Citations

Asthma is defined as chronic inflammation of the airways and is characterized by airway remodeling, hyperresponsiveness, and acute bronchoconstriction of airway smooth muscle (ASM) cells. Clinical findings suggest a higher incidence and severity of asthma in adult women, indicating a concrete role of sex steroids in modulating the airway tone. Estrogen, a major female sex steroid mediates its role through estrogen receptors (ER) ERα and ERβ, which are shown to be expressed in human ASM, and their expression is upregulated in lung inflammation and asthma. Previous studies suggested rapid, nongenomic signaling of estrogen via ERs reduces intracellular calcium ([Ca2+]i), thereby promoting relaxation of ASM. However, long-term ER activation on [Ca2+]iregulation in human ASM during inflammation or in asthma is still not known. In Fura-2-loaded nonasthmatic and asthmatic human ASM cells, we found that prolonged (24 h) exposure to ERα agonist (PPT) increased [Ca2+]iresponse to histamine, whereas ERβ activation (WAY) led to decreased [Ca2+] compared with vehicle. This was further confirmed by ER overexpression and knockdown studies using various bronchoconstrictor agents. Interestingly, ERβ activation was more effective than 17β-estradiol in reducing [Ca2+]iresponses in the presence of TNF-α or IL-13, while no observable changes were noticed with PPT in the presence of either cytokine. The [Ca2+]i-reducing effects of ERβ were mediated partially via L-type calcium channel inhibition and increased Ca2+sequestration by sarcoplasmic reticulum.Overall, these data highlight the differential signaling of ERα and ERβ in ASM during inflammation. Specific ERβ activation reduces [Ca2+]iin the inflamed ASM cells and is likely to play a crucial role in regulating ASM contractility, thereby relaxing airways.

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

Abstract Introduction. The peripheral blood absolute lymphocyte (ALC)/monocyte (AMC) ratio (ALC/AMC), as a surrogate of host immunity (i.e. ALC) and tumor microenvironment (i.e. AMC), is a predictive biomarker for clinical outcomes in diffuse large B-cell (DLBCL) patients. An ALC/AMC ratio ≥ 1.1 has been shown to be predictive of better survival both at baseline and during each therapy cycle in patients treated with R-CHOP [Porrata et al, 2014]. Lenalidomide is an immunomodulatory drug, effective in DLBCL patients, with various mechanisms of actions on the tumor microenvironment and the host immune response. In this study we analyze the prognostic value of ALC/AMC ratio in a cohort of newly diagnosed DLBCL patients treated with Lenalidomide plus R-CHOP (rituximab, cyclophosphamide, doxorubicin, vincristine, prednisone, R2-CHOP) in a phase II trial (MC078E trial, [Nowakowski et al, 2015]). Methods. All patients with de-novo DLBCL enrolled in the phase II trial MC078E and treated at diagnosis with R2-CHOP regimen were included in the analysis. We investigated the ALC/AMC ratio at baseline and each R2-CHOP cycle as predictor of progression-free survival (PFS) and overall survival (OS). The ALC/AMC ratio was obtained by dividing the ALC by the AMC from the automated white blood cell differential obtained from the complete blood cell count on day 0 of each treatment cycle (range from day -3 to day 0 of each course). Patients were then divided in 4 groups on the basis of pattern of ALC/AMC ratio during treatment: group A: patients with ALC/AMC ratio ≥ 1.1 throughout all cycles; group B: patients with ALC/AMC ratio ≥ 1.1 at baseline, but then obtained an ALC/AMC < 1.1 during treatment; group C: patients with ALC/AMC ratio < 1.1 at baseline, but then gained an ALC/AMC ≥ 1.1 during treatment; group D: patients with ALC/AMC ratio < 1.1 throughout all cycles. PFS and OS were analyzed in the different groups. We separately conducted the same analysis in a matched control cohort of 94 DLBCL patients from the Mayo Clinic Lymphoma Database treated with standard R-CHOP. Results. A total of 63 patients with de-novo DLBCL treated with R2CHOP regimen at diagnosis were included in the analysis. Clinical characteristics were: median age 67 years (22-87), male sex 61.9%, III-IV advance stage 87.3%, elevated LDH serum levels 66.7%, intermediate-high/high International Prognostic index (IPI) score in 54% cases. No differences in 3y-PFS and 3y-OS in patients with ALC/AMC ratio ≥ 1.1 vs ALC/AMC < 1.1 at baseline and at each R2-CHOP course have been observed. In a landmark analysis from day 0 of the last cycle, 3y-PFS in group A vs B vs C vs D was: 71.4% vs 67.1% vs 66.7% vs 85.7%, respectively (p 0.80); 3y-OS in group A vs B vs C vs D was: 85.7% vs 86.5% vs 66.7% vs 100%, respectively (p 0.74). No differences in both 3y-PFS and 3y-OS were observed comparing group A vs B, in group C vs D, and in group A vs D. Unlike what was observed in the R-CHOP treated DLBCL patients, in a univariate analysis ALC/AMC < 1.1 during all cycles of R2CHOP was not a predictor for inferior outcomes (Figure 1.a). In the matched cohort of patients treated with standard R-CHOP, ALC/AMC < 1.1 at baseline and at each course demonstrated to be predictive of worse outcome (p <0.01),survival was significantly different in the 4 groups identified according to ALC/AMC ratio during treatment and ALC/AMC < 1.1 maintained during all cycles of R2CHOP was predictive of worse PFS and OS (Figure 1.b). Conclusions. Lenalidomide in combination with standard R-CHOP (R2-CHOP), in previously untreated DLBCL patients, appears to overcome the negative prognostic value of ALC/AMC ratio observed in patients treated with R-CHOP alone. This could reflect the additional effect of lenalidomide to standard therapy on tumor microenvironment and on host immunity response. Figure 1: Landmark Analysis for Progression Free Survival and Overall Survival by ALC/AMC groups within R2CHOP (1.A) and R-CHOP (1.B). Group A: ALC/AMC >=1.1 for all cycles; Group B: ALC/AMC >=1.1 at baseline and obtained <1.1 during treatment; Group C: ALC/AMC <1.1 at baseline and obtained >=1.1 during treatment; Group D: ALC/AMC <1.1 for all cycles. Disclosures Witzig: Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding.

Background: Local, intrawound use of antibiotic powder, such as vancomycin and tobramycin, in spinal fusion surgery has become an increasingly common prophylactic measure in an attempt to reduce rates of postsurgical infection. However, the effects of localized antibiotic delivery on fusion remain unclear. The objective of this study was to examine the in vivo effects of intraoperative local delivery of 2 antibiotics commonly used in bone-grafting surgery on spinal fusion outcomes in a rat model. Methods: Single-level (L4-L5), bilateral posterolateral intertransverse process lumbar fusion surgery was performed on 60 female Lewis rats (6 to 8 weeks of age) using syngeneic iliac crest allograft mixed with clinical bone-graft substitute and varying concentrations of antibiotics (n = 12 each): (1) control without any antibiotics, (2) low-dose vancomycin (14.3 mg/kg), (3) high-dose vancomycin (71.5 mg/kg), (4) low-dose tobramycin (28.6 mg/kg), and (5) high-dose tobramycin (143 mg/kg). Eight weeks postoperatively, fusion was evaluated via micro-computed tomography (µCT), manual palpation, and histological analysis, with blinding to treatment group. In the µCT analysis, fusion-mass volumes were measured for each rat. Each spine specimen (L4-L5) was rated (manual palpation score) on a scale of 2 to 0 (2 = fused, 1 = partially fused, and 0 = non-fused). Results: The mean fusion-mass volume on µCT (mm 3 ) was as follows: control, 29.3 ± 6.2; low-dose vancomycin, 26.3 ± 8.9; high-dose vancomycin, 18.8 ± 7.9; low-dose tobramycin, 32.7 ± 9.0; and high-dose tobramycin, 43.8 ± 11.9 (control versus high-dose vancomycin, p < 0.05; and control versus high-dose tobramycin, p < 0.05). The mean manual palpation score for each group was as follows: control, 1.46 ± 0.58; low-dose vancomycin, 0.86 ± 0.87; high-dose vancomycin, 0.68 ± 0.62; low-dose tobramycin, 1.25 ± 0.71; and high-dose tobramycin, 1.32 ± 0.72 (control versus high-dose vancomycin, p < 0.05). The histological analyses demonstrated a similar trend with regard to spinal fusion volume. Conclusions: Intraoperative local application of vancomycin, particularly at a supraphysiological dosage, may have detrimental effects on fusion-mass formation. No inhibitory effect of tobramycin on fusion-mass formation was observed. Clinical Relevance: When spine surgeons decide to use intraoperative intrawound antibiotics in spinal fusion surgery, they should weigh the reduction in surgical site infection against a possible inhibitory effect on fusion.

Abstract MAJIC is a phase II trial of Ruxolitinib (RUX) vs Best Available Therapy (BAT) in essential thrombocythemia (ET) patients with resistance/intolerance to Hydroxycarbamide (HC) per European LeukemiaNet (ELN) criteria. Primary outcome was rate of complete hematological response (CHR) within 1 year (ELN criteria); secondary outcomes included partial HR, safety, thrombosis, hemorrhage, progression free survival (including transformation), molecular response (MR), symptom & quality of life (QOL) assessment. We present new data concerning molecular, symptom & clinical responses. Patients were stratified by JAK2V617F status, patient-reported symptoms & QOL determined using EQ5D, MDASI & MPN Symptom Assessment Form (MPN10), & compared using linear mixed models of post-baseline scores through month 12 adjusting for baseline; response was defined as ≥50% reduction in MPN10 total symptom score (TSS). JAK2/CALR/MPL allele burdens were assessed at baseline & 4 monthly. 110 patients were eligible for the modified ITT analysis, 58 (52%) & 52 (48%) in RUX & BAT arms respectively, comprising 44 males, 66 females, mean age 64.2ys, & resistant (24.5%), intolerant (51.8%) or both (22.7%) to HC. CHR was achieved in 27 (46.6%) of RUX patients vs 23 (44.2%) BAT patients (χ2 test p= 0.81). PHR occurred in 26 (44.8%) & 27 (51.9%) of RUX & BAT treated respectively. Grade 3 or 4 anemia occurred in 19% & 0% for RUX arm vs 0% (both grades) for BAT arm, grade 3 or 4 thrombocytopenia in 5.2% & 1.7% of RUX vs 0% (both grades) of BAT patients respectively. Grade 3 or 4 infections occurred in 10.3% of RUX patients vs 3.6% BAT arm. 9 RUX treated patients had 10 thrombotic events & 1 RUX patient a hemorrhage; vs 5 thrombotic & 5 hemorrhagic events in BAT patients (adjusted following central review). Transformations to post-ET MF occurred in 8 RUX vs 3 BAT treated patients, 1 RUX patient developed AML. 2 non-treatment related deaths occurred in each arm. Mean MPN-10 TSS & individual symptoms of early satiety & itching during the first 12 months were all significantly lower for RUX vs BAT (all p<0.05). Patients who achieved CHR had significantly better TSS, fatigue, inactivity, concentration problems, & MDASI symptom interference (all p<0.05) at baseline vs those without; however, scores during treatment did not appear to differ between CHR & non CHR groups after adjusting for these baseline differences. Allele burden during study & MRs (per ELN-IWG criteria Barosi Blood 2013) are shown in Table 1. Assays for JAK2 V617F were performed independently in 3 centres using qPCR (Guy's), TSCA NGS (Oxford) & amplicon-based NGS (Salisbury) & revealed Mean (range): JAK2 (Guy's): 33.2 (0.1-94.6), N=52; JAK2 (Oxford): 38.0 (0.5-92.2), N=52; JAK2 (Sal): 38.3 (0-90.0), N=50 (limited to JAK2 positive only). With Interclass Correlation Coefficient as follows ICC (Guy's v Oxford): 0.92 (95% CI 0.86-0.95) ICC (Guy's v Sal): 0.92 (95% CI 0.86-0.95) ICC (Oxford v Sal): 0.997 (95% CI 0.994-0.998). Notably MRs (n=5) only occurred with RUX treatment. There was no pattern of MR or progression with C/PHR or transformation, but 1 patient who transformed to PET MF had a complete MR. In a separate analysis baseline symptoms & QOL were not associated with JAK2, CALR, nor MPL status. Within RUX, baseline symptoms & QOL did not predict MR; however, fatigue, early satiety & abdominal discomfort (all p<0.05, Table 1) were significantly lower among those with MR vs not during treatment with a descriptively higher symptom response rate (2/4 [50%] vs 9/30 [30%]). Three non pre-specified multivariate analyses were performed to assess baseline factors influencing CHR (modelled for: treatment received, HC resistance or intolerance, white cell count, platelets, Hb & JAK2/CALR status); occurrence of ≥ grade 3 anemia or thrombocytopenia (modelled for: Hb (≥ 100g/dl) JAK2/CALR status); & transformation to PET-MF (modelled for: treatment, Hb ≤100g/dl). Only baseline Hb ≤100g/dl was significant for grade 3+ anemia (OR [95% CI]=0.17 [0.04, 0.72]), & PET-MF only occurred in patients with baseline WBC <10x109/L. This updated analysis shows that HC resistant/intolerant ET is clinically & molecularly diverse. We confirm that these patients are at high risk of thrombosis & transformation as suggested in prior retrospective studies. Molecular responses were limited to RUX & for the first time we demonstrate such responses may correlate with symptom improvement but not always with progression events. Disclosures Harrison: Shire: Honoraria, Speakers Bureau; Gilead: Honoraria, Speakers Bureau; Incyte Corporation: Honoraria, Speakers Bureau; Baxaltra: Consultancy, Honoraria, Speakers Bureau; Novartis: Consultancy, Honoraria, Other: travel, accommodations, expenses, Research Funding, Speakers Bureau. Mead:Novartis: Honoraria, Research Funding, Speakers Bureau. Aliman:Novartis: Other: Institutional funding and grant for international conference. . Chen:Novartis: Other: Advisory Board. Coppell:Novartis: Other: Travel, accommodation and conference attendance. Knapper:ONO pharmaceuticals: Research Funding; Novartis: Honoraria, Other: Travel and expenses for international conferences. Ali:Novartis: Honoraria, Other: Conference sponsorship, advisory board meetings. Hamblin:Novartis: Other: Advisory Board. Dueck:Bayer: Honoraria. Cross:Novartis: Consultancy, Honoraria, Research Funding, Speakers Bureau. Mesa:Celgene: Research Funding; Promedior: Research Funding; CTI: Research Funding; Gilead: Research Funding; Incyte: Research Funding; Galena: Consultancy; Ariad: Consultancy; Novartis: Consultancy. McMullin:Novartis: Honoraria, Speakers Bureau.

Abstract Multiple myeloma (MM) is 2-3 times more common among African-Americans compared to non-Hispanic whites. The 2-3-fold increased risk among family members of cases suggests a genetic contribution to risk. Genome-wide association studies (GWAS) in populations of European ancestry have identified seven novel risk loci at 2p23.3 (rs6746082), 3q26.2 (rs10936599), 3p22.1 (rs1052501), 6p21.32 (rs2285803), 7p15.3 (rs4487645), 17p11.2 (rs4273077) and 22q13.1 (rs877529) (Broderick, et al. Nat Genet, 2011, Chubb, et al. Nat Genet, 2013), three of which were replicated in another European series (Martino et al., Br J Haematol, 2012). Here we examined the index signals and conducted fine-mapping for each locus in a case-control study of 1,049 multiple myeloma cases and 7,084 controls of African ancestry to identify better markers of risk and novel independent loci in seven previously reported regions in this high risk population. Incident cases were recruited from 10 clinical centers and SEER cancer registries from 2011 to 2013 and genotyped using the Illumina HumanCore GWAS array. Control data were obtained from previous genome-wide studies of breast and prostate cancer, genotyped using the Illumina 1M-Duo in 4425 male controls from the African Ancestry Prostate Cancer Consortium (consisting of 14 independent studies) and 2632 female controls from a breast cancer GWAS of African-American women (consisting of 9 independent studies). Imputation to 1000 Genomes (March 2012 release) was conducted for regions around six of the previously identified single nucleotide polymorphisms [SNPs] (the HLA region harboring rs2285803 is still being imputed, results will be presented). A case-control analysis of SNPs/indels >1% frequency within 250 kb of each index variant was conducted using unconditional multivariable logistic regression adjusting for age, sex and five leading principal components. Region-specific alpha levels were determined through permutation tests. The minimum alpha level across the six regions was α=0.002. All previously reported risk variants were common in African-Americans (minor allele frequency [MAF] >0.05). For five of the six SNPs, we had ≥94% power to detect the same effect observed in non-Hispanic whites, and 64% power for the less common variant rs10936599 (MAF=0.07). We observed directionally consistent effects (odds ratio [OR]>1) for the six risk variants tested, with three replicating at p≤0.05 (7p15.3, p=1.4x10-7; 17p11.2, p=0.05; 22q13.1, p=0.02). For three of the six regions, we observed better markers of risk in African-Americans that were correlated with the index SNP in Europeans (7p15.3, rs56333627, p=1.5x10-5, r2=0.89; 17p11.2, rs34562254, p=2.9x10-3, r2=0.90; 22q13.1, rs2092410, p=1.1x10-4 r2=.71). The missense variant identified in the 17p11.2 region (rs34562254, Pro251Leu) is located in TNFRSF13B, which encodes the protein TACI, a B cell surface receptor which plays a role in B cell maturation, apoptosis and antibody production by inducing activation of transcription factors including NFAT and NFκβ. In addition, there is evidence suggesting that TACI is involved in MM pathogenesis. Our results demonstrate that many of the risk loci for MM found in European ancestry populations are also risk loci in men and women of African ancestry and that by fine-mapping, we are able to identify variants that better capture risk in populations of African ancestry. Disclosures Terebelo: Celgene Corp: Membership on an entity's Board of Directors or advisory committees. Lonial:Millennium: The Takeda Oncology Company: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Novartis: Consultancy, Research Funding; Bristol-Myers Squibb: Consultancy, Research Funding; Onyx Pharmaceuticals: Consultancy, Research Funding.

Abstract Background: The salivary gland is one of the most common sites of involvement by non-gastric extranodal marginal zone lymphomas of mucosa-associated lymphoid tissue (MALT). This multicenter, international trial sought to characterize the clinical course, treatment and outcome of patients with salivary gland MALT lymphoma. Methods: Patients were identified from multiple international sites including the Mayo Clinic Lymphoma Database (n=89), three International Extranodal Lymphoma Study Group (IELSG) cohorts (n=138), and the University of Athens (n=21). All patients had biopsy-confirmed MALT lymphoma of the salivary gland by WHO criteria. Clinical characteristics, treatment, and outcomes were obtained from the respective patient databases. Survival probability was estimated using the Kaplan-Meier method and compared between groups with the Wilcoxon or log-rank. The impact of variables on survival was assessed by the Cox proportional hazards model. Results: Patients and clinical features: From 1983 to 2012, 247 patients with MALT lymphoma were included. Clinical characteristics are shown in Table 1. The median age at diagnosis was 59, and the male-to-female ratio was 1:3. The majority of patients (76%) presented with limited stage disease, and the parotid gland was the most common site of involvement (78%). There was a history of antecedent autoimmune disease in 41% of patients, and Sjögren’s disease was the most common (83%). Treatment: Information on initial treatment was available on 242 patients. 137/242 patients (57%) initially received local therapy with either surgery (n=81), radiation (n=26), or both (n=30). Of these, 25 received adjuvant systemic therapy. 90/242 patients (37%) were treated initially with systemic therapy, of whom 54% had localized and 46% had stage IV disease. Rituximab was used alone (n=16) or in combination with chemotherapy (n=26) in 42 of the 90. 15/242 patients (6%) were initially observed. Survival: The median OS for all patients was 18.3 years. PFS following primary therapy was 9.3 years. There was no difference in the outcomes between patients receiving local or systemic therapy in first line for all patients, or for those with stage I or II disease. On univariate analysis age <60, stage, IPI, normal LDH, the presence of Sjögren’s disease, and treatment with rituximab were associated with improved overall survival. Age <60, low to intermediate IPI and normal LDH were associated with improved PFS. On multivariate analysis, age<60, and IPI were associated with improved OS and PFS and Sjögren’s disease was associated with improved OS. Relapse/progression: The site of progression was known in 51 of 76 patients who progressed. 15 (29%) patients progressed in the same salivary gland or regional nodes; in 16 (21%) recurrence involved the contralateral salivary gland; 20 (31%) had distant progression. Relapse histology was identified in 30. The most common pathology at relapse was MALT (n=28), with one patient progressing to diffuse large B-cell lymphoma. A second patient developed a mantle cell lymphoma. Conclusions: Salivary gland MALT lymphoma commonly presents at an early stage, and has a favorable prognosis with a median OS of 18 years. Surgical or radiation therapy does not appear to have benefit over systemic therapy. Patients with Sjögren’s disease appear to have a better survival. The role of rituximab and optimal first-line therapy should be evaluated further in prospective trials. Table 1: Characteristics of 247 patients with salivary MALT Characteristic N (%) Age, median; range 59; 18-93 Sex, Male: Female 62: 185 (25: 75) Primary site of involvement Parotid 193 (78) Submandibular 12 (5) Other/not specified 42 (17) Extent (unilateral: bilateral) 89:21 Missing data 137 Autoimmune disorder* 101(41) Sjögren’s 84 (33) Rheumatoid arthritis 9 (4) Raynaud’s phenomenon 8 (3) Scleroderma 5 (2) Other 19 (8) Stage IE 147 (59) IIE 42 (17) IV 56 (23) Missing data 2 (1) IPI Score Low (0-1) 126 (51) Low-Intermediate (2) 20 (8) High-intermediate (3) 21 (8) High (4-5) 5 (2) Missing data 75 (31) Elevated LDH 17 (7) ECOG PS 0-1 246 2 1 Extranodal sites 1 58 (23) 2 187 (76) Missing data 2 (1) B symptoms 9 (4) * Percents may not equal 100 as some patients had more than one disorder. Figure One: Overall survival of patients with and without Sjögren’s disease Figure One:. Overall survival of patients with and without Sjögren’s disease Disclosures Nowakowski: Celgene, Morphosis: Consultancy. Zucca:Roche, Mundipharma, Novartis, Jannsen, Celgene: Consultancy, Honoraria, Research Funding.