Добірка наукової літератури з теми "004.415.2; 519.246.8"

Abstract Background: Alpelisib and fulvestrant are used as a combination treatment option for postmenopausal PIK3CA-mutated, hormone receptor positive (HR+), human epidermal growth factor receptor 2-negative (HER2-), advanced or metastatic breast cancer (a/mBC) patients. However, despite the presence of activating mutations in PIK3CA, the majority of patients do not derive benefit, or ultimately progress while on alpelisib therapy. Here, we investigate the genomic landscape of PIK3CA-mutated, HER2- a/mBC using next-generation sequencing (NGS) to provide insight into possible mechanisms of therapeutic resistance to alpelisib/fulvestrant and to identify potential targetable pathways. Methods: We utilized the Tempus LENS platform to retrospectively analyze de-identified NGS data from 2,918 a/mBC patients with formalin-fixed, paraffin-embedded tumor biopsies sequenced using the Tempus|xT solid tumor assay (DNA-seq of 595-648 genes at 500x coverage; full transcriptome RNA-seq). Mutations identified included germline and/or somatic single nucleotide variants, insertions/deletions and copy number variations (gains defined as ≥8 copies). We used curated clinical data to determine HER2 and hormone receptor (ER/PR) status. Results: Among 2,918 a/mBC patients, we identified somatic mutations in PIK3CA in 782 (26.8%). Within these tumors, 629 (80.4%) had one of the 11 mutations currently included in the alpelisib companion diagnostic, and we focused on this population (here defined as mut-PIK3CA). Of these 629, 546 (86.8%) were HER2-, with 176 (32.3%) and 370 (67.7%) derived from primary and metastatic tumors, respectively. Cases were further classified as HR+ (defined as ER+ or PR+) or triple negative (TNBC). While the majority of mutPIK3CA samples were identified in HR+ disease, 10% of the cases occurred in TNBC. Within the mutPIK3CA cohort, tumor mutational burden high (TMB-H; defined as ≥10 mutations/MB) was detected in 11.5% of samples, while microsatellite instability high (MSI-H) was detected in 0.5%. MSI-H was detected at a higher frequency in TNBC compared to HR+. Overall, the most commonly co-mutated genes among mutPIK3CA, HER2- samples were TP53 (34.6%), CDH1 (21.6%), ESR1 (12.3%), KMT2C (11%), MAP3K1 (9.5%), ARID1A (8.1%), PTEN (6.8%), GATA3 (6.6%), NF1 (5.9%), and TBX3 (5.9%) among others (Table 1); some of these genes have previously been implicated in resistance to endocrine therapy or PI3K inhibitor. In addition, in HR+ disease, metastatic samples had a higher frequency of mutations in genes implicated in endocrine resistance, such as ESR1 (18.7% vs 1.9%), ERBB2 (3.3% vs 2.6%), NF1 (6.8% vs 2.6%), compared to primary tumors. We also identified copy number gains (CNG) in several cell cycle genes, including: CCND1 (15.2%), CDK4 (2.7%), and AURKA (2.6%) (Table 1). Finally, further analyses at the transcript-level are the subject of on-going research. Conclusions: Our study highlights that there is substantial genomic heterogeneity among mutPIK3CA, HER2- a/mBCs. Across a series of comparisons between primary and metastatic samples, as well as HR+ and TNBC subtypes, we identified a number of co-mutations that occur alongside mutPIK3CA and which could be potentially exploited by targeted therapies. Future studies are needed to assess the prognostic/predictive role of these and other candidate gene alterations. Table 1. Genomic features of mutPIK3CA, HER2– a/mBCPrimaryMetastaticTotalAny PIK3CA Mutation1255527782mutPIK3CA2204425629HER2– (n=176)HER2– (n=370)546HR+ HER2– 154 (88%)TNBC 22 (12%)HR+ HER2– 337 (91%)TNBC 33 (9%)TMB-H16 (10.3%)2 (9.1%)41 (12%)4 (12%)63 (11.5%)MSI-H1 (0.6%)1 (4.5%)0 (0%)1 (3.0%)3 (0.5%)Co-mutations (mutPIK3CA): n (%)TP5347 (30.5%)14 (63.6%)101 (30%)27 (81.8%)189 (34.6%)CDH137 (24%)1 (4.5%)75 (22.3%)5 (15.2%)118 (21.6%)KMT2C17 (11%)1 (4.5%)40 (11.9%)2 (6.1%)60 (11%)MAP3K117 (11%)1 (4.5%)31 (9.2%)1 (3%)50 (9.2%)ARID1A15 (9.7%)0 (0%)26 (7.7%)2 (6.1%)43(7.9%)PTEN12 (7.8%)1 (4.5%)21 (6.2%)3 (9.1%)37 (6.8%)GATA311 (7.1%)0 (0%)23 (6.8%)2 (6.1%)35 (6.6%)TBX311 (7.1%)1 (4.5%)19 (5.6%)1 (3%)32 (5.9%)NCOR12 (1.3%)1 (4.5%)18 (5.3%)0 (0%)21 (3.8%)FOXA17 (4.5%)2 (9.1%)10 (3%)1 (3%)20 (3.7%)MAP2K41 (0.6%)1 (4.5%)12 (3.6%)1 (3%)15 (2.7%)ESR13 (1.9%)0 (0%)63 (18.7%)1 (3%)67 (12.3%)PIK3R13 (1.9%)0 (0%)4 (1.2%)0 (0%)7 (1.3%)AKT11 (0.6%)0 (0%)1 (0.6%)0 (0%)2 (0.4%)RB15 (3.2%)1 (4.5%)8 (2.4%)1 (3%)15 (2.7%)NF14 (2.6%)3 (13.6%)23 (6.8%)2 (6.1%)32 (5.9%)ERBB24 (2.6%)4 (18.2%)11 (3.3%)2 (6.1%)21 (3.8%)CCND1 CNG22 (14%)0 (0%)61 (18%)0 (0%)83 (15.2%)AURKA CNG3 (1.9%)0 (0%)11 (3.3%)0 (0%)14 (2.6%)CDK4 CNG5 (3.2%)1 (4.5%)7 (2.1%)1 (3.0%)14 (2.6%)1any somatic variant detected in PIK3CA2somatic PIK3CA mutations among the 11 currently included in the alpelisib companion diagnostic (C420R, E542K, E545A, E545D, E545G, E545K, Q546E, Q546R, H1047L, H1047R, and H1047Y) Citation Format: Jing Xi, Kathleen Harnden, Jingqin Luo, Greg S. Call, Elizabeth Mauer, Karyn Ronski, Cynthia X. Ma, Neil Vasan. Genomic landscape of HER2-negative advanced or metastatic breast cancer with PIK3CA gain-of-function mutations [abstract]. In: Proceedings of the 2021 San Antonio Breast Cancer Symposium; 2021 Dec 7-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2022;82(4 Suppl):Abstract nr P3-09-04.

Abstract Background. The prognostic significance of bone marrow (BM) fibrosis grade in pts with primary myelofibrosis (PMF) is debated. A fibrosis grade greater than 1 was associated with a 2-fold higher risk of death compared with pts with early/prefibrotic MF (grade 0) [Thiele J, Ann Hematol 2006]. Recent data suggest that more accurate prediction of survival is achieved when fibrosis grade is added to IPSS [Verner C, Blood 2008; Giannelli U, Mod Pathol 2012]. Aim. To analyze the prognostic impact of fibrosis in diagnostic BM samples of 540 WHO-2008 diagnosed PMF pts with extensive clinical and molecular information collected in 6 Italian centers belonging to AGIMM (AIRC-Gruppo Italiano Malattie Mieloproliferative). Methods. The clinical variables assessed were those previously identified as prognostically relevant in the IPSS score. Published methods were used to screen mutations of JAK2, MPL, CALR, EZH2, ASXL1, IDH1/2 and SRSF2. European consensus scoring system was used to grade fibrosis (on a scale of MF-0 to MF-3). The prognostic value of fibrosis with regard to overall survival (OS) was estimated by Kaplan-Meier method and Cox regression. Results. Pts' median age was 61y; median follow-up 3.7y; median OS 10.5y; 184 pts (34.1%) died. IPSS risk category: low 33.7%, Int-1 27.7%, Int-2 19.1%, High-risk 19.5%. Mutational rate: JAK2 V617F 62.6%, CALR 20.7% (type-1/1-like 77.7%, type2/2-like-2 21.4%), MPL W515 5.9%; 62 (11.5%) were triple negative (TN). 171 pts (31.7%) were High-Molecular Risk (HMR) category (Vannucchi AM, Leukemia 2013); mutation rate: EZH2 7.2%, ASXL1 22.2%, IDH1-2 2.4%, SRSF2 8.3%. According to fibrosis grading, 50 pts were MF-0 (9.3%), 180 MF-1 (33.3%), 196 MF-2 (36.3%), 114 MF-3 (21.1%). Compared with both MF-0 and MF-1, MF-2 and MF-3 pts presented more frequently constitutional symptoms (P<.0001), larger splenomegaly (P<.0001), greater risk of developing anemia (P<.0001) or thrombocytopenia (P=.003). We found a significant association (P<.0001) between IPSS higher/Int-2 risk categories and MF-2 and -3 (20.5% and 37.8%, respectively, vs 14.8% and 6.0% for MF-0 and -1). There was no correlation between fibrosis grade and phenotypic driver mutations; in particular, TN pts were equally distributed among MF fibrosis grades (10%, 10.6%, 14.3% and 8.8% from MF-0 to -3, respectively). Conversely, the frequency of HMR pts increased progressively according to fibrosis grade: 8 pts MF-0 (16%), 46 MF-1 (25.6%), 66 MF-2 (33.7%) and 51 MF-3 (44.7%) (P<.0001). In particular, we found a significant association between fibrosis grade and ASXL1 (12%, 15%, 23.5% and 36% from MF-0 to -3; P<.0001) and EZH2 (2%, 3.9%, 8.2%, 13.2%; P=.01) mutations. Also, pts with 2 or more HMR mutated genes were preferentially MF-2 or -3 ( 0%, 4.4% 10.2% and 10.5% from MF-0 to -3; P=.001). Median OS was significantly shorter in pts with MF-2 (OS 6.7y, HR 7.3, IC95% 2.7-20.0; P<.0001) and MF-3 (OS 7.2y, HR 8.7, IC95% 3.1-24.2; P<.0001) compared with MF-1 (14.7y; HR 3.9, IC95% 1.4-10.9, P=.008) and MF-0 (P<.0001) used as reference group (OS not reached) (Figure). Excluding MF-0, MF-2 and -3 maintained negative prognostic impact with HR 1.9 (1.3-2.6; P=.001) and 2.2 (1.5-3.3; P<.0001) respectively vs MF-1. The impact of fibrosis on OS was maintained when analysis was restricted to younger (≤65y) pts. In multivariate analysis using the individual IPSS variables, grade MF-2 and -3 were independently predictive of survival (HR 3.9 (1.4-10.8), and HR 4.2 (1.5-12.0), respectively, P=.008 for both). The negative impact on survival of MF-2/-3 was maintained regardless of IPSS category, HMR status, number of HMR mutated genes and driver mutations, included as covariates (Table). In low, Int-1 and Int-2, but not high-risk IPSS categories, MF-2/-3 associated with reduced survival (P<.03). Conclusions. Overall, these results indicate that higher grades (MF-2 and MF-3) of fibrosis correlate with defined clinical and molecular variables and independently negatively impact on OS in PMF, suggesting the opportunity to explore its value in the setting of clinical and molecular prognostic scores for PMF. Table. Multivariate Analysis Variables HR 95% CI P value HMR status 2.4 1.5-3.7 <.0001 HMR≥2mutations 4.3 2.8-6.4 .009 IPSS scoring Int1 2.9 1.6-5.1 <.0001 Int2 10.0 5.6-17.7 <.0001 High 9.7 5.5-17.2 <.0001 Driver mutations CALR type2 3.4 1.3-8.6 .010 JAK2/MPL 2.4 1.4-4.3 .003 TN 4.5 2.3-8.8 <.0001 Fibrosis MF-2/MF-3 3.8 1.4-10.6 .010 Figure 1. Figure 1. Disclosures Passamonti: Novartis: Consultancy, Honoraria, Speakers Bureau. Barbui:Novartis: Speakers Bureau. Vannucchi:Shire: Speakers Bureau; Novartis: Other: Research Funding paid to institution (University of Florence), Research Funding; Baxalta: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau.

Abstract Background: Follicular lymphoma (FL) is the most frequent indolent lymphoma and is characterized by a high response to immunochemotherapy (ICT). However, patients refractory to first-line ICT have a worse prognosis. The objective of this study was to determine the prevalence of refractory FL, the factors that predict refractoriness as well as the salvage treatment and outcome. Patients and methods: This is a retrospective analysis including stage II-IV FL patients treated with first-line ICT in 3 Spanish institutions. The cohort was divided into ICT-refractory patients (less than partial response after induction or maintenance/consolidation therapy, as well as relapse or progression within 6 months of the last dose of therapy) and ICT-sensitive. Baseline features, therapy received and outcome were analyzed. Results: 283 patients were included, the median age was 58 years-old (range 28 to 85) and 53% were female. 200/231 (87%) had a good performance status (ECOG < 2), 260/295 (88%) presented with stages III and IV and 163/284 (57%) had bone marrow involvement. High-risk FLIPI score was seen in 108/256 (42%), high serum LDH in 78/263 (28%) and high serum B2-microglobulin in 138/253 (54%). RCHOP was administered to 226 (80%), RCVP to 36 (13%) and rituximab in combination with fludarabine or bendamustine-based therapy to 21 (7%). Seventeen patients received consolidation with radioimmunotherapy and 140 received maintenance with rituximab (n=137) or interferon (n=3). Sixteen patients received complementary radiotherapy. Forty-three (16%) patients were ICT-refractory (37 within 6 months of the completion of induction and 6 during or within 6 months of the completion of maintenance/consolidation therapy). On univariate analysis, high-risk FLIPI (OR 5.4, [95% CI 2.3-12.6]), high-risk FLIPI2 (5.4, [2.4-12.4]), B symptoms (3.2, [1.6-6.6]), ECOG ≥ 2 (4.6, [2-10.9]), involvement of > 4 nodal regions (2.3, [1.02-5.3]), hepatomegaly (7.5, [2.6-21.5]), splenomegaly (2.8, [1.4-5.9]), high B2-microglobulin (4, [1.7-9.5]), high serum LDH (3.9, [1.8-8]) and treatment with RCVP (compared with RCHOP, 2.8, [1.2-6.2]) were correlated with refractoriness. On multivariate analysis, high-risk FLIPI score (4.9, [2.1-11.7]) and treatment with RCVP (3.4, [1.2-9.4]) were the only variables associated with refractoriness. After exclusion of FLIPI, ECOG ≥ 2 (3, [1.1-8.4]) and high serum LDH (4.7, [2-11]) were correlated with refractoriness, in addition to RCVP therapy (4.5, [1.5-13.2]). Ten-year OS probabilities in ICT-sensitive and ICT-refractory patients were 83% (95% CI 76%-90%) and 33% (12%-54%), respectively (p<0.001) (Figure 1). ICT-refractory patients were more likely to be also refractory to second-line therapies than ICT-sensitive patients (21/31 [68%] vs 10/58 [17%], p<0.001). In addition, histological transformation was suspected by clinical or biological features or confirmed by tissue biopsy in 11/43 ICT-refractory and 8/240 ICT-sensitive (p<0.0001). Death among ICT-refractory patients was more frequently due to lymphoma than in ICT-sensitive patients (19/23 [83%] vs 14/28 [50%], p=0.033). Conclusions: In this series of FL treated with first-line ICT, the prevalence of refractoriness was low and occurred most frequently during or within 6 months of induction rather than maintenance/consolidation therapy. FLIPI score and RCVP treatment (compared to RCHOP) were predictive of refractoriness. The response rate of ICT-refractory FL patients to second-line therapy is low and the prognosis is poor. Supported in part by RD12/0036/0029 del RTICC, Instituto Carlos III. Figure 1. Overall survival in immunochemotherapy (ICT)-sensitive and ICT-refractory patients (p<001) Figure 1. Overall survival in immunochemotherapy (ICT)-sensitive and ICT-refractory patients (p<001) Disclosures Sancho: CELLTRION, Inc.: Research Funding. Sureda:Seattle Genetics Inc.: Research Funding; Takeda: Consultancy, Honoraria, Speakers Bureau.

Aims/Objectives/BackgroundGlobally, injuries cause more than 5 million deaths annually. Children and young people are a particularly vulnerable group and injuries are the leading cause of death in people aged 5–24 years globally and a leading cause of disability.In most low and middle-income countries where the majority of global child injury burden occurs, systems for routinely collecting injury data are limited. There is a continuing need for better data on childhood injuries and for injury surveillance.The aim of our study was to introduce a hospital-based injury surveillance tool – the first of its kind in Nepal and explore its feasibility. We undertook prospective collection of data on all injuries/trauma presenting to 2 hospital emergency departments to describe the epidemiology of paediatric hospital injury presentations and associated risk factors.Methods/DesignA new injury surveillance system for use in emergency departments in Nepal was designed and used to collect data on patients presenting with injuries. Data were collected prospectively in two hospitals 24 h a day over 12 months (April 2019 - March 2020) by trained data collectors using tablet computers.Abstract 432 Table 1Socio-demographic profile and characteristics of injury among children attending emergency of hospitals in Makwanpur district, Nepal, April 2019 – March 2020 (N=2696)CharacteristicsFrequencyGender Male 1778 Female 918 Age groups 0–4 years 653 5–9 years 866 10–14 years 680 15–17 years 497 Median year (IRQ) 8 (5 – 13) Ethnicity/caste Janajati 1384 Brahmin/Chhetri 892 Dalit 148 Madhesi 146 Muslim 74 Others 50 Unknown 2 Place where injury occurred Home/Compound 1576 Highway/road/street 636 School 233 Recreational area 138 Workplace 76 Other 37 Activities at the time injury occurred Leisure/Play 1889 Travelling (other than to/from school/work) 296 Work 202 Travelling (to/from school/work) 184 Education 42 Organised sports 11 Other 52 Unknown 20 Intent of injury Unintentional 2560 Intentional (self-harm) 61 Intentional (assault) 75 Unintentional (n=2560) Fall 912 Animal or insect related 728 Road traffic injury 356 Injured by a blunt force 201 Stabbed, cut or pierced 176 Fire, burn or scald 65 Poisoning 52 Suffocation/choking 36 Electrocution 12 Drowning and submersion 7 Other 13 Unknown 2 Self-harm (n=61) Poisoning 38 Hanging, strangulation, suffocation 12 Stabbed, cut or pierced 6 Injured by blunt object 4 Other 1 Assault (n=75) Bodily force (physical violence) 43 Injured by blunt object 18 Stabbed, cut or pierced 8 Pushing from a high place 2 Poisoning 2 Sexual assault 1 Other 1 Nature of injury (one most severe) Cuts, bites or open wound 1378 Bruise or superficial injury 383 Fracture 299 Sprain, strain or dislocation 243 Internal injury 124 Head Injury/Concussion 83 Burns 67 Other 115 Unknown 2 Not recorded 2 Severity of injury No apparent injury 125 Minor 1645 Moderate 813 Severe 111 Not recorded 2 Disposition Discharged 2317 Admitted to hospital 164 Transferred to another hospital 179 Died 21 Leave Against Medical Advice (LAMA) 11 Unknown 2 Not recorded 2 Note:Not recorded = missing cases95% CI calculated using one proportion test and normal approximation method in Minitab.Abstract 432 Table 2Distribution of injuries by age-group, sex and mechanism of injury among children attending emergency of hospitals in Makwanpur district, Nepal, April 2019 – March 2020Age groups & Sex0 - 4 years5 - 9 years10–14 years15–17 yearsMaleFemaleTotalIntent & mechanismsn (%)n (%)n (%)n (%)n (%)n (%)n (%)Unintentional Fall 239 (26.2) 328 (36.0) 249 (27.3) 96 (10.5) 636 (69.7) 276 (30.3) 912 (100) Animal or insect related 175 (24.0) 260 (35.7) 190 (26.1) 103 (14.1) 470 (64.6) 258 (35.4) 728 (100) Road traffic injury 49 (13.8) 108 (30.3) 86 (24.2) 113 (31.7) 223 (62.6) 133 (37.4) 356 (100) Injured by a blunt force 54 (26.9) 74 (36.8) 49 (24.4) 24 (11.9) 150 (74.6) 51 (25.4) 201 (100) Stabbed, cut or pierced 20 (11.4) 56 (31.8) 49 (27.8) 51 (29.0) 127 (72.2) 49 (27.8) 176 (100) Fire, burn or scald 42 (64.6) 10 (15.4) 9 (13.8) 4 (6.2) 27 (41.5) 38 (58.5) 65 (100) Poisoning 33 (63.5) 6 (11.5) 5 (9.6) 8 (15.4) 26 (50.0) 26 (50.0) 52 (100) Suffocation/choking 24 (66.7) 5 (13.9) 2 (5.6) 5 (13.9) 20 (55.6) 16 (44.4) 36 (100) Electrocution 2 (15.7) 0 (0.0) 3 (25.0) 7 (58.3) 10 (83.3) 2 (16.7) 12 (100) Drowning and submersion 1 (14.3) 1 (14.3) 3 (42.9) 2 (28.6) 3 (42.9) 4 (57.1) 7 (100) Other 6 (46.2) 4 (30.8) 3 (23.1) 0 (0.0) 10 (76.9) 3 (23.1) 13 (100) Unknown 2 (100) 0 (0.0) 0 (0.0) 0 (0.0) 0 (0.0) 2 (100) 2 (100) Total 647 (25.3) 852 (33.3) 648 (25.3) 413 (16.1) 1702 (66.5) 858 (33.5) 2560 (100) Self-harm Poisoning 0 (0.0) 0 (0.0) 6 (15.8) 32 (84.2) 7 (18.4) 31 (81.6) 38 (100) Hanging 0 (0.0) 0 (0.0) 3 (25.0) 9 (75.0) 4 (33.3) 8 (66.7) 12 (100) Stabbed, cut or pierced 0 (0.0) 0 (0.0) 2 (33.3) 4 (66.7) 1 (16.7) 5 (83.3) 6 (100) Injured by blunt object 0 (0.0) 2 (50.0) 2 (50.0) 0 (0.0) 4 (100) 0 (0.0) 4 (100) Other 0 (0.0) 0 (0.0) 0 (0.0) 1 (100) 1 (100) 0 (0.0) 1 (100) Total 0 (0.0) 2 (3.3) 13 (21.3) 46 (75.4) 17 (27.9) 44 (72.1) 61 (100) Assault Bodily force (physical violence) 3 (7.0) 1 (2.3) 11 (25.6) 28 (65.1) 37 (86.0) 6 (14.0) 43 (100) Injured by blunt object 2 (11.1) 8 (44.4) 4 (22.2) 4 (22.2) 13 (72.2) 5 (27.8) 18 (100) Stabbed, cut or pierced 1 (12.5) 0 (0.0) 2 (25.0) 5 (62.5) 7 (87.5) 1 (12.5) 8 (100) Pushing from a high place 0 (0.0) 1 (50.0) 1 (50.0) 0 (0.0) 1 (50.0) 1 (50.0) 2 (100) Poisoning 0 (0.0) 1 (50.0) 0 (0.0) 1 (50.0) 1 (50.0) 1 (50.0) 2 (100) Sexual assault 0 (0.0) 0 (0.0) 1 (100) 0 (0.0) 0 (0.0) 1 (100) 1 (100) Other 0 (0.0) 1 (100) 0 (0.0) 0 (0.0) 0 (0.0) 1 (100) 1 (100) Total 6 (8.0) 12 (16.0) 19 (25.3) 38 (50.7) 59 (78.7) 16 (21.3) 75 (100) Abstract 432 Table 3Association of injury location, nature and severity with age among children attending emergency of hospitals in Makwanpur district, Nepal, April 2019 – March 2020Age groups0 – 4 years5 – 9 years10–14 years15–17 yearsTotalChi-SquareInjury characteristicsn (%)n (%)n (%)n (%)n (%)P valueLocation of injury sustained Home/Compound 537 (34.1) 504 (32.0) 319 (20.2) 216 (13.7) 1576 (100) <0.001 Highway/road/street 85 (13.4) 196 (30.8) 190 (29.9) 165 (25.9) 636 (100) School 15 (6.4) 107 (45.9) 85 (36.5) 26 (11.2) 233 (100) Recreational area 9 (6.5) 44 (31.9) 55 (39.9) 30 (21.7) 138 (100) Workplace 1 (1.3) 4 (5.3) 19 (25.0) 52 (68.4) 76 (100) Other 6 (16.2) 11 (29.7) 12 (32.4) 8 (21.6) 37 (100) Total 653 (24.2) 866 (32.1) 680 (25.2) 497 (18.4) 2696 (100) Nature of injury Cuts, bites or open wound 328 (23.8) 506 (36.7) 314 (22.8) 230 (16.7) 1378 (100) <0.001 Bruise or superficial injury 81 (21.1) 99 (25.8) 118 (30.8) 85 (22.2) 383 (100) Fracture 48 (16.1) 101 (33.8) 112 (37.5) 38 (12.7) 299 (100) Sprain, strain or dislocation 48 (19.8) 78 (32.1) 72 (29.6) 45 (18.5) 243 (100) Internal injury 44 (35.5) 8 (6.5) 18 (14.5) 54 (43.5) 124 (100) Head Injury/Concussion 18 (21.7) 26 (31.3) 18 (21.7) 21 (25.3) 83 (100) Burns 42 (62.7) 9 (13.4) 10 (14.9) 6 (9.0) 67 (100) Other 41 (35.7) 38 (33.0) 18 (15.7) 18 (15.7) 115 (100) Unknown 2 (100) 0 (0.0) 0 (0.0) 0 (0.0) 2 (100) Total 652 (24.2) 865 (32.1) 680 (25.2) 497 (18.4) 2694 (100) Severity of injury No apparent injury 39 (31.2) 45 (36.0) 26 (20.8) 15 (12.0) 125 (100) <0.001 Minor 419 (25.5) 535 (32.5) 406 (24.7) 285 (17.3) 1645 (100) Moderate 171 (21.0) 262 (32.2) 225 (27.7) 155 (19.1) 813 (100) Severe 23 (20.7) 23 (20.7) 23 (20.7) 42 (37.8) 111 (100) Total 652 (24.2) 865 (32.1) 680 (25.2) 497 (18.4) 2694 (100) Abstract 432 Table 4Association of injury location, nature and severity with sex among children attending emergency of hospitals in Makwanpur district, Nepal, April 2019 – March 2020SexMaleFemaleTotalChi-SquareInjury characteristicsn (%)n (%)n (%)P valueLocation of injury sustained Home/Compound 979 (62.1) 597 (37.9) 1576 (100) <0.001 Highway/road/street 421 (66.2) 215 (33.8) 636 (100) School 176 (75.5) 57 (24.5) 233 (100) Recreational area 111 (80.4) 27 (19.6) 138 (100) Workplace 62 (81.6) 14 (18.4) 76 (100) Other 29 (78.4) 8 (21.6) 37 (100) Total 1778 (65.9) 918 (34.1) 2696 (100) Nature of injury Cuts, bites or open wound 959 (69.6) 419 (30.4) 1378 (100) <0.001 Bruise or superficial injury 246 (64.2) 137 (35.8) 383 (100) Fracture 200 (66.9) 99 (33.1) 299 (100) Sprain, strain or dislocation 154 (63.4) 89 (36.6) 243 (100) Internal injury 50 (40.3) 74 (59.7) 124 (100) Head Injury/Concussion 59 (71.1) 24 (28.9) 83 (100) Burns 27 (40.3) 40 (59.7) 67 (100) Other 79 (68.7) 36 (31.3) 115 (100) Unknown 2 (100) 0 (0.0) 2 (100) Total 1776 (65.9) 918 (34.1) 2694 (100) Severity of injury No apparent injury 81 (64.8) 44 (35.2) 125 (100) 0.048 Minor 1102 (67.0) 543 (33.0) 1645 (100) Moderate 533 (65.6) 280 (34.4) 813 (100) Severe 60 (54.1) 51 (45.9) 111 (100) Total 1776 (65.9) 918 (34.1) 2694 (100) Abstract 432 Table 5Distribution of injuries by outcome and mechanism of injury among children attending emergency of hospitals in Makwanpur district, Nepal, April 2019 – March 2020Outcome of injuryDischargedAdmittedTransferredDiedLAMAUnknownTotalIntent & mechanismsn (%)n (%)n (%)n (%)n (%)n (%)n (%)Unintentional Fall 787 (86.5) 65 (7.1) 53 (5.8) 0 (0.0) 4 (0.4) 1 (0.1) 910 (100) Animal/insect bite/sting 704 (96.7) 3 (0.4) 19 (2.6) 0 (0.0) 1 (0.1) 1 (0.1) 728 (100) Road traffic injury 260 (73.0) 47 (13.2) 44 (12.4) 5 (1.4) 0 (0.0) 0 (0.0) 356 (100) Injured by a blunt force 190 (94.5) 4 (2.0) 6 (3.0) 0 (0.0) 1 (0.5) 0 (0.0) 201 (100) Stabbed, cut or pierced 165 (93.8) 8 (4.5) 3 (1.7) 0 (0.0) 0 (0.0) 0 (0.0) 176 (100) Fire, burn or scald 52 (80.0) 12 (18.5) 1 (1.5) 0 (0.0) 0 (0.0) 0 (0.0) 65 (100) Poisoning 30 (57.7) 4 (7.7) 16 (30.8) 1 (1.9) 1 (1.9) 0 (0.0) 52 (100) Suffocation/choking/asphyxia 24 (66.7) 4 (11.1) 6 (16.7) 1 (2.8) 1 (2.8) 0 (0.0) 36 (100) Electrocution 7 (58.3) 2 (16.7) 2 (16.7) 1 (8.3) 0 (0.0) 0 (0.0) 12 (100) Drowning and submersion 4 (57.1) 0 (0.0) 0 (0.0) 3 (42.9) 0 (0.0) 0 (0.0) 7 (100) Other 12 (92.3) 1 (7.7) 0 (0.0) 0 (0.0) 0 (0.0) 0 (0.0) 13 (100) Unknown 2 (100) 0 (0.0) 0 (0.0) 0 (0.0) 0 (0.0) 0 (0.0) 2 (100) Total 2237 (87.5) 150 (5.9) 150 (5.9) 11 (0.4) 8 (0.3) 2 (0.1) 2558 (100) Self-harm Poisoning 5 (13.2) 8 (21.1) 23 (60.5) 0 (0.0) 2 (5.3) 0 (0.0) 38 (100) Hanging 1 (8.3) 0 (0.0) 1 (8.3) 10 (83.3) 0 (0.0) 0 (0.0) 12 (100) Stabbed, cut or pierced 6 (100) 0 (0.0) 0 (0.0) 0 (0.0) 0 (0.0) 0 (0.0) 6 (100) Injured by blunt object 4 (100) 0 (0.0) 0 (0.0) 0 (0.0) 0 (0.0) 0 (0.0) 4 (100) Other 1 (100) 0 (0.0) 0 (0.0) 0 (0.0) 0 (0.0) 0 (0.0) 1 (100) Total 17 (27.9) 8 (13.1) 24 (39.3) 10 (16.4) 2 (3.3) 0 (0.0) 61 (100) Assault Bodily force (physical violence) 34 (79.1) 5 (11.6) 3 (7.0) 0 (0.0) 1 (2.3) 0 (0.0) 43 (100) Injured by blunt object 18 (100) 0 (0.0) 0 (0.0) 0 (0.0) 0 (0.0) 0 (0.0) 18 (100) Stabbed, cut or pierced 6 (75.0) 1 (12.5) 1 (12.5) 0 (0.0) 0 (0.0) 0 (0.0) 8 (100) Pushing from a high place 2 (100) 0 (0.0) 0 (0.0) 0 (0.0) 0 (0.0) 0 (0.0) 2 (100) Poisoning 1 (50) 0 (0.0) 1 (50.0) 0 (0.0) 0 (0.0) 0 (0.0) 2 (100) Sexual assault 1 (100) 0 (0.0) 0 (0.0) 0 (0.0) 0 (0.0) 0 (0.0) 1 (100) Other 1 (100) 0 (0.0) 0 (0.0) 0 (0.0) 0 (0.0) 0 (0.0) 1 (100) Total 63 (84.0) 6 (8.0) 5 (6.7) 0 (0.0) 1 (1.3) 0 (0.0) 75 (100) Abstract 432 Figure 1Seasonal variation of injuries identified by the injury surveillance system over a year among children attending emergency of hospitals in Makwanpur district, Nepal, April 2019 – March 2020Results/ConclusionsThe total number of ED patients with injury in the study was 10,154.2,696 were patients aged <18 years. Most injuries in children were unintentional and over half of children presenting with injuries were <10 years of age. Falls, animal bites/stings and road traffic injuries accounted for nearly 75% of all injuries with some (drowning, poisonings and burns) under-represented. Over half of injuries were cuts, bites and open wounds. The next most common injury types were superficial injuries (14.2%); fractures (11.1%); sprains/dislocations (9.0%). Child mortality was 1%.This is the biggest prospective injury surveillance study in a low or middle country in recent years and supports the use of injury surveillance in Nepal for reducing child morbidity and mortality through improved data.CHILD PAPER: RESULTS SECTIONTotal number of ED patients: 33046Total number of ED patient with injury: 10154 (adult=7458 & children=2696)8.2% (n=2696) patients with injury were children aged <18 yearsHetauda hospital: 2274 (84.3%)Chure hill hospital: 422 (15.7%)

Background:Most autoimmune diseases are more prevalent in women. Symptom severity, disease progression, response to therapy and overall survival differ between males and females with rheumatic diseases.Objectives:To identify the characteristics of autoimmune diseases presentation and treatment between male and female population using information from the Mexican Adverse Events Registry (BIOBADAMEX).Methods:BIOBADAMEX is a Mexican ongoing cohort that collects the information of patients using biologic and biosimilar drugs since 2016. For this study we included all patients enrolled in the registry and compared baseline clinical and disease characteristics, treatment and presence of adverse events between genders. We used logistic regression to analyze univariable associations.Results:A total of 655 participants were analysed, of which 82% were female (Table 1). We found women were older with a median of 53 years compared to 46 years in men (OR 1.02, CI 1.0-1.1). Smoking was higher in men (16%) compared to women (5%), (OR 0.3, CI 0.2-0.6). Women had longer disease duration, 9 years compared to 7 years in men (OR 1, CI 1.0-1.1). Rheumatoid arthritis (RA) was more prevalent in women (OR 2.7, CI 1-6.9), while ankylosing spondylitis (AS) and psoriatic arthritis (PsA) were more prevalent in men (OR 0.2, CI 0.1-0.4, and OR 0.3, CI 0.1-0.9 respectively). Women had more comorbidities than men (OR 1.8, CI 1.1-2.8) and used steroids more frequently (OR 1.7, CI 1.1-2.7). Differences in disease activity were not found, however we noticed high activity scores among participants.Table 1.Baseline characteristics in the cohort by sexWomenn=532 (82%)Menn=123 (18%)UnivariableaOR(95%CI)Age, median (IQR)53 (44-60)47 (34-55)1.02 (1.0-1.1)*Body Mass Index, median (IQR)27 (23-31)26 (23-30)1.0 (0.9-1.1)Smoking, n(%)28 (5)18 (16)0.3 (0.2- 0.6)*Disease duration, median (IQR)9 (4-16)7 (2-13)1.0 (1.0-1.1)*Diagnosis, n(%): RA414 (78)37 (30)2.4 (1.0-5.7)* AIJ12 (2)5 (4)0.5 (0.1-1.9) AS37 (7)56 (46)0.1 (0.1-0.4)* PsA19 (4)15 (12)0.3 (0.1-0.8)* SLE17 (3)3 (2)1.2 (0.3-5.2) Others33 (6)7 (6)1Disease Activity indexes, median (IQR) DAS28a4.9 (3.6-5.9)4.9 (3.0-5.9)1.1 (0.9-1.3) BASDAIb4.8 (2.9-8)5.3 (2.8-7.5)0.9 (0.8- 1.1) ASDASc3.2 (1.9-4.5)3.9 (2.5-4.7)0.8 (0.6-1.2) SLEDAId14.5 (5.0-19.5)25 (25.0-31.0)0.6 (0.4-1.1)High blood pressure, n(%)77 (15)14 (12)1.3 (0.7-2.4)Diabetes mellitus, n(%)46 (9)7 (6)1.5 (0.7-3.5)High cholesterol, n(%)41 (8)8 (7)1.2 (0.4-2.6)Other comorbidities, n(%):173 (33)26 (21)1.8 (1.1 -2.8)*Use of previous biologic, n(%):216 (40)44 (36)1.2 (0.8- 1.8)Use of steroids, n(%):215 (42)34 (29)1.7 (1.1 -2.7)*Use of DMARD, n(%):418 (79)89 (72)1.4 (0.9-2.2)Adverse eventsb, n(%):69 (13)14 (11)1.2 (0.7-2.1) Severeb, n(%):12 (17)3 (21)0.8 (0.2-3.1)Univariable logistic regression analysis. *p<0.05.an=469,bn=99,cn=71,dn=19,Table 1.Analysis of association between change (Δ) in FMD and relevant parameters by univariate and multivariate linear regression analysis.UnivariateRho (p)MultivariateBeta (p)Δ FMD (%)(r2=0.30)ChangeADMA (µmol/l)-0.63 (<0.001)-0.25 (0.01)MDA (nmol/ml)-0.58 (<0.001)-0.18 (0.02)SOD (U/ml)0.48 (<0.001)NSGSH (U/ml)0.02 (0.75)NSHOMA-0.21 (0.001)NSeGFR (ml/min/ 1.73 m2)-0.03 (0.62)NShsCRP (mg/l)-0.45 (<0.001)NSPTX3 (ng/ml)-0.49 (<0.001)-0.21 (0.01)SBP (mmHg)-0.26 (<0.001)NSDBP (mmHg)-0.11 (0.12)NSHemoglobin (g/dl)0.07 (0.32)NSTotal Cholesterol (mg/dl)-0.05 (0.49)NSTriglyceride (mg/dl)-0.11 (0.12)NSLDL (mg/dl)-0.12 (0.07)NSHDL (mg/dl)0.02 (0.82)NSHbA1c (%)-0.26 (<0.001)NSFigure 1.Scatter-plot graphs between FMD and ADMA, MDA, CuZn-SOD, PTX-3.Conclusion:In our study we found sex differences regarding age and disease duration, being higher in women. As expected, the prevalence of RA was higher in women and AS and PsA in men. Overall, women used more steroids than men. An interesting finding was that patients had high disease activity. Future longitudinal analyses will allow us to analyse sex differences in disease progression and treatment response.References:[1] Ortona E et al. Ann Ist Super Sanita 2016;52(2):205-12[2] Ngo ST et al. Front Neuroendocrinol 2014;3(3):347-69Disclosure of Interests:Vijaya Rivera Teran: None declared, Deshire Alpizar-Rodriguez: None declared, Sandra Sicsik: None declared, Fedra Irazoque-Palazuelos Consultant of: Bristol-Myers Squibb, Janssen, Pfizer Inc, Roche and UCB, Dafhne Miranda: None declared, David Vega-Morales: None declared, Julio Cesar Casasola: None declared, Sandra Carrilo: None declared, angel castillo: None declared, Sergio Duran Barragan: None declared, Omar Muñoz: None declared, Aleni Paz: None declared, Angélica Peña: None declared, Alfonso Torres: None declared, Daniel Xavier Xibille Friedmann Consultant of: Lilly, Abbvie, Speakers bureau: Lilly, Abbvie, Azucena Ramos: None declared, José Francisco Moctezuma: None declared, Francisco Aceves: None declared, Estefania Torres: None declared, Natalia Santana: None declared, Miguel Vazquez: None declared, Erick Zamora: None declared, Francisco Guerrero: None declared, Claudia Zepeda: None declared, Melanea Rivera: None declared, Kitzia Alvarado: None declared, Cesar Francisco Pacheco Tena: None declared

e20555 Background: We conducted a randomized trial comparing a brief baseline pain educational intervention with the addition of either a hot line for pain related issues or weekly calls from health providers to assess pain and medication use. Results of this trial have been previously reported (J Pain Symptom Manage. 2003 Apr;25(4):344-56). Caregiver beliefs may impact patient compliance with pain treatment so caregivers also received pain education. As a secondary endpoint we investigated caregiver beliefs related to: 1) known barriers to compliance with pain medication (feasibility of pain control, addiction concerns, fears of overdose and toxicity), 2) perceptions regarding patient pain level, 3) distress related to patient pain, and 4) efficacy in helping control patient pain. Methods: 28 informal caregivers completed the Family Pain Questionnaire (part 1: 8 items related to beliefs, part 2: 6 items related to pain perceptions). All items were scored using a 10cm visual analogue scale. Questionnaires were completed at baseline, immediately and 1 month post-education. Results: Caregiver characteristics: 64% married, 54% ≤ high school education. The caregiver pain belief subscale mean score was 4.9 (SD 1.7) at baseline, 5.6 (SD 1.4) post-education and 5.9 (SD 0.9) at 1 month indicating improved beliefs over time (p=.001). Caregivers consistently rated pain higher than patients (baseline: M=6.7 (SD=2.6) vs. M=4.1 (SD=2.3), p<0.001, 1-Month: M=5.1 (SD=3.2) vs. M=3.4 (SD=2.7), p=0.003). They also reported more distress related to pain than patients . Distress among caregivers due to patient pain was high at baseline (median=8.4, IQR: 5.6-9.5), and remained high at 1 month (median=7.7, IQR: 4.7-9.3). While not statistically significant, caregiver perception of ability to relieve pain improved from baseline (median=4.6, IQR: 0.8-8.3) to 1 month (median=2.4, IQR: 1.2-4.5, p=0.115). Conclusions: Despite improvements in caregiver beliefs regarding barriers to good pain control, decrease in levels of patient pain, and improved self-efficacy in assisting with pain control, caregiver distress related to patient pain remained high. Future research should be focused on further characterizing the factors that contribute to caregiver distress.

Background. Inflammation of the hip joints in ankylosing spondylitis (AS) is a frequent and severe manifestation of the disease, which in 7–8 % of patients is accompanied by the requirements of hip joints prosthesis. In the treatment of hip arthritis associated with AS non-steroidal anti-inflammatory drugs (NSAIDs), sulfasalazine (SSZ) and tumor necrosis factor-alpha blockers were used. However, the influence of these treatment on the dynamics of structural changes in hip joints is not studied.Purpose. To evaluate the dynamics of clinical, radiologic and ultrasonographic indices of hip joints in patients with AS who take different treatment methods for 12 months: NSAIDs, SSZ and adalimumab (ADA).Materials and methods. Dynamic monitoring of 78 patients with AS (corresponding to the New York modified criteria of 1984), who also had clinical, ultrasonographic and radiographic signs of inflammation of hip joints. The patients were divided into three groups: patients of the group 1 (n = 25) were been receiving NSAIDs; patients of group 2 (n = 26) had started to take SSZ (2–3 grams per day) on background of NSAIDs; patients of group 3 (n = 27) were started to take ADA (subcutaneously, 40 mg once every 2 weeks) on the background of NSAID. In addition to the generally accepted clinical and laboratory studies, all patients were being underwent by X-ray examination with an evaluation of the BASRI-Hip index and ultrasonography of hip joints during 12 months of follow-up.Results and discussion. In patients of group 2 treatment with SSZ during 12 months had been resulted in a decrease in the severity of pain from the visual analogue scale (VAS) at hip joint motion (26.1 [13.9, 42.7] vs 69.3 [56.8, 79, 3]), CRP (4.4 [1.5, 6.9] mg/L vs 15.2 [8.3, 21.8] mg/L) and a decrease in the thickness of the hip synovial membrane (6.7 [5.8, 8.5] mm vs 9.6 [7.9, 11.8] mm) compared with the initial data. In patients of the group 3 treatment with ADA had been lead to decreasing of pain VAS (14.2 [5.2, 26.7], vs. 72.1 [65.3, 89.1], BASDAI and ASDASCRP (1.7 [1.1, 3.1] and 1.4 [1.1, 2.2] vs. 7.5 [5.9, 8.6] and 3.1 [2.6, 3.9]), CRP (2.7 [0.2, 5.8] mg/L vs. 24.3 [17.4, 35.9]) and decrease in the thickness of hip synovial membrane (6.3 [5.0, 7.7] mm vs. 9.9 [8.1, 12.6] mm) and an increase of the thickness of the hyaline cartilage covering the head of the femur in comparison with group 1 (0.15 [0.09; 0.22] mm vs. —0.08 [–0.12, —0.04] mm). The effect of both drugs on the dynamics of the radiographic index BASRI-Hip and the formation of new osteophytes in hip joints was not noted.Conclusion. Inclusion of SSZ and ADA in a complex of treatment of patients with hip arthritis associated with AS leads to a decrease of synovitis of hip joints. Usage of ADA is accompanies by ultrasonographic signs of the restoration of hip joints cartilage.

Abstract Background: Chronic Lymphocytic Leukemia (CLL) patients (pts) have significant (sig) heterogeneity; survival ranges from decades to <5 years (yrs). Allogeneic hematopoietic stem cell transplantation (allo-HSCT) is promising treatment (tx) for high-risk pts. Ideally, predictive (pred) tools would allow clinicians to recognize such pts early, permitting transplant performance to maximize benefit and minimize procedure associated risk. Factors with significant (sig) pred capacity are not, however, entirely clarified. Moreover, limited studies compare CLL pts who have/have not received HSCT in terms of differences (diff) in characteristics (char) at diagnosis (dx), population (pop) composition and outcomes. This study evaluates pred factors for outcomes post allo-HSCT, and compares dx char between (bn) tx CLL pts who did /did not receive HSCT by evaluating a large pop-based CLL cohort (n= 1044) from the BC Provincial CLL Database (BCPCD). Methods: 102 CLL pts (71M, 31F) had consecutive allo-HSCT (01-91 to 03-13, L/BMT Program of BC). Median (med) age (range) at dx:HSCT was 50 (26-65):57 (32-68) yrs; med interval dx to HSCT 5.8 yrs (0.5 to 29). Most pts (78, 76%) received non-ablative therapy; (n=61 [60%] reduced-intensity fludarabine /busulfan [flu/bu] based [RIC], n=17 [17%] non-myeloablative flu-cyclophosphamide based [NMA]); 24 pts had myeloablative (MA) conditioning (CON). Donor status was 50% unrelated (UD) (51UD:51RD); 73M, 28 F. Results: With median (med) follow up (FU) (range) post allo-HSCT of 2 yrs (0.5-18); post dx of 9 yrs (1-38), 67 (50%) pts survive. 70 (69%) achieved CR post-HSCT a med of 187 (28-1274) days (d). 27 had CLL PROG a med of 339 (25-4367) d; 18 of 27 (67%) survive a med of 3 (0.5-18) yrs post HSCT. Factors pred OS post HSCT (KM p=; UVA HR=) (p<0.05) were: pre-HSCT FISH deletion 17p (del 17p) (0.005; 2.9), Dohner rank (0.02), HSCT specific comorbidity index (CoI) >3 vs. 0-2 (0.04; 2.5), HLA mismatched (MM) donor (0.03;2.3), pre-HSCT tx with alemtuzumab (alem) (0.005;3.0), CON (MA vs NMA or RIC) (0.046; 3.0), acute (A) graft vs host disease (GVHD) grade (g) 3-4 vs 0-2. (<0.001; 4.5), dn chim <90% (0.001; 5.2), abn FISH not clear post-HSCT (0.009; 2.6), yr of HSCT (pre- vs post-2010) (0.03; 3.13) and lack of CR post HSCT (<0.001; 10.5).The following sig pred for (OR; p=): >90% dn chim: no B symptoms at dx (2.5; 0.004), CON (RIC vs. NMA, (2.6; 0.006); clear FISH abn post-HSCT: CR post-HSCT (4.6; 0.004); CR post-HSCT: B symptoms at dx (0.4; 0.02), <=1 FISH abn (1.7; 0.045), rituximab (R) pre-HSCT (2.5; 0.001), clear FISH abn (2.5; 0.01), flu sensitivity (S) pre-HSCT (1.8; 0.03), S to last tx pre-HSCT (1.7; 0.03), CON (MA vs. RIC or NMA) (3.2; <0.001); PROG: Richter’s transformation ( Rich trans) pre-HSCT (3.5; 0.008), graft failure (3.3; 0.008), CoI >3 vs. 0-2 (6.9; 0.006), no R pre-HSCT (6.7; 0.01), CON (MA vs. NMA or RIC), (0.2; 0.03); NRM: pre-HSCT alem (2.7; 0.03), CoI >3 vs. 0-2 (2.7; 0.049), HLA MM (2.8; 0.01), CON (MA vs. rest) (3.0; 0.007), AGVHD g 3-4 vs. 0-2 (5.9; <0.001), FISH abn not clear (2.6; 0.04), and no CR (6.5; <0.001). Comparison bn allo-HSCT and BCPCD CLL pts showed sig diff at dx for Dohner FISH rank: more del 17p (23% vs.11%) and 11q (23% vs. 9%) in allo-HSCT pts (n=84 with pre-HSCT FISH); less +12 (13% vs. 17%), del 13q (24% vs.41%) or normal (22% vs 18%), p<0.001 than non-HSCT pts (n=952); Age at dx (med, range) was lower in HSCT (50, 26-65) vs non (62, 25-96), p<0.001; lymphocyte (lymph) count higher (14, 1-300 vs.11, 1-662, p=0.03), tx-free survival (TFS) from dx to 1st tx shorter at 0.75 (0-9.3) vs. 2.86 (0-20.6) yrs. Rich trans was more frequent in HSCT pts (8%) vs. non (3%), p=0.015.OS was sig better for HSCT pts (n=103) (med 17.6, SE 4.5, CI 95% 8.8-26) compared to non (n=494) (med 14.4, SE 1.1, CI 95% 12.1-16.6) (p=0.03). Conclusion: CLL allo-HSCT pts have sig diff than non including higher lymph at dx, shorter time to 1st tx, and higher risk FISH abn. 17p del remains high-risk with allo-HSCT. Pre-HSCT R increased post HSCT CR. Strategies to optimize post-HSCT CR and dn chim are important; these milestones are crucial to best outcome. PROG post-HSCT does not confer worse OS; rescue strategies are successful and deserve further study. Comparison of this large allo HSCT and pop-based BPCDB cohort indicate improved OS for allo-HSCT tx CLL pts vs. other, with a survival plateau. This data indicates early recognition of high-risk CLL patients for HSCT is likely to yield best long-term outcome. Figure 1 Figure 1. Figure 2 Figure 2. Disclosures No relevant conflicts of interest to declare.

Abstract Introduction Since the landmark study of Omura et al. (Blood 1980;55:199), validating cranial irradiation as an adjunct to intrathecal (IT) methotrexate, no other randomized trial of CNS prophylaxis was performed in adult ALL. Although the risk of CNS relapse is now only 1-4%, irradiation contributes to cumulative CNS toxicity together with high-dose methotrexate/cytarabine (HD-M/A), or is logistically difficult, so that developing an effective radiation-free CNS prophylaxis remains an important clinical task. IT DepoCyte® (ITD) might be advantageous, the slow release of liposome-associated cytarabine allowing therapeutic concentrations in the cerebrospinal fluid for 14+ days. An open trial reported prohibitive CNS toxicity from ITD in 6/31 patients (Jabbour et al. Blood 2007;109:3214), but ITD to ITD and HD-M/A to ITD intervals were short (14 and 10 days, respectively) and no patient suffered from CNS relapse. Methods In a phase II randomized trial (ClinicalTrials.gov NCT-00795756) we evaluated toxicity and feasibility (as primary study endpoint) of ITD 50 mg in comparison with IT triple therapy (ITT: methotrexate 12,5 mg, cytarabine 50 mg, prednisone 40 mg). Stratification was by cell lineage and risk class. ITT was given on d1 of courses 1,2,4,6,8; d15 of courses 1,2,8; and d1 of maintenance cycles 2-5 (12x). ITD was given on d1 of courses 1,2,4,6,8; d15 of courses 1,8 (T-ALL only); and d1 of maintenance cycle 2 (6-8x). The shortest ITD to ITD interval was 14 days in T-ALL (courses 1-2 [3x] and 8 [2x]), otherwise it was 21 days between ITD and any prior/subsequent ITD and HD course. ALL therapy consisted of eight induction-consolidation courses followed by risk/minimal residual disease-oriented maintenance or stem cell transplantation (SCT). In HD courses 3,7 (M/A) and 5 (M/Asparaginase) M dosage was 2.5 g/m2 (Ph- B-ALL) and 5 g/m2 (T-ALL) up to 55 years, and A 2 g/m2. Imatinib was used with de-intensified chemotherapy in Ph+ ALL; selected high-risk subsets received early SCT. Results Between 2007-12 201 total patients were enrolled and 141 randomized to ITT (n=73) or ITD (n=68). Median age was 42 years (range 18-68) and risk subsets (ITT/ITD) were SR-B 27.4%/29.4%; HR-B Ph- 26%/25%, Ph+ 23.3%/22.1%, SR-T 5.5%/5.9%, HR-T 17.8%/17.7%. Complete remission was 89% (n=65)/89.7% (n=61). Rates of actual v planned IT injections during induction-consolidation cycles 1-8, after removal of study losses (resistance, early death, SCT, toxicity and relapse), were ITT 374/415 (90.1%) v ITD 219/245 (89.3%) (P=0.76). Although toxicity/medical reasons caused 5 ITD patients to discontinue permanently the study v none in ITT arm (P=0.02), toxicity-driven omissions of IT therapy were marginally increased in ITD arm (29/415 [6.9%] v 24/245 [9.8%]; P=0.20). Neurologic toxicity occurred in 20 (27.4%) ITT v 36 (53%) ITD patients, respectively (P=0.002). According to NCI CTC grading (G), neurotoxicity episodes were GI 7 v 10 (P=0.36), GII 13 v 32 (P=0.003), GIII 4 v 12 (P=0.04), GIV 1 v 5 (P=0.12). GIII-IV neurotoxicity developed in 5/73 (6.8%) ITT patients v 10/52 (19.2%) and 5/16 (31.2%) B- and T-ALL ITD patients, respectively (P= 0.01), correlating in T-ALL with the second/third q14d ITD at courses 1,2,8 (4/5 patients, 5/6 episodes). Apart from reversible headache/radicular pain, the most serious toxicity occurred in 3 (4.1%) ITT patients (seizures 1; leukoencephalopathy 1; loss of consciousness 1) v 5 (7.3%) ITD patients (loss of consciousness 4, 1 with seizures; cerebral oedema/pseudotumor cerebri 1) (P=0.48). Four-year overall and disease-free survival were 54% and 52.2% v 58.9% and 47.7% in ITT and ITD arms, respectively, and relapse rate was 32.3% v 24.6% (all P=NS). In ITT arm there were 2 (3%) CNS and 2 (3%) combined CNS/marrow relapses. In ITD arm only one poorly compliant subject not given any HD course had an isolated CNS relapse (1.6%); no other patient had a CNS recurrence. Conclusion A radiation-free CNS prophylaxis with six spaced ITD in conjunction with HD-M/A may be feasible and at least as effective as other regimens. Excluding reversible headache/radiculitis, serious CNS toxicity was not significantly increased compared with ITT regimen, although some patients were forced to discontinue IT prophylaxis. The occasionally severe CNS toxicity prompts the investigation of a lower ITD dosage (25 mg), also to limit GI-II side effects, and the tighter schedule used in T-ALL should be abandoned because too toxic. Disclosures: Bassan: Mundipharma Oncology; Sigma-Tau; Amgen: Honoraria, Membership on an entity’s Board of Directors or advisory committees, Research Funding. Off Label Use: Liposome-encapsulated cytarabine (DepoCyte®) used in a prospective phase II randomized trial of CNS prophylaxis in ALL. Masciulli:Novartis: Research Funding; Ospedali Riuniti di Bergamo: Research Funding; AIFA (Italian Regulatory Agency): Research Funding; AMGEN S.p.A.: Research Funding; Genzyme Olanda: Research Funding; Gruppo Italiano Trapianti di Midollo Osseo (GITMO): Research Funding; Pierre Fabre Italia S.p.A.: Research Funding; Università Cattolica del Sacro Cuore, Roma: Research Funding; Università degli Studi di Firenze: Research Funding; Sigma-Tau: Research Funding; Myeloproliferative disorder Research Consortium: Research Funding; Celgene: Research Funding; Associazione Italiana Linfomi (AIL): Research Funding; Fondazione Italiana Linfomi (FIL): Research Funding; LaRoche: Research Funding. Gallamini:Millenium: Consultancy. Marfisi:Novartis: Research Funding; Ospedali Riuniti di Bergamo: Research Funding; AIFA (Italian Regulatory Agency: Research Funding; AMGEN S.p.A.: Research Funding; Genzyme Olanda: Research Funding; Gruppo Italiano Trapianti di Midollo (GITMO): Research Funding; Pierre Fabre Italia S.p.A.: Research Funding; Università Cattolica del Sacro Cuore-Roma: Research Funding; Università degli Studi di Firenze: Research Funding; Sigma-Tau: Research Funding; Myeloproliferative disorder Research Consortium: Research Funding; Celgene: Research Funding; Associazione Italiana Linfomi (AIL): Research Funding; Fondazione Italiana Linfomi (FIL): Research Funding; LaRoche: Research Funding. Marchioli:Associazione Italiana Linfomi (AIL): Research Funding; Celgene: Research Funding; Myeloproliferative disorder Research Consortium: Research Funding; Sigma-Tau: Research Funding; Università Cattolica del Sacro Cuore, Roma: Research Funding; Pierre Fabre Italia S.p.A.: Research Funding; Gruppo Italiano Trapianti di Midollo (GITMO): Research Funding; Genzyme Olanda: Research Funding; AMGEN S.p.A.: Research Funding; AIFA (Italian Regulatory Agency): Research Funding; Ospedali Riuniti di Bergamo: Research Funding; Novartis: Research Funding; Fondazione Italiana Linfomi (FIL): Research Funding; LaRoche: Research Funding; Università degli Studi di Firenze: Research Funding. Rambaldi:Italfarmaco: Honoraria; Sanofi: Honoraria; Novartis: Honoraria.

Abstract Introduction. CLL primarily affects elderly individuals who frequently have comorbid health conditions. It is typically assumed non-CLL-related etiologies will be the ultimate cause of death for most CLL patients, particularly those with comorbid conditions at diagnosis. Methods. Between 9/2002 and 11/2014, 1174 patients with newly diagnosed CLL were enrolled in a prospective cohort study evaluating the natural history of CLL. Comorbidities were prospectively recorded at the time of diagnosis. Comorbidities arising during the course of disease were not considered for this analysis. Standardized longitudinal follow-up was performed in all patients every 6 months for the first 3 years after diagnosis and annually thereafter through 04/2015. Internal and external medical records, death certificates, and information from next of kin were centrally reviewed to determine cause of death, using a standardized protocol. Categorical and continuous variables were evaluated using the c2 or Fisher exact tests and the Mann-Whitney test, as appropriate. Results. Baseline characteristics at time of CLL diagnosis are shown in the Table. Over 80% of patients had 2 or more comorbidities at diagnosis (median 3, range 0-11). After a median follow up of 5 years, 224 (19%) patients have died. The cause of death could be accurately determined in 183 (82%) of these patients. The cause of death was due to CLL in 135 (74%), including 84 (46%) CLL progressions, 14 (8%) infections, and 37 (20%) other cancers. Death was due to non-CLL-related causes (such as congestive heart failure, stroke or chronic obstructive pulmonary disease) in the remaining 48 (26%) patients. On univariable analysis, age and number of comorbid health conditions were not related to whether or not the cause of death was related/unrelated to CLL. The only specific co-morbid condition at diagnosis that predicted for non-CLL related death was stroke (8% vs 1%, p=0.04). Unmutated IGHV was the only prognostic factor thatpredicted greater likelihood of CLL-related death (70% vs 50%, p=0.03). Conclusions. The majority of patients with CLL have multiple comorbidities at time of diagnosis. Despite this fact, CLL progression and/or CLL-related complications are the primary cause of death. The number and type of comorbidities at diagnosis have minimal relationship to whether or not the ultimate cause of death was CLL-related. In contrast, the CLL-specific characteristic IGHV status (but interestingly not FISH defects) correlates with cause of death. Collectively, these findings illustrate the need for more effective CLL therapy, particularly treatments that can be tolerated by patients with comorbid health conditions. It is hoped the signaling inhibitors may help address this unmet need. Table. Number (%), median [range] N=1174 Age (years) 63 [23-89] Males Females 791 (67) 383 (33) Creatinine-Clearance > (mL/min) 86 [10-252] B2M (mg/dL) 2.3 [1.1-13.2] Rai stage 0 I-II III-IV 604 (52) 512 (38) 54 (10) CD49d positive negative 277 (30) 638 (70) CD38 positive negative 332 (30) 780 (70) ZAP70 positive negative 380 (37) 650 (63) IGHV unmutated mutated 394 (44) 506 (56) FISH del13q negative +12 del11q del17p 395 (40) 175 (18) 276 (28) 90 (9) 50 (5) Comorbid health conditions Other cancers 237 (20) Stroke 38 (3) Cardiac disease 326 (28) Hypertension 472 (40) Respiratory 210 (18) Endocrinologic 165 (14) Diabetes 118 (10) Hyperlipidemia 485 (41) Rheumatologic 489 (42) Gastrointestinal 384 (33) Genitourinary 412 (35) Psychiatric 197 (17) DVT/PE 33 (3) Substance abuse 58 (5) Sexually transmitted disease 35 (3) Obesity 376 (32) # of Comorbidities 0 1 2 3 4 > 4 66 (6) 148 (13) 203 (17) 220 (19) 206 (17) 331 (28) Disclosures Kay: Hospira: Research Funding; Genentech: Research Funding; Celgene Corporation: Membership on an entity's Board of Directors or advisory committees, Research Funding; Gilead: Membership on an entity's Board of Directors or advisory committees, Research Funding; Pharmacyclics: Research Funding; Tolero Pharma: Research Funding. Cerhan:Kite Pharma: Research Funding.