Doǧan, Ahmet

Abstract Abstract 1604 Background EBV (+) DLBCL of the elderly is a lymphoproliferative disorder recently included as a provisional entity in the 2008 WHO classification of lymphoid tumors. Defined as EBV (+) DLBCL in patients over the age of 50 years without known immunosuppression, information is evolving in this entity. To date, the true incidence of EBV (+) DLBCL in adults remains imprecisely determined and may vary regionally. This study sought to determine the incidence, presenting clinical characteristics, and outcome of EBV (+) in an unselected cohort of DLBCL patients enrolled in a prospective observational study. Methods The University of Iowa/Mayo Clinic SPORE Molecular Epidemiology Resource (MER) is a prospective, longitudinal observational study designed to collect information on patterns of care and outcomes for patients with newly diagnosed lymphoma. Patients seen at the Mayo Clinic, Rochester MN and the University of Iowa within 9 months of their initial diagnosis of lymphoma are offered enrollment. HIV (+) patients are excluded. Baseline patient reported data, clinical data and initial management are collected using a standard protocol and a central pathology review is performed. After enrollment, patients are actively followed for events (disease progression, retreatment, and death) and disease related comorbidities. Tissue Micro Arrays (TMA) are constructed on available primary biopsy specimens. Epstein Barr Encoded RNA (EBER) EBV testing was performed by in-situ hybridization, and scored by an expert hematopathologist. EBER reactivity in more than 30% of malignant cells were required for EBV(+) designation. All DLBCL patients from the MER with available TMA excluding primary mediastinal DLBCL and post transplant lymphoproliferative disorders (PTLD) are included in the current analysis. Event free survival (EFS) was defined as time from diagnosis until recurrence, retreatment, or death due to any cause. Results 184 newly diagnosed DLBCL patients with available TMAs were enrolled in the MER from 2002–2009. The median age at enrollment was 62 (range 18–89) and 57% were male. 89.7% were treated with immunochemotherapy. At a median follow-up of 66 months (range 1–116), 80 patients (43%) had an event which included 59(32%) deaths. TMA testing was positive for EBV in 13 (7 %) samples with an even distribution among age groups. There was a trend toward higher percentage of stage III/IV disease (85 vs 57%, p = 0.052), and BM involvement (46 vs 16%). EBV (+) was not associated with other extranodal disease or further identifiable differences in presenting clinical characteristics. Controlling for IPI, the hazard ratio for EFS among EBV+ in DLBCL pts over 50 was 0.41 (95% CI = 0.13–1.32) p = 0.14. EFS and OS curves for pts over 50 are shown below. There were no events or deaths in the 4 EBV+ pts under age 50. Conclusions EBV+ DLBCL represents a small proportion of DLBCL patients presenting for care to our academic medical centers, consistent with reports from other regions. Substantial unique clinical characteristics at presentation for those pts with EBV+ disease were not identified, and outcomes were no worse than EBV (−) counterparts. Given the apparent regional differences in reports of EBV(+) DLBCL of the elderly, future clinical series will need to establish a more precise definition or determine more distinctive features to justify adoption of EBV(+) DLBCL of the elderly as a full entity in the WHO classification. Disclosures: No relevant conflicts of interest to declare.

Abstract Abstract 1545 Introduction: The diagnosis of peripheral T-cell lymphoma (PTCL) is difficult and accurate diagnosis and subclassification relies on correlating histologic, immunophenotypic, molecular genetic, and clinical data. Evidence-based guidelines for the appropriate diagnostic work-up of PTCL are lacking. The objective of this study was to evaluate a large series of PTCLs by experienced hematopathologists with a tiered approach to immunohistochemistry (IHC) and molecular genetic characterization to document overall diagnostic accuracy and clinical relevance using this approach. Methods: 7 experienced hematopathologists from 5 institutions reviewed 374 cases of peripheral T and NK cell lymphomas (referred to collectively as PTCL). 6 cases of cutaneous T-cell lymphoma were excluded after final review in addition to 29 non-PTCL cases submitted as control cases to mimic diagnostic practice during the review. Cases received tier 0, 1 and 2 diagnoses by 3 independent pathologists, based on review of hematoxylin and eosin (HE) stain with basic demographic data, panel 1 IHC (CD3, CD5, CD10, CD20, CD21, CD30, CD45, PAX5), and panel 2 IHC (CD2, CD4, CD7, CD8, CD23, PD1, CD56, EBER, ALK, TIA1, TCRg, TCRbF1), respectively. A tier 2b diagnosis was then rendered after gene rearrangement data were available. A final consensus diagnosis was rendered after discussion of each case by the 3 reviewers with all available clinical data. Overall survival (OS) was assessed using Kaplan-Meier (KM) curves and Cox proportional hazards models. Results: 1122 individual diagnoses leading to 339 final consensus PTCL diagnoses were rendered. 341 (91%) cases had complete phenotypic data and 241 had gene rearrangement data. There was no bias of missing data according to final diagnosis subtype. Reviewer diagnoses using specific WHO subclassification were 16.3%, 36.9%, 82.7%, and 85.9% for tier 0, 1, 2, and 2b, demonstrating a significant increase in diagnostic certainty after a complete IHC panel. Gene rearrangement only contributed to a change in diagnosis in 51/650 (8%) individual reviews. Across all 374 cases, a small number of cases (n=28, 7.5%) showed no agreement among the 3 independent reviewers after tier 2b and required debate. These generally represented refinement of the subclassification of a PTCL. The most common disagreements were between PTCL, not otherwise specified (nos) vs. unclassifiable T-cell lymphoma, and PTCL, nos vs. angioimmunoblastic T-cell lymphoma (AITL). Currently, OS data was available in 198 cases and 52% have died (median age follow-up of 15 months for those still alive, range 0–160 mo). Figure 1 shows the KM survival curves for types with more than 10 cases. Of note, unclassifiable PTCL cases had poor OS, comparable to PTCL nos; a trend was seen for CD30+ ALK- ALCL to have a longer OS compared to PTCL nos (HR=0.5, 95% CI: 0.21–1.19, P=.09). EBER positivity in tumor cells was associated with poor OS in the cohort of all PTCL patients (HR=2.32, 95% CI: 1.28–4.23, p=0.006, Figure 2); the association was similar when nasal NK/T-cell lymphoma cases were excluded (HR=2.50, 95% CI: 1.00–6.26, p=0.05). Trends for poor prognosis were also seen for TIA-1 expression in PTCL, nos (HR=1.9, 95% CI 0.91–3.96, P=.09) and PD1 expression in AITL (HR=6.25, 95% CI 0.85–46.09, P=.07). Clinical data collection is still ongoing and will be updated. Conclusions: We demonstrate the diagnostic accuracy among experienced hematopathologists of a defined IHC panel, showing an overall ability to reach consensus diagnosis of 93% in PTCL cases. The resulting consensus diagnostic subtypes showed expected outcomes relative to other large series of PTCLs, and EBER positivity is a poor prognostic marker among T and NK cell lymphomas. A tiered approach to IHC is recommended when a PTCL is under differential diagnostic consideration since the first tier can often resolve the main question of whether a lesion is reactive or lymphoma. This can lead to more efficient use of the expanded tier 2 panel that will enable diagnosis and specific subclassification of PTCL. Gene rearrangement studies are not required in the great majority of cases. This evidence-based approach to the diagnosis of PTCL should inform practicing pathologists, clinical trial design, and policy makers regarding required ancillary studies in this group of diseases. Disclosures: Hsi: Allos: Research Funding. Said:Allos: Research Funding. Macon:Allos: Research Funding. Rodig:Allos: Research Funding. Gascoyne:Seattle Genetics: Research Funding. Ondrejka:Allos: Research Funding. Dorfman:Allos: Research Funding. Maurer:Allos: Research Funding. Dogan:Allos: Research Funding.

Abstract Abstract 1534 + equal contributions Diffuse large B-cell lymphoma (DLBCL) is a clinically and biologically heterogeneous disease with a high proliferation rate and infrequent somatic mutations of TP53 and genes encoding cell cycle pathway components. Despite recent advances in the molecular understanding of DLBCL pathogenesis, clinical models such as the International Prognostic Index (IPI) are still used to identify high-risk patients. By integrating high-resolution high-density SNP array data with transcriptional profiles and performing pathway analysis in 180 primary DLBCLs, we identified a comprehensive set of copy number alterations (CNAs) that decreased p53 activity and perturbed cell cycle regulation. Primary DLBCLs with single copy loss of 17p13.1 (TP53/RPL26/KDM6B) often had CNAs of an additional p53 modifier – 9p21.3 (CDKN2A/ARF), 19q13.42 (BCL2L12), 12q15 (MDM2) or 1q23.3 (MDM4/RFWD2). CNAs of the respective p53 modifiers, CDKN2A (ARF, 9p21.3), MDM2 (12q15) and MDM4/RFWD2 (1q23.3), occurred in largely separate groups of tumors. DLBCLs with CNAs of p53 pathway members frequently exhibited concurrent alterations of additional cell cycle components such as CCND3 (6p21.32), CDK6 (7q22.1), CDK2/CDK4 (12q15) and/or RB1 (13q14.2) or RBL2 (16q12.2). When the primary DLBCLs were clustered in the space of CNAs that perturb p53 pathway and cell cycle components, 66% of tumors had multiple alterations (“complex” pattern) whereas the remaining 34% of tumors lacked these lesions (“clean” signature). Tumors with “complex” alterations of p53 pathway and cell cycle components also had more total CNAs and more frequent TP53 mutations, highlighting the association between p53 deficiency, cell cycle deregulation and increased genomic instability in DLBCL. The patterns of “complex” vs. “clean” CNAs of p53 pathway and cell cycle components and the association between the “complex” signature and total CNAs were confirmed in an independent series of primary DLBCLs. To further characterize DLBCLs with “complex” vs. “clean” CNA patterns, we performed gene set enrichment analyses with publicly available series of p53 target genes and a RB-deficiency gene set which included multiple E2F targets. The p53 target transcripts were significantly less abundant in “complex” DLBCLs, directly linking their genetic signature of p53 deficiency with decreased p53 activity. Furthermore, the RB-deficiency gene set was significantly enriched in “complex” DLBCLs suggesting that these tumors had increased E2F-mediated cell cycle progression. Consistent with these observations, DLBCLs with “complex” CNA patterns also had significantly higher proliferation indices as determined by Ki67 immunostaining. We next assessed the prognostic significance of the “complex” CNA pattern in the subset of patients who were treated with R-CHOP (rituxan, cyclophosphamide, adriamycin, oncovin, prednisone) and had long-term follow-up. R-CHOP treated patients with “complex” CNA patterns had a 5-year overall survival of only 62%; in contrast, those with “clean” CNA signatures had an 100% overall survival (p =.001). The association between CN complexity and outcome was independent of transcriptionally defined categories and additive to the clinical IPI risk model. Taken together, these data provide a structural basis for deregulated cell cycle, increased cellular proliferation and unfavorable outcome in DLBCL and suggest targeted treatment strategies. Disclosures: No relevant conflicts of interest to declare.

Abstract Abstract 149 Background. There are few established factors that predict risk of follicular lymphoma (FL) transformation, and only two studies have evaluated the role of germline genetic variation and risk of transformation. One study reported an association of a BCL6 SNP (397C>G) with risk of transformation, and a second study reported an association with rs6457327, which is in the HLA region of 6p21. This study evaluated the risk of FL transformation in the modern treatment era with germline SNPs that were previously reported to be associated with FL transformation (BCL6SNPs and rs6457327), along with SNPs (N=45) previously associated with either risk of FL or FL prognosis. Methods. Newly diagnosed FL patients were prospectively enrolled from 2002–2009 into the Molecular Epidemiology Resource of the University of Iowa/Mayo Clinic Lymphoma SPORE. Peripheral blood for genotyping was collected at enrollment, and clinical and treatment data were abstracted from medical records. All patients were actively followed for disease progression, retreatment, transformation and death. For this analysis, only FL patients with grade I-IIIa were included. Patients with composite DLBCL, FL grade IIIb, or other evidence of transformation at diagnosis were excluded. Transformation was based on either 1) biopsy confirmation of FL grade IIIb, DLBCL, or higher grade B-cell lymphoma; or 2) clinical indicators of transformation based on the published literature, including sudden rise in LDH, rapid discordant localized nodal growth, new involvement of unusual extranodal sites, new B-symptoms, or hypercalcemia. Genotyping was conducted using a custom Illumina iSelect panel. Cox regression was used to estimate Hazard Ratios (HRs) and 95% confidence intervals (CI) for individual SNPs with time to transformation, with death modeled as a competing risk. Each SNP was modeled with the most prevalent homozygous genotype used as the reference group, and each SNP was modeled as having a log-additive (per minor allele) effect in the regression model. An ordinal test was used to assess the trend, and p<0.05 was considered statistically significant. Results. There were 631 newly diagnosed grade I-IIIa FL patients, of whom 532 had DNA and were successfully genotyped. The median age at diagnosis was 60 years (range 23–93) and 53% were male. FLIPI distribution was 42% 0–1, 34% 2 and 24% 3–5. Initial therapies included observation (32%), rituximab (R) monotherapy (13%), alkylator-based chemotherapy +/− R (20%), and anthracycline-based chemotherapy +/− R (19%). At a median of 59 months of follow-up (range, 11–110), 58 patients died, 254 had an event (death, progression or retreatment) and 54 patients (10%) transformed. Transformation was biopsy proven in 43 of the 54 patients (80%). The SNP rs6457327 on chromosome 6p that was previously reported to be associated with transformation was positively associated with risk of transformation in our data (HR=1.40; 95%CI 0.97–2.04; p=0.07), although this association was weaker but still consistent with the prior report. Further, we evaluated additional typed SNPs from the HLA region of 6p, and found additional associations (p<0.05) with HLA-DRA (3 SNPs), HLA-DQA2 (2 SNPs), HLA-DOA (2 SNPs) and HLA-DPB1/HLA-DPA2 (2 SNPs), of which rs10484569 from HLA-DPB1/HLA-DPA2 was the most strongly associated with risk of transformation (HR=3.01; 95%CI 1.48–6.09; p=0.002). None of the BCL6 or other previously reported risk SNPs were associated with transformation. Of the SNPs previously associated with FL prognosis, only the FCGR2A rs1801274 (HR=1.41; 95%CI 0.94–2.10; p=0.09) and CD46 (CD46 molecule, complement regulatory protein) rs2466571 (HR=1.72; 95%CI 1.16–2.55; p=0.007) were associated with risk of transformation. For CD46, one additional SNP (rs2796269) was also associated with transformation (HR=0.61; 95%CI 0.40–0.95; p=0.03). Further adjustment for FLIPI score and treatment (observation versus all other) did not alter these associations. Conclusions. The previously reported association of rs6457327 with risk of transformation in the modern treatment era was replicated. In addition, several HLA loci and two FL prognosis SNPs were linked to transformation risk. The remaining published FL risk or prognosis SNPs were not associated with transformation. Our results support a role for germline genetic variation in the HLA region, FCRGR2A and CD46 in transformation of FL. Disclosures: No relevant conflicts of interest to declare.

Abstract Abstract 1575 We recently demonstrated in a phase II study that the anti-CD22 monoclonal antibody epratuzumab added to RCHOP improved DLBCL survival parameters. Despite these advances, 30–40% of DLBCL patients still relapse and die of disease. Recent advances have led to the identification of a variety of intracellular oncogenic pathways as potential targets for lymphoma therapy. Specifically, many studies have found that activation of the Signal transducer and activator of transcription 3 (STAT3) pathway promotes tumor cell survival in various types of cancers. STAT3 is a transcription factor and exerts its anti-apoptototic effect through several downstream targets such as MYC. MYC protein can be expressed in lymphoma cells with or without the presence of MYC translocation. The frequency of phosphorylated STAT3 (pSTAT3) and MYC expression and their prognostic relevance are unknown within diffuse large B-cell lymphoma (DLBCL), germinal center B-cell (GCB) and non-GCB subtypes. This study studied the tumor cell expression of pSTAT3 and MYC by IHC paired with serum cytokine levels in a DLBCL patient population uniformly treated on N0489. DLBCL tumor samples (n=38) were stained for detection of nuclear pSTAT3 expression. Using a threshold of ≥30% of tumor nuclei staining positive, 35 % (14/40) of tumors were pSTAT3+. An additional 17% (7/40) had between 10–30% pSTAT3+ cells. Non-malignant tonsil tissues (n=10) were positive for tSTAT3 in all cases but all but one case were pSTAT3 negative. Twenty-four of the same DLBCL tumors used for pSTAT3 expression were stained for MYC and 50% (12/24) were MYC positive (all nuclear) as defined by the criteria of ≥30% of cells staining positive. In cases (n=23) where both MYC and pSTAT3 IHC were performed, a positive pSTAT3 was more likely to have MYC expression whereas a positive MYC stain did not inform pSTAT3. By using a break apart probe for the MYC gene, MYC translocations in the major breakpoint regions were found in 10% (3/29) of cases. When MYC FISH was correlated with MYC IHC in the 24 DLBCL cases that had both techniques performed, all 3 MYC translocation cases were GCB by IHC, two were strongly positive for MYC by IHC, and 1 was negative. Among the 21 MYC FISH negative cases, 10 were MYC positive by IHC. These data suggest that MYC expression in lymphoma is not only controlled by genetic events such as translocations but also by other signaling pathways such as STAT3. pSTAT3 expression was correlated with an elevated serum LDH (p=0.0007). Neither MYC or pSTAT3 tumor expression correlated with other clinical or pathological features. Survival analysis revealed a trend toward shorter EFS for DLBCL patients whose tumors expressed MYC protein by IHC (p=0.2) or had a MYC translocation (p=0.09) by FISH; pSTAT3 expression status did not predict EFS (p=0.9). Within the GCB group 10 cases were MYC negative (10/17; 59%) and 7 cases were MYC positive (7/17; 41%). Among the non-GCB group 83% (5/6) were MYC positive. These data clearly suggest a trend of higher MYC positivity in the non-GCB DLBCL group (p=0.07). MYC positive cases had a clear trend of inferior EFS in both GCB (p=0.2) and in non-GCB (p=0.5) groups. The distribution of pSTAT3 (n=38) expression was also evaluated in the GCB (n=26) and non-GCB (n=12) DLBCL. In the GCB group 27% (7/26) were pSTAT3 positive compared to 58% (7/12) in the non-GCB group. Thus, there was a clear trend toward higher pSTAT3 positivity in non-GCB DLBCL tumors (p=0.06); however, pSTAT3 status did not correlate with EFS in either GCB or non-GCB DLBCL patients. In the present study we correlated pretreatment serum cytokines levels of these patients with pSTAT3 and MYC tumor cell expression. Out of the 30 cytokines tested, the only pre-treatment cytokines that were significantly correlated with pSTAT3 expression were IL-10 (p=0.05), G-CSF (p=0.03) and TNFa (p=0.04); none were correlated with MYC expression. Overall, our data provide evidence that over-expression of pSTAT3 and MYC is common in DLBCL. These biomarkers have potential as prognostic factors in the case of MYC and as a tool for selecting therapy for pSTAT3. MYC may be especially useful to further identify an adverse group of DLBCL patients within the otherwise favorable GCB tumor group. The availability of JAK/STAT and STAT-specific inhibitors provides the rationale to incorporate pSTAT3 staining in tumors from patients who are participating in these trials to learn if this biomarker can predict response Disclosures: No relevant conflicts of interest to declare.

Abstract Abstract 1563 Intro: Optimal treatment for non-follicular low grade B-cell lymphoma (NFLGL) is not well defined. Clinical trial design for these subtypes would be enhanced by further understanding of early presentation and management. A large prospective observational study was used to identify presenting clinical features, describe patterns of care and compare the prognostic utility of International Prognostic Index (IPI) and the Follicular Lymphoma International Prognostic Index (FLIPI). Methods: The University of Iowa/Mayo Clinic SPORE Molecular Epidemiology Resource (MER) is a prospective, longitudinal observational study designed to collect information on patterns of care and outcomes for patients with newly diagnosed lymphoma. Patients seen at the Mayo Clinic, Rochester MN and the University of Iowa within 9 months of their initial diagnosis of lymphoma are offered enrollment. Baseline patient reported data, clinical data and initial management are collected using a standard protocol and a central pathology review is performed. After enrollment, patients are actively followed for events (disease progression, retreatment, and death) and disease related comorbidities. This analysis includes 198 patients diagnosed with extranodal marginal zone (EMZL), 22 with nodal marginal zone (NMZL), 47 with splenic marginal zone (SMZL), 48 with lymphoplasmacytic lymphoma (LPL), as well as 67 patients with unclassifiable low-grade B-cell lymphoma (B-NOS). Results: 382 newly diagnosed NFLGBL patients were enrolled in the MER from 2002–2009. The median age at enrollment was 63 years (range 22–95). 52% were male. The most common types of initial therapy after diagnosis were observation (41 %), alkylator- based chemotherapy +/− rituximab (R) (17%), radiation therapy alone (15%) and R monotherapy (13%). At median follow-up of 60 months (range 1–121), 51 patients were deceased and 155 had an event. The clinical characteristics that comprise the IPI and FLIPI were similar across the subtypes. Approximately half of the cases presented at low risk (55% IPI; 48% FLIPI). A majority had a normal LDH (81%), limited nodal involvement (91% had ≤ 4 groups), normal hemoglobin (71% ≥12 g/dL), good performance status (95% 0–1), and advanced stage (57% stages III-IV). There were notable differences among the NFLGBL subtypes. Patients with SMZL and LPL presented with high risk FLIPI of 3–5 (49% and 46% respectively) and high to high-intermediate IPI of 3–5 (21% and 13%). Abnormal LDH and anemia (< 12 g/dL) were more frequent in patients with SMZL (40%; 56%) and LPL (25%; 62%). EMZL presented with lower stages (70% stage I-II) and NMZL presented with increased nodal involvement (38% >4 sites). SMZL had the highest rates of surgical resection (21%) and EMZL was more frequently treated with radiation therapy (25%). LPL (30%) and NMZL (32%) more commonly received alkylator based chemotherapy +/− R. While both IPI and FLIPI differentiated outcome in these patients, FLIPI had higher c-statistics than IPI for both EFS (0.583 vs 0.568) and OS (0.685 vs 0.661), respectively. Conclusions: This large prospective collection of data on NFLGBL patients presenting to academic medical centers provides a modern picture of presentation and management patterns useful to investigators designing clinical trials. FLIPI may have more prognostic utility than IPI in this group of patients. Disclosures: Ansell: Seattle Genetics, Inc.: Research Funding.

Abstract The identification of mutations in BRAFV600E and other kinases in systemic histiocytoses changed our understanding of the pathophysiology of these disorders from inflammatory non-malignant conditions to clonal disorders driven by altered MAP kinase signaling. In addition, BRAFV600E mutations have recently been noted in bone marrow (BM) CD34+ cells of patients with Langerhans Cell Histiocytosis (LCH), suggesting that LCH represents a clonal disorder arising from hematopoietic stem/progenitor cells (HSPCs). However, it is unknown if HSPCs from LCH or other histiocytoses patients can functionally give rise to these disorders. Moreover, whether or not patients with histiocytosis have additional hematological disorders related to the presence of HSPC-based mutations is unclear. Here we attempted to understand the spectrum of hematological disorders in patients with histiocytoses and the cell-of-origin of histiocytic neoplasms by functionally analyzing HSPCs from histiocytoses patients. We first analyzed a multicenter cohort of 190 adult histiocytoses patients. This unexpectedly identified a high frequency of patients with a co-existing myeloid malignancy. Of the 190 patients, 9.5% (18/190) were diagnosed with Erdheim-Chester Disease (ECD) and/or LCH concomitantly with a classic MPN (3.7%; 7/190), MPN/MDS overlap (4.7%; 9/190), or MDS (1.1%; 2/190) (Figure). This clinical observation was confirmed by detection of co-existing histiocytoses-associated kinase mutations (including BRAF, MAP2K1, NRAS, or KRAS mutations) with JAK2 or CALR mutations, as well as other mutations recurrently found in myeloid malignancies (such as IDH1/2, ASXL1, and TET2 mutations (Figure)). These data therefore reveal a heretofore-unrecognized clinical overlap of adult-onset systemic histiocytoses and WHO-classified myeloid malignancies while further highlighting the possibility of an aberrant HSPC origin for histiocytic neoplasms. In most cases, the BRAF/MAP2K1/RAS mutation predominated in the histiocytic lesion while the JAK2/CALR mutation predominated in the BM/peripheral blood suggesting likely distinct clones driving each clinical condition. Next, to test the self-renewal and differentiation capacity of HSPCs from histiocytoses patients, CD34+ cells were purified from 8 patients including 6 with ECD or LCH plus a concomitant myeloid neoplasm, and 2 with ECD alone. 0.1-0.8x106 CD34+ cells from each patient were transplanted by intrafemoral injection into sublethally irradiated NOD/SCID IL2Rγ transgenic human GM-CSF, IL-3, and SCF expressing (NSG-SGM3) mice. Human engraftment was monitored by monthly flow cytometric analysis of peripheral blood until mice became moribund. Thereafter, animals were sacrificed and tissues were analyzed using flow cytometry, histology, immunohistochemistry, and sequencing analyses to detect driver mutations identified in the histiocytosis/co-occurring myeloid neoplasm. Successful engraftment of human myeloid cells was verified in grafts generated from 2/8 patients after a mean of 90 days (range: 60-120 days). This included lethal engraftment of KRAS-mutated ECD patient cells at 90 days manifested by infiltration of human hCD45+ cells co-expressing human myeloid and monocyte lineage markers hCD33 and hCD14 in the bone marrow, spleen, liver, lung, and kidney (Figure). Immunostains revealed that tissues were infiltrated by an hCD45+hCD163+hCD68+ population of foamy histiocytes, characteristic of ECD (Figure). Furthermore, genomic analysis of DNA from the engrafted animals BM and spleen revealed the same KRASG12S mutation found in the donor patients ECD lesion. Engraftment of a patient diagnosed with concomitant BRAFV600E-mutant ECD and ASXL1/TET2-mutant CMML was seen at 60 days. In this case, however, only engraftment of human CMML was detected without evidence of the BRAFV600E-mutant ECD component. This study suggests that adult histiocytic neoplasms frequently co-occur with other myeloid neoplasms. Moreover, histiocytosis disease-driver mutations are present in the CD34+ HSPCs, which we show for the first time can initiate disease that resembles human histiocytosis in a patient-derived xenograft. Importantly, however, even though the CD34+ compartment gives rise to both the histiocytic and myeloid neoplasm disease component, each disease is likely initiated by distinct precursors. Figure. Figure. Disclosures No relevant conflicts of interest to declare.

Abstract Histiocytic neoplasms are clonal, hematopoietic disorders characterized by an accumulation of abnormal monocyte-derived dendritic cells or macrophages in Langerhans Cell (LCH) and non-Langerhans (non-LCH) histiocytoses, respectively. The discovery of the BRAF V600E mutation in ~50% of patients with LCH and the non-LCH Erdheim-Chester Disease (ECD) provided the first molecular target in these patients and novel insights into the pathogenesis of these disorders. However, recurrent mutations in the majority of the ~50% of BRAF V600E-wild type patients with non-LCH are unknown. Moreover, recurrent mutations outside of the MAP kinase pathway are undefined throughout histiocytic neoplasms. To address these issues, we performed whole exome sequencing (WES) of frozen biopsies from 24 patients with LCH (n=10) or ECD (n=14) paired with peripheral blood mononuclear cells. 13/24 patients also underwent RNA sequencing (RNA-seq). All mutations in activating kinases were validated by droplet-digital PCR, while targeted-capture next-generation sequencing validated all others. Both adult (n=18; n=2 with LCH) and pediatric cases (n=9; n=8 with LCH) were included. Using combined WES/RNA-seq, activating kinase alterations were identified in 100% of patients. In LCH, 60% and 40% had BRAF V600E and MAP2K1 mutations, respectively. In non-LCH 51%, 14%, 14%, and 7% were BRAFV600E, ARAF, MAP2K1, and NRAS mutant (Fig1A). Overall, a mean of 7 non-synonymous mutations per adult patient was identified (range 1-22) compared with 5 mutations per pediatric patient (range 4-9; p =ns). Mutations affecting diverse cellular processes were found to co-exist with kinase mutations including mutations in epigenetic modifiers and the p38/MAPK pathway. In addition to kinase point mutations, RNA-seq identified recurrent, in-frame kinase fusions-a first for these disorders. All identified fusions were validated using FISH and RT-PCR. This includes novel fusions in BRAF (RNF11-BRAF and CLIP2-BRAF), as well as therapeutically important fusions in ALK (2 separate KIF5B-ALK fusions) and NTRK1 (LMNA-NTRK1;Fig1B). Expression of each fusion in Ba/F3 cells conferred cytokine-independent growth. Importantly, the BRAF fusions were found to be sensitive to MEK inhibition but resistant to vemurafenib while the ALK fusions conferred sensitivity to the ALK inhibitors crizotinib or alectinib. We next interrogated a validation cohort of 37 BRAF V600E-wild type, non-LCH, formalin-fixed, paraffin-embedded tissue samples using targeted mutational profiling for MAP2K1, ARAF, NRAS, KRAS, and PIK3CA. This revealed activating mutations in MAP2K1 (32%; n=12), NRAS (16%; n=6), KRAS (11%; n=4), PIK3CA (8%; n=3), and ARAF (3%; n=1). Three of the investigated non-LCH patients with refractory disease and progressive organ dysfunction were treated with targeted therapies based on the discovery of novel kinase alterations described above. Treatment of 2 refractory MAP2K1- mutant, non-LCH patients with MEK inhibitors (trametinib or cobimetinib) resulted in dramatic clinical improvement (Fig1C). Both patients have been maintained on MEK inhibitor single-agent therapy with a sustained clinical response for >100 days. Further evidence of effective targeted inhibition was found in a refractory ECD patient carrying an ARAF S214A mutation. This patient failed to respond to 3 lines of prior therapies and suffered near blindness due to disease infiltration in the retina and optic nerves. Given a recent report of complete response to sorafenib in a lung cancer patient with an ARAF S214C mutation, we initiated sorafenib. Within 12 weeks, there was improvement in the patientÕs eyesight and decreased infiltrative disease, coinciding with >50% decrease in mutant ARAF DNA in plasma cell-free DNA. Whole exome and transcriptome sequencing identified activating kinase mutations or translocations in all patients with the common downstream effect of activating the MAPK pathway. The preliminary, dramatic, clinical efficacy observed with use of MEK and RAF inhibitors in MAP2K1 - and ARAF-mutated, non-LCH patients further supports the central role of targeting the MAPK pathway in these tumors. The discovery of the discussed mutations and fusions in diverse kinases provides critical new insights into the genetic events central to a spectrum of adult and pediatric histiocytic neoplasms. Figure 1. Figure 1. Disclosures Off Label Use: This abstract describes use of MEK inhibitors (both tremetinib and cobimetinib) as well as sorafenib for MEK1 and ARAF mutant histiocytosis. . Stephens:Foundation Medicine, Inc.: Employment, Equity Ownership. Miller:Foundation Medicine, Inc.: Employment, Equity Ownership. Ross:Foundation Medicine Inc.: Employment. Ali:Foundation Medicine Inc.: Employment. Hyman:Chugai Pharma: Consultancy; Biotherapeutics: Consultancy; Atara: Consultancy, Honoraria.

Abstract Epigenetic silencing of tumor-suppressor genes has potential therapeutic relevance if the diagnostic and prognostic utility of particular DNA methylation patterns could be established. SHP1 is a tumor-suppressor gene that can be downregulated in various neoplasms. The aims of this study are (i) whether SHP1 was lost/ suppressed in diffuse large B cell lymphoma (DLBCL) (ii) Understanding the role of various epigenetic mechanisms including CpG hypermethylation and histone modifications in SHP1 loss, and (iii) whether SHP1 in DLBCL can be re-expressed with epigenetic therapy. We initially analyzed SHP1 mRNA expression in DLBCL (n=9) patient specimens and normal B-cells by QRT-PCR. Decreased expression of SHP1 mRNA was observed in all the DLBCL patient samples as compared to normal B cells. DLBCL tumor samples (n=37) along with normal tonsils (n=10) were stained for SHP1 protein by immunohistochemistry (IHC). SHP1 expression was lost or suppressed in 53% of DLBCL tumors compared to normal controls. These data, when taken together, confirm that SHP1 is strongly expressed in normal B-cells and can be lost or suppressed in DLBCL tumors. We performed epigenetic studies of SHP1 CpG promoter 2 (named CPG1 P2) in 37 DLBCL tumors and 6 DLBCL cell lines by methylation specific (MSP1) PCR and pyrosequencing methods. Surprisingly, SHP1 CpG1 P2 hypermethylation (0/37) was not detected in patient samples or cell lines by both methods. Our data conclusively demonstrate that SHP1 CpG1 P2 hypermethylation is absent in DLBCL tumors. The finding that SHP1 was lost or silenced in many of the clinical samples without finding any CpG1 P2 hypermethylation led us to extend our methylation studies to a novel, more proximal CpG island within P2 (named CpG2) that has not been previously studied in any hematological malignancies. We designed the primers specific for these CpG2 sites and ran the pyrosequencing on the same 37 DLBCL tumors as used above for CpG1 methylation. Using a cut off of >25% (intermediate to high methylation) 57% (21/37) of patient samples were methylated. The Ly3, Ly10, and DHL2 DLBCL cell lines were also hypermethylated at CpG2. To confirm the role of CpG2 methylation in SHP1 expression, we treated the Ly3 and DHL2 cells with the DNA methyltransferase inhibitor, 5-Azacytidine (Aza). We observed increased SHP1 expression compared to untreated control cells in Ly3 and DHL2 cells followed by a progressive demethylation of SHP1 CpG2, as shown by positive U-MSP with increasing amplification intensity. This resulted in a corresponding down-regulation of activated STAT3 in a similar time dependent manner. Treatment of Ly3 and DHL2 cells with 5-Aza for 0-6 days significantly (p=0.0008 for Ly3 and p=0.03 for DHL2) reduced the cell survival (40% decrease at day 6). To further investigate epigenetic control of SHP1 in DLBCL, we proceeded to study whether histone modifications in the SHP1 promoter were involved in the regulation of SHP1 expression. Chromatin immunoprecipitation assays were performed in the Ly3, Raji cell line and normal B cells, by using antibodies to repressing marks on histones. We observed that the SHP1 promoter in the Ly3 and Raji cells was enriched for both H3K9me3 and H3K27me3 repressing marks as compared to normal B cells. To confirm the role of histone modifications in SHP1 expression, we treated Ly3 cells with the histone methyltransferase inhibitor (HMT) DZNEP and the HDAC inhibitor LBH589 (Novartis Pharmaceuticals). DZNEP has been shown to be very specific for histone suppressive marks H3K27me3 that are mediated through EZH2. Treatment with DZNEP partially reverted the H3K27me3 histone marks in the SHP1 promoter followed by increased the SHP1 expression in Ly3 cells. LBH589 treatment was not able to inhibit H3K27me3 marks, but was able to inhibit the CpG2 methylation within the SHP1 promoter 2 alone or in combination with 5- Aza. In conclusion, these data provide a comprehensive characterization of the epigenetic mechanisms leading to SHP1 deregulation in the DLBCL tumors. These findings support the notion that control of SHP1 P2 in DLBCL tumors is associated with both DNA promoter methylation and histone methylation, which explains our results that treatment with 5-Aza, DZNEP and LBH589 could reactivate SHP1 expression and inhibit DLBCL cell survival. Therefore, SHP1 may prove useful diagnostic and prognostic marker and provide a rationale to use epigenetic therapy for patients with DLBCL. Disclosures: No relevant conflicts of interest to declare.

Abstract Introduction: AL amyloidosis is a very heterogeneous disease. Prognosis is a function of organ tropism, extent of organ damage, and ability of tissues to heal, the last of which relates both to hematologic response and intrinsic toxicity of the light chain. Using mass spectroscopy (MS) technology, we are able to distinguish immunoglobulin light chain variable gene family (IGVL) usage on clinical samples. The goal of this study was to evaluate if IGVL usage impacts patient outcomes in patients with light chain amyloidosis (AL). Methods: IGVL usage was determined by mass spectroscopy (MS) of amyloid in clinical tissue specimens of Mayo Clinic patients. Specimens were from fat pad (n=257), bone marrow (n=172), myocardium (n=113), gastrointestinal (n=58), kidney (n=20), lung (n=15), and nerve (n=5). For those cases for which the IGVL could not be identified--not otherwise specified (NOS)—but constant region could be identified as lambda or kappa, we assume that the amyloid consisted primarily of immunoglobulin light chain gene constant regions or variable genes with somatic mutations making them uninterpretable to our matching algorithms. The medical records from these 700 patients were abstracted for relevant clinical and laboratory data. Results: The baseline characteristics of patients are shown in table 1. Three hundred and thirty-two patients have died with a median follow-up of surviving patients of 38 months. The estimated median survival for the entire population is 59 months. Out of 700 patients, 214 (31%) achieved a CR or a VGPR, 432 (62%) were not evaluable (NE) for hematologic or organ response, and 54 (8%) achieved a PR or did not respond (NR). The distribution of IGVL cases is shown in table 2. Overall survival (OS) for the whole group was not different across different IGVLs on univariate analysis, but when corrected for hematologic response, outcomes differed significantly based on IGVL. Patients could be further assembled into two groups, based on risk for death on univariate analyses: an IGVL high risk, which included KV1, LV1, LV2, LV3, and LV6; and low risk, which included all other cases (Figure). In a multivariate model that included level of hematologic response (CR/VGPR versus PR/NR/NE) and IGVL, IGVL family was independently associated with overall survival (RR=1.5 (95% CI 1.2-1.9, p=0.008). The risk ratio for CR/VGPR was 0.28 (95% CI 0.20-0.38, p<0.0001). This effect persisted when either the Mayo 2006 or the 2012 staging system was included in the multivariate. Conclusion: IGVL usage appears to have prognostic significance in patients who have not achieved VGPR or better to initial chemotherapy. Table 1. Baseline characteristics of patients N= 700 Age 63 (32-94) Male, (%) 447 (64%) Biopsy site Solid organ/Soft tissue 271 (39%) Fat pad 257 (37%) Bone Marrow 172 (25%) Organ involvement Cardiac 432 (62%) Renal 346 (49%) Gastrointestinal 168 (24%) Liver 56 (8%) Nerve 107 (15%) Lung 42 (6%) Soft Tissue 92 (13%) Organs involved 1 321 (46%) 2 228 (33%) ≥3 151 (22%) Laboratory characteristics NTBNP, pg/ml 2547 (11.3-70000) Troponin, ng/ml 0.03 (0.001-0.84) dFLC, mg/dl 26 (0.04-2330) Cardiac Stage 1 59 (18%) 2 125 (38%) 3 144 (44%) Table 2. Variable region family distribution. Light Chain N=700 N (%) KV1 107 (15%) KV2 3 (0.4%) KV3 17 (2%) KV4 25 (4%) KV6 1 (0.1%) LV1 85 (12%) LV2 64 (9%) LV3 118 (17%) LV4 3 (0.4%) LV6 97 (14%) LV8 1 (0.1%) LV9 1 (0.1%) Kappa NOS1 34 (4%) Lambda NOS1 140 (19%) Heavy chain amyloidosis 4 (0.6%) 1 No IGVL family could be identified Figure 1 Figure 1. Disclosures No relevant conflicts of interest to declare.