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Abstract Abstract 3231 Poster Board III-168 Background Peripheral blood stem cells (PBSC) are the preferred graft type for autologous stem cell transplantation (ASCT) and mobilization is typically done using growth factor (GF) alone or a combination of chemotherapy (CTX) and GF. The success of mobilization is influenced by several factors such as prior therapy and mobilization strategy. Patients (Pts) failing to mobilize successfully often have GF dose increased and if unsuccessful, mobilization reattempted with chemotherapy + GF or G-CSF (Granulocyte Colony-Stimulating Factor) + GM-CSF (Granulocyte-Macrophage Colony-Stimulating Factor). More recently, plerixafor, a CXCR4 inhibitor, has been found to enhance G-CSF based collection allowing potential early intervention in poor mobilizers. However, this approach requires valid cut-points for peripheral CD34 counts (pCD34) for cost efficient use. Methods We studied 910 first time, G-CSF based PBSC mobilizers with MM (565; 62%), or light chain amyloidosis (345; 38%). Salvage attempts were excluded, as were first attempts using CTX+GCSF, plerixafor or GF combinations. Sensitivity-specificity analysis (ROC) was used to define ideal cut-points for predefined outcomes. We used a CD34 yield of 2 million/kg as the minimum required collection and 4 million/kg as the ideal collection for this analysis. Our current practice is to initiate collection at a pCD34 of 10/uL. Results We first determined the best day 1 pCD34 cutoff for being able to collect at least 2 million/kg PBSC to be 9.2/uL. Among those with ≥9.2/uL, only 1.6% failed to collect at least 2 million compared to 27% among the rest (P < 0.001). These numbers were 1.7% and 25% respectively using the traditional cutoff of 10/uL. We then examined how the pCD34 on day 2 predicted collection, among those failing to reach the current threshold of 10/uL. Among this group, a pCD34 on day 2 of 8/uL was the best cutoff to predict a collection of 2 million/kg. Among those with >8/uL, only 9% failed to collect at least 2 million compared to 48% among the rest (P < 0.001). Among those with day 1 pCD34 < 10, 65% achieved a count of 8/uL on day 2. We then examined what pCD34 on day 1 can best predict a pCD34 ≥ 8 on day 2 and found this to be 5/uL. Among those with day 1 pCD34 ≥ 5/uL, 92% reached day 2 pCD34 ≥ 8 compared to 36% among the rest (P < 0.001).We then determined cutoffs based on ideal targets using only those patients achieving pCD34 count > 10/uL by day 2, since these patients would have started collection without any change in the mobilization technique. We used a maximum of 5 collections to achieve the goal as being ideal, taking into account the most commonly used practice of collecting during weekdays. We examined cutoffs both for a target of 4, 8 and 12 million/kg for one, two or three transplants respectively. Among those with a day 1 or day 2 pCD34 > 10/uL 98% collected 4 million/kg in 5 collections. The best day 1 or day 2 pCD34 predicting a 8 million/kg yield in 5 collections was 21.4/uL and a 12 million/kg yield was 27.9/uL. Among those with day 1or 2 pCD34 ≥ 21.4/uL, 90% collected 8 million compared to 54% among those with pCD34 < 21.4/uL. Similarly, among those with day 1 or 2 pCD34 ≥ 27.9/uL, 79% reached 12 million in ≤ 5 days compared to 17% among those with pCD34 < 27.9/uL (P < 0.001).Finally we examined if poor collection on first day, despite a pCD34 > 10 predicts for poor overall yield. A ratio of day 1 collection (million/kg) to pCD34 day 1 or 2 < 5×104 was highly predictive of failure to get eventual yield of 2 million/kg, with 38% below the cutoff failing to reach the goal compared to 2% for those above the cutoff. Conclusions This study provides an estimate of optimal pCD34 count thresholds for early identification of patients at high risk of collection failure. It is reasonable to use the first or second day pCD34 count, since a substantial proportion of patients will achieve the threshold value by day 2 and have similar outcome as those reaching the threshold by day 1. Based on the results here, interventions such as plerixafor can be considered if pCD34 count is < 5/uL on day 1 or < 9/uL by day 2, to achieve the minimum collection of 2 million/kg. However, in order to achieve the ideal targets, a higher threshold should be considered and the recommendation would be 17/uL, and 28/uL for target of 8 or 12 million respectively. Finally, identification of poor mobilizers after start of collection potentially provides another time point for early intervention, and this needs to be prospectively studied. Disclosures Micallef: Genzyme: Research Funding. Gertz:Genzyme: Research Funding. Kumar:Celgene,Genzyme,Millenium,Novartis,Bayer,: Honoraria, Research Funding.

Abstract Abstract 3211 Poster Board III-148 Although autologous stem cell transplantation (ASCT) has become standard of care for many patients with hematologic malignancies, many patients fail to collect a minimum number of CD34 + stem cells to support high dose chemotherapy and ASCT. Recently, plerixafor, a CXCR4 antagonist, was FDA approved for use in combination with G-CSF for autologous peripheral blood stem cell mobilization in patients with NHL or Multiple Myeloma. In February 2009, we commenced a risk adapted approach to the utilization of plerixafor. The study was restricted to patients mobilized with GCSF alone and patients undergoing chemotherapy primed PBSC mobilization were excluded. Peripheral blood stem cell mobilization was commenced with G-CSF at 10 mcg/kg/day. On day 4, a peripheral blood (PB) CD34 count was measured. For patients whose PB CD34 was ≥10/μL, apheresis was commenced the following morning. For patients whose PB CD34 was <10/μL, it was measured again on day 5; if ≥10/μL then apheresis was commenced the following morning. If PB CD34 was <10/μL on day 5, plerixafor (0.24 mg/kg sc) was administered on the evening of day 5 and apheresis was commenced the following day (Group A). In addition, during apheresis, for patients whose collection yield was < 0.5 × 106 CD34/kg, in the absence of instrument failure or problems with the collection procedure, plerixafor was added (Group B). Morning administration of G-CSF and evening dosing of plerixafor continued daily until apheresis was complete. From February to July 2009, 174 mobilization attempts occurred; 27 with chemotherapy and 147 with cytokines alone. The 147 pts who underwent mobilization with cytokines alone are presented here. The underlying diagnosis was as follows: Myeloma 61 pts, NHL 54 pts, Amyloid 17 pts, Hodgkin 10 pts, POEMS 4 pts and 1 pt with a solid tumor. For the entire group the median number of CD34 cells collected was 5.5 × 106 CD34/kg (range 0.1-17). The median number of apheresis was 3 (range 1-12). 67 patients (46%) received plerixafor; 37 patients started plerixafor during mobilization (Group A) and 30 patients during collections due to a poor yield (Group B). 12 pts of the 37 received plerixafor on day 4 because of prior mobilization failure or high risk of mobilization failure and are included in Group A. Table 1 outlines the details of mobilization and collection by groups. By disease category, of the 61 patients with MM, 28 (46%) received plerixafor (8 Group A and 20 Group B). Median apheresis in all the MM pts was 2 (range 1-12) with a total of 6.8 × 106 CD34/kg (2.2-16.7). In the 54 NHL pts, 32 (59%) received plerixafor (24 Group A and 8 Group B). Median apheresis for all pts with NHL was 3 (range 1-7) with a total of 4.6 × 106 CD34/kg (range 0-11.4). Overall, only 7 of 147 (5%) mobilization attempts failed to achieve a minimum of 2 × 106 CD34/kg. This compares to a 22% failure rate prior to institution of this risk adapted approach. In conclusion, implementing this risk adapted approach allows poor mobilizers to be identified promptly and for plerixafor to be initiated during mobilization and collection, thereby reducing the number of mobilization failures. In patients who predictably would not have successful collection based on a PB CD34 <10/μL, addition of plerixafor results in a majority of patients achieving an adequate collection. This risk adapted approach may be more cost effective than reattempting mobilization after a prior failure or utilizing combination G-CSF and plerixafor for upfront mobilization. Table 1. Mobilization and Collection data. All patients N=147 Group A1 N=37 Group B2 N=30 No Plerixafor N=80 PB CD34 day 4 Median 11 0 7 19 Range 0-331 0-7 0-32 0-331 PB CD34 day 5 Median 10 4.5 12 15 Range 0-51 2-9 11-23 9-51 Apheresis Yield Median 5.5 4.4 6.0 6.2 Range 0.1-17 3.1-12.7 3.0-12.2 2-17 Number of Apheresis Median 3 3 5 2 Range 1-12 1-7 4-12 1-8 Days of Plerixafor Median n/a 3 2 n/a Rang 1-7 1-8 1 Group A – Plerixafor initiated prior to apheresis 2 Group B – Plerixafor initiated during apheresis Disclosures No relevant conflicts of interest to declare.

Abstract Background: Peripheral T-cell non-Hodgkin’s lymphomas (PTCL) account for approximately 10% of all non-Hodgkin’s lymphomas in the U.S. and Europe. PTCL, unspecified (PTCL-U), as classified by the WHO, is the most common subtype. The ability of high-dose therapy (HDT) and stem cell transplantation (SCT) to improve patient outcome was evaluated in the current study. Methods: All patients with PTCL-U evaluated at our institution who had tissue specimens available for review from January, 1994 to December, 2005 were identified and both clinical characteristics and treatment course obtained from the medical record. Results: 89 patients with PTCL-U were identified, with a median follow up of 13 months (range 1 month–12 years). The median age at diagnosis was 56 years (range 24–90). The IPI was low, intermediate or high in 34%, 44% and 22% of patients, respectively. On univariate analysis, age >60 (p<.0001), ECOG performance status >1 (p<.0001), LDH greater than normal (p=.004), Ann Arbor Stage III/IV (p=.01) and the presence of B symptoms (p=.0004) were associated with a poorer overall survival, as was an intermediate or high IPI (p<.0001). In contrast, on multivariate analysis only age >60 (p=.0006) and ECOG performance status >1 (p=.007) were independently associated with poorer overall survival. Fifty-seven percent of patients were treated initially with an anthracycline-based regimen, most commonly CHOP (53%). Patients with a low (0–1), intermediate (2–3) or high (4–5) IPI experienced a 61%, 29% and 18% 5-year overall survival, respectively. Fourteen patients (16%) received HDT and autologous (n=12) or allogeneic (n=2) SCT, either at the time of a first partial or complete response (n=11) or at the time of first relapse (n=3). The median survival in those patients treated initially with an anthracycline-based regimen alone was 11 months (95% CI 0.6–1.6 years). Improvement in both 5-year overall (75% vs 24%, HR=5.6, 95% CI 2.0–23.4, p=.0004) and disease-free (60% vs 26%, HR=3.2, 95% CI 1.3–9.3, p=.008) survival was observed in patients who received HDT/SCT, as compared to patients treated with anthracycline-based therapy alone. Furthermore, improvement in both 5-year overall (80% vs 26%, HR=5.8, 95% CI 1.7–35.7, p=.002) and disease free (72% vs 26%, HR=3.8, 95% CI 1.3–15.8, p=.009) survival was observed in patients who received HDT/SCT at the time of a first partial or complete response when compared to patients who received anthracycline-based therapy. When patients who failed to achieve a first partial or complete response were excluded from the analysis, improved 5-year overall (80% vs 57%, HR=0.5, 95% CI 0.1–2.1, p=.4) and disease-free (72% vs 53%, HR=0.7, 95% CI 0.1–2.3, p=.5) survival were observed in patients who received upfront HDT/SCT, although this failed to reach statistical significance. The improved overall and disease free survival observed in patients receiving HDT/SCT, either at the time of a first response or at the time of relapse, remained significant when accounting for differences in the IPI. In conclusion, selected patients with PTCL-U may benefit from treatment with HDT/SCT following a first response to conventional anthracycline-based chemotherapy.

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: The prognosis of patients with T-cell large granular lymphocyte (LGL) leukemia is diverse, with some patients experiencing rapid progression of the disease while others surviving decades. Despite multiple case reports and a number of case series reported in literature, prognostic factors in this leukemia are unknown and no staging/prognostic system has been developed. Aim: To identify factors predicting the prognosis of patients with newly diagnosed T-cell LGL leukemia. Methods: We reviewed the presentation, laboratory data and the clinical course of patients with newly diagnosed T-cell LGL at seen at the Mayo Clinic, Rochester. T-cell LGL was diagnosed in patients with at least 2 of these criteria: morphological evidence of LGL leukemia on bone marrow biopsy or blood smear; LGL immunophenotype; evidence of clonal T-cell receptor gene rearrangements. Results: 286 patients seen at Mayo Clinic Rochester between 6/1986 and 5/2005 met diagnostic criteria (52% male, median age at presentation 64 years (range 27–88)). Lymphadenopathy, splenomegaly, and hepatomegaly were present in 9%, 4% and 1.5% of the patients respectively. Median hemoglobin was 11.7 g/dL (range 3.5 – 17.1). Median absolute neutrophil count (ANC) was 1.51 × 109/L (range 0.0 – 20 × 109/L) and median absolute lymphocyte count (ALC) was 2.2 × 109/L (range 0.1 – 24). Median LGL count on peripheral smear was 0.81 × 109/L (range 0.06–10.8 × 109/L). Cytogenetic studies were done for 122 patients, of which, only 9 were abnormal. 87 patients (29%) had associated autoimmune conditions: rheumatoid arthritis (n=29), Felty’s syndrome (n=11), other connective tissue disorders (n=9)). Pure red cell aplasia, aplastic anemia, idiopathic thrombocytopenic purpura and autoimmune hemolytic anemia were seen in 17, 5, 8, 1 patients respectively. Median follow up was 50 months (range 1–229) and estimated median survival was 74.3 months. In multivariate analysis, the only independent risk factors were: anemia (hemoglobin<12 g/dl), hazard ratio (HR) 1.75, (95%CI 1.22–2.52, p= 0.0023), severe neutropenia (<0.1 × 109/L), HR 2.11 (95%CI 1.053–4.25) and lymphopenia (ALC< 1 × 109/L), HR 1.93 (95%CI 1.21–3.07). We developed a simple prognostic scoring system based on the above identified independent risk factors, stratifying patients in 3 groups: 0 - no risk factors present, 1 -one risk factor, 2 - two or more risk factors present. The median survival was 105, 55 and 5 months for score of 0, 1 and 2 respectively, p=0.004 (Figure). Conclusion: The prognosis of patients with newly diagnosed T-cell LGL is variable. The presence of anemia, severe neutropenia and lymphopenia are independent poor prognostic factors in T-cell LGL. Combining these factors allows the identification of patients at a high risk of death from the disease. Further studies are needed to prospectively validate these findings and establish if the high risk group would benefit from aggressive therapy. Figure Figure.

Abstract Abstract 1222 Poster Board I-244 Background Survival for patients with primary CNS lymphoma (PCNSL), in general, is poor with patients requiring frequent chemotherapy treatments or receiving whole-brain radiation therapy, which can potentially result in significant neurologic decline and dementia. Because of the improved survival of high risk patients with aggressive lymphoma undergoing autologous stem cell transplant (ASCT), we began ASCT for patients with PCNSL in first or later remission with chemotherapy sensitive disease. We now update on outcomes of patients who have had at least 100 day follow up post ASCT. Baseline characteristics Between June, 2000 and January, 2009, 22 patients underwent ASCT for PCNSL. Median age at transplant was 50 years old (range 26-67). Median number of prior treatments 1 (range 1-3). Median time from diagnosis to transplant was 7.2 months (range 2.9 to 75.8). Median International Extranodal Working Study Group Prognostic Score: 2 (range 0-3). Disease status at transplant: First CR 10 patients, later CR or PR 12 patients. Results Twenty-two patients underwent ASCT for PCNSL and have a minimum of 100 days follow-up. All patients received BEAM conditioning. Median follow up post-transplant was 30 months (range 3-107 months). Eight patients have relapsed at a median of 217 days (range 40-1349). Of the patients who relapsed, four have died of disease progression and the remaining four are alive after additional therapy. Median overall survival from diagnosis or transplant has not been reached. Median progression free survival from transplant was 70 months. Conclusions Although limited by patient selection and retrospective biases, this review suggests that ASCT for PCNSL demonstrates improved overall survival when compared to historical controls with similar PCNSL Prognostic Scores (2 year survival for patients from diagnosis with PS 2-3 was 48% in a prior published study). ASCT in first remission in patients with PCNSL appears promising and may limit the need for additional therapy which can be myelosuppressive or result in neurologic decline secondary to radiation therapy in patients who are appropriate candidates. Disclosures No relevant conflicts of interest to declare.

Abstract Background: Atacicept (TACI-Ig) is a recombinant fusion protein that inhibits BLyS (B lymphocyte stimulator) and APRIL (a proliferation-inducing ligand), cytokines that are involved in B-cell homeostasis and immunoglobulin (Ig) expression and are overexpressed in B-cell malignancies. In vitro, atacicept decreases the survival of lymphoma cells and in vivo, atacicept decreases serum immunoglobulin levels. Based on its effects on B cells, atacicept may offer a novel treatment for B-cell malignancies. Methods: A Phase 1, open-label, dose-escalation study of atacicept in patients with relapsed or refractory B-cell lymphoma was performed. Atacicept was administered subcutaneously for 5 weeks in single weekly doses of 2, 4, 7, or 10 mg/kg to sequential patient cohorts. After 8 weeks, patients with responding or stable disease were eligible for treatment on an extension study at the dose previously received for up to 24 weeks or until disease progression. The primary study objective was evaluation of overall safety and the maximum tolerated dose. Pharmacokinetics and biomarkers were also investigated. Results: As of July 2006, 15 patients with relapsed and refractory diffuse large B-cell lymphoma (7), follicular lymphoma (4), small lymphocytic lymphoma/chronic lymphocytic leukemia (2), and mantle-cell lymphoma (2) received 2, 4, or 7 mg/kg atacicept (4 patients per dose cohort) or 10 mg/kg atacicept (3 patients). All patients were heavily pretreated (median number of previous treatments was 5, range 1–10) and 4 patients had previously received a stem cell transplant. All patients completed study treatment (5 doses), except 2 who withdrew due to disease progression after receiving 2 and 4 doses. Atacicept was well tolerated at all doses. The most common adverse events (AEs) that occurred in ≥20% of patients were fatigue (47%) and injection site bruising (20%). Three AEs with ≥ grade 3 severity were reported for 1 patient including pain in jaw, gastrointestinal hemorrhage, and sepsis; all were considered unrelated to atacicept. Four SAEs considered unrelated to atacicept were reported for 2 patients who withdrew due to disease progression. Pharmacokinetic results were nonlinear and consistent with observations in other indications. Five weekly doses produced low to moderate accumulation of free total atacicept and atacicept/BLyS complex in serum. IgA, IgG, and IgM concentrations decreased in a dose-related pattern with a mean decrease of 15–40% from baseline after 4 weeks of atacicept. Peripheral B-cell numbers were variable and were difficult to evaluate due to low B-cell values at baseline in the majority of patients. At the 8-week evaluation, no objective responses were observed. Two patients had stable disease (1 with mantle cell lymphoma and 1 with follicular lymphoma) at 8 weeks, entered the extension study, and received additional doses of atacicept with no safety or tolerability concerns. Both patients however later discontinued treatment due to disease progression. Conclusion: Atacicept at doses of up to 10 mg/kg was well tolerated and demonstrated biological activity by decreasing Ig concentrations in this heavily pretreated cohort of patients with refractory B-cell lymphoma, although tumor responses were not observed.

Abstract The peripheral blood absolute lymphocyte count (ALC) on day 15 after autologous stem cell transplantation (ASCT) has been shown to be an independent predictor for overall survival (OS) for many malignancies including acute myelogenous leukemia (AML), breast cancer, multiple myeloma (MM), primary systemic amyloidosis, and Hodgkin’s and non-Hodgkin’s lymphoma (NHL). However, due to the retrospective nature of previous studies, the peripheral blood lymphocyte subpopulations that predict survival are unknown. To prospectively correlate peripheral blood lymphocyte subpopulations after ASCT and progression free survival, peripheral blood lymphocytes collected from patients before and on day 15 after ASCT were analyzed by four color flow cytometry for CD3, CD4, CD8, CD16, CD 19, and CD56. Patients were then dichotomized into two groups: patients achieving normal numbers of lymphocyte subset (i.e. CD4, CD8, CD19, CD16/56) count versus those who did not. Progression free survival was then analyzed by the Kaplan-Mier method. In our cohort of 14 patients, 9 were male and 5 were female. Nine patients were diagnosed with diffuse large cell B cell lymphoma, two with mantle cell, two with follicular, and one with peripheral T cell lymphoma. On presentation, one patient had stage I, four patients had stage II, four had stage III, and five patients had stage IV disease. The median age at ASCT was 53 years (range: 26–70). The preliminary data from this ongoing prospective study of 14 patients shows that on day 15 after ASCT, 4/14 (29%) of patients achieved a normal CD3 count (median 321, range: 69–2069 cells/ml) 3/14 (21%) achieved a normal CD4 count (median 206, range: 31–1091 cells/ml), 6/14 (43%) achieved a normal CD 8 count (median 88.5, range: 13–813 cells/ml) 1/14 (7%) achieved a normal CD19 count (median 2, range:0–227 cells/ml), and 8/14 (57%) achieved a normal CD16/56 count (median 85.5, range: 10–744 cells/ml). The median follow-up was 12 months (range: 3–45 months). On univariate analysis, patients achieving an absolute NK cell count of ≥ 80 cells/μ on day 15 had significantly improved progression free survival compared to those who did not (not reached vs 3 months, p<0.006, respectively). Similar analysis evaluating the absolute CD3, CD4, CD8, and CD 19 count was not significant (p=0.1, p=0.258, p= 0.06, and p=0.55, respectively). To our knowledge, this is the first report detailing the critical role of NK cell immune reconstitution after ASCT in progression free survival. Figure Figure

Abstract Background. The AML is a heterogeneous disease with a high variety of subtypes stratified by cytogenetic and molecular markers. To date, the major prognosis criteria is cytogenetic, but 40-50% of de novo AML patients have normal karyotype; AML treatment is based on risk profiles depending on age and genetic molecular factor. New methods such as Next Generation Sequencing (NGS) and ex vivo sensitivity drug tests might be able to improve this classification and to individualize the treatment for AML patients. Aims. We performed targeted massively parallel sequencing on a 32 myeloid genes custom panel to identify a mutational profile of AML which predicts ex vivo pharmacological and clinical response. Methods. We analyzed bone marrow (BM) samples at diagnosis from 39 AML patients, 34 were treated with chemotherapy; 28 AML patients received one cycle of Idarubicin (Ida)/ Cytarabine(Cyt) induction treatment (3+7) and 8 received one cycle of Fludarabine/Cyt. Median age at diagnosis was 53 years (24-81), male:female ratio 19:16. We carried out targeted gene sequencing by NGS (Ion Torrent Proton System-Life Technologies) using a 32 genes custom panel (all coding regions) implicated in leukemia prognosis, including ASXL1, CBL, DNMT3A, EPOR, ETV6, EZH2, FLT3, HRAS, IDH1, IDH2, JAK2, KDM6A, KIT, KRAS, LNK, MLL, MPL, NRAS, PHF6, PRPF40B, PTEN, RUNX1, SF1, SF3A1, SF3B1, SRSF2, TET2, TP53, U2AF35, VHL, ZRSR2 and CALR. Ex vivo pharmacological studies were performed using an innovative automated flow cytometry method based platform (Ex-viTech) is able to evaluate effect of drugs used to treat AML, Cyt and Ida, using 4 parameter: Emax (Effective Maximum Response) measures potency, EC50 (Effective Concentration inducing 50% cell death) measures efficacy, and the activity was quantified by AUC (Area Under Curve) and VUS (Volume Under Superficies). Clinical response was evaluated after induction treat. Complete remission was defined according to hematologic recovery and blast count fewer than 5%. Analysis of NGS results was performed by Ion Report software. Differences measured by Exvitech were determined using t-test or Kruskal-Wallis test. Discrete variables of patients with and without gene variants were compared using the X2 test. For survival analysis we used Kaplan-Meier analysis (log rank) using SPSS 15. Two sided p values below 0.05 were considered statistically significant. Results. We found 94 non-synonymous variants (SNVs and small Indels) in coding regions. On average, 90.8% of the target sequence showed mean depth coverage ~ 1100x. See Figure 1. We analyzed results of pharmacological test by Ex-viTech plataform in function of presence of gene variants. Only significant favorable differences were detected: KRAS (Cyt-Emax p=0,000, Ida-EC50 p=0.001, VUS p=0.003, Cyt-AUC p=0.036, Ida-AUC p=0.000), KIT (VUS p=0,010) and FLT3-TKD (Cyt-Emax p=0.002, Cyt-AUC p=0.001, VUS p=0.011). Mutational positive score, found it in 40% of patients, was defined by the presence of variants in KRAS, KIT and/or FLT3-TKD; it was correlated with pharmacological results and clinical response. All cases with positive score (n=13) achieve complete remission (CR); only 11 cases without favorable score (n=21) achieve RC (p=0.003) after induction treatment (See Table 2). In addition, response obtained for Ida Emax and Ida EC50 by Ex-viTech was able to detect patients who reached CR after induction treatment (p=0.042, p=0,039 respectively). Ex-viTech results showed that patients with positive score have a significantly more potent and effective cytotoxic effect than patients without it. See table 2. No differences were observed respect Overall Survival (OS) between cases with mutational favorable score and without it. However, we observed a plateau in OS with favorable mutational score. With a median follow-up of 5.9 months (1.9-25.74), patients having positive score showed better relapse free survival (p = 0.013). See Figure 3. Conclusion. Very deep sequencing NGS identifies a mutational profile score (KRAS, KIT or FLT3-TKD) in AML patients, which predicts ex vivo pharmacological and clinical response. This favorable score was found in 40% of AML patients. Merging NGS and ex vivo drug sensibility might be able early to predict response to induction and individualize treatments. This study was funded by Instituto Carlos III (PI13/02387). Disclosures Ballesteros: Vivia Biotech: Employment.

Abstract Background: Absolute lymphocyte count (ALC) recovery is an independent prognostic factor for survival for different hematological malignancies treated with autologous stem cell transplantation. Recently, we reported superior overall survival (OS) in patients with follicular lymphomas that presented with a higher ALC (ALC ≥ 1 x 109/L) at diagnosis. The role of ALC at diagnosis on survival in T cell lymphomas is not known. Methods: All patients evaluated at the Mayo Clinic for T cell lymphomas from October 1984 until April 2005 were analyzed in the study. The primary objective of the study was to assess the role of ALC at diagnosis and survival in T cell lymphomas. ALC at diagnosis was obtained from the standard complete blood cell count (CBC). Results: 223 patients with T cell lymphomas were included in the study. The histology included: peripheral T-cell lymphoma-unspecified (40%), anaplastic large cell (13%), angioimmunoblastic (10%), angiocentric (4%), intestinal T-cell (2%), and other (31%). The median follow-up was 18.6 months (range: 1 month – 229 months [19 years]). The sample population included 60% male and 40% females with a median age of 60 years (15–90 years). The median ALC at diagnosis was 1.2 x 109/L (range: 0.04–6.7 x 109/L). ALC as a continuous variable was identified as predictor for OS in the univariate analysis (HR= 0.690, 95%CI: 0.542–0.862, p < 0.0006). ALC ≥ 1 x 109/L was selected as the dichotomized value because it yielded the maximum difference in survival by c2 analysis looking at different cut-point from 0.6 to 1.7 x 109/L that were included between the 25% and 75% quartiles. Univariately, ALC ≥ 1 x 109/L was also identified as a predictor for OS (HR = 0.682, 95%CL= 0.578–0.804, p < 0.0001). Patients (N = 122) with an ALC ≥ 1 x 109/L experienced superior survival compared to patients (N = 101) with an ALC < 1 x 109/L [median OS: 76.3 vs 10.6 months, respectively; and 5 years OS estimates of 53% vs 23%, respectively, p < 0.0001]. When ALC ≥ 1 x 109/L was compared to the international prognostic index (IPI), ALC ≥ 1 x 109/L remained an independent predictor for survival in the multivariate analysis (HR = 0.779, 95%CL: 0.655–0.925, p < 0.004). Conclusion: This study demonstrates ALC as an independent predictor for OS in T cell lymphomas, suggesting that the host immune system affects survival in this group of patients.