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Abstract Background: Classic reports on lymphocyte development hold that B and T cells develop independently. This concept derives in part from the observation that patients with pure B cell immunodeficiency and hypogammaglobulinemia have a normal thymus and T cell numbers. Our recent findings however challenge this concept. We found that T cell development depends not only on the interaction of T cell precursors with thymic epithelial cells but also on other cells. Here we report that those other cells are B cells. Aims: The purpose of this study was to determine whether B cells drive T cell development and TCR diversification in the thymus. Methods: We compared the number of sub-populations of thymocytes and TCR repertoire diversity in B-cell deficient and B-cell proficient mice and in B cell deficient mice following immunoglobulin (Ig) injections. Total leucocytes numbers were determined with a Coulter counter and numbers of thymocytes sub-populations were calculated by flow cytometry analysis. TCR repertoire diversity was measured by a novel method based on hybridization of TCR Vβ specific cRNA on a gene chip platform. Results: In B-cell deficient mice the number of thymocytes was four times reduced and TCR Vβ chain diversity was up to one million times lower compared with wild type mice. Numbers and diversity were restored by treatment of the mice with gamma globulin (see table). Conclusions: T cell development and diversification is driven by B cells. Mice Number of total thymocytes (mean ± standard deviation) p Value β V TCR diversity of thymocytes (median; min.-max.) p Value C57BL/6 (wild mice) 1.3 x 108 ± 5.1 x 107N=7 4.7 x 106; 1.0 x 105 − 1.1 x 108N=5 JH−/− (B cell immunodeficient mice) 3.1 x 107 ± 1.7 x107N=7 0.002 5.9 x 102; 3.6 x 102 − 1.1 x 103N=5 0.0002 JH−/− treated with Ig 3.9 x 107 ± 1.4 x106N=2 0.20 1.1 x 105; 2.7 x 100 − 7.7 x 105N=4 0.08

Abstract Introduction: The immunoglobulin (Ig) is one of the most diverse molecules in nature, and its therapeutic potential, by stimulation of the immune system, has been widely studied/used. Its effect is manifest at the cellular and humoral compartments. However it is still to clarify the specific effect of each fraction of the molecule in the observed immune stimulation. Aims: To develop a murine model of ASCT that mimics the autologous transplant in humans To study the independent effect of the various fractions of the immunoglobulin in the reconstitution of the immune system after ASCT. Methods: In this study, we developed, de novo, a murine model of ASCT. Four groups of transplanted animals were established (weekly injections of: Ig (n=8) or Fab fragment (n=7) or Fc fragment (n=6) or saline (control, n=7)). The evolution of the immune reconstitution was monitored weekly and compared among groups by characterization of cellular fractions by flow cytometry, serum levels of Igs by ELISA and thymic function by quantification of TRECs (“T cell receptor excision circles”). The statistical analysis of the longitudinal data was performed by a linear-mixed effects model. Results: We determined that a regimen of daily injections of G-CSF for 4 consecutive days produces a degree of mobilization of hematopoietic stem cells adequate for a donors/recipient ratio of 9 to 7, and to a standard engraftment extent. Regarding the recovery of cellular sub-populations among groups, the major differences occur up to the 6th week (w) after ASCT. As soon as 2 w after ASCT the treated groups show higher counts of CD4+ T cells compared with control mice (p<0.05). The maximum number of CD4+ T lymphocytes was attained at 2 w after ASCT for mice treated with Fab and Fc and at 9 w for mice treated with polyclonal Ig and PBS. The recovery of CD4+ T lymphocytes in the treated groups was higher compared to control (p<0.001 for Fab, p<0.001 for Fc and p=0.001 for polyclonal Ig). For CD8+ T cells, the mice treated with Fc show, during all the follow up, superior values, being statistically significant when compared to PBS treated mice (p=0.003). The differences with the other groups vary with time. Regarding the recovery of CD19+ lymphocytes, the mice treated with Fab reveal, after the 7th w, superior counts compared to all the other groups (p<0.05). Treated groups (Fab and Fc) show higher values of serum IgM compared to control, as well as an earlier recovery of levels (p<0.05). In what concerns CD4+ naïve T cells, the group treated with polyclonal Ig shows an increased recovery during the first weeks of treatment compared with the other groups (p<0.05). Conclusions and Discussion: The early treatment with polyclonal Ig or its fragments is highly beneficial for the recovery of CD4 and CD8 T lymphocytes (earlier recovery and higher cell counts). After the 6th week after transplant there is a tendency for homeostasis. The increase of CD4+ naïve T cells with Ig treatment may well correspond to an increased thymopoiesis, as suggested by our previous studies.

Abstract Background: Combination regimens incorporating bortezomib (VELCADE®, Vc), lenalidomide (REVLIMID®, Rev), dexamethasone (Dex) and cyclophosphamide (Cy) (Vc–Dex, Rev–Dex, Vc–Dex–Rev [VDR], and Vc–Dex–Cy [VDC]), have all shown substantial activity in previously untreated multiple myeloma (MM). A combination of all four agents (VDCR) may result in even greater activity. This randomized multi-center 3-arm phase I/II EVOLUTION study is investigating the efficacy and safety of VDR, VDC, and VDCR as initial therapy in previously untreated MM patients (pts). We now report safety and efficacy results from the phase l dose-escalation portion of the study, which sought to determine the maximum tolerated dose (MTD) of the VDCR regimen. These results represent the first clinical data with this novel 4-drug combination that includes bortezomib, lenalidomide, an alkylator, and a corticosteroid. Methods: Pts received Vc 1.3 mg/m2 IV (d 1, 4, 8, 11), Dex 40 mg PO (d 1, 8, 15), Rev 15 mg PO (d 1–14), plus Cy 100, 200, 300, 400, or 500 mg/m2 PO (d 1, 8) for up to eight 21-d cycles, followed by Vc 1.3 mg/m2 (d 1, 8, 15, 22) for four 42-d maintenance cycles. Pts received prophylactic antibiotics, acyclovir, transfusion support and concomitant anticoagulants as required. Eligible pts wishing to receive autologous stem cell transplant (ASCT) could undergo stem cell mobilization any time after cycle 2, and discontinue therapy for ASCT any time after cycle 4. The MTD was defined as the highest dose of Cy in combination with VDR resulting in ≤1 dose-limiting toxicity (DLT) in 6 pts. A DLT was defined as: platelet count <25,000/mm3 lasting >7 days or any platelet count <10,000/mm3; grade 4 neutropenia lasting >7 days; any ≥grade 3 non-hematologic toxicity considered to be related to Cy except for inadequately treated nausea, vomiting, and diarrhea, or any toxicity resulting in a >2 week treatment delay. Results: Twenty-six pts were enrolled; 1 pt was not dosed due to a heart problem and was excluded (dose level 4) and 4 pts were not evaluable for DLT. In the 25 treated pts, median age was 61 years (range 49–79); 52% were male; 48% had ISS Stage lI and 4% Stage III disease, and 44% had KPS ≤80%. At data cut-off, 11 pts remain on treatment and 9 have undergone successful ASCT. To date, median treatment duration is 4 cycles (range 2–11). Two pts experienced DLT: 1 grade 4 febrile neutropenia at dose level 4 (Cy 400 mg/m2), and 1 grade 3 herpes zoster virus reactivation despite antiviral prophylaxis at dose level 5 (Cy 500 mg/m2). The recommended phase II dose of Cy in the VDCR regimen was the highest planned dose of 500 mg/m2. The most common treatment-emergent AEs were constipation (64%), fatigue (60%), and nausea (52%). Hematologic toxicities were acceptable, with grade 3 neutropenia in 16% of patients, grade 4 in 4%, and grade 4 thrombocytopenia in 4%. Peripheral neuropathy (56%), included 8% grade 3 but no grade 4; no deep-vein thrombosis/pulmonary embolism events were reported. Overall rate of serious AEs was 40%; the only SAE reported in >1 pt was febrile neutropenia (2 pts). Best responses to date by International Uniform Response Criteria are shown in the table. Preliminary response rates are: 100% ≥PR, 68% ≥VGPR, 32% CR/nCR, 28% CR/stringent CR and 20% sCR. Ten pts have undergone stem cell mobilization with median CD34+ yield of 4.95×106/kg. Conclusions: VDCR was well tolerated and hematologic toxicities were manageable. The current study shows that the VDCR regimen is feasible and highly active in newly diagnosed myeloma and merits further testing in clinical trials. Enrollment to the 3 arms (VDR, VDC and VDCR) of the phase ll portion of the study and testing for minimal residual disease by flow cytometry are ongoing. Best unconfirmed response to date with VDCR Dose level 1 2 3 4 5 Cyclophosphamide dose, mg/m2 100 200 300 400 500 Enrolled 3 4 4 8 7 Treated 3 4 4 7 7 Still on treatment – 1 1 2 7 Best unconfirmed response to date CR (sCR) 2 (2) 1 (1) 1 (1) 2 1 (1) VGPR (nCR) 1 – 3 (1) 4 2 PR – 3 – 1 4

Abstract BACKGROUND: The first step to the cure of Multiple myeloma (MM) is achieving a clinical complete response (CR). However, a majority of patients relapse in part due to the persistence of low levels of pathological plasma cells after treatment (minimal residual disease (MRD)). In previous work, we have shown that Next generation sequencing (NGS) of immunoglobulin (IG) rearranged genes is an effective technology to identify and quantify pathological clonal cells in MM, and also it is a good predictor of patient prognosis. However, this technology is a proprietary multiplex PCR, uses a reference plasmid, it is performed at the centralized laboratories, and it is not broadly available. AIMS: To present a new in-house simplified method for quantification of IG gene clonal rearrangements by NGS. To test the suitability of the method for MRD detection in MM patients compared with 8-color high sensitivity Flow Cytometry (8c-MFC) data on a prospective way. To determine its capability as a predictor of patient prognosis. METHOD: We use deep sequencing to prospectively analyzed DNA from bone marrow samples of 58 patients (58 diagnostic samples and 80 follow-up samples) of patients included the GEM10 clinical trial. The method employs the primers developed by BIOMED-2 for IGH and IGK, and a set of specific mathematical and bioinformatics tools. First, we identified the clonal rearrangement(s) (clonotype) in the diagnostic sample by fragment analysis and NGS. Second, we searched the NGS sequences from follow-up samples to detect and quantitate (MRD) the presence of the clonotype identified in the diagnostic sample. Overall Survival (OS) and Progression free Survival (PFS) were estimated by Kaplan-Meier survival analysis. The survival curves generated were compared with the log-rank test for trend. RESULTS: The sensitivity of the method is 10-5 for 150.000 cells. Reproducibility is >90%. The Spearman correlation coefficient between NGS and 8c-MFC data for diagnosis and follow-up samples was R=0.6903, p<0.0001. When we applied the criteria of 10-5 for NGS, discordant results were as follow: 121 cases were positive by both methods, 2 cases were positive (>10-5) by 8c-MFC but negative (<10-5) by NGS; 7 samples were negative (<10-5) by 8c-MFC but positive (>10-5) by NGS; and 7 cases were negative by both methods. Next we analyzed de correlation of OS and PFS with MRD levels determined by NGS and by 8c-MFC. For NGS data, median PFS (FigA) was 34 months for patients with values of MRD>10-5 vs not reached for patients with values of MRD<10-5 (hazard ratio [HR] = 3.69, P =0 .0109). Also, for 8c-MFC data, the patients with values of MRD<10-5 had longer PFS than those with values of MRD>10-5 (34 months versus 47; HR = 3.69, P =0 .0109). Median OS (FigB) was also significantly longer in MRD<10-5 (NGS) patients (not yet reached), compared to MRD>10-5 (NGS) patients (41 months, HR = 3.6, P =0.0495). For 8c-MFC we did not get a significant association (41 vs 50 months, HR=1.979, p=0.228). It should be noted that this comparison was made with the standard 8c-MFC and it is probable that the sensitivity will be inferior to that of the Next generation flow. There were no significant differences in terms of PFS between the data obtained by our in-house method, 8c-FCM and previous data obtained with LymphoSight technology. CONCLUSIONS: Our data confirms that analysis of MRD levels determined by deep sequencing is capable of predict survival outcomes in myeloma patients. NGS sequencing of Ig genes is an effective technology to identify and quantify pathological clonal cells in MM. This approach is a methodological and economical alternative to MFC and other methods for MRD follow-up. Figure 1. Figure 1. Disclosures Paiva: Janssen: Consultancy; Celgene: Consultancy; BD Bioscience: Consultancy; Sanofi: Consultancy; Binding Site: Consultancy; Onyx: Consultancy; Millenium: Consultancy; EngMab AG: Research Funding. Ocio:Pharmamar: Consultancy, Research Funding; MSD: Research Funding; Novartis: Consultancy, Research Funding; Mundipharma: Consultancy, Research Funding; Bristol Myers Squibb: Consultancy; Amgen/Onyx: Consultancy, Honoraria, Research Funding; Celgene: Honoraria, Research Funding; Array BioPharma: Consultancy, Research Funding; Jassen: Honoraria. Mateos:Celgene: Consultancy, Honoraria; Takeda: Consultancy; Janssen-Cilag: Consultancy, Honoraria; Onyx: Consultancy. San Miguel:Novartis: Honoraria; Celgene: Honoraria; Janssen-Cilag: Honoraria; Bristol-Myers Squibb: Honoraria; Millennium: Honoraria; Onyx: Honoraria; Sanofi-Aventis: Honoraria.

Abstract Splenic marginal zone lymphoma (SMZL) is an indolent B cell malignancy whose diagnosis is based on lymphocyte morphology, immunophenotype and marrow and/or splenic histology. Unlike other lymphomas, there is not a common chromosomal translocation specific for SMZL, and genetic prognostic factors are poorly defined. To investigate the pattern of genomic aberrations in SMZL, we applied comparative genomic hybridization to BAC microarrays (array CGH) to a well characterized series of 75 SMZL specimens. We applied two different 1 Mb-resolution BAC arrays: UCSF HumArray 3.2 and a novel array CGH platform developed at Univ. of Salamanca. These arrays allowed us to detect DNA copy number changes across the genome with high accuracy in 67 of 75 patient samples. Data were compared with our previous array CGH studies of 170 samples from different B-cell lymphoma subgroups. FISH studies for IGH, IGK and IGL translocations and 7q deletion were performed on tissue microarrays in 24 cases. Of the 67 samples, 19 (28%) showed a normal genomic profile. The median number of genomic aberrations per tumor was 2.2 (1.3 gains and 0.9 losses), which was lower than the rates detected in other lymphoma subgroups (diffuse large cell lymphoma, 6.4; mantle cell lymphoma, 6; follicular lymphoma, 4.5) and comparable to MALT lymphomas (2 abnormalities per tumor). SMZL cells showed a genomic pattern characterized by gain of chromosomes 3q24-q29 (18%), 6p (9%), 12q (9%), and 18q (4%) and loss of 7q32 (34%), 8p21-p23 (13%), 17p13 (10%) at P53 locus and 6q21-q27 (9%). Notably, no alterations of the P16/ARF (9p21) or MYC loci (8q24) were detected. Correlation of array CGH data with conventional cytogenetics, FISH and LOH studies revealed a high concordance. Detailed mapping of 7q deletions delineated a consensus region of loss of 3 Mb in 7q32. This 7q deletion was almost exclusive to SMZL, being observed in only 5 of 170 non-SMZL B-cell lymphomas (p=0.0000001). Four cases presented IG-translocation. Mutation of IGH was observed in 62% and correlated with a complex karyotype (61 vs. 13%; p=0,0008) whereas unmutated IGH correlated with the deletion of 7q (56 vs. 23%; p=0,01). Among the various genomic abnormalities, only the deletion of 8p or the presence of a complex karyotype correlated with inferior overall survival (OS) (median OS, 58 vs. 110 months, p=0,004; and 60 vs. 105 months, p=0,01; respectively). In summary, array CGH has defined a pattern of genomic aberrations in SMZL that differs from other B-cell lymphoma subgroups and that may predict overall survival. Because the deletion of 7q32 is the most distinctive genetic marker in SMZL, the identification of a putative tumor suppressor gene inactivated within the region of deletion seems mandatory.

Abstract Background: Venetoclax (VEN) is a potent, selective, orally available small-molecule BCL-2 inhibitor that induces cell death in multiple myeloma (MM) cell lines and primary samples, particularly those with t(11;14), which mostly have a favorable high BCL-2, low BCL-XL, and low MCL-1 profile. Methods: In this Phase 1, open-label study, patients (pts) with relapsed/refractory (R/R) MM received VEN monotherapy. Objectives of the study were to assess safety, pharmacokinetics, maximum tolerated dose, recommended phase 2 dose, and efficacy (objective response rate [ORR], time to progression [TTP], and duration of response [DoR]) of VEN. After a 2-week lead in period with weekly dose escalation, VEN was given daily at final doses of 300, 600, 900, or 1200mg in dose escalation cohorts and 1200mg in the safety expansion. Pts who progressed during VEN monotherapy could receive VEN plus dexamethasone and continue in the study. Results: As of 01July2016, 66 pts were enrolled in the study (30 in dose escalation cohorts and 36 in safety expansion). Median age was 63 years and 39 (62%) pts were ISS stage II/III. The median number of prior therapies was 5 (range: 1-15), and 62 (94%) pts had received bortezomib (46 [70%] refractory), 62 (94%) received lenalidomide (51 [77%] refractory), and 50 (76%) had prior autologous stem cell transplant. Thirty (46%) pts had t(11;14) MM. Median time on VEN monotherapy for all pts was 2.5 months (.2-23); 17 (26%) elected to receive VEN and dexamethasone combination after disease progression for a median of 1.4 months (.1-11). Fifty-one (77%) pts discontinued the study for the following primary reasons: 39 related to disease progression, 5 due to AEs/toxicity, 2 withdrew consent, 1 was lost to follow up, and 4 for other reasons not specified. Common adverse events (AEs) in ≥20% of pts were nausea (48%), diarrhea (36%), neutropenia (32%), thrombocytopenia (32%), fatigue (27%), anemia (23%), back pain (21%), and vomiting (21%). Grade 3/4 AEs in ≥10% of pts were thrombocytopenia (26%), neutropenia (20%), lymphopenia (15%), anemia (14%), and decreased white blood cells (12%). Serious AEs in ≥2 pts were pneumonia (n=5), sepsis (3), pain, pyrexia, cough, and hypotension (2 each). Two pts experienced dose-limiting toxicities at 600mg of abdominal pain and nausea. Eight deaths were reported: 6 due to disease progression, 1 due to lung disorder, and 1 due to brain hemorrhage following injury; neither were considered by the investigator as related to VEN. Steady state VEN exposures were approximately dose proportional at all doses but 900mg. As of 20July2016, ORR for all pts on VEN monotherapy was 21% (14/66) and 10 (15%) achieved very good partial response (VGPR) or better (2 stringent complete response [sCR], 2 CR, 6 VGPR) (Figure); median DoR and TTP was 9.7 and 2.6 months, respectively. Most objective responses (12/14 [86%]) were reported in the subset of pts with t(11;14) MM. In this group, ORR was 40% (12/30) and 27% (8/30) achieved a response of ≥VGPR; median DoR for pts with t(11;14) was 9.7 months (95% CI: 6.3, -). Pts who achieved at least minimal response in the t(11;14) group (14/30) had a median of 4 prior therapies and were mostly refractory to bortezomib, lenalidomide, or double refractory (71% [10/14] each). For two pts with response in the non-t(11;14)/undetermined group, 1 had a translocation of chromosome 14 with an unidentified partner, and the other had no cytogenetics data available. DoR was 9.5 and 7.2 months in these pts and both are still ongoing. Median TTP for pts with or without/undetermined t(11;14) was 6.6 and 1.9 months, respectively. The median best percent change in primary M protein for pts with t(11;14) (n=23) was -53% vs +11% in the non-t(11;14)/undetermined group (n=23). Additional biomarker subgroup analyses (n=32) showed that efficacy was primarily observed in pts with myeloma cells expressing a favorable BCL-2 family expression profile (high BCL-2, low BCL-XL, low MCL-1) by immunohistochemistry, which was significantly enriched in the t(11;14) population. Indeed, although high BCL-2 expression was observed in a majority of bone marrow core biopsy samples (88%), the t(11;14) subgroup was enriched (81% vs 25%) for tumors expressing high BCL-2, low BCL-XL, and low MCL-1. Conclusions: VEN monotherapy has an acceptable safety profile and clear anti-myeloma activity in pts with R/R MM, primarily with t(11;14) having a high BCL-2, low BCL-XL and low MCL-1 expression levels. Figure Figure. Disclosures Kumar: Janssen: Consultancy, Research Funding; Sanofi: Consultancy, Research Funding; Noxxon Pharma: Consultancy, Research Funding; Skyline: Honoraria, Membership on an entity's Board of Directors or advisory committees; Onyx: Consultancy, Research Funding; Glycomimetics: Consultancy; AbbVie: Research Funding; Array BioPharma: Consultancy, Research Funding; Millennium: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Kesios: Consultancy; BMS: Consultancy. Kaufman:Novartis: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Pharmacyclics: Consultancy; Incyte: Consultancy. Mikhael:Abbvie: Research Funding; Celgene: Research Funding; Onyx: Research Funding; Sanofi: Research Funding. Facon:Amgen: Consultancy, Speakers Bureau; Novartis: Consultancy; Bristol: Consultancy; Millenium/Takeda: Consultancy; Janssen: Consultancy, Speakers Bureau; Celgene: Consultancy, Speakers Bureau; Karyopharm: Consultancy. Benboubker:Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees; Amgen: 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. Moreau:Celgene: Honoraria; Janssen: Honoraria; Takeda: Honoraria; Novartis: Honoraria; Amgen: Honoraria. Alzate:AbbVie: Employment. Ross:AbbVie: Employment, Equity Ownership. Dunbar:AbbVie Inc.: Employment, Other: may own stock. Xu:AbbVie: Employment. Agarwal:AbbVie: Employment. Leverson:AbbVie: Employment, Other: Shareholder in AbbVie. Maciag:AbbVie: Employment. Verdugo:AbbVie: Employment, Other: may own stock. Touzeau:AbbVie: Research Funding.

Abstract Background: ENESTop, an ongoing, single-arm, phase 2 study (ClinicalTrials.gov, NCT01698905), is the first trial specifically evaluating treatment-free remission (TFR; ie, stopping tyrosine kinase inhibitor [TKI] treatment without a loss of response) in patients with chronic myeloid leukemia in chronic phase (CML-CP) who achieved a sustained deep molecular response after switching from imatinib (IM) to nilotinib (NIL). Of 126 patients in ENESTop who were eligible to stop NIL, 57.9% (95% CI, 48.8%-66.7%) maintained TFR at 48 weeks. Here we present results from a subgroup analysis based on reasons for switching from IM to NIL, categorized as intolerance, resistance, and physician preference. Methods:Eligible patients were adults with CML-CP who received ≥ 3 years of total TKI therapy (> 4 weeks of IM, followed by ≥ 2 years of NIL) and achieved a sustained MR4.5 (BCR-ABL1 ≤ 0.0032% on the International Scale [BCR-ABL1IS]) on NIL therapy; patients with a documented MR4.5 at the time of switch from IM to NIL were not eligible. Enrolled patients continued NIL treatment in a 1-year consolidation phase, and those without confirmed loss of MR4.5 (ie, consecutive BCR-ABL1IS > 0.0032%) were eligible to stop NIL in the TFR phase. Patients with loss of major molecular response (MMR; ie, BCR-ABL1IS > 0.1%) or confirmed loss of MR4 (ie, consecutive BCR-ABL1IS > 0.01%) during the TFR phase reinitiated NIL treatment. The primary endpoint was the proportion of patients who maintained TFR (ie, no loss of MMR, confirmed loss of MR4, or treatment reinitiation) at 48 weeks after stopping NIL. In this post hoc analysis, rates of TFR at 48 weeks after stopping NIL and a Kaplan-Meier (KM) analysis of treatment-free survival (TFS; defined as the time from the start of TFR to the earliest occurrence of any of the following: loss of MMR, confirmed loss of MR4, reinitiation of NIL due to any cause, progression to accelerated phase/blast crisis, death due to any cause) were evaluated in subgroups of patients who switched from IM to NIL due to intolerance, resistance, or physician preference. These categories were determined by grouping the reasons for switching from IM to NIL, as reported by the investigators, based on relatedness to safety (intolerance), loss of response/treatment failure (resistance), and the physician's clinical judgment (physician preference); individual reasons included within each category are presented in the Figure. Results:A total of 125 patients who entered the TFR phase were included in this analysis; 1 patient who was found to have had atypical transcripts was excluded. Among these 125 patients, the reasons for switching to NIL were categorized as intolerance in 51 patients (40.8%), resistance in 30 patients (24.0%), and physician preference in 44 patients (35.2%). The proportion of patients who maintained TFR at 48 weeks after stopping NIL was generally similar across the 3 subgroups: 30 of 51 (58.8%; 95% CI, 44.2%-72.4%) in the intolerance subgroup, 16 of 30 (53.3%; 95% CI, 34.3%-71.7%) in the resistance subgroup, and 27 of 44 (61.4%; 95% CI, 45.5%-75.6%) in the physician preference subgroup. KM analysis of TFS showed that in all 3 subgroups, the majority of TFS events occurred within the first 24 weeks after stopping NIL (Figure). There were no notable differences in the kinetics of TFS events among subgroups. The KM-estimated median duration of TFS was not reached by the data cutoff date in all 3 subgroups. Conclusion: Primary analysis from ENESTop showed that among patients with CML-CP who achieved a sustained MR4.5after switching from IM to NIL, 57.9% of those who stopped NIL maintained TFR at 48 weeks. In the present analysis, TFR was maintained at 48 weeks after stopping NIL by > 50% of patients in the intolerance, resistance, and physician preference subgroups, with generally similar results across subgroups. These findings suggest that the rate of successful TFR following second-line NIL does not differ based on the reasons for switching from IM to NIL. Figure. Figure. Disclosures Hughes: Ariad: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; BMS: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Australasian Leukaemia and Lymphoma Group (ALLG): Other: Chair of the CML/MPN Disease Group. Boquimpani:Novartis: Research Funding, Speakers Bureau; BMS: Speakers Bureau. Takahashi:Novartis: Honoraria, Research Funding; Pfizer: Honoraria, Research Funding; BMS: Honoraria. Shuvaev:Pfizer: Honoraria; BMS: Honoraria; Novartis pharma: Honoraria. Ailawadhi:Pharmacyclics: Consultancy; Novartis: Consultancy; Amgen Inc: Consultancy; Takeda Oncology: Consultancy. Lipton:Pfizer: Consultancy, Research Funding; Novartis: Consultancy, Research Funding; BMS: Consultancy, Research Funding; Ariad: Consultancy, Research Funding. Turkina:Pfizer: Honoraria; Novartis Pharma: Honoraria; BMS: Honoraria. Moiraghi:BMS: Speakers Bureau; NOVARTIS: Speakers Bureau. Nicolini:Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; BMS: Consultancy, Honoraria; Ariad pharmaceuticals: Honoraria, Membership on an entity's Board of Directors or advisory committees. Sacha:BMS: Consultancy, Honoraria, Speakers Bureau; Incyte: Consultancy, Honoraria, Speakers Bureau; Pfizer: Consultancy, Honoraria, Speakers Bureau; Novartis: Consultancy, Honoraria, Speakers Bureau; Adamed: Consultancy, Honoraria. Kim:Pfizer: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; BMS: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Novartis: Consultancy, Honoraria, Research Funding, Speakers Bureau; ILYANG: Consultancy, Honoraria, Research Funding. Fellague-Chebra:Novartis: Employment. Acharya:Novartis Healthcare Pvt. Ltd.: Employment. Krunic:Novartis: Employment, Equity Ownership. Jin:Novartis: Employment, Equity Ownership. Mahon:BMS: Honoraria; PFIZER: Honoraria; NOVARTIS PHARMA: Honoraria, Research Funding; ARIAD: Honoraria.

Abstract Background: ENESTop (NCT01698905) is an ongoing, single-arm, phase 2 study evaluating treatment-free remission (TFR) in patients (pts) with chronic myeloid leukemia in chronic phase (CML-CP) who achieved sustained molecular response 4.5 (MR4.5; BCR-ABL1 ≤ 0.0032% on the International Scale [BCR-ABL1IS]) on second-line nilotinib (NIL). In the primary analysis, 57.9% (95% CI, 48.8%-66.7%) of pts who stopped NIL maintained TFR (no loss of major molecular response [MMR; ie, BCR-ABL1IS > 0.1%], confirmed loss of MR4 [ie, consecutive BCR-ABL1IS > 0.01%], or treatment reinitiation) at 48 weeks. Adverse events (AEs) were reported in 73.8% of pts during the first 48 weeks of TFR vs 77.0% during the year prior to stopping treatment. The incidence of musculoskeletal pain-related AEs was higher during TFR (42.1% vs 14.3%). To assess the potential effect of stopping NIL on quality of life (QOL), pt-reported outcomes were assessed before and during TFR. Methods: ENESTop enrolled adult pts with CML-CP with ≥ 3 years of prior tyrosine kinase inhibitor (TKI) therapy (> 4 weeks of imatinib [IM], then ≥ 2 years of NIL). Pts must have achieved sustained MR4.5 on NIL after switching from IM. Enrolled pts entered a 1-year NIL treatment consolidation phase; those without confirmed loss of MR4.5 (ie, consecutive BCR-ABL1IS > 0.0032%) entered the TFR phase and stopped NIL. Pts with loss of MMR or confirmed loss of MR4 during the TFR phase reinitiated NIL. QOL was assessed via questionnaires completed by pts at specified time points. The MD Anderson Symptom Inventory for CML (MDASI-CML) questionnaire assessed, for a defined set of symptoms, the levels of severity and interference with daily life on a scale of 0 to 10, with 0 being the lowest level. The EQ-5D-5L questionnaire assessed problems experienced by pts (no, slight, moderate, severe, or extreme [ie, interfering with functioning] problems) in 5 dimensions: mobility, self-care, usual activities, anxiety/depression, and pain/discomfort; additionally, overall level of health was assessed on a scale of 0 to 100 using the EQ VAS, with 0 being the lowest level. Results: Of 163 enrolled pts, 126 met the criteria for stopping NIL in the TFR phase; of these 126, 53 had loss of MMR or confirmed loss of MR4, of whom 51 reinitiated NIL. Among pts who completed each questionnaire at week 48 of the consolidation phase, week 12 of the TFR phase, or week 48 of the TFR phase, mean MDASI-CML severity scores were 1.7, 1.5, and 1.2, respectively; mean MDASI-CML interference scores were 1.7, 1.6, and 1.4, respectively; and mean EQ VAS scores were 82.2, 78.8, and 82.3, respectively (Table). Among pts with sustained TFR and scores at both week 48 of the consolidation phase and week 12 or 48 of the TFR phase, minimal changes were observed in MDASI-CML and EQ VAS scores during TFR vs week 48 of the consolidation phase. Among pts who reinitiated NIL, mean MDASI-CML severity and interference scores and mean EQ VAS scores at 24 weeks after the start of retreatment were 1.6, 1.5, and 78.8, respectively; changes in scores between week 24 after treatment reinitiation and week 48 of the consolidation phase were minimal among pts with scores at both time points. Among pts who completed the EQ-5D-5L questionnaire, the proportions who reported problems (any level of severity) in the 5 dimensions were generally similar across time points, although problems with mobility and pain/discomfort were more common during TFR vs week 48 of the consolidation phase, particularly at week 12 of the TFR phase (Table). Conclusion: Changes in QOL after stopping NIL, as assessed using these questionnaires, were minimal. This may be related to pts having a relatively high QOL prior to stopping treatment given that they had tolerated ≥ 3 years of TKI therapy, including ≥ 2 years of NIL, prior to enrollment. Despite the higher incidence of musculoskeletal pain-related AEs observed during TFR (42.1% vs 14.3%), the overall QOL was generally similar between the TFR and consolidation phases. This suggests that these AEs did not have a significant negative impact on QOL. Longer follow-up in ENESTop will be needed to further evaluate trends in QOL after stopping second-line NIL. Disclosures Mahon: NOVARTIS PHARMA: Honoraria, Research Funding; BMS: Honoraria; ARIAD: Honoraria; PFIZER: Honoraria. Boquimpani:BMS: Speakers Bureau; Novartis: Research Funding, Speakers Bureau. Takahashi:Novartis: Honoraria, Research Funding; Pfizer: Honoraria, Research Funding; BMS: Honoraria. Shuvaev:Novartis pharma: Honoraria; Pfizer: Honoraria; BMS: Honoraria. Ailawadhi:Pharmacyclics: Consultancy; Novartis: Consultancy; Amgen Inc: Consultancy; Takeda Oncology: Consultancy. Lipton:Novartis: Consultancy, Research Funding; Ariad: Consultancy, Research Funding; BMS: Consultancy, Research Funding; Pfizer: Consultancy, Research Funding. Turkina:Novartis Pharma: Honoraria; Pfizer: Honoraria; BMS: Honoraria. Moiraghi:NOVARTIS: Speakers Bureau; BMS: Speakers Bureau. Nicolini:Ariad: 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, Research Funding; BMS: Consultancy, Honoraria. Sacha:Pfizer: Consultancy, Honoraria, Speakers Bureau; Incyte: Consultancy, Honoraria, Speakers Bureau; BMS: Consultancy, Honoraria, Speakers Bureau; Novartis: Consultancy, Honoraria, Speakers Bureau; Adamed: Consultancy, Honoraria. Kim:BMS: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; ILYANG: Consultancy, Honoraria, Research Funding; Pfizer: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Novartis: Consultancy, Honoraria, Research Funding, Speakers Bureau. Fellague-Chebra:Novartis: Employment. Acharya:Novartis Healthcare Pvt. Ltd.: Employment. Brandt:Novartis: Employment. Gnanasakthy:Novartis: Consultancy, Equity Ownership, Research Funding. Jin:Novartis: Employment, Equity Ownership. Hughes:Ariad: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; BMS: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding.

Abstract Next-generation sequencing (NGS) has revealed new insight into the complexity of clonal and subclonal architecture of multiple myeloma (MM). The introduction of targeted studies allows the detection of mutations with very low allele frequencies at affordable price. However, there is few information about the prognostic impact of this mutational profile in series of homogeneously treated MM patients. In this study, we analyzed the most frequently mutated genes in MM from patients included in a randomized clinical trial applying the highest read depth to date. We performed a correlation study between our results and cytogenetics aberrations and clinical outcomes. We used Ampliseq Library Kit 2.0 to target 77 genes (M3Pv2.0 panel) related to critical pathophysiological pathways, associated to drug resistance or targetable with molecular drugs in MM. We sequenced DNA (15ng) from CD138+ purified plasma cells from 80 MM patients at diagnosis included in GEM2010MAS65 clinical trial. We sequenced at an average read depth of 1500X and using Ion Proton sequencer (Thermo Fisher, USA, PaloAlto, CA). We used Ion Reporter software applying in-house modifications in call variants process. We also sequenced DNA from CD138 negative population in 30% of patients in order to filter out potential artifacts and stablish conditions for excluding germline variants. We first fitted a cox-proportional hazard model to predict survival and a second approach using a penalized regression LASSO. We identified 137 gene mutations in the 80 patients analyzed, 54 mutations were predicted pathogenic by Shif and Poliphen and 65 have been described in COSMIC database. 85% of patients harbored at least 1 mutation. The most frequently mutated genes were KRAS (16%), DIS3 (15%), NRAS (13%), BRAF (6%), and TP53 (5%), accounting for the 54% of the total number of mutations. The most frequently mutated pathways were RAS and NFKB in 34% and 28% of patients respectively. Mutational allele frequency for KRAS, BRAF and TP53 was, in all cases, lower than 50% while DIS3 showed mutations in a broad range (from 2 to 85%). Only one patient presented one mutation in NRAS at 73 % of allele frequency. For patients with more than one mutation, two different scenarios have been found. Some patients showed several genes mutated in a similar allele frequency values. On the contrary, a complex subclonal structure was confirmed in 3 patients, with mutations at very different clonal frequency. CD138 negative fraction was sequenced to confirm that these mutations were exclusive of plasma cells. The first of them had two mutations in DIS3 at 8 and 53% of allele frequency, second in KRAS and DIS3 at 13 and 63% respectively and the third in NRAS and IFNGR2 at 5 and 37% respectively. We found no differences in the survival based on pathway, mutational allele frequency or number of mutations. We also investigated pairwise associations between events and we not found significant correlations (Figure 1). Cox-proportional hazard model only showed a negative impact in survival of patients with TP53 mutations. This ultra-deep targeted sequencing strategy is able to detect mutations in most of patients, at very low allele frequency and using a minimal amount of DNA. Despite of its huge capacity to detect mutations, we have not identified new prognostic factors in MM patients treated with highly efficient therapies. However, this study again confirms the complexity of the genomic landscape of MM and the great heterogeneity between patients. The role of theses mutations at relapse as well as in the subsequent treatment effectiveness remains unknown and should be preferably investigated in larger cohorts of homogeneously treated MM patients. Figure 1 Figure 1. Disclosures Martínez-López: Novartis: Honoraria, Speakers Bureau. Oriol:Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees. Stewart:celgene: Consultancy.

Abstract Abstract 1875 Recent experimental evidence suggests that acute myeloid leukemia (AML) originates from hematopoietic stem and progenitor cells (HSPC) following the acquisition of multiple genetic or epigenetic changes that initially give rise to pre-leukemic HSPC (pre-LSC) and then to fully transformed leukemia stem cells (LSC). Relapse continues to be the major cause of death in most subtypes of AML, suggesting that current therapies are largely ineffective in eliminating LSC and pre-LSC. Cellular heterogeneity and the recent observation that LSC are contained within different phenotypic cellular compartments are challenges for the identification of pathways contributing to the initiation and maintenance of AML. To address these challenges we employed a novel strategy of parallel transcriptional analysis of multiple phenotypic HSPC populations from individuals with AML with normal karyotype (N=5), -7/7q- (N=6) and complex karyotype (N=5), including long-term HSC, short-term HSC, and granulocyte-monocyte progenitors (GMP), and comparison to corresponding cell populations from age-matched healthy controls (HC) (N=6). Specifically, we sorted Lin−/CD34+/CD38−/CD90+ (LT-HSC), Lin−/CD34+/CD38−/CD90− (ST-HSC), and Lin−/CD34+/CD38+/CD123+/CD45RA+ (GMP), and hybridized RNA to Affymetrix GeneST 1.0 expression arrays. Differential gene expression was determined within each compartment by direct comparison of AML LT-HSC vs. HC LT-HSC, AML ST-HSC vs. HC ST-HSC, and AML GMP vs. HC GMP. Subsequent intersection of all differentially expressed genes revealed that only a relatively small number of 6 to 11 genes were consistently dysregulated in all examined leukemic stem and progenitor cell compartments. Interleukin 1 receptor accessory protein (IL1RAP) was one of the most significantly upregulated genes in LT-HSC, ST-HSC, and GMP in all examined subtypes of AML. IL1RAP is a transmembrane protein required for signaling through several receptors of the IL1 family, including IL-1R1 and ST2. We detected significant overexpression of IL1RAP protein on HSC and progenitor cells of AML patients. Interestingly, CD34+/Lin+ precursor cells showed only a marginal increase of IL1RAP at the protein level in AML, underscoring the importance of purifying HSPC with stringent lineage depletion. We performed fluorescence in situ hybridization in sorted IL1RAP+ and IL1RAP− cells from -7 AML. We observed that the -7 clone was restricted to IL1RAP+ cells, while IL1RAP- cells did not display monosomy 7, demonstrating that IL1RAP overexpression is a distinguishing feature of the cells of the -7 clone. Patients with normal karyotype AML showed a wider range of IL1RAP expression levels; some were as high as in -7 AML and others were as low as in HC. We asked whether IL1RAP expression levels were associated with known clinical or molecular parameters. We analyzed two published datasets of patients with normal karyotype AML (Metzeler, Blood. 2008;112:4193–4201; Tomasson, Blood. 2008;111:4797–4808). Patients with high IL1RAP levels showed inferior overall survival than patients with lower IL1RAP (p=2.2×10−7; median survival: 7.82 mo. for IL1RAP high, 20 mo. for IL1RAP low). Multivariate analysis using a Cox regression model showed that high IL1RAP status was an independent prognostic factor (p=0.002), and even stronger than FLT3 mutation status (p=0.006). In addition, we analyzed data from 183 patients with MDS and found IL1RAP expression to be specifically elevated in cases with RAEB-2, suggesting a role of IL1RAP in MDS and in the progression to AML. Downregulation of IL1RAP protein expression in 4 AML cell lines (THP1, OCI-AML3, HL60, HEL) led to a significant 45–98% decrease in clonogenic growth and increased apoptosis in vitro. To assess the effects of IL1RAP downregulation in vivo, we performed xenotransplants into immunodeficient NOD/SCID/IL2Rg-null mice. THP-1 AML cells showed a 92% reduced proliferation and infiltration of hematopoietic organs upon IL1RAP knockdown in comparison to a non-silencing control in vivo. Genetic studies to assess the role of IL1RAP in the initiation and maintenance of AML in an IL1RAP−/− mouse model are currently ongoing. In summary, our study provides a map of consistently dysregulated transcripts across multiple fractionated stem and progenitor cell types from patients with AML, and identifies IL1RAP as a putative new therapeutic and prognostic target in stem cells in AML and MDS. Disclosures: No relevant conflicts of interest to declare.