Kröger, Nicolaus

Abstract Background: The myeloproliferative neoplasms (MPNs), including essential thrombocythemia (ET), polycythemia vera (PV) and myelofibrosis (MF) can be characterized by heterogeneous symptoms, disease features, and prognosis. Timely monitoring of blood counts and if needed, referral for discussion of stem cell transplant (SCT), are critical to optimizing survival and quality of life. In connection with the MPN SCT Transplantation Timing Taskforce's (MS3T's) work in developing the DIPPS-based Stem Cell Spectrum Timing Tool, the survey was deployed to explore factors contributing to delayed entry to SCT. National Comprehensive Cancer Network (NCCN) guidelines for MPNs strongly recommend referral to specialized centers with expertise in the management of MPNs (Mesa et. al. 2017). To date, efforts to assess the timing and quality of MPN patient care from the patient's perspective have been minimal. Methods: Patients were recruited from MPN-related Facebook pages, subscribers of MPNforum Magazine and E-mail support groups including the MPN-NET, MPDchat, and the MPN Research Foundation. Hematologists, MPN patients, and advocates constructed the 11-item survey questions and content. The survey was available for patient response between July 4-11th2018. Patients were queried on MPN type, time of diagnosis, and details regarding knowledge of their MPN disease features and care. Data: Demographics.Overall 2382 MPN patients responded to the online survey. Of these, 901 (38%) patients had ET, 865 (36%) had PV, 561 (24%) had MF, 41 (2%) had MPN-unclassifiable or MPN/MDS overlap and 15 (1%) did not respond. Among MF patients, 56% reported having primary MF, 42% secondary MF, 1% prefibrotic MF, and 1% reported having already undergone SCT (1% did not specify type of MF or transplant). The majority of patients were diagnosed with their MPN by a hematology/oncology (77.8%) or family practice (15 %) physician. MPN Care provider and monitoring: Out of all respondents, 35% reported being cared for by an MPN specialist, 36% were not cared for by an MPN specialist and 27% were unsure if their provider was an MPN specialist. Overall less than half (42%) of patients reported having sought a second opinion from an MPN specialist. The majority (87%) of participants knew their mutational status relating to the highly publicized and widely tested JAK2 V617F mutation (73.8%) and CALR (10.2%). However, a statistically insignificant number of patients had any idea of other driving and secondary mutations including MPL, EZH2, SRSF2, IDH1/2 or ASLX-1. Blood counts were reviewed by a hematologist for the majority of patients (93% responded "yes", 4% responded "sometimes", 3% responded "no"). SCT Referral: Among ET and PV, <1% of patients reported being referred to SCT. For MF, 34% of participants reported having been referred for SCT discussion (30% for primary MF and 28% for secondary MF). Conclusions: MPN patients often report receiving care outside of the care of an MPN specialist. Additionally, despite the poor outcomes and higher likelihood of progression to AML, less than a third of patients with secondary MF report being referred for SCT discussion. Independent validation of patient responses, particularly in regards to MPN specialized care and timing of transplant discussion should be investigated further. However, these patient responses suggest many patients may be receiving less than optimal MPN care. These results demonstrate the importance of community hematology/oncology physician and patient education regarding optimal MPN care. Disclosures Mesa: UT Health San Antonio - Mays Cancer Center: Employment; Celgene: Research Funding; Novartis: Consultancy; Incyte Corporation: Research Funding; Pfizer: Research Funding; CTI Biopharma: Research Funding; Genentech: Research Funding; Promedior: Research Funding; NS Pharma: Research Funding; Gilead: Research Funding. Palmer:Novartis: Research Funding. Harrison:Novartis: Consultancy, Honoraria, Research Funding, Speakers Bureau; Gilead: Honoraria, Speakers Bureau; CTI BioPharma: Consultancy, Honoraria; Roche: Consultancy, Honoraria; Celgene: Consultancy, Honoraria, Speakers Bureau. Verstovsek:Italfarmaco: Membership on an entity's Board of Directors or advisory committees; Incyte: Consultancy; Celgene: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau. Scherber:Gilead: Honoraria.

Abstract Relapse of malignancy and lethal graft versus host disease (GVHD) are the principal causes of failure of allogeneic hematopoietic cell transplant (HCT). Recently we have shown that at seven days after HCT an algorithm using two serum biomarkers (ST2 and REG3α) can predict severe GVHD (Hartwell et al. JCI Insight 2017). We determined whether serial testing (in the first month following HCT) of patients with low probability biomarkers would improve the predictive accuracy of the algorithm and identify patients with different risks of relapse and lethal GVHD. Patients who received an HCT at 18 centers in the Mount Sinai Acute GVHD International Consortium (MAGIC) for hematologic malignancy and who supplied three blood samples were divided into a training set and validation set with equal numbers of lethal GVHD events, which was defined as death from GVHD or infection during treatment for GVHD. Patients in the training set (n=702) underwent HCT from January 1, 2006 until June 30, 2015, whereas patients in the validation set (n=906) underwent HCT from July 1, 2015 to May 1, 2017. Serum samples were analyzed using the previously published algorithm of two biomarkers up to three times (day 7, day 14, day 28 or GVHD onset, if onset occurred within the first 28 days). The algorithm generates a predicted probability of lethal GVHD between 0 and 1 for each patient. Patients were categorized as either low probability (LP) or high probability (HP) for lethal GVHD. HP thresholds of 0.20 and 0.16 were used to classify patients with and without GVHD symptoms, respectively (once categorized as HP, patients remained in that category and were not retested). All results were similar between training and validation sets, and we present here the validation set results. Serial testing identified 28% of patients as HP with a three-fold greater cumulative incidence of lethal GVHD at one year (13% vs 4%, p<0.001, Figure 1). Relapse rates were the same in both probability groups, and thus LP patients experienced significantly better relapse free survival (RFS) (69% vs 53%, p<0.001). As expected, significantly fewer LP patients experienced severe GVHD at onset (as measured by Minnesota risk), maximum grade III/IV GVHD, or steroid resistant GVHD by day 180 after HCT (Figure 2, p<0.001 for all three parameters). To measure the accuracy of prediction, at each timepoint we calculated the area under the curve (AUC) of receiver operating characteristic curves; the AUC increased significantly with each subsequent evaluation, from 0.59 at one timepoint (dotted line) to 0.74 at the third timepoint (solid line) (p<0.001), with a final sensitivity of 65% and specificity of 74% (Figure 3A). Early development of GVHD (by day 28) is a risk factor for lethal GVHD. Therefore, we next plotted RFS (dashed line), relapse (solid line), and lethal GVHD (dotted line) rates in patients who developed GVHD by day 28. 25% of patients with GVHD were categorized as HP and had a cumulative incidence of lethal GVHD more than four times higher (28%) than that of relapse (6%); however the risks were reversed for the 75% of patients who were LP, where relapse (15%) occurred twice as often as lethal GVHD (7%) (Figure 3B). In patients who did not develop GVHD in the first month, this reversal of risks was even more dramatic. Approximately half (53%) of the entire validation cohort did not develop GVHD by day 28 and was LP at all three evaluations. These patients had an exceptionally low risk of lethal GVHD and thus they relapsed (25%) much more often than they died from GVHD (3%). When malignancies were classified according to risk for relapse by the disease risk index (DRI) (Figure 3C), the probability of relapse was three fold higher than lethal GVHD in malignancies with a low DRI (12%), six fold higher for intermediate DRI (20%), and eleven fold higher for high/very high DRI (33%). We conclude that a serial monitoring strategy using GVHD biomarkers for one month after HCT is able to identify two groups of patients with very different risks of lethal GVHD and relapse. For these patients, the intensity of immunosuppression after day 28 could be tailored according to the probabilities of developing lethal GVHD and relapse in the context of clinical trials. Disclosures Aziz: Doris Duke Charitable Foundation: Research Funding. Ayuk:Therakos (Mallinckrodt): Honoraria; Novartis: Honoraria; Celgene: Consultancy; Gilead: Consultancy. Chen:REGiMMUNE: Consultancy; Incyte: Consultancy, Membership on an entity's Board of Directors or advisory committees; Magenta Therapeutics: Consultancy; Takeda Pharmaceuticals: Consultancy. Merli:Neovii Biotech: Honoraria; AMGEN: Honoraria. Roesler:Sanofi: Other: Travel, Accommodations, Expenses; Amgen: Equity Ownership; Jazz Pharmaceuticals: Other: Travel, Accommodations, Expenses; Immunomedics: Equity Ownership; Biogen: Equity Ownership; Merck: Consultancy; Pfizer: Consultancy. Kitko:Novartis: Consultancy, Honoraria; Mallinckrodt: Honoraria, Other: Travel, Accommodations, Expenses. Qayed:Novartis: Consultancy. Wölfl:Bristol-myers Squibb: Equity Ownership; Novartis: Equity Ownership; Taheda: Equity Ownership; Juno: Equity Ownership; Neovii: Other: Travel, Accommodations, Expenses. Mielke:Celgene: Speakers Bureau; DGHO: Speakers Bureau; EHA: Speakers Bureau; Kiadis Pharma: Speakers Bureau; Miltenyi: Speakers Bureau. Wudhikarn:Takeda Oncology: Other: Travel, Accommodations, Expenses. Nakamura:Celgene: Honoraria; Molmed: Honoraria; Merck: Consultancy; Pharmacyclics: Consultancy; Atara: Consultancy; Jazz Pharmaceuticals: Consultancy. Pulsipher:CSL Behring: Consultancy; Novartis: Consultancy, Honoraria, Speakers Bureau; Adaptive Biotech: Consultancy, Research Funding; Amgen: Honoraria. Reshef:Pfizer: Consultancy; Atara Biotherapeutics: Consultancy; Kite Pharma: Consultancy; Takeda Pharmaceuticals: Consultancy; Bristol-Myers Squibb: Consultancy; Incyte: Consultancy. Levine:Therakos: Consultancy; Novartis: Consultancy; Bluebird: Consultancy; Incyte: Consultancy; Kamada: Research Funding; Viracor: Patents & Royalties. Ferrara:Incyte: Consultancy, Honoraria, Other: Travel, Accommodations, Expenses; Xenikos: Consultancy, Other: Travel, Accommodations, Expenses; Kamada: Consultancy, Research Funding; Viracor: Consultancy, Patents & Royalties.

Abstract Background: Myelofibrosis (MF) is a bone marrow disorder characterized by anemia, splenomegaly and constitutional symptoms. There has been substantial work documenting quality of life (QoL) in patients with MF, however, very little data about patients following allogeneic stem cell transplant (alloSCT) for MF. Many patients decline alloSCT due to concerns secondary to QoL. Methods: Medical facts and patient reported outcomes (PRO) measures were collected within a month prior to transplant, at day 30, 100 and 1 year post alloSCT. PRO measures include Brief Fatigue Inventory, Functional Assessment of Cancer Therapy-Bone Marrow Transplant (FACT-BMT), global assessment of change and the Myeloproliferative Neoplasms Symptom Assessment Form (MPN-SAF). The group was measured as a whole, and the patients in the upper quartile of MPN-TSS (the aggregate score of the 10 core items of the MPN-SAF) were also considered. Results: Fifty patients were enrolled on this study, 47 who proceeded with transplant. The median age of the patients was 63, ranging from 35-74. The majority of the patients were male (29, 66%), and Caucasian (43 (96%)). Most patients had primary MF (26, 59%), 9 patients had post-PV MF, and 9 patients had post-ET MF. Twenty patients had DIPSS Intermediate 2 risk disease, and 16 had DIPSS high risk disease. Twenty-six (51%) had a matched unrelated donor, 12 (30%) had a matched related donor and 5 (12%) had a mismatched unrelated donor. The majority of the patients had RIC regimens (35, 88%). At baseline the mean MPN-TSS was 27.7 (out of possible 100), and at day 30, day 100 and 1 year it was 24.6, 32.0, and 25.0, which reflected no significant change between the time points. Interestingly, all the MPN specific symptoms (including fevers, night sweats, pruritis, abdominal pain) had a significant improvement at least one time point following alloSCT. Patients in the highest quartile based on baseline TSS score (12 patients with scores at baseline greater than or equal to 37), had significant improvement in TSS score at day 100, headache at day 30, insomnia at day 100, night sweats at day 100, itching at day 100 and overall QOL at day 100. With regards to the FACT BMT, as would be expected, there was a significant decline in the FACT BMT total score, as well as trial outcome index (TOI) at day 30, but a return to close to baseline by one year. In the global assessment of change, on day 30, 11 (27.5%) of patients reported feeling a little/moderately/very much better overall quality of life since their transplant and 27 (67.5%) felt a little/moderately/very much worse quality of life. At day 100, 11 (31.4%) reported better quality of life and 20 (57%) reported worsening since transplant. By one year, 17 (60.7%) reported feeling better and 7 (25%) reported worsening. These findings did not appear to have a correlation with presence or absence of graft versus host disease. We were unable to assess the impact of conditioning as the majority of the patients had RIC conditioning. Discussion/ Conclusions: Our study evaluated the quality of life in patients with myelofibrosis who have undergone bone marrow transplantation. We have shown that there is very little change in symptom burden over the first year following transplant in general; however, significant improvement was observed in MF specific symptoms, and in patients who had a high symptom burden at baseline. By one year 61% felt that their QoL was better than it was prior to transplant. Our findings suggest that many of the patients do not experience a significant decline in QoL at 1 year after alloSCT, and actually report that their QoL improves. Further investigation is required to validate these findings. Figure. Figure. Disclosures Palmer: Novartis: Research Funding. Dueck:Phytogine: Employment; Pfizer: Honoraria; Bayer: Employment. Mesa:Novartis: Consultancy; NS Pharma: Research Funding; Incyte Corporation: Research Funding; UT Health San Antonio - Mays Cancer Center: Employment; Pfizer: Research Funding; CTI Biopharma: Research Funding; Celgene: Research Funding; Promedior: Research Funding; Gilead: Research Funding; Genentech: Research Funding.

Abstract Graft-versus-host disease (GVHD), the primary cause of non-relapse mortality (NRM) following allogeneic hematopoietic stem cell transplantation, does not always respond to treatment with high dose systemic corticosteroids. We have recently shown that a combination of three biomarkers (TNFR1, ST2, and REG3α) measured at onset of GVHD can predict day 28 response to treatment and 6-month NRM (Levine, Lancet Haem, 2015). Our goal in the current study was to determine if the same biomarker-based Ann Arbor GVHD algorithm can alsopredict treatment response andmortality whenapplied after one week of systemic corticosteroid treatment. The study population consisted of 378 patients (pts) with acute GVHD from 11 centers in the Mount Sinai Acute GVHD International Consortium. All pts were treated with systemic steroids and provided a plasma or serum sample obtained after one week of treatment (±3 days). The median starting dose of systemic steroids for Grade II-IV GVHD was 2.0 mg/kg/day and for Grade I was 1.0 mg/kg/day, after which treatment varied. Patients were divided into test (n=236) and validation (n=142) cohorts. We applied the Ann Arbor GVHD algorithm to concentrations of TNFR1, ST2, and REG3α measured after one week of treatment to generate a predicted probability of 6-month NRM, which we term the treatment score (TS). We employed unsupervised k-medoidclustering to partition TS values from the test cohort into two groups (high and low). This unbiased approach identified a high score group made up of 25% of pts (n=58) in the test cohort. We observed that the day 28 response rate (complete, CR + partial, PR) was significantly lower in pts with high scores compared to low scores in the test cohort (24% vs 65%, p<0.0001) (Fig 1A). Analysis of the validation cohort using the same TS definitions showed similar differences in response rates (22% vs 61%, p<0.0001) (Fig 1B). Further, nearly four times as many pts with high scores in both cohorts died within 6 months from non-relapse causes compared to pts with low scores (test: 57% vs 17%, p<0.0001; validation: 57% vs 14%, p<0.0001) (Fig 1C/D). As expected, the majority of non-relapse deaths in pts treated for GVHD were directly attributable to GVHD (test: 95%; validation: 89%). Relapse rates for high and low score pts were similar (data not shown), and thus pts with a high TS experienced significantly worse overall survival in both cohorts (test: 37% vs 72%, p<0.0001; validation: 38% vs 79%, p<0.0001) (Fig 1E/F). Approximately half of the pts in each cohort (test: 48%; validation: 44%) responded (CR+PR) to the first week of steroids and these ptshad significantly lower 6-month NRM than non-responders (NR) (test: 17% vs 36%, p=0.0002; validation: 13% vs 36%, p=0.0014). Yet the TS continued to stratify mortality risk independently of clinical response. In the test cohort, pts with a high score comprised 16% of all early responders and experienced more than twice the NRM of early responders with a low score (33% vs 13%, p=0.022) (Fig 2A). Conversely, test cohort pts who did not respond by day 7, but had a low score, fared much better than non-responders with a high score (NRM 21% vs 68%, p<0.0001) (Fig 2B). Two thirds of early non-responders comprised this more favorable group. These highly significant results reproduced in the independent validation cohort in similar proportions (CR+PR: 45% vs 6%, p=0.0003; NR: 61% vs 22%, p=0.0001) (Fig 2C/D). Finally, a subset analysis revealed that pts classified as NR after one week of steroids due to isolated, yet persistent, grade I skin GVHD (24/378, 6%) overwhelmingly had low treatment scores (22/24, 92%) and experienced rates of NRM (9%) comparable to responders with low scores, thus forming a distinct, albeit small, subset of pts with non-responsive GVHD that fares particularly well (Fig 3). In conclusion, a treatment score based on three GVHD biomarkers measured after one week of steroids stratifies pts into two groups with distinct risks for treatment failure and 6-month NRM. It is particularly noteworthy that the TS identifies two subsets of pts with steroid refractory (SR) GVHD who have highly different outcomes (Fig 2B/D). The much larger group, approximately two thirds of all SR pts, may not need the same degree of treatment escalation as is traditional for clinical non-response, and thus overtreatment might be avoided. Because the TSis measured at a common decision making time point, it may prove useful to guide risk-adapted therapy. Disclosures Mielke: Novartis: Consultancy; MSD: Consultancy, Other: Travel grants; Celgene: Other: Travel grants, Speakers Bureau; Gilead: Other: Travel grants; JAZZ Pharma: Speakers Bureau. Kroeger:Novartis: Honoraria, Research Funding. Chen:Incyte Corporation: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Research Funding. Jagasia:Therakos: Consultancy. Kitko:Therakos: Honoraria, Speakers Bureau. Ferrara:Viracor: Patents & Royalties: GVHD biomarker patent. Levine:Viracor: Patents & Royalties: GVHD biomarker patent.

Abstract Introduction Myelofibrosis (MF) and Post PV/ET MF represents a group of debilitating hematological disorders in which quality of life (QOL) is severely compromised in most patients as a result of persistent constitutional symptoms, progressive cytopenias, and splenomegaly. Conventional therapeutic modalities have largely focused on symptoms palliation rather than cure. Allogeneic stem cell transplantion (ASCT) remains the only potential curative option for intermediate and high risk disease. Till now, outcome data for MF have historically focused on survival benefit. Until now, few studies have evaluated the QOL, financial burden, and symptom response in MF patients undergoing treatment including ASCT. The development of the Myeloproliferative Symptom Assessment Form Total Symptom (MPN-SAF TSS) score in 2012 allows us to objectively quantify with a standardized tool these crucial aspects of patients care. The Myeloproliferative Neoplasm Quality of Life (MPN-QOL) Study Group aims to objectively quantify symptomatic response to standard available treatments by utilizing the MPN-SAF TSS. We introduce two MPN-QOL prospective trials currently in active enrollment: The MPN Experimental Assessment of Symptoms by Utilizing Repetitive Evaluation (MEASURE) Trial and the Symptoms Yielded in Myelofibrosis Patients after Transplant as Objectified by MPN-SAF TSS (SYMPTOMS) Trial. Our intention with these studies is to quantify the QOL and symptom burden of PMF and post PV/ET MF patients undergoing treatment including ASCT. Methods The MEASURES trial is a prospective questionnaire based study evaluating the responsiveness of the MPN-SAF TSS in detecting symptomatic changes in target symptoms for an anticipated 180 ET, PV and MF (including primary MF, post-ET and post PV MF) patients receiving non-experimental medical therapy (aspirin, hydroxyurea, anagrelide, interferon, busulfan, melphalan, cladribine, thalidomide, lenalidomide, prednisone, danazol, ruxolitinib) and/or phlebotomy. Patients complete the MPN-SAF for seven consecutive days at the time of enrollment and repeat the survey for an additional seven consecutive days between 90 days and six months. Patients also complete the MDASI, EORTC and Global Impression of Change Items on the first day of the second assessment. Physicians acquire demographic, laboratory, physical examination and radiographic data, along with serial response assessments. In parallel, the SYMPTOMS trial is prospective questionnaire based study evaluating the QOL of patients undergoing ASCT utilizing MPN-SAF TSS, the FACT-BMT, Global Impression of Change, and a financial questionnaire. Patients will be evaluated at various time points pre-transplant, day 30, day 100 and 1 year post-transplant. Participants (N=110) will be prospectively enrolled from Mayo Clinic Arizona (MCA) with other centers to soon join. To date we have enrolled 5 patients from MCA on the SYMPTOMS trial and 32 patients on the MEASURES trial. Results Both trials began open enrollment in the summer of 2012 and remain in recruitment phase. Our updated preliminary data will be presented at the ASH 2013 meeting Conclusion Myeloproliferative Neoplasms have been associated with debilitating symptom profile that can significantly impair the QOL. We recognize the burden of this disease and treatment and have therefore initiated two ongoing parallel prospective trials with goals to quantify the QOL and symptom burden of MPN patients. By quantifying degree of burden and impairment in QOL in a standardized format in MPN patients undergoing a range of treatments, we will in the future be better able to inform our patients of the likely benefits and toxicities of the available treatment options. Disclosures: Birgegard: Vifor Pharma: Honoraria.

Abstract No laboratory test can predict non-relapse mortality (NRM) after hematopoietic cellular transplantation (HCT) prior to the onset graft-versus-host disease (GVHD). Recently, we have shown that a signature of three GVHD plasma biomarkers (TNFR1, ST2, and REG3α) can predict response to GVHD therapy and NRM at the onset of clinical GVHD (Levine, Lancet Haem, 2015). Our goal in the current study was to identify a blood biomarker signature that could predict lethal GVHD and six-month NRM well in advance of the onset of GVHD symptoms. Patient samples on day +7 after HCT were obtained from 1,287 patients from 11 HCT centers in the Mount Sinai Acute GVHD International Consortium (MAGIC). Samples from two large centers (n = 929) were combined and randomly assigned to a training set (n = 620) and test set (n = 309). 358 patients from nine others centers constituted an independent validation set. The overall cumulative incidences of 6-month NRM were 11%, 12%, and 13% for the training, test, and validation sets respectively. The incidence of lethal GVHD, defined as death without preceding relapse while under steroid treatment for acute GVHD, were 18%, 24%, and 14% in the same groups, respectively. The median day of GVHD onset was 28 days in the training set and 29 days in the test and validation sets. We measured four GVHD related biomarkers [ST2, REG3α, TNFR1, and IL2Rα] in all samples and used the training set alone to develop competing risks regression models that used all 13 possible combinations of one to four biomarkers to predict 6-month NRM. The best algorithm, which we rigorously confirmed through Monte Carlo cross-validation of 75 different combinations of training sets, included ST2 and REG3α. No combination of one, three, or four biomarkers was superior to the combination of these two biomarkers. The day 7 algorithm identified high risk (HR) and low risk (LR) groups with 6-month NRMs of 28% and 7%, respectively (p<0.001) (Fig 1A). The relapse rates did not differ between risk groups so that overall survival (OS) was 60% for HR and 84% for LR (p<0.001) (Fig 1B). When applied to the test set (Fig 1C/D), the algorithm identified 54/309 (17%) of the patients as HR with an NRM of 33% vs 7% for LR patients (p<0.001) and 6-month OS of 57% and 81% for HR and LR patients, respectively (p<0.001). In the independent validation set (Fig 1 E/F), the algorithm identified 72/358 (20%) of the patients as HR with an NRM of 26% vs 10% for LR patients (p<0.001) and OS of 68% and 85% for HR and LR patients, respectively (p<0.001). High risk patients were three times more likely to die from GVHD than LR patients in each cohort (p<0.001) (Fig 2). The GI tract is the GVHD target organ that is most resistant to treatment and represents a major cause of NRM, and we observed twice as much severe GI GVHD (stage 3 or 4) in HR patients as in LR patients (p<0.001, data not shown). The algorithm successfully separated HR and LR strata for 6 month NRM in several groups with differing risks for GVHD and NRM, including donor type, degree. of HLA-match, age group, and conditioning regimen intensity (Fig 3). In conclusion, we have developed a blood biomarker algorithm that predicts the development of lethal GVHD seven days after HCT, which performed successfully in large multicenter validation sets. The GVH reaction is already in progress by day +7, even though clinical symptoms may not occur until days or weeks later. We speculate that the blood biomarker concentrations at this early time point reflect subclinical GI pathology, a notion that is reinforced by the fact that ST2 and REG3α, the two biomarkers in the algorithm, are closely associated with GI GVHD. The algorithm identified HR and LR strata in several patient groups with different overall risk for lethal GVHD (donor, HLA match, conditioning regimen intensity, age). This day +7 algorithm should prove useful in clinical BMT research by identifying patients at high risk for lethal GVHD who might benefit from aggressive preemptive treatment strategies. Disclosures Chen: Novartis: Research Funding; Incyte Corporation: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding. Jagasia:Therakos: Consultancy. Kitko:Therakos: Honoraria, Speakers Bureau. Kroeger:Novartis: Honoraria, Research Funding. Levine:Viracor: Patents & Royalties: GVHD biomarkers patent. Ferrara:Viracor: Patents & Royalties: GVHD biomarkers patent.

Key Points Biomarker scores generated after 1 week of steroid treatment of GVHD are prognostic. Biomarkers reflect prognosis better than early clinical response to GVHD treatment.

BACKGROUND. No laboratory test can predict the risk of nonrelapse mortality (NRM) or severe graft-versus-host disease (GVHD) after hematopoietic cellular transplantation (HCT) prior to the onset of GVHD symptoms. METHODS. Patient blood samples on day 7 after HCT were obtained from a multicenter set of 1,287 patients, and 620 samples were assigned to a training set. We measured the concentrations of 4 GVHD biomarkers (ST2, REG3α, TNFR1, and IL-2Rα) and used them to model 6-month NRM using rigorous cross-validation strategies to identify the best algorithm that defined 2 distinct risk groups. We then applied the final algorithm in an independent test set ( n = 309) and validation set ( n = 358). RESULTS. A 2-biomarker model using ST2 and REG3α concentrations identified patients with a cumulative incidence of 6-month NRM of 28% in the high-risk group and 7% in the low-risk group ( P < 0.001). The algorithm performed equally well in the test set (33% vs. 7%, P < 0.001) and the multicenter validation set (26% vs. 10%, P < 0.001). Sixteen percent, 17%, and 20% of patients were at high risk in the training, test, and validation sets, respectively. GVHD-related mortality was greater in high-risk patients (18% vs. 4%, P < 0.001), as was severe gastrointestinal GVHD (17% vs. 8%, P < 0.001). The same algorithm can be successfully adapted to define 3 distinct risk groups at GVHD onset. CONCLUSION. A biomarker algorithm based on a blood sample taken 7 days after HCT can consistently identify a group of patients at high risk for lethal GVHD and NRM. FUNDING. The National Cancer Institute, American Cancer Society, and the Doris Duke Charitable Foundation.

Key Points Treatment response criteria for MF must capture drug benefit in terms of symptom burden. The current document includes stricter definitions of red cell transfusion need and independence.

AbstractThe role of high-dose therapy followed by autologous stem cell transplantation (ASCT) in the treatment of multiple myeloma (MM) continues to evolve in the novel agent era. The choice of induction therapy has moved from conventional chemotherapy to newer regimens incorporating the immunomodulatory derivatives thalidomide or lenalidomide and the proteasome inhibitor bortezomib. These drugs combine well with traditional therapies and with one another to form various doublet, triplet, and quadruplet regimens. Up-front use of these induction treatments, in particular 3-drug combinations, has affected unprecedented rates of complete response that rival those previously seen with conventional chemotherapy and subsequent ASCT. Autotransplantation applied after novel-agent-based induction regimens provides further improvement in the depth of response, a gain that translates into extended progression-free survival and, potentially, overall survival. High activity shown by immunomodulatory derivatives and bortezomib before ASCT has recently led to their use as consolidation and maintenance therapies after autotransplantation. Novel agents and ASCT are complementary treatment strategies for MM. This article reviews the current literature and provides important perspectives and guidance on the major issues surrounding the optimal current management of younger, transplantation-eligible MM patients.