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  • American Society of Hematology  (137)
  • 2015-2019  (135)
  • 1955-1959  (2)
  • 1940-1944
  • 1
    Publication Date: 2016-12-02
    Description: Background: Anthracylines are one of the major classes of drugs active against acute myeloid leukemia (AML). Increased doses of daunorubicin during induction therapy for AML have been shown to improve remission rates and survival. The ALLG used idarubicin in induction therapy at a dose of 9 mg/m2 x 3 days (total dose 27 mg/m2) in combination with high-dose cytarabine and etoposide (Blood 2005, 105:481), but showed that a total idarubicin dose of 36 mg/m2 was too toxic in this context (Leukemia 2001, 15:1331). In order to further improve outcomes in adult AML by anthracycline dose escalation, we conducted a phase 3 trial comparing standard to an increased idarubicin dose during consolidation therapy. Methods: Patients achieving complete remission after 1 or 2 cycles of intensive induction therapy (idarubicin 9 mg/m2 daily x3, cytarabine 3 g/m2 twice daily on days 1,3,5 and 7, and etoposide 75 mg/m2 daily x7; ICE protocol) were randomized to receive 2 cycles of consolidation therapy with cytarabine 100 mg/m2 per day for 5 days, etoposide 75 mg/m2 for 5 days, and idarubicin 9mg/m2 daily for either 2 or 3 days (standard and intensive arms respectively). No further protocol therapy was given. The primary endpoint was leukemia-free survival from randomization to consolidation therapy (LFS) with overall survival (OS) as secondary endpoint. Results: A total of 422 patients with AML (excluding cases with CBF rearrangements or APL) aged 16 to 60 years were enrolled between 2003-10, with 345 (82%) achieving complete remission, and 293 being randomized to standard (n=146) or intensive (n=147) consolidation arms. The median age was 45 years in both arms (range 16- 60), and both groups were balanced for intermediate versus unfavorable karyotypes and for frequency of mutations involving FLT3-ITD and NPM1 genes. Of the randomized patients, 120 in the standard arm (82%) and 95 in the intensive arm (65%) received the second consolidation cycle (p
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  • 2
    Publication Date: 2018-11-29
    Description: BACKGROUND: Neutrophil extracellular traps (NET) are extracellular lattices of decondensed chromatin associated with anti-microbial proteins and degradative enzymes released by polymorphonuclear leukocytes (PMN) to trap and kill invading microbes. Dysregulated NET formation, however, contributes to inflammatory tissue damage. We have identified a novel NET-inhibitory peptide, neonatal NET-Inhibitory Factor (nNIF), present in the fetal circulation. nNIF is formed as a carboxy-terminus cleavage fragment of alpha-1 antitrypsin (AAT), an abundant, circulating protease inhibitor with homologs in human and mouse blood. However, the exact mechanisms by which nNIF is generated in fetal and neonatal blood remains unknown. OBJECTIVE: High temperature requirement A 1 (HTRA1) is expressed in the placenta during fetal development and inhibits AAT. We hypothesized that placentally expressed HTRA1, a serine protease, regulates the formation of NET-inhibitory peptides, such as nNIF, through cleavage of AAT. DESIGN/METHODS: Term and preterm placenta were lysed and probed for HTRA1 expression. HTRA1 and AAT plasma expression from term and preterm infants and adults were determined by ELISA. Recombinant, bioactive HTRA1 or placenta-eluted HTRA1 were incubated with AAT and the generation of carboxy-terminus fragments of AAT was assessed using western blotting and mass spectrometry. Fragments of AAT generated by HTRA1 were incubated with LPS-stimulated PMNs and NET formation was examined qualitatively using live cell imaging and quantitatively using a high throughput fluorescence assay. The effect of the HTRA-AAT cleavage fragment on reactive oxygen species generation, neutrophil chemotaxis, phagocytosis, and bacterial killing was measured using flow cytometry, a modified Boyden chamber asssay, neutrophil labeled Escherichia coli uptake assay, and a bacterial killing assay with a pathogenic strain of Escherichia coli, respectively. Finally, NET formation was evaluated qualitatively and quantitatively in murine PMNs isolated from neonatal WT and HTRA1-/- pups between 1-3, 4-6 and 7-10 days after birth to determine when PMNs become NET-competent. RESULTS: Term and preterm infant placentas express HTRA1, and we detected significantly (p
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  • 3
    Publication Date: 2019-11-13
    Description: Introduction: 5'-Azacitidine (AZA), a DNA demethylating agent, is the primary drug for the treatment of high-risk Myelodysplastic Syndrome (MDS) and Chronic Myelomonocytic Leukaemia (CMML). Response is associated with improved survival. However, only half of patients respond, and these responses are rarely durable. We recently reported that primary AZA resistance is associated with a molecular signature of cell cycle quiescence within bone marrow (BM) hematopoietic progenitor cells (Unnikrishnan et al, Cell Reports, 20:572-585 (2017)). As DNA incorporation of the deoxyribonucleic form of AZA (5-aza-2′-deoxycytidine, DAC) occurs during DNA replication, cell cycle quiescence is predicted to lead to less DAC in DNA and concomitantly less DNA demethylation. We recently developed a quantitative multi-parameter assay, AZA-MS (Unnikrishnan, Vo et al, Leukemia 32:900-910 (2018)), to measure the intracellular dynamics of AZA in patients. Using AZA-MS, we reported data supporting the predicted resistance model. CC486 is an oral formulation of AZA. A 28-day cycle of CC486 involves 21 continuous days (21/28) versus the standard 7/28 subcutaneous (SC) injection AZA scheme. Whether levels of in vivo DAC incorporation into DNA during a cycle of CC486 are comparable with that of SC AZA is unknown. AZA-MS provides us with a unique opportunity to empirically assess the in vivo intracellular dynamics of SC versus oral AZA. Study Design and Methods: To directly assess in vivo DAC incorporation and concomitant DNA demethylation with SC AZA and CC486 in the same patient, we initiated a phase II clinical trial (NCT03493646; Fig A). MDS (IPSS; intermediate-2 or high-risk), CMML (bone marrow [BM] blasts 10-29%) and AML (20-30%) patients were recruited for six cycles of SC AZA (75mg/m^2/day for 7/28 days) followed by six cycles of CC486 (100mg bid for 21/28 days in C7-C8 and 150mg bid for 21/28 in C9-C12). Clinical response was assessed at the end of C6 and C12 using International Working Group criteria. Clinical responders and non-responders to SC AZA at C6 received CC486 from C7 onwards. From each patient, 36 peripheral blood (PB) samples and five BM samples were collected over the study period. DNA, RNA and intracellular fractions were isolated from the PB MNCs, for intracellular DAC/AZA measurements by AZA-MS (primary endpoint; Fig A). BM MNCs were utilised for AZA-MS as well as flow cytometry-based cell cycle measurements (secondary endpoint). Results: 31 of 42 consented patients have commenced treatment since trial opening (Fig B-C). We applied the AZA-MS assay on the longitudinal PB and BM samples collected from the seven patients who had completed six months AZA and commenced CC486 as at 26th June 2019 (Fig D). DAC incorporation into DNA and DNA methylation levels were quantified within the same cells, in addition to measuring other parameters (Fig E). As represented by patient 61213-005 (Fig F) who had a complete response (CR) at cycle 6, after 7 days of injection AZA we observed robust incorporation of DAC within PB MNCs (left panel, Fig F) together with concomitant DNA demethylation (right panel, Fig F). DAC levels diminished upon cessation of AZA within a cycle, with corresponding increases in DNA methylation. There were quantitatively higher levels of DAC incorporated in DNA during SC AZA cycles versus CC486. The trend observed is also appreciated from 2.3x higher area under the curve (AUC) measurements in 61213-005 during the SC AZA cycle. DAC incorporation was higher at C9/10 (CC486 150mg bid 21/28) than at C7/8 (CC486 100mg bid 21/28) without appreciable changes in DNA demethylation. During SC AZA cycles, higher DAC levels (top panel, Fig G) and greater DNA methylation (lower panel, Fig G) were seen in the BM MNCs. In a non-responding patient at cycle 6 (61290-002, SD), we saw less DAC incorporation and DNA demethylation (Fig H). We also observed a positive correlation between baseline proportions of cycling BM cells (LIN-CD34+CD38+) and the amount of DAC incorporated in BM MNCs at C1 day 8 (Fig I). Conclusion: AZA-MS can be used to reliably measure in vivo DAC incorporation and concomitant DNA demethylation in PB MNCs and inform appropriate CC486 dosing. Figure Disclosures Unnikrishnan: Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. Fong:Astellas: Consultancy; Novartis: Speakers Bureau; Pfizer: Consultancy, Speakers Bureau; Amgen: Consultancy, Research Funding, Speakers Bureau. Roncolato:St. George Hospital: Employment. Enjeti:Roche: Honoraria, Speakers Bureau; Bayer and Sanofi: Honoraria, Speakers Bureau; Astellas: Consultancy; Novartis: Consultancy; Abbvie: Consultancy. Hertzberg:BMS: Membership on an entity's Board of Directors or advisory committees; F. Hoffmann-La Roche Ltd: Honoraria, Membership on an entity's Board of Directors or advisory committees; Janssen: Membership on an entity's Board of Directors or advisory committees; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees; Pfizer: Membership on an entity's Board of Directors or advisory committees. Polizzotto:Janssen: Research Funding; Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees, Patents & Royalties, Research Funding; Gilead: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Merck: Research Funding; ViiV: Research Funding. Pimanda:Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding.
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  • 4
    Publication Date: 2016-12-02
    Description: INTRODUCTION: Multiple myeloma (MM) is a biologically and clinically heterogeneous disease. Different recurrent driver genomic events have been reported, but to date no unifying feature has been identified in MM evolution. The recent interest in signatures of mutational processes through analysis of whole-exome sequencing data has led to initial insights into what generates MM mutational repertoire (Bolli et al, Nat Com 2014). Here, taking advantage of the increased power provided by whole genome sequencing (WGS), we analyzed 22 paired samples from 11 patients first at the smoldering (SMM)/MGUS stage and subsequently at the time of progression to symptomatic MM to gain a deeper understanding of the full landscape of mutational processes operative in MM, especially during their evolution over time. MATERIAL AND METHODS: DNA from bone marrow CD138+ cells underwent WGS along with a matched normal sample using HiSeq X Ten machines (Illumina, Inc.). Mutational signature extraction was performed running non-negative matrix factorization (NMF) as previously described (Alexandrov et al, Nature 2013). RESULTS: We have observed and utilized a median number of 5780 (range 2599-7760) substitutions per patient at the asymptomatic stage and 5954 (ranges 2824-8227) at progression to MM stage to extract mutational signatures. NMF extracted 5 main signatures (http://cancer.sanger.ac.uk/cosmic/signatures). Specifically, APOBEC- (signature #2) and age-related signatures (signatures #1 and #5) accounted for 13% (1-21%) and 23% (3.2-40%) of all substitutions, respectively. In addition, we found two known signatures that were not implicated in MM so far: non-canonical AID (Signature #9), contributing to 28% of all substitutions (17-55%); and signature #8, accounting for 28% of all substitutions (13-45%) and pertaining to a yet unknown mutational process. Finally, the fifth signature did not match any of the previously described ones, representing a potential novel process which we defined as MM-1 (7%, range (1-16%). Interestingly, we found a differential contribution of processes in non-coding and intronic regions where AID was more prevalent, while exonic regions where APOBEC and age signatures were more prevalent. In intronic regions we found widespread regions of kataegis (9/11 patients), reflective of localized hypermutation. In our patients, kataegis was associated with rearrangements in 60% of cases, and was present in both the SMM and MM sample in 84% of cases, suggestive of an early event during tumor development. Contrary to what is observed in solid cancers, APOBEC signature was only responsible for 25% of kataegis variants, vs 70% for AID, suggesting a causative role of aberrant AID activity in shaping the early mutational repertoire of neoplastic plasma cells. To confirm this, we looked at serial samples in our cohort. While the percent contribution of each signature varied in each patient, confirming genomic heterogeneity of MM, it did not change when paired SMM and MM samples from the same patient were compared. This shows that mutational processes required for the development of symptomatic MM act early, and have been already operative at the SMM stage. However, by clustering substitutions as clonal (early variants present at the time of tumor initiation) or subclonal (late variants arisen closer to the time of sampling) using a Bayesian hierarchical Dirichlet process (Bolli et al, Nature Comms 2014), we could analyze processes operative before SMM was diagnosed. NMF analysis of these clusters reported striking differences. Specifically, AID and age were the predominant mutational processes in early substitutions in all patients, contributing to a median of 35% (25-54%) and 30% (15-43%) of variants respectively. Conversely the contribution of AID was minimal among late substitutions (5%, 1-22%), where instead APOBEC, Signature #8 and MM-1 activity was prominent [19% (1-43), 38% (8-73%), 16% (2-50%) respectively]. CONCLUSION: WGS data allowed the identification of mutational processes operative well before MM becomes clinically evident. Our observation that all samples have signs of aberrant AID at the time of tumor initiation supports a unifying model where MM precursors are initially transformed with the contribution of AID, providing a fertile ground for other later processes (i.e APOBEC and signature #8) to act and shape the final genomic landscape of overt multiple myeloma. Disclosures No relevant conflicts of interest to declare.
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  • 5
    Publication Date: 2019-11-13
    Description: Background: Patients with cancer are at elevated risk for venous thromboembolism (VTE). Active cancer contributes a 4-7 fold increased risk for VTE; however, the incidence of VTE stratified by subpopulations of patients diagnosed with cancer, especially race/ethnicity, is uncertain. Objective: Describe the incidence of VTE among adult patients (age ≥ 18 years) with a cancer diagnosis in Oklahoma County, OK according to age, gender, race, and cancer type. Methods: In collaboration with the Centers for Disease Control and Prevention, we established a population-based surveillance system for VTE in Oklahoma County, OK between April 1, 2012-March 31, 2014 to estimate the incidences of first-time and recurrent VTE events. The Commissioner of Health made VTE a reportable condition and delegated surveillance-related responsibilities to the University of Oklahoma, College of Public Health. Active surveillance involved reviewing imaging studies (e.g., chest computed tomography and compression ultrasounds of the extremities) from all inpatient and outpatient facilities in the county and collecting demographic, treatment and risk factor data on all VTE case-patients. Patients were linked to the Oklahoma Central Cancer Registry. Any patient with a cancer diagnosis since 1997, excluding basal or squamous cell carcinoma, were included in the population-at-risk. Active cancer was defined as metastatic or a diagnosis ≤6 months before their VTE diagnosis. Poisson regression was used to estimate incidence rates (IRs) and 95% confidence intervals (CIs), which are reported per 1,000 person years (PY). Estimates with
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  • 6
    Publication Date: 2015-12-03
    Description: Introduction: PAC is a kinase inhibitor with specificity for JAK2, FLT3, IRAK1, and CFS1R that does not inhibit JAK1. PAC has demonstrated activity in phase (Ph) 1-3 clinical studies. Nonclinical and clinical pharmacokinetic (PK) and pharmacodynamic studies support a 400 mg QD oral dosing regimen in ongoing Ph 3 studies in myelofibrosis. Here we present PK data from a series of Ph 1 studies of PAC. Methods: Seven Ph 1 studies were conducted in healthy subjects receiving a single 100, 200, or 400 mg dose of PAC. In an ADME mass balance study, [14 C]-PAC was administered to characterize routes of disposition. Separate drug interaction studies were conducted to assess effects of a strong CYP3A4 inhibitor (clarithromycin) or strong pan-CYP450 inducer (rifampin) on PAC PK. Cardiac safety of PAC was evaluated in a thorough QT (TQT) study. Food-effect, dose proportionality, and relative bioavailability studies were also conducted. Results: 140 subjects across 7 studies received single doses of PAC 100-400 mg. PK parameters of PAC 400 mg are presented in the Table (n=12). Following administration of single 100-400 mg PAC doses under fasted conditions, systemic exposure increased in a linear, but less than dose proportional manner. Among identified metabolites, the 2 major metabolites (M1, M2) exhibit relatively low pharmacological potency and are unlikely to contribute to PAC activity. Following a 400 mg single dose of [14 C]-PAC, the parent compound was the predominant moiety in plasma. Mean radioactivity recovery in urine = 3.22% of administered dose with intact PAC excreted in urine = 0.12% of administered dose. Of all 9 metabolites formed, M7, a glucuronidated metabolite, was the predominant radioactive component (3.03% of administered dose) excreted in urine. Mean radioactivity recovery in feces = 85.46% of administered dose and M2 (O- dealkylation metabolite) was the predominant component (24.08% of administered dose). When co-administered with clarithromycin (CYP3A4 inhibitor), PAC exposure increased with mean Cmax and AUC approximately 1.3- and 1.8-fold higher, respectively, with a similar mean t1/2 vs PAC alone. Co-administration with rifampin, a strong CYP3A4 inducer, reduced mean PAC Cmax and AUC by 51% and 87%, respectively vs PAC alone. Median Tmax was similar when co-administered with rifampin vs PAC alone (5-6 h), but t1/2 was shortened by approximately 65% (PAC: 43.3 h; PAC + rifampin: 15.1 h). Administration of single oral doses of PAC 400 mg in a placebo- and moxifloxacin-controlled TQT study had no clinically relevant effects on ECG parameters, including heart rate. There was no effect on QT prolongation (mean QTcF change
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  • 7
    Publication Date: 2018-11-29
    Description: Introduction: Failure rates ranging from 1.7-3.8% of the pegfilgrastim on-body injector (PEG-OBI) device have been reported (Joshi, Curr Med Res Opin 2017; Stuessy, J Clin Onc 2017; Mahler, Clin J Onc Nurs 2017). Failures may increase the risk of chemotherapy-induced febrile neutropenia (FN) and FN-related hospitalizations (FN-HOSP) beyond the FN and FN-HOSP rates for prophylaxis with single-injection pegfilgrastim (PEG) or daily injections of reference (REF-FIL) or Sandoz filgrastim biosimilar (BIOSIM-FIL). We aimed to estimate for a US panel of 10,000 patients with non-Hodgkin lymphoma (NHL) the total incremental costs of PEG-OBI prophylaxis and incremental FN-HOSP costs at different PEG-OBI failure rates versus (vs) assured prophylaxis administration with PEG, REF-FIL, or BIOSIM-FIL. Methods: Simulation analysis from a US payer perspective of the total incremental prophylaxis costs associated with PEG-OBI failure rates of 1-5% compared to assured prophylaxis administration with PEG, REF-FIL, and BIOSIM-FIL in chemotherapy cycle 1 for a panel of 10,000 NHL patients. Filgrastim daily injection regimens included real-world durations of 5 (Gascón, Support Care Cancer 2016) and 6.5 days (Weycker, Ann Pharmacother 2006) and standard 11 days, all clinician-administered. Differential base rates of FN-HOSP (rate of FN-HOSP without colony-stimulating factor [CSF] minus rate with CSF) in NHL patients was computed for two chemotherapy regimens: 1) cyclophosphamide, doxorubicin, vincristine and prednisone (CHOP) (Chrischilles, Cancer Control 2002; 13.25% with CSF, 23.28% without), and 2) CHOP or cyclophosphamide, mitoxantrone, vincristine and prednisone (CNOP) (Osby, Blood 2003; 33.0% with CSF, 50.0% without). Costs (US$) were based on 1Q2018 average selling price for drugs and 2018 Current Procedural Terminology reimbursement for administration. FN-HOSP costs in 2012 of $25,676 per episode for NHL patients (Tai, J Oncol Pract 2017) were adjusted per the Consumer Price Index for Medical Care to $29,938.63 for 2018. Results: Table 1 (Chrischilles; CHOP) and Table 2 (Osby; CHOP/CNOP) present, for PEG-OBI failures rates of 0.01-0.05, the incremental number of patients at risk for FN-HOSP and associated incremental costs; and total incremental costs of PEG-OBI prophylaxis over the costs of assured prophylaxis administration with other CSFs in CTX cycle 1 for a panel of 10,000 NHL patients. Except for one scenario (savings of $72,916 at 0.1 failure rate due to the lower PEG-OBI administration costs), all scenarios showed incremental costs associated with PEG-OBI prophylaxis and failures of the PEG-OBI device (Tables 1 and 2). Per Chrischilles rates, in a panel of 10,000 NHL patients, incremental FN-HOSP costs due to PEG-OBI device failure ranged from $300,284 (at 0.01 failure rate) to $1,501,422 (at 0.05 failure rate). Total incremental costs of PEG-OBI over PEG ranged from $227,369 to $1,128,222. Total incremental costs of PEG-OBI over REF-FIL ranged from $6,794,984 to $28,859,922; and over BIOSIM-FIL from $19,004,984 to $34,409,922. Per the Osby rates, in a panel of 10,000 NHL patients, incremental FN-HOSP costs due to PEG-OBI device failure ranged from $508,957 to $2,544,784. Total incremental costs of PEG-OBI over PEG ranged from $135,757 to $2,171,584; over REF-FIL from $7,003,657 to $29,903,284; and over BIOSIM-FIL from $19,213,657 to $35,453,284. Conclusions: In this simulation of NHL patients treated with CHOP or CNOP, the total incremental costs of PEG-OBI prophylaxis vs assured prophylaxis administration with other CSFs vary as a function of PEG-OBI failure rates, baseline and failure-associated FN-HOSP risk, and the alternative CSF prophylaxis option. Incremental costs of PEG-OBI prophylaxis and failure are lowest vs PEG and highest vs BIOSIM-FIL at real-world duration of 5 days. Disclosures Krendyukov: Sandoz: Employment. Mathieson:Sandoz: Employment. Campbell:Sandoz Inc.: Employment. Balu:Sandoz Inc.: Employment. MacDonald:Sandoz: Consultancy. Abraham:Sandoz: Consultancy.
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  • 8
    Publication Date: 2016-12-02
    Description: Background: Renal disease is a common end organ complication of sickle cell disease(SCD). Risk factors of sickle cell nephropathy include age, genotype, and anemia. We have investigated and discovered Lower Hemoglobin Oxygen Saturation levels associated with microalbuminuria. To further investigate this, we investigated a patient's history of asthma as a risk factor of renal disease. Asthma has been linked to increased mortality in adult and children with SCD from the National Cooperative SCD Study Group. In our ongoing International CASIRE Renal Cohort study, we investigated the clinical history of asthma and laboratory correlates of albuminuria and proteinuria as measured by Urine Protein/Creatinine and Urine Albumin/Creatinine . Methods: 538pediatric and adult SCD (3-59 y/o) patients were recruited at baseline from 6 Centers (USA: Univ of Michigan, Case Medical Center/Rainbow Babies, Albert Einstein-Montefiore Medical Center, Univ of Connecticut; Italy: Univ. of Padova, Univ of Naples;). Clinical history and laboratory studies, including Pain crisis patterns, SBP, DBP, BMI, CBC, Serum Crt, Urine ph, Urine SG were collected. For this report, we concentrated on patient's comorbidities and sickle cell medical history, specifically pain crisis patterns, acute chest history and asthma. Urine Microalbumin/Crt(UMA) (mg/gm) was obtained in 172 patients and we categorized patients into No Albuminuria: (No UMA)300mg/gm.334 subjects answered the question of medical history of asthma and of those 172 had Urine Microalbumin (UMA) levels. 75% of SCD-Asthma group (N=56) and 78% of SCD-NoAsthma group (N=204) had severe SCD (SS or SBeta Zero). Children (
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  • 9
    Publication Date: 2016-12-08
    Description: Key Points CML LSC demonstrate increased IL-1 receptor expression and enhanced signaling response. Inhibition of IL-1 signaling using the antagonist IL-1RA enhances targeting of CML LSC in combination with TKI.
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  • 10
    Publication Date: 2019-05-02
    Description: Ras-related C3 botulinum toxin substrate 2 (RAC2), through interactions with reduced NAD phosphate oxidase component p67phox, activates neutrophil superoxide production, whereas interactions with p21-activated kinase are necessary for fMLF-induced actin remodeling. We identified 3 patients with de novo RAC2[E62K] mutations resulting in severe T- and B-cell lymphopenia, myeloid dysfunction, and recurrent respiratory infections. Neutrophils from RAC2[E62K] patients exhibited excessive superoxide production, impaired fMLF-directed chemotaxis, and abnormal macropinocytosis. Cell lines transfected with RAC2[E62K] displayed characteristics of active guanosine triphosphate (GTP)–bound RAC2 including enhanced superoxide production and increased membrane ruffling. Biochemical studies demonstrated that RAC2[E62K] retains intrinsic GTP hydrolysis; however, GTPase-activating protein failed to accelerate hydrolysis resulting in prolonged active GTP-bound RAC2. Rac2+/E62K mice phenocopy the T- and B-cell lymphopenia, increased neutrophil F-actin, and excessive superoxide production seen in patients. This gain-of-function mutation highlights a specific, nonredundant role for RAC2 in hematopoietic cells that discriminates RAC2 from the related, ubiquitous RAC1.
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