patients assigned to bi TP53 cluster had TP53 VAF>10% (77.9%) and complex karyotype (70.1%). Assignment to bi TP53 cluster was irrespective of blast count. Patients with monoallelic TP53 mutation segregated into other clusters. Hierarchically, the second cluster included patients with del(5q). SHAP analysis highlighted 5q deletion alone, or with one other chromosomal abnormality other than -7, and absence of bi TP53, as the most relevant features. Most of these patients had blast counts <5% (88.1%). The third distinct cluster included patients with SF3B1 mutations (in the absence of concurrent del(7q), abn3q26.2, complex karyotype or RUNX1 mutation). Most patients with MDS and SF3B1 mutation had <5% blasts (94.2%). Common co-mutated variants in the SF3B1 cluster included mutant DNMT3A (25.2%) and TET2 (38.3%). Morphologically defined MDS cases (i.e., not meeting criteria for bi TP53, del(5q) or SF3B1) were preferentially assigned to the following additional clusters: SF3B1 and concurrent higher-risk mutations (e.g., RUNX1 and ASXL1); SRSF2 and concomitant TET2 mutations; U2AF1 mutations with del(20q), del(7q) or -7; SRSF2 with TET2 mutations and co-mutational patterns including RUNX1 and ASXL1; and AML-like genomic signatures. Our analyses suggest that morphologically defined MDS is characterized by a large heterogeneity in terms of mutation profiles, not entirely captured by the presence of unilineage versus multilineage dysplasia, percentage of bone marrow blasts, and presence of hypocellularity and fibrosis. To better investigate the continuum between high risk MDS (i.e., patients with ≥10% blasts) and AML, an exploratory comparison was made using a cohort of AML (defined according to WHO 2016) patients analyzed using the same statistical methods. Only a partial overlap in genetic signatures was observed between MDS with ≥10% blasts and AML. However, similarities were observed between the AML-like MDS clusters (characterized by mutant NPM1, bZIP CEBPA, and Core Binding Factor abnormalities) and AML clusters defined by the same genetic signature, thus supporting the classification of these entities as AML, irrespective of blast count. Conclusion. Our study demonstrated the utility of a data-driven approach based on advanced statistical methods to generate a harmonized classification for MDS. Table 2 shows a provisional, hierarchical classification algorithm. Further refinement of entity labels and classification criteria is the subject of the ongoing modified Delphi Process consensus approach among icMDS experts.