Zeiser, Robert

ABSTRACT Approximately 30% of patients with acute graft-versus-host disease (GVHD) develop steroid-refractory disease and have very poor outcomes. Ruxolitinib has become the standard of care for steroid-refractory acute GVHD, but it is unclear which patients derive benefit. The MAGIC Composite Score (MCS), an algorithm that combines clinical symptoms and biomarkers, has been validated to predict outcomes at the start of primary GVHD treatment. Here, we evaluated its performance at the initiation of second-line treatment in 278 patients. MCS stratified patients into three risk groups (MCS1-3), with the majority (88%) classified as intermediate or high risk. Increasing MCS score was associated with progressively higher 1-year non-relapse mortality (NRM) rates (16%, 41%, and 73%; p<0.001), lower 1-year survival (77%, 56%, and 24%; p<0.001), and lower complete response (CR) rates at day 28 (47%, 38%, and 20%, respectively; p<0.01). The area under the receiver operating characteristic curve (AUROC) for 1-year NRM was significantly higher with MCS compared to clinical symptoms alone (0.70 vs. 0.63; p=0.023). Among patients treated with ruxolitinib, higher MCS similarly predicted higher NRM and lower survival and CR rates. Patients classified as MCS2/3 had poor outcomes despite ruxolitinib, underscoring the need for novel therapies in this patient population. In conclusion the MCS is an accurate predictor of outcomes for patients who require second-line treatment and may be of use as an eligibility criterion for future clinical trials in this high-risk population. Key Points MAGIC Composite Scores that integrate clinical symptoms and biomarker scores predict outcomes of second-line therapy for acute GVHD more accurately than clinical symptoms alone. MCS identifies patients with high NRM despite treatment with ruxolitinib.

Abstract Changes in the clinical symptoms of acute graft-versus-host disease (GVHD) are currently used to assess treatment responses. The Mount Sinai Acute GVHD International Consortium (MAGIC) consortium has recently revealed that the integration of serum biomarkers with clinical symptoms at the onset of treatment in a MAGIC composite score (MCS) more accurately predicts treatment response and 6-month nonrelapse mortality (NRM) than clinical symptoms alone. In this study, we evaluated whether the integration of serum biomarkers and clinical symptoms on day 28 (D28) would also better predict NRM than clinical response only (CRO). We analyzed data from 1135 patients receiving systemic treatment for acute GVHD and created a fourth MCS category for patients with complete resolution of symptoms and low-risk clinical biomarkers on D28. Using a classification and regression tree model with 6-month NRM as the end point, we identified status of MCS 0 or MCS 1 at D28 as responses, which we termed the MAGIC composite response (MCR). In the validation cohort (n = 309), MCR more accurately predicted 6-month NRM than CRO (area under the curve: 0.77 vs 0.69; P = .014) and demonstrated higher negative and positive predictive values. MCR correctly reclassified both clinical nonresponders and responders: 28 of 213 clinical responders (13%) became nonresponders with fivefold higher NRM (34.3% vs 6.8%, P &lt; .001) and a larger group (29/96, 30%) of clinical nonresponders became responders with sixfold lower NRM (7.6% vs 50.7%, P &lt; .001). These findings support the use of MCR as a superior surrogate end point for long-term GVHD control and survival in future clinical trials.

In REACH3 (ClinicalTrials.gov identifier: NCT03112603 ), ruxolitinib was investigated versus best available therapy (BAT) for 3 years in patients with steroid-refractory/dependent chronic graft-versus-host-disease (SR/D-cGVHD). Patients received ruxolitinib (10 mg twice daily) or BAT for 24 weeks; thereafter (weeks 24-156), patients continued randomized treatment, entered long-term survival follow-up, or crossed over from BAT to ruxolitinib. In 329 randomly assigned patients (ruxolitinib: 165; BAT: 164), the median failure-free survival (FFS) was 38.4 months for ruxolitinib versus 5.7 months for BAT (hazard ratio, 0.36 [95% CI, 0.27 to 0.49]). Median duration of response (DOR) was not reached for ruxolitinib versus 6.4 months for BAT. Ruxolitinib-treated patients had a higher probability of FFS (ruxolitinib: 56.5%; BAT: 18.2%) and maintaining a response (ruxolitinib: 59.6%; BAT: 26.7%) at 36 months. Median overall survival was not reached. Nonrelapse mortality and malignancy relapse/recurrence events were low. In 70 patients who crossed over to ruxolitinib, the overall response rate (50.0%) at week 24 and best overall response (81.4%) during the crossover period were consistent with the primary analysis of randomly assigned patients. No new safety signals were observed. Ruxolitinib provided longer FFS and DOR than BAT, demonstrating sustained efficacy and manageable safety over 3 years of follow-up in patients with SR/D-cGVHD.

Abstract Acute graft-versus-host disease (GVHD) grading systems that use only clinical symptoms at treatment initiation such as the Minnesota risk identify standard and high-risk categories but lack a low-risk category suitable to minimize immunosuppressive strategies. We developed a new grading system that includes a low-risk stratum based on clinical symptoms alone and determined whether the incorporation of biomarkers would improve the model’s prognostic accuracy. We randomly divided 1863 patients in the Mount Sinai Acute GVHD International Consortium (MAGIC) who were treated for GVHD into training and validation cohorts. Patients in the training cohort were divided into 14 groups based on similarity of clinical symptoms and similar nonrelapse mortality (NRM); we used a classification and regression tree (CART) algorithm to create three Manhattan risk groups that produced a significantly higher area under the receiver operating characteristic curve (AUC) for 6-month NRM than the Minnesota risk classification (0.69 vs 0.64, P = .009) in the validation cohort. We integrated serum GVHD biomarker scores with Manhattan risk using patients with available serum samples and again used a CART algorithm to establish 3 MAGIC composite scores that significantly improved prediction of NRM compared to Manhattan risk (AUC, 0.76 vs 0.70, P = .010). Each increase in MAGIC composite score also corresponded to a significant decrease in day 28 treatment response (80% vs 63% vs 30%, P &lt; .001). We conclude that the MAGIC composite score more accurately predicts response to therapy and long-term outcomes than systems based on clinical symptoms alone and may help guide clinical decisions and trial design.

Abstract The significance of biomarkers in second-line treatment for acute graft-versus-host disease (GVHD) has not been well characterized. We analyzed clinical data and serum samples at the initiation of second-line systemic treatment of acute GVHD from 167 patients from 17 centers of the Mount Sinai Acute GVHD International Consortium (MAGIC) between 2016 and 2021. Sixty-two patients received ruxolitinib-based therapy, whereas 102 received other systemic agents. In agreement with prospective trials, ruxolitinib resulted in a higher day 28 (D28) overall response Frate than nonruxolitinib therapies (55% vs 31%, P = .003) and patients who received ruxolitinib had significantly lower nonrelapse mortality (NRM) than those who received nonruxolitinib therapies (point estimates at 2-year: 35% vs 61%, P = .002). Biomarker analyses demonstrated that the benefit from ruxolitinib was observed only in patients with low MAGIC algorithm probabilities (MAPs) at the start of second-line treatment. Among patients with a low MAP, those who received ruxolitinib experienced significantly lower NRM than those who received nonruxolitinib therapies (point estimates at 2-year: 12% vs 41%, P = .016). However, patients with high MAP experienced high NRM regardless of treatment with ruxolitinib or nonruxolitinib therapies (point estimates at 2-year: 67% vs 80%, P = .65). A landmark analysis demonstrated that the relationship between the D28 response and NRM largely depends on the MAP level at the initiation of second-line therapy. In conclusion, MAP measured at second-line systemic treatment for acute GVHD predicts treatment response and NRM. The outcomes of patients with high MAP are poor regardless of treatment choice, and ruxolitinib appears to primarily benefit patients with low MAP.

Abstract The absence of a standardized definition for graft-versus-host disease (GVHD) flares and data on its clinical course are significant concerns. We retrospectively evaluated 968 patients across 23 Mount Sinai Acute GVHD International Consortium (MAGIC) transplant centers who achieved complete response (CR) or very good partial response (VGPR) within 4 weeks of treatment. The cumulative incidence of flares within 6 months was 22%, and flares were associated with a higher risk of nonrelapse mortality (NRM; adjusted hazard ratio [aHR], 4.84; 95% confidence interval [CI], 3.19-7.36; P &lt; .001). Flares were more severe (grades 3/4, 41% vs 16%; P &lt; .001) and had more frequent lower gastrointestinal (LGI) involvement (55% vs 32%; P &lt; .001) than the initial GVHD. At CR/VGPR, elevated MAGIC biomarkers predicted the future occurrence of a flare, along with its severity and LGI involvement. In multivariate analyses, higher Ann Arbor (AA) biomarker scores at CR/VGPR were significant risk factors for flares (AA2 vs AA1: aHR, 1.81 [95% CI, 1.32-2.48; P = .001]; AA3 vs AA1: aHR, 3.14 [95% CI, 1.98-4.98; P &lt; .001]), as were early response to initial treatment (aHR, 1.84; 95% CI, 1.21-2.80; P = .004) and HLA-mismatched unrelated donor (aHR, 1.74; 95% CI, 1.00-3.02; P = .049). MAGIC biomarkers also stratified the risk of NRM both at CR/VGPR and at the time of flare. We conclude that GVHD flares are common and carry a significant mortality risk. The occurrence of future flares can be predicted by serum biomarkers that may serve to guide adjustment and discontinuation of immunosuppression.

Introduction: Risk stratification approaches using clinical criteria or biomarkers in acute graft-versus-host disease (GVHD) have traditionally been implemented at diagnosis or initiation systemic treatment with corticosteroids. For patients who require second-line treatment, the significance of biomarkers at salvage therapy and the relationship between biomarker risk and choice of therapy are unknown. Methods: We studied adult patients who received second-line treatment for acute GVHD between January 2016 and December 2021 in the Mount Sinai Acute GVHD Consortium (MAGIC) database, which collects clinical data and longitudinal serum samples from allogeneic HCT recipients using a rigorous PRoBE study design. Exclusion criteria included relapse of underlying malignant disease prior to second-line therapy, missing response data, or missing serum sample. Serum samples collected from 7 days prior to 3 days after initiation of second-line therapy met criteria for biomarker analysis. The MAGIC algorithm probability (MAP) was calculated as a single value based on concentrations of ST2 and REG3α and was stratified at a threshold of 0.290 to define high MAP and low MAP groups. The primary objective evaluated the association between MAP and survival for patients receiving second-line therapy for acute GVHD. The key secondary objective was to investigate the MAP and choice of second-line systemic agent on Day 28 overall response rate (ORR) and survival. Results: In total, 316 adult patients received second-line treatment for acute GVHD; 149 patients (47%) were excluded for disease relapse (n=27), missing response data (n=48), or missing sample (n=74).Of the 167 evaluable patients, most had steroid-refractory acute GVHD (n=146, 87%), rather than steroid-dependent (n=8, 5%) or steroid-sensitive (n=14, 8%) disease. 62 patients received ruxolitinib while 102 received other systemic agents (best available therapy: BAT). Baseline clinical characteristics of the study population according to treatment choice were similar, except for donor type (Rux: MRD 15%, MUD 74%, haplo 11%; BAT: MRD 30%, MUD 67%, haplo 3%; P=0.014) and median days from corticosteroids to second-line treatment (Rux: 18, BAT: 12; P=0.02).In total, 81 patients had high MAPs and 86 patients had low MAPs, with similar distribution in each treatment cohort (P=0.53). For the entire cohort, the median follow-up for survivors was 22 months (range, 1.5-27).The MAP separated patients into 2 groups (high vs low) with significantly different mortality (NRM at 2 years, 76% vs 29%, P&lt;.0001) and survival (OS at 2 years, 12% vs 63%, P&lt;.0001). Patients who received ruxolitinib as second-line therapy had lower mortality (NRM at 2 years, 35% vs 60%, P&lt;.002) and improved survival (OS at 2 years, 51% vs 32%, P&lt;.008), compared to those who received other systemic agents. However, the outcomes of patients with high MAP were poor, regardless of second-line treatment choice ( Figure 1A). The MAP (low vs high), time from corticosteroids to second-line treatment (≥14 days vs &lt; 14 days), GVHD grade at second-line (0-2 vs 3-4), and choice of second-line therapy (Rux vs BAT) were all significant (P&lt;0.05) predictors of lower NRM and higher OS in multivariate analysis. The MAP also separated patients into 2 groups with significantly different D28 ORR (low: 49%, high: 30%, P&lt;.0001). In agreement with prospective trials, ruxolitinib resulted in higher D28 response rates compared to other systemic therapies (ORR 54.9% vs 30.5%, P=0.005), which was observed in both low MAP (ORR, 64.5% vs 38.5%, P=0.017) and high MAP cohorts (ORR, 42.9% vs 22.6%, P=0.06) ( Figure 1B). The MAP (low vs high), GVHD grade at second line (0-2 vs 3-4), and choice of second-line therapy (Rux vs BAT) were significant predictors (P&lt;0.05) of higher D28 ORR in multivariate analysis. Conclusion: The MAP measured at the initiation of second-line systemic treatment for acute GVHD predicts NRM and OS, as well as treatment response. The outcomes of patients with high MAP are poor, regardless of second-line treatment choice, and the higher CR rate in low MAP patients may drive higher survival rates. Incorporation of MAP into clinical trials in this setting warrants investigation. The results also support the current use of ruxolitinib as second-line treatment for acute GVHD, particularly in patients with low MAP.

Introduction: Corticosteroids (CS) are the standard first-line treatment for patients (pts) with chronic graft-versus-host disease (cGvHD), but pts can be unresponsive or become refractory to or dependent on CS (SR/D).Ruxolitinib (RUX), a JAK1/2 inhibitor, is approved for the treatment of pts ≥12 years of age with SR/D-cGVHD, based on the primary outcomes from the randomized, phase III REACH3 (NCT03112603) study, which demonstrated the superior efficacy of RUX vs best available treatment (BAT) in pts with SR/D-cGVHD. Here, we present the final, long-term efficacy and safety outcomes from REACH3. Methods: Pts ≥12 years of age with moderate or severe SR/D-cGVHD were randomized 1:1 to receive either RUX 10 mg twice daily (BID) or investigator-selected BAT and followed for 3 years, till discontinuation or death. The primary analysis was conducted at week 24 (Cycle 7 Day 1 [C7D1]) in randomized pts, then pts entered the extension period (C7-39) in which they continued treatment, switched from BAT to RUX (crossover cohort), or discontinued treatment and entered long-term survival follow-up (FU). Failure-free survival (FFS; key secondary endpoint), duration of response (DOR), overall survival (OS), non-relapse mortality (NRM), malignancy relapse (MR), and safety were analyzed at 3 years (week 156; final data cut off 15 Dec 2022). Overall response rate (ORR) and best overall response (BOR) during the crossover treatment period were analyzed for pts who switched from BAT to RUX on or after C7D1. Results: Of 329 pts randomized, 53 completed the treatment period and 276 discontinued, 115 entered survival FU (RUX: 73/165; BAT:42/164); 70 pts crossed over from BAT to RUX of which 16 completed the crossover treatment period and 24 entered survival FU. Median FFS was longer in the RUX vs BAT arms (38.4 vs 5.7 months; hazard ratio [HR]=0.361, 95% confidence interval [CI]: 0.268, 0.485) with 12-month FFS probabilities of 64.0% (95% CI: 56.1, 70.8) and 28.8% (95% CI: 21.8, 36.1), respectively. Median OS was not reached and there was no difference in risk of death between the arms (HR=0.851, 95% CI: 0.544, 1.331) [Table 1]. Median DOR was 6.4 months (95% CI: 4.9, 11.4) in the BAT arm but was not reached for the RUX arm; notably, the probability of maintaining DOR at 3 years was higher in RUX (59.6%; 95% CI: 50.4, 67.6) vs BAT (26.7%; 95% CI: 18.5, 35.5). NRM event rates were similar between the arms (RUX: 29/165; BAT 34/164), and MR events were similar and low in both arms (13/156 and 11/160, RUX and BAT respectively) up to 3 years. The ORR at week 24 after crossover from BAT to RUX was 50.0% (95% CI: 37.8, 62.2), including complete response (CR) in 4 (5.7%) pts and partial response (PR) in 31 (44.3%) pts. The BOR during crossover was 81.4% (95% CI: 70.3, 89.7), including CR of 7.1% and PR of 74.3%; disease progression only occurred in 1 pt. Almost all pts treated during the main treatment period (RUX: 100%; BAT: 93.7%) experienced ≥1 adverse event (AE) and, in general, AE rates were higher in the RUX vs BAT arms [Table 2], likely due to prolonged FU and exposure to RUX (median exposure to treatment of 52.9 weeks vs. 24.1 weeks for RUX and BAT, respectively).Anemia was the most common AE (RUX: 33.9%; BAT: 15.8%) and grade ≥3 AE for RUX (17.6% vs BAT 9.5%, respectively); grade ≥3 neutropenia, thrombocytopenia, alanine aminotransferase increase, and gamma-glutamyltransferase increase were also ≥5% higher for RUX than BAT. Anemia (24.2%; grade ≥3, 10.3%) and thrombocytopenia (3.8%) were the most common RUX and BAT treatment-related AEs, respectively. Infections, excluding tuberculosis, were the most common AE of special interest (77.6% vs. 68.4%; grade ≥3, 31.5% and 26.6%, for RUX and BAT, respectively). On-treatment deaths were mainly due to cGvHD (n/N, RUX: 10/18; BAT 6/12). Conclusions: After 3 years of treatment in REACH3, the longer FFS and higher DOR with RUX vs BAT indicated that cGVHD was more in control with RUX treatment. Notably, efficacy was demonstrated in pts who switched from BAT to RUX with an ORR similar to that in pts randomized to RUX. RUX was well tolerated with no unexpected toxicities and safety that was consistent with earlier studies. Overall, the long-term control of cGVHD and tolerability of RUX was demonstrated for pts ≥12 years of age with SR/D-cGvHD.

[Background] The current standard first-line treatment for acute graft-versus-host disease (GVHD), systemic high-dose steroids, induces clinical responses in a majority of patients. Flares of GVHD after initial improvement often occur during tapering or discontinuation of immunosuppression. There is no consensus regarding the definition of GVHD flare and little has been published regarding its natural history. [Methods] We retrospectively evaluated clinical data and blood samples from 968 allogeneic hematopoietic cell transplantation (HCT) recipients from 23 Mount Sinai Acute GVHD International Consortium (MAGIC) transplant centers who achieved complete response (CR) or very good partial response (VGPR) within 4 weeks of acute GVHD treatment between 2014 and 2021. VGPR was defined as the complete resolution of acute GVHD manifestations except residual stage 1 skin disease. Flares were defined as a recurrence of acute GVHD after achievement of CR/VGPR if (1) patients had an increased symptom severity of at least 1 organ stage; (2) received intensified treatment (increase in steroid dose ≥ 0.25 mg/kg or initiation of additional systemic immunosuppression); and (3) had no prior history of primary disease relapse or donor lymphocyte infusion preceding the flare. Serum samples obtained at the time of CR/VGPR and at the time of flares were analyzed for ST2 and REG3α concentrations that generated MAGIC algorithm probabilities (MAPs) resulting in previously validated Ann Arbor (AA) scores (1, 2, and 3). [Results] The median recipient age at HCT was 55 years (range: 0 to 79); 18.6% of patients had grades III-IV acute GVHD before CR/VGPR. The median maximum daily dose of corticosteroids before CR/VGPR was 1 mg/kg methylprednisolone equivalent (range, 0.1 to 3.2 mg/kg). Flares developed within 6 months following CR/VGPR in 210/968 (21.7%) patients with a median onset of 28 days (range: 2 to 448). Symptom severity at the onset of flare symptoms varied widely (grade I: 22%; grade II: 38%; grade III-IV: 41%) and the development of a flare was associated with a five-fold increase in NRM (hazard ratio [HR], 4.84 [95% CI, 3.19-7.36], P &lt; 0.001) when considered as a time-dependent covariate in a multivariate regression model. The large majority of non-relapse deaths after flares (54/71, 76%) were due to acute GVHD or complications from its treatment. The AA scores at the time of first CR/VGPR successfully stratified patients for risk of six-month NRM (AA1: 5%, AA2: 11%, AA3: 34%, P &lt; 0.001) (Figure A). Increasing AA score at CR/VGPR was also associated with significantly increased risk of GVHD flares (Figure B). Not only did the risk of flare increase with each rising AA score, but the number of patients with severe (grade III/IV) symptoms at flare onset also increased (AA1: 34%, AA2: 43%, AA3: 54%). We next generated a multivariate regression model of risk factors for the development of flares. High AA scores at the time of CR/VGPR (AA2: HR, 1.81 [95% CI, 1.32-2.48], P = 0.001; AA3: HR, 3.14 [95% CI, 1.98-4.98], P &lt; 0.001), HCT from HLA mismatched unrelated donor (HR, 1.74 [95% CI, 1.00-3.02], P = 0.049), and interestingly, rapid achievement of CR/VGPR from the time of initial treatment (≤14 days) (HR, 1.84 [95% CI, 1.21-2.80], P = 0.004) were all identified as significant risk factors. Meanwhile, no other transplant, GVHD, or treatment characteristics associated with the development of flares including maximum GVHD severity, maximum steroid dose, and use of additional immunosuppressive agents other than steroids before CR/VGPR. AA scores measured at the onset of flare symptoms in 98 patients also predicted six-month NRM (AA1, 6%; AA2, 19%; AA3 42%, P = 0.01). [Conclusion] Despite advances in treatment, flares of GVHD symptoms following excellent (CR/VGPR) responses still occur in over one fifth of patients in current practice and are associated with a five-fold increase in six-month NRM. AA scores from serum biomarkers predict outcomes despite the absence of symptoms, suggesting that MAGIC biomarkers detect subclinical damage to GI crypts that can drive later recrudescence of clinical GVHD. Measurement of the MAP at the time of response to GVHD treatment may thus help to risk-stratify tapering strategies of immunosuppressive therapy.