Citations

Abstract Introduction: The revised international prognostic scoring system (IPSS-R) for myelodysplastic syndrome (MDS) is widely accepted and has been validated in multiple studies. Patients with adverse cytogenetics do poorly and that is reflected in this scoring system by having the highest score for cytogenetics; 2 for intermediate, 3 for poor and 4 for very poor. Little is known about the effect of marrow blasts in adverse cytogenetic in the high-grade MDS defined by IPSS-R intermediate (>3), high (>4.5) and very high (>5). The goal is to examine the effect of marrow blast percentage on outcome in patients with adverse cytogenetics that is present in the high-grade MDS. Methods: We performed data collection from the Mayo clinic records for patients with confirmed MDS after obtaining appropriate IRB approval. Patients were divided based on their total IPSS-R score and we extracted high-grade MDS cases with intermediate, high and very-high IPSS-R only. Cytogenetics and baseline CBC were available for analysis. We calculated the survival difference in patients with blasts <5% and patient with blasts of 5% to 19% for every group. Survival estimates were calculated by Kaplan-Meier method and compared by log-rank testing using JMP v.13. Results: Our database had 1300 patients with confirmed MDS, 41% (N=536) are high-grade MDS. From those, the median age was 70 and 70% were males. Median bone marrow blast was 6% (0-19). Baseline hemoglobin is 9.2 g/dL, WBC 2.7, ANC 1.05, and platelets 69. Their cytogenetics were 1% very good, 31% good, 23% intermediate, 16% poor and 29% very poor. The total IPSS-R groups were 39%,31%, and 30% for the intermediate, high, and very-high groups respectively. The overall survival (OS) for the high-grade MDS with marrow blast <5% was 12.3 months and for patients with marrow blasts ≥5% 11.4 months (P=.4). At each high-grade MDS; intermediate, high and very high, there were no statistically significant differences for patients with marrow blasts below or above 5%. In term of risk of progression to AML, patients with blasts ≥5% were at higher risk of progression compared with <5% (25% vs 10% , P<.001), with no statistically significant difference in term of time-to-AML progression. Conclusion: The percentages of bone marrow blasts had no impact on overall survival among patients with high grade MDS. However, patients with ≥5% marrow blasts are at a higher risk for progression to AML. Disclosures Al-Kali: Novartis: Research Funding.

Abstract Background: Trabectedin is an FDA-approved DNA minor groove binder (MGB) that has activity against translocation-associated sarcomas. Lurbinectedin is a next-generation MGB with pre-clinical activity against myeloid leukemia cells. A dose-finding phase 1 clinical trial was performed in patients with acute myeloid leukemia (AML) and myelodysplastic syndrome (MDS) with further assessment of safety and tolerability. Methods: Forty-two patients with relapsed/refractory AML/MDS received lurbinectedin administered as a 1-hour intravenous infusion in a 3+3 study design. Two dosing schedules were used: 3.5 mg, 5 mg, 7 mg, or 6 mg on days 1 and 8 or 2 mg, 3 mg, 1 mg, or 1.5 mg for 3 consecutive days on days 1 to 3. Patients 18 years or older with a diagnosis of advanced, relapsed/refractory AML (non-acute promyelocytic leukemia) and MDS were eligible and treated on study. Eligible patients had adequate hepatic, renal, and cardiac function and an Eastern Cooperative Oncology Group (ECOG) performance status of 0 to 2. Patients with uncontrolled infection, human immunodeficiency virus, cardiac and neurological disorders, or those who were pregnant were ineligible. Clinical trial information: NCT01314599. Results: Three patients experienced dose-limiting toxicities of rhabdomyolysis (grade 4), hyperbilirubinemia (grade 3), and oral herpes (grade 3) with the days 1 and 8 schedule. Otherwise, adverse events mainly consisted of gastrointestinal manifestations (n=11), febrile neutropenia/infections (n=4), pulmonary toxicity (n=2), and renal failure (n=2). The most common laboratory abnormalities observed were an increase in creatinine (93%) and anemia, neutropenia, and thrombocytopenia (100%). Overall, 33 of 42 patients (79%) had reduction in blasts in peripheral blood or bone marrow. One patient achieved a partial response and two patients a morphologic leukemia-free state. Most (n=30, 71%) were discontinued due to progressive disease. Early deaths occurred from disease-related causes that were not attributable to lurbinectedin. Four patients with a chromosome 11q21-23 abnormality had significantly greater bone marrow blast reduction than those without such abnormality, with decrease of 31±14% (n=4) vs. 8±8% (n=16), respectively (P=0.04). Conclusions: Overall, lurbinectedin was safe and tolerated using the schedules and dose levels tested. While no sustained remissions were observed, single-agent lurbinectedin was transiently leukemia suppressive for some patients. Disclosures Rodríguez: PharmaMar: Employment. Ravandi:Bristol-Myers Squibb: Research Funding; Jazz: Honoraria; Abbvie: Research Funding; Seattle Genetics: Research Funding; Abbvie: Research Funding; Amgen: Honoraria, Research Funding, Speakers Bureau; Orsenix: Honoraria; Seattle Genetics: Research Funding; Astellas Pharmaceuticals: Consultancy, Honoraria; Sunesis: Honoraria; Orsenix: Honoraria; Macrogenix: Honoraria, Research Funding; Astellas Pharmaceuticals: Consultancy, Honoraria; Jazz: Honoraria; Xencor: Research Funding; Bristol-Myers Squibb: Research Funding; Amgen: Honoraria, Research Funding, Speakers Bureau; Macrogenix: Honoraria, Research Funding; Xencor: Research Funding; Sunesis: Honoraria. Daver:Sunesis: Consultancy; Alexion: Consultancy; Daiichi-Sankyo: Research Funding; BMS: Research Funding; ImmunoGen: Consultancy; Kiromic: Research Funding; Incyte: Research Funding; Pfizer: Consultancy; Incyte: Consultancy; ARIAD: Research Funding; Karyopharm: Consultancy; Pfizer: Research Funding; Karyopharm: Research Funding; Novartis: Consultancy; Sunesis: Research Funding; Novartis: Research Funding; Otsuka: Consultancy. Jain:Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees; ADC Therapeutics: Research Funding; Infinity: Research Funding; Pfizer: Research Funding; Novimmune: Honoraria, Membership on an entity's Board of Directors or advisory committees; Pfizer: Honoraria, Membership on an entity's Board of Directors or advisory committees; BMS: Research Funding; Servier: Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene: Research Funding; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees; Genentech: Research Funding; ADC Therapeutics: Honoraria, Membership on an entity's Board of Directors or advisory committees; Adaptive Biotechnologioes: Research Funding; Pharmacyclics: Research Funding; Incyte: Research Funding; Verastem: Research Funding; Seattle Genetics: Research Funding; Pharmacyclics: Honoraria, Membership on an entity's Board of Directors or advisory committees; Astra Zeneca: Research Funding; Astra Zeneca: Research Funding; Servier: Research Funding; Celgene: Research Funding; Seattle Genetics: Research Funding; Verastem: Honoraria, Membership on an entity's Board of Directors or advisory committees; Astra Zeneca: Honoraria, Membership on an entity's Board of Directors or advisory committees; Infinity: Research Funding; Adaptive Biotechnologies: Honoraria, Membership on an entity's Board of Directors or advisory committees; Pfizer: Research Funding; Cellectis: Research Funding; ADC Therapeutics: Research Funding; Abbvie: Honoraria, Membership on an entity's Board of Directors or advisory committees; Adaptive Biotechnologioes: Research Funding; Pharmacyclics: Research Funding; Cellectis: Research Funding; Verastem: Research Funding; Servier: Research Funding; Abbvie: Research Funding; Incyte: Research Funding; Genentech: Research Funding; Abbvie: Research Funding; BMS: Research Funding; Astra Zeneca: Honoraria, Membership on an entity's Board of Directors or advisory committees; Verastem: Honoraria, Membership on an entity's Board of Directors or advisory committees; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees; ADC Therapeutics: Honoraria, Membership on an entity's Board of Directors or advisory committees; Pfizer: Honoraria, Membership on an entity's Board of Directors or advisory committees; Servier: Honoraria, Membership on an entity's Board of Directors or advisory committees; Novimmune: Honoraria, Membership on an entity's Board of Directors or advisory committees; Adaptive Biotechnologies: Honoraria, Membership on an entity's Board of Directors or advisory committees; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Pharmacyclics: Honoraria, Membership on an entity's Board of Directors or advisory committees; Abbvie: Honoraria, Membership on an entity's Board of Directors or advisory committees. Maiti:Celgene Corporation: Other: Research funding to the institution. Martinez:PharmaMar: Employment. Siguero:PharmaMar: Employment. Al-Kali:Novartis: Research Funding.

Abstract Background While unfavorable karyotype at referral is associated with significantly inferior overall and leukemia-free survival in myelofibrosis (MF) patients (Blood. 2011 Oct 27;118(17):4595), the incidence of clonal evolution during JAK inhibitor (JAKi) treatment and its clinical significance are not currently known. We conducted a sponsor-independent, single-center retrospective analysis examining the phenotypic correlates and prognostic impact of clonal evolution during JAKi treatment. Methods Clinical, cytogenetic and molecular data were collected on MF patients treated with one or more JAKi on a clinical trial at the Mayo Clinic, Rochester, MN. Baseline data pertained to the onset of treatment with first JAKi. Karyotype risk categories were as previously defined (Blood. 2011 Oct 27;118(17):4595). Serial bone marrow biopsies were obtained at varying frequencies based on individual JAKi protocol requirements. Mutation screening was performed as previously described (Leukemia. 2013 Apr 26. doi: 10.1038/leu.2013.119). Information on survival and leukemic transformation was updated in July 2013. Results A total of 157 MF patients were studied (60% male; median age 65 years, range 34-89 years). The DIPSS-plus distribution was: Low/Int-1 20 (13%), Int-2 66 (42%), and High 71 (45%). The first JAKi was momelotinib (CYT387) in 79 patients (50%), ruxolitinib in 51 (33%) and fedratinib (SAR302503) in 27 (17%). Median follow up from first JAKi treatment was 30 months (range 1-67 months); during this period, 72 deaths (46%) and 14 (9%) leukemic transformations were documented. Eighty nine patients (57%) had a median total 3 (range 2-8) bone marrow biopsies with karyotype analysis during JAKi treatment. Of these, 21 patients (24%) showed clonal evolution (ie, acquisition or loss of one or more chromosome abnormalities when comparing last observed karyotype during JAKi treatment to baseline). Overall, 13 patients (15%) had upstaging of karyotype risk category (eg, normal to unfavorable), 9 (10%) had downstaging (eg, favorable to normal) and 67 (75%) had no change. Acquisition of worse-than-baseline karyotype was significantly higher in DIPSS-plus high-risk patients (26%) versus non-high risk patients (6%) (p=0.03). There was no association between acquisition of a worse karyotype category and baseline karyotype risk category or ASXL1 or SRSF2 mutation status. There was borderline association with RBC transfusion-dependence and constitutional symptoms at baseline (p=0.06). There was no relationship between clonal evolution and achievement of spleen or anemia response during JAKi treatment (p>0.05). The median overall survival of the entire cohort was 41 months. On univariate analysis, overall survival was significantly worse in patients who acquired a worse-than-baseline karyotype risk category during JAKi treatment (n=13, 77% deaths, median survival=31 months) versus those who did not (n=76, 43% deaths, median survival=52 months) (p=0.01) (Figure). On multivariate analysis, the prognostic significance of acquiring a worse karyotype risk category was maintained against all individual DIPSS-plus prognostic variables, including baseline karyotype risk category, except age >65 years. On univariate analysis, leukemia-free survival was significantly worse in patients who acquired a worse-than-baseline karyotype risk category during JAKi treatment (n=13, 31% leukemic transformation, median leukemia-free survival=32 months) versus those who did not (n=76, 8% leukemic transformation, median leukemia-free survival not reached) (p=0.0006) (Figure). On multivariate analysis against known predictors of leukemic risk in PMF patients (ie, baseline unfavorable karyotype, SRSF1 mutated status and platelet count <100 x 109/L), only acquisition of a worse-than-baseline karyotype risk category maintained its prognostic value (HR 5.3, p=0.03) Conclusions This is the first study to examine the incidence of clonal evolution during JAKi treatment in MF patients. Approximately 25% of patients exhibited clonal evolution; acquisition of a worse-than-baseline karyotype risk category had a strong and independent association with inferior leukemia-free survival. A similar association was also observed for inferior overall survival, albeit not independent of older age. In contrast, there was no association with spleen or anemia response during JAKi treatment. Disclosures: Pardanani: Bristol Myers Squibb: Clinical trial support Other; Sanofi: Clinical trial support. Publication support service., Clinical trial support. Publication support service. Other; PharmaMar: Clinical trial support, Clinical trial support Other; JW Pharmaceutical Corp.: Clinical trial support, Clinical trial support Other.

Abstract Abstract 3555 Background: Although treatment-related acute myeloid leukemia (tr-AML) has been identified as an independent marker of poor prognosis, it is important to determine how characteristics of the patient, primary malignancy, or treatment regimen affect the development and outcome of tr-AML. Taxane therapy has become essential in the management of breast cancer in light of its favorable effect on survival in short term studies. However, clinical trials fail to capture acute leukemias related to recently introduced agents since development of tr-AML occurs years after chemotherapy. Aim: To examine the effect of taxane therapy on clinical outcome of patients who were treated for breast cancer and subsequently developed tr-AML. Methods: This retrospective chart review considers patients diagnosed with AML at Mayo Clinic between 1990 and 2011. Patients were included if they had previously received chemotherapy for breast cancer, or if they had never received any chemotherapy. Demographic data, previous diagnosis and treatment regimen, CBC at diagnosis, pathology and cytogenetic information, therapy used, and response were collected for each patient. IRB approval was obtained. Comparison between two groups was done using t-test; survival estimates using Kaplan-Meier curves were constructed with software JMP 9. Results: A total of 88 adult females with AML were identified. Median age at AML diagnosis was 58 years (range 19–86). Median hemoglobin was 8.9 g/dL (4–14.5), white blood cell count (WBC) 9.7 x109/L (0.6–237), platelets 67 x109/L (1–361), peripheral blood (PB) blasts 13%, bone marrow blasts (BM) 44%, and BM cellularity 90%. Of the 88 patients, 23 (26%) had previously received treatment for breast cancer (tr-AML), the remainder had de novo AML. Taxanes were included in the initial treatment for breast cancer in 14 (61%, median age 57, group 1), compared to 9 (39%) patients with no history of taxane exposure (median age 58, group 2). Median hemoglobin was 9.7 g/dL, WBC 4.5×109/L, platelets 72×109/L, PB blasts 2%, BM blasts 40% in group 1, compared to 8.3, 7.1, 50, 28%, 47%, respectively, in group 2. Cytogenetic analysis of group 1 showed diploidy in 8%, complex karyotypes in 8%, and chromosome 11 abnormalities in 38%, compared to 50%, 0%, 33%, respectively, in group 2. In group 1, 14% had good risk cytogenetics, 57% had intermediate risk, and 29% had poor risk, compared to 17%, 83%, and 0%, respectively, in group 2. Cytogenetic analysis of de novo AML showed diploidy in 71%, complex karyotypes in 14%, and chromosome 11 abnormalities in 0%. Complete remission (CR) was achieved in 79% of group 1 and 83% of group 2 (p 0.8). Differences in survival of group 1 (375 days) and group 2 (222 days) did not reach statistical significance (p 0.12). Median survival was 584 days for patients with de novo AML, 375 days in group 1 (p 0.47), and 222 days in group 2 (p<0.001). Conclusion: In agreement with previous reports, we found that tr-AML is a poor prognostic factor overall (p 0.04). However, patients with a history of breast cancer who had been treated with taxanes as a part of their initial chemotherapy regimen demonstrated similar survival as patients with de novo AML (p 0.47). Tr-AML patients only did significantly worse than patients with de novo AML if they had never received taxanes as part of their breast cancer therapy (p<0.001). Disclosures: No relevant conflicts of interest to declare.

Abstract Background Familial myeloid neoplasms are rare causes of myeloid malignancies. Over the last few years germline mutations involving RUNX1, JAK2, GATA1, GATA2 and CEBPA genes have been associated with myelodysplastic syndromes (MDS), myeloproliferative neoplasms (MPN) and acute myeloid leukemia (AML). We carried out this study to describe the spectrum of familial myeloid neoplasms seen at our institution. Methods After due IRB approval, the myeloid neoplasms data base (1990-2012) at the Mayo Clinic in Minnesota was queried for patients presenting with, or having a strong family history of myeloid neoplasms. Selective sequencing of germline DNA was done in appropriate patients. Germline mutations that were screened for included; RUNX1, JAK2, GATA1, GATA2 and CEBPA. In one family with none of the aforementioned gene mutations, exome sequencing was performed. Families with chromosomal breakage and primary telomere disorders were excluded. All patients had bone marrow and cytogenetic studies at diagnosis. Results We identified six families with familial myeloid neoplasms (table one). There were two with germline GATA2 mutations (no.1 and 2); one with a novel c1339A>C, pS447R, non-zinc finger gene abnormality. In this family nine members have developed MDS/AML. All members had profound B/NK cell deficiency, viral warts and one member had primary lymphedema (Embergers syndrome). Three of the 6 seen at the clinic have successfully undergone allo- SCT. The second GATA2 mutated family had a less extensive history of myeloid neoplasms. There was one patient (no.5) who presented with long standing thrombocytopenia, clinically diagnosed as ITP. She eventually developed MDS with trisomy 8. She had three first degree relatives with myeloid neoplasms. Germline sequencing identified a RUNX1 mutation. Platelet electron microscopy identified characteristic ultrastructural changes. There was one family (no.4) with a germline JAK2V617F mutation. The propositus was diagnosed to have primary myelofibrosis and then demonstrated clonal evolution to a concomitant BCR-ABL1 p190 driven chronic myeloid leukemia. His sister and mother have essential thrombocytosis (ET) and his brother has a detectable JAK2 mutation (no evidence for disease). The patient has successfully undergone an allo-SCT. The patient with a GATA1 mutation (no.3) presented with congenital anemia and had craniofacial anomaly, atrial septal defect and developmental delays. Red cell and platelet ultrastructural abnormalities lead to the diagnosis with an additional family member having chronic anemia and suspected MDS. One family (no.6) presented with seven first degree relatives affected by MDS/AML. Germline sequencing for the aforementioned genes was negative. Exome sequencing has been performed and results should be available at the time of the meeting. The prepositus has successfully undergone allo-SCT. Conclusion Familial myeloid neoplasms are uncommon but warrant early recognition. Clues to diagnosis include strong family history, associated primary immunodeficiency states, morphological/skeletal abnormalities and platelet ultrastructural defects (RUNX1, GATA2, and GATA1). Exome and whole genome sequencing is an exciting prospect for further discoveries. Disclosures: No relevant conflicts of interest to declare.

Abstract Background Predictors of outcomes after reduced intensity conditioning (RIC) stem cell transplantation (SCT) in chronic lymphocytic leukemia (CLL) are not well established. The Dana Farber (DF) investigators (Brown et al, leukemia 2013) developed a prognostic scoring model for overall survival (OS) and disease free survival (DFS) that assigned one point to each of comorbidity index, absolute lymphocyte count, LDH and disease status. The goals of the present study were to 1) validate the DF model 2) identify additional predictors of outcomes after SCT. Methods This study is a retrospective review of the Mayo Clinic CLL database and was approved by the Institutional Review Board. All CLL patients that underwent RIC-SCT were included. The prognostic significance of prognostic factors at time of RIC-SCT were analyzed, including the DF model. Survival was estimated and compared using the Kaplan Meier and Log Rank tests. Results From 2006 to 2012, 50 patients with CLL underwent RIC-SCT at the Mayo Clinic. Of these, 33 were male (66%) and the median age was 56 (29-69) years. The median time from diagnosis to RIC-SCT was 4.7 years (0.6-22.9). Indications for RIC-SCT were 17p deletion in 24 (48%) patients and purine nucleoside analogue (PNA) refractory disease in 26 (52%) patients. Transplant related mortality was 6% and non-relapse mortality at 5 years was 14%. Acute graft versus host disease (GVHD) developed in 30 (60%) patients and chronic (c) GVHD was noted in 32 patients (64%). The 5-year relapse rate was 38%. The DF prognostic score stratified three categories for OS (score of 0, 1-2, ≥ 3), but was not associated with DFS in this cohort. We next evaluated the impact of other patient, disease, and transplant characteristics on clinical outcome. Development of cGVHD post-transplant was the dominant predictor of both DFS (HR 0.26, 95% CI=0.10-0.69, P=0.006) and OS (HR 0.04, 95% CI=0.01-0.19, P<0.0001, figure 1). The presence of 17p deletion at time of RIC-SCT was associated with shorter DFS (HR 3.99, 95% CI=1.43-11.18, P=0.008), but did not impact OS. Developing cGVH but not DF score remained an independent predictor of OS on a multi-variate analysis including both factors. Given these findings, we evaluated what pre-treatment patient, disease, and transplant characteristics predicted for subsequent development of cGVHD. Patients with higher scores on DF prognostic model were less likely to develop cGVHD (score 0=66%, 1-2=76%, ≥3=31%; P=0.01). Three CLL characteristics (complete or partial remission at time of RIC-SCT, absence of 17p deletion, and absence of ZAP70 overexpression) were predictors for development of cGVHD while alemtuzumab exposure ≤3 months prior to RIC-SCT decreased likelihood of cGVHD. On multivariate modeling using these four predictors, only ZAP70 overexpression was an independent negative predictor of developing cGVHD (Table 1). Rates of cGVHD post RIC-SCT in ZAP 70 positive and ZAP70 negative patients were 50% and 92%, respectively (p=0.03). Conclusion This study found that while the DF prognostic score is an effective way to predict outcome prior to RIC-SCT, development of cGVHD post-transplant is ultimately the most significant predictor for both OS and DFS after transplant in patients with CLL. Pretransplant characteristics that predict subsequent cGVHD include DF prognostic score and ZAP70 status. This is the first report to identify biologic characteristics of CLL B-cells associated with development of cGVHD post-transplant. Disclosures: No relevant conflicts of interest to declare.

Abstract We retrospectively reviewed all patients receiving bortezomib, lenalidomide and dexamethasone induction followed by autologous stem cell transplantation (ASCT) within 12 months of diagnosis for multiple myeloma at the Mayo Clinic. 243 patients treated between January 2010 and April of 2017 were included in the study. Median age was 61 (interquartile range, 55-67) with 62% of patients being male. High risk cytogenetic abnormalities (HRA) were present in 34% of patients. 166 (68%) patients received some form of maintenance/other therapy post transplant (no maintenance (NM, n=77), lenalidomide maintenance (LM, n=108), bortezomib maintenance (BM, n=39) and other therapy (OT, n=19)). Overall response rate was 99% with complete response (CR) rate of 42% and 62% at day 100 and time of best response post transplant respectively. The four cohorts categorized by post transplant therapy were well matched for age, gender and ISS stage. HRA were more common amongst patients receiving bortezomib maintenance or other therapy post transplant (NM 18% vs LM 22% vs BM 68% vs OT 79%, p<0.0001). Two year and five year overall survival rates were 90% and 67% respectively with an estimated median overall survival (OS) and progression free survival (PFS) of 96 months and 28 months respectively for the whole cohort. OS was not significantly different when stratified by post-transplant therapy (Median OS 96 months for NM vs not reached for LM vs 62 months for BM vs not reached for OT, p=0.61), however post-transplant therapy was predictive of PFS (median PFS 23 months for NM vs 34 months for LM vs 28 months for BM vs 76 months for OT, p=0.01). High risk cytogenetics was associated with a worse OS but not PFS when compared to patients with standard risk (median OS: not reached for standard risk vs 60 months for HRA, p=0.0006; median PFS: 27 months for standard risk vs 22 months for HRA, p=0.70). In patients that did not receive maintenance therapy presence of HRA was a strong predictor of OS and PFS (median OS: not reached for standard risk vs 36 months for HRA, p<0.0001; median PFS: 24 months for standard risk vs 7 months for HRA, p<0.0001). Patients receiving maintenance therapy appeared to have a similar PFS and OS irrespective of cytogenetics (median OS: not reached for standard risk vs 62 months for HRA, p=0.14; median PFS: 35 months for standard risk vs 34 months for HRA, p=0.79).On multivariable analysis ISS stage III and achieving CR/stringent CR predicted PFS whilst the only independent predictors of OS were presence of HRA and achieving CR/stringent CR. The combination of bortezomib, lenalidomide and dexamethasone followed by ASCT is a highly effective regimen producing deep and durable responses in many patients. Maintenance therapy in this cohort may overcome the poor prognostic impact of high risk cytogenetic abnormalities. Table Table. Disclosures Dispenzieri: Celgene, Takeda, Prothena, Jannsen, Pfizer, Alnylam, GSK: Research Funding. Lacy:Celgene: Research Funding. Dingli:Alexion Pharmaceuticals, Inc.: Other: Participates in the International PNH Registry (for Mayo Clinic, Rochester) for Alexion Pharmaceuticals, Inc.; Millennium Takeda: Research Funding; Millennium Takeda: Research Funding; Alexion Pharmaceuticals, Inc.: Other: Participates in the International PNH Registry (for Mayo Clinic, Rochester) for Alexion Pharmaceuticals, Inc.. Kapoor:Celgene: Research Funding; Takeda: Research Funding. Kumar:KITE: Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; AbbVie: Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Membership on an entity's Board of Directors or advisory committees, Research Funding. Gertz:Abbvie: Consultancy; Apellis: Consultancy; annexon: Consultancy; Medscape: Consultancy; celgene: Consultancy; Prothena: Honoraria; spectrum: Consultancy, Honoraria; Amgen: Consultancy; janssen: Consultancy; Ionis: Honoraria; Teva: Consultancy; Alnylam: Honoraria; Research to Practice: Consultancy; Physicians Education Resource: Consultancy.

Abstract Background : Pre-treatment determinants of survival in adult acute myeloid leukemia (AML) include performance status, age, karyotype, the distinction between primary and non-primary AML and FLT3-ITD/NPM1 mutational status. Current literature on AML natural history and risk factors is often based on information derived from stringent protocol studies. In the current series of 1,123 adult patients seen at the Mayo Clinic between 2004 and 2017, we examined long-term survival specified by a number of primarily established risk factors. Methods: Diagnosis of AML and its sub-classification was according to World Health Organization criteria. Study subjects were recruited from the Mayo Clinic AML database. Conventional response criteria were used for CR and CRi assignment; the latter met all criteria for CR with the exception of platelet count <100 x 109/l or absolute neutrophil cunt <1 x 109/l. Standard statistical methods were used for analysis of overall survival, calculated from the initial diagnosis of AML to date of death or last follow-up; analyses were performed both in the absence and in the presence of censoring of survival at time of allogenic stem cell transplant (ASCT). The JMP® Pro 13.0.0 software from SAS Institute, Cary, NC, USA, was used for all calculations. Results: 1,123 adult patients (median age 65 years, range 18-94; 61% males) with non-APL AML were considered; 61% were age >60 years. 351 (31%) patients were seen between 2004 and 2009 and 772 (69%) between 2010 and 2017. AML subcategories were primary (56%), post-myelodysplastic syndromes (post-MDS; 24%), therapy-related (10%), post-myeloproliferative neoplasm (post-MPN; 8%) and post-MDS/MPN (3%). Cytogenetic risk distribution, according to the European LeukemiaNet classification, was favorable in 47 (4%), intermediate in 650 (58%) and adverse risk in 426 (38%) patients. FLT3, NPM1 and CEBPA mutation information was available in 462 (24% mutated), 393 (27% mutated) and 228 (11% mutated) patients, respectively. Treatment included intensive chemotherapy (IC) in 766 (68%) patients, less aggressive chemotherapy, including the use of hypomethylating agents in 144 (13%) and supportive care alone in 213 (19%) patients. ASCT was utilized in 258 (23%) cases, almost all performed after achieving CR/CRi. Complete remission (CR) and CR with incomplete count recovery (CRi) were listed in 333 (30%) and 248 (22%) patients, respectively; the corresponding rates in IC-treated patients were 43% and 32%. Almost all cases of CR/CRi occurred in IC-treated patients; 2 (1.4%) CRs were listed for less aggressive chemotherapy. After a median follow-up of 11 months, 798 (71%) deaths were recorded. Median survival for all 1,123 patients was 14 months with 1-, 3- and 5-year survival rates of 54%, 29% and 23%, respectively; a slight but significant (p=0.01) improvement in survival was apparent in more recent years (Figure 1a). Figures 1b, 1c and 1d depict analysis stratified by AML subcategories, treatment received and response obtained, respectively. Similarly, figures 2a, 2b and 2c depict analysis stratified by karyotype, use of ASCT and age. Multivariable analysis of pre-treatment parameters evaluable in all 1,123 patients identified age >60 years (HR 2.2, 1.9-2.6), adverse karyotype (HR 2.9, 1.9-4.9), intermediate-risk karyotype (HR 1.6, 1.02-2.6), post-MPN AML (HR 1.9, 1.5-2.4) and other secondary AML (HR 1.3 (1.1-1.6), as risk factors for shortened survival; the inclusion in the model of FLT3/NPM1 mutational status in 392 informative cases confirmed the adverse prognostic effect of age >60 years (HR 1.8, 1.4-2.5), adverse karyotype (HR 3.7, 1.4-15.3), post-MPN AML (HR 2.8, 1.6-4.6), other secondary AML (HR 1.4, 1.0-1.9) and FLT3+NPM1- (HR 2.8, 1.6-4.9) and FLT3-NPM1- (HR 1.7, 1.2-2.7) profile. Results were unchanged when survival was censored at time of ASCT. Additional prognostic interaction with treatment strategy and ASCT is further elaborated in an accompanying abstract to be presented. Conclusions: The current study, the largest coming from a single institution, provides practically useful information that should assist with patient consultation on AML prognosis and treatment. The study confirms the primary prognostic importance of age, karyotype and FLT3/NPM1 mutational status, in real-life practice. Novel observations included comparable value of CRi vs CR and the particularly worse prognosis associated with post-MPN AML. Disclosures Al-Kali: Novartis: Research Funding.

Abstract Introduction: Outcomes in multiple myeloma have significantly improved in recent times owing to the availability of newer more effective therapies. Autologous stem cell transplantation (ASCT) has been used for over three decades to treat multiple myeloma. We aimed to evaluate the outcome of patients receiving ASCT at our institution between 1990 and 2015. Patients and Methods: A total of 2025 patients received ASCT at Mayo Clinic Rochester between 1st January 1990 and 31st December 2015. The patients were divided in to three cohorts of approximately equal time period, Cohort 1 (1990-1999, n=144), Cohort 2 (2000-2009, n=909) and Cohort 3 (2010-2015, n=972). Outcomes of interest were early mortality, progression free survival (PFS) and overall survival (OS). Disease characteristics were documented from time of diagnosis and PFS and OS were calculated from date of ASCT unless otherwise stated. Results: Median age for the whole cohort was 60 years (range 24-77) and increased over time (55 Cohort 1 vs 59 Cohort 2 vs 61 Cohort 3, p<0.0001). The proportion of males (60% for whole cohort) was not significantly different between the 3 time periods. Almost all patients (99%, n=2018) received chemotherapy prior to transplantation (median lines of therapy 1, range 0-6). The number of patients receiving >1 line of therapy prior to transplantation decreased over time (67% Cohort 1 vs 27% Cohort 2 vs 34% Cohort 3, p<0.0001). The use of novel agents was congruous with their availability and increased over time (0% Cohort 1 vs 59% Cohort 2 vs 100% Cohort 3, p<0.000). After a median follow up of 84 months (95% CI, 78-91 months), median PFS and OS for the whole cohort were 24 and 66 months respectively. Both PFS and OS improved significantly over time (median PFS: 12 months Cohort 1vs 18 months Cohort 2 vs 33 months Cohort 3, p<0.0001; median OS: 26 months Cohort 1vs 63 months Cohort 2 vs 83 months Cohort 3, p<0.0001), Figure 1. The improvement in PFS and OS over the 3 time periods was seen in patients receiving early (≤ 12 months from diagnosis) and delayed (>12 months) ASCT, Table 2. OS from diagnosis was no different for early versus delayed transplant in Cohort 1 and Cohort 2 (Cohort 1: median OS 57 months for early vs 56 months for delayed, p=0.24 and Cohort 2: median OS 81 months for early vs 82 months for delayed, p=0.70) and showed a trend towards a marginal benefit for delayed transplant in Cohort 3 (median OS 105 months for early vs 109 months for delayed, p=0.046).Treatment related mortality (100 days post transplant) improved over time (7.6% Cohort 1 vs 1.8% Cohort 2 vs 0.7% Cohort 3, p<0.0001), Figure 2A. Mortality within 12 months of ASCT also improved over time (24% Cohort 1vs 8% Cohort 2 vs 6% Cohort 3, p<0.0001). A landmark analysis of OS from 12 months post ASCT continued to reveal improved survival over time(median OS 26 months Cohort 1vs 63 months Cohort 2 vs 83 month Cohort 3, p<0.0001), Figure 2B. Conclusion: ASCT remains an important therapeutic option for eligible patients with multiple myeloma. There has been a marked improvement over time in PFS and OS and reduction in treatment related mortality and early mortality in myeloma patients receiving ASCT. This is likely to reflect the addition of novel agents to induction regimens and improved post transplant therapies. Despite these improvements myeloma remains incurable with patients continuing to relapse and die many years after ASCT. Disclosures Dispenzieri: Celgene, Takeda, Prothena, Jannsen, Pfizer, Alnylam, GSK: Research Funding. Lacy:Celgene: Research Funding. Dingli:Alexion Pharmaceuticals, Inc.: Other: Participates in the International PNH Registry (for Mayo Clinic, Rochester) for Alexion Pharmaceuticals, Inc.; Millennium Takeda: Research Funding; Millennium Takeda: Research Funding; Alexion Pharmaceuticals, Inc.: Other: Participates in the International PNH Registry (for Mayo Clinic, Rochester) for Alexion Pharmaceuticals, Inc.. Kapoor:Takeda: Research Funding; Celgene: Research Funding. Kumar:Janssen: Membership on an entity's Board of Directors or advisory committees, Research Funding; AbbVie: Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; KITE: Membership on an entity's Board of Directors or advisory committees, Research Funding. Gertz:Research to Practice: Consultancy; Physicians Education Resource: Consultancy; Amgen: Consultancy; spectrum: Consultancy, Honoraria; celgene: Consultancy; annexon: Consultancy; janssen: Consultancy; Alnylam: Honoraria; Abbvie: Consultancy; Ionis: Honoraria; Teva: Consultancy; Apellis: Consultancy; Medscape: Consultancy; Prothena: Honoraria.

Abstract Abstract 4804 Background: Chronic myeloid leukemia (CML) is one of the classic myeloproliferative neoplasms characterized by a reciprocal translocation of BCR and ABL t(9;22)(q34;q11). Tyrosine kinase inhibitors (TKI) have revolutionized the management of CML in inducing rapid and prolonged responses. However; clonal evolution (CE) is considered a poor prognostic factor and a criterion for accelerated phase (AP) CML by the World Health Organization (WHO). Deletion of chromosome Y (−Y) is frequently considered an age-related abnormality and the exact prognostic value has not yet been determined. Aim: To determine if –Y carries an impact on the clinical outcome of male pts with CML. Methods: All male patients diagnosed with chronic phase CML in our institution between 1993 and 2011 were screened for -Y. Data were collected in a retrospective manner and compared (using t-test) to male patients with sole BCR-ABL translocation after excluding patients with advanced stages (accelerated phase, blast phase). Demographics, laboratory tests, cytogenetic analysis, molecular testing and survival data were abstracted. Kaplan-Meier estimates of overall survival were used via JMP software v9.0. Institutional Review Board (IRB) approval was obtained for this study in accordance with the Helsinki Declaration. Results: 20 of 162 (12%) males with CML were found to have –Y abnormality (group 1). CML male patients with sole Philadelphia chromosome abnormality were the control cohort (group 2). In group1; the median age was 57 years, BMI 27.7, hemoglobin 12.2 g/dL, white blood cell count (WBC) 32.8 x109/L, platelet 270 x109/L, and peripheral blood blasts 1%. Sokal risk was low in 30%, intermediate in 65% and high in 5% of pts. Nine pts (45%) were treated with interferon (IFN) prior to TKI. In group 2; the median age was 54 years, hemoglobin 12 g/dL, WBC 57 x109/L, and platelet 282 x109/L. Sokal risk was low in 37%, intermediate in 47%, and high in 16%. 46 of 142 patients (32%) had received previous interferon therapy. All patients in both groups had chronic phase CML at the time of diagnosis, with a median bone marrow cellularity of 95%. In group 1, 14 of 20 pts (70%) received imatinib, all of whom achieved a complete hematological response (CHR), 7 of 14 pts (50%) had partial cytogenetic response, 2 of 14 pts (14%) achieved a complete cytogenic response (CCyR);1 (7%) pt achieved CCyR within 12 months and an additional 1 (7%) by 18 months). Two pts of 12 (16%) achieved at least a major molecular response (MMR); one of whom (8%) achieved a complete molecular response (CMR). In comparison, 107of 142 pts (75%) in group 2 received imatinib, all of whom achieved CHR. Twenty-one pts (20%) achieved partial cytogenetic remission. CCyR was more frequently achieved than group 1 (48/107 pts (45%), p 0.026); 24 pts (22%) achieved CCyR within 12 months of therapy and an additional 10 pts by 18-months. MMR and/or CMR was higher in group 2 compared to group 1 (34 /101 (34%), p 0.18); 16 (16%) of which were CMR. In group 1; 6 (30%) pts had disease progression; 4 of 20 pts (20%) progressed to blast phase (BP) and 2 pts (10%) progressed to AP, compared to 32 (22%) pts in group 2 (p 0.17); 22 (15%) of whom progressed to BP and 10 (7%) patients progressed to AP. Median overall survival was 110 months in group 1 compared to 155 months in group 2 (log rank p=0.48). On multivariate analysis, CCyR was an independent factor for a better OS (p 0.03), but not –Y (p 0.7). Conclusion: Loss of the Y chromosome in chronic myelogenous leukemia is an infrequent phenomenon (12%). Although patients with –Y had a statistically significant less chance to achieve CCyR, loss of the Y chromosome did not affect the progression rate or overall survival. Larger scale studies are needed to confirm our observations Disclosures: No relevant conflicts of interest to declare.