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Introduction: Whereas morphological assessment and cytogenetics have been the cornerstone for the diagnosis of myelodysplastic syndrome (MDS), flow cytometry and mutational analyses are novel, evolving techniques. These diagnostic procedures play a role in identifying pre-MDS cases including idiopathic cytopenia of undetermined significance (ICUS) and clonal cytopenia of undetermined significance (CCUS). Aim: To assess flow cytometric findings in ICUS and CCUS and their correlation with progression to MDS or myeloid neoplasm (MN), concurrent genetic aberrations, and underlying pathological evolution. Methods: Patients (Pts) who had undergone evaluation to rule out MDS and had retrospectively undergone flow cytometry, cytogenetic, mutational and morphological assessment were included. Flow cytometry results were classified as normal (no abnormality or 1 equivocal result), abnormal (2 abnormalities or at least 1 abnormality and 1 equivocal result), or atypical (1 abnormality or 2-3 equivocal results). Next generation sequencing included mutation analysis of: ASXL1, BCOR, BRAF, CALR, CBL, CEBPA, CSF3R, DNMT3A, ETV6, EZH2, FLT3, GATA1, GATA2, IDH1, IDH2, JAK2, KIT, KRAS, MPL, MYD88, NOTCH1, NPM1, NRAS, PHF6, PTPN11, RUNX1, SETBP1, SF3B1, TERT, TET2, TP53, U2AF1, WT1, ZRSR2. Results: A) Characteristics: 229 pts were assessed (median age 60 and 69% were males). Based on pathologist interpretation, 87 (38%) pts met diagnostic criteria of MDS, 106 (46%) pts had normal/reactive bone marrow (BM), and 36 (16%) pts had BM findings suspicious for MDS. Median time to follow-up was 24 months for MDS pts, and 32 months for pts with cytopenias. B) Morphology: Pts who had a BM biopsy that was suspicious for MDS by pathologist interpretation were more likely to develop MDS compared to pts with normal/reactive pathology report with an incidence rate (IR) of 16% versus 0.9% (p= .0005). Pts who were suspicious for MDS based on the BM biopsy were more likely to have underlying mutations compared to pts with normal/reactive BM (IR 83% versus 69%, p= .2). C) Flow cytometry: In the non-MDS cohort, 96 (67%) pts had normal flow results, 29 (20%) pts had atypical flow, and 17 (12%) pts had abnormal flow results compared to 16 (18%) pts, 18 (21%) pts, and 53 (61%) pts in the MDS cohort, respectively. Of the pts who had normal flow result (n=112), 16 were MDS, 16 were suspicious for MDS/MN, and 80 were normal/reactive. Pts who had biopsy interpretation suspicious for MDS/MN were more likely to have abnormal flow cytometry compared to normal/reactive BM biopsy (IR 55% versus 24%, p=.0003). IR of MDS was 4% in normal flow, 3% in atypical flow, and 12% in abnormal flow (p= .5). Likewise, IR of MN was 4% in normal flow, 20% in atypical flow, and 30% in abnormal flow (p= .1). D) Genetics (cytogenetics and mutation profiling): Cytogenetics was normal in 123 (86%) pts and abnormal in 19 (13%) pts. Pts who had abnormal cytogenetics were more likely to develop MN (IR 57% versus 5%, p= .002). Out of the 50 non-MDS pts tested for NGS, 38 (76%) were positive for mutations. 15 (39%) pts had 1 mutation, 8 (21%) pts had 2, 3 (8%) pts had 3, 6 (16%) pts had 4, 2 (5%) pts had 5, 1 (3%) pt had 7, and 1 (3%) pt had 8 mutations (61% had >1 mutation). Pts with positive mutations were more likely to develop MDS during follow-up compared to pts who did not have mutations (IR 16% versus 0%, p=.06). Additionally, flow cytometric aberrations significantly correlate with the number of mutations (p= .03). MN correlated significantly with BCOR mutation and RUNX1 (IR 60% (p= .008) and 50% (p=.02), respectively. E) Interaction between variables: In pts with positive mutations, flow cytometry did not correlate with progression to MDS with an IR of 17% of MDS in normal flow, 11% in atypical flow, and 17% in abnormal flow, (p= .9). There was no impact on overall survival neither in pts with abnormal flow results vs normal nor in pts with positive mutations vs wild type. Conclusion: Conventional diagnostic techniques remain the cornerstone of MDS diagnosis with flow cytometry and NGS arising as novel techniques that correlate significantly with progression of pre-MDS pts to MDS. Flow had an impact on pathology final interpretation but did not add value in pt with a positive mutation analysis. Larger studies are needed to confirm our findings. Disclosures Patnaik: Stem Line Pharmaceuticals.: Membership on an entity's Board of Directors or advisory committees. Al-Kali:Astex Pharmaceuticals, Inc.: Research Funding.

Background: Less-fit patients with acute myeloid leukemia (AML) or high-risk myelodysplasia (MDS) age 60 years and older constitute the majority of patients with AML/MDS but are not well represented in clinical trials. DNA-methyltransferase inhibitor (HMA) monotherapy (e.g. azacitidine or decitabine) is usual. Overall response rates (ORR) are low; improvement in overall survival relative to supportive care alone is modest, highlighting the critical need for efficient identification of effective novel therapies. Blocking programed cell death protein-1 (PD-1) signaling with nivolumab may increase the sensitivity of AML cells to azacitidine and improve outcomes and is the focus of one arm of the S1612 trial. Signaling through PD-1 contributes to tumor immune evasion and growth in AML [Chen, Cancer Biol Ther 2008]. Increased expression of PD-1 (~40% of AML), is associated with poor HMA response [Ørskov, Oncotarget 2015]. A single center azacitidine/nivolumab non-randomized phase II study in relapsed/refractory AML reported ORR of 33% (23/70), including 22% complete remission/complete remission with incomplete hematologic recovery [Daver, Cancer Discovery 2018]. About 25% of the patients developed grade 2-4 immune toxicities; nivolumab immune-related adverse events led to treatment discontinuation in nearly 1 in 7 patients. Study Design and Methods:The S1612 trial [NCT03092674] is a platform randomized phase II/III clinical trial with a common azacitidine control arm (CA) and two currently active experimental arms (EA). Therapy is intended for community setting: azacitidine/nivolumab; and azacitidine/midostaurin. The innovative design utilizes a phase II go/no-go decision comparing each EA with the CA independently when there are 100 pts/arm and 104 deaths on the EA and CA combined. EAs will proceed to phase III if the null hypothesis (HR=1) is rejected in favor of the EA (15% one-sided alpha). When the two currently active EAs complete phase II accrual, a third EA (decitabine/cytarabine) will open. The CA stays open the entire length of the trial and only concurrently randomized patients will be compared across arms. If an EA proceeds to phase III, 200 additional patients (300 total patients) will be accrued. Phase III analysis occurs 1.5 years after accrual or at 414 deaths (in the respective EA and CA), whichever comes first. The phase III tests the null hypothesis with 4.5% two-sided alpha and 83% power for each EA to detect an improvement in median OS from 10.4 to 15.6 months. Eligible pts are age ≥60 years, newly diagnosed AML with ≥ 20% blasts or myelodysplastic syndrome with excess blasts-2 (MDS-EB-2); deemed by the treating physician unfit for standard cytotoxic chemotherapy; and no prior HMA permitted. Trial in Progress Issues:Between December 2017 and October 2018, 113 patients were screened and 78 randomized to study treatment (median/range age: 75/61-86 years; median/range performance status 1/0-3). Two concerns challenged this trial: 1) required administration of 7-day azacitidine at the enrolling sites created a burden for this population and 2) an early excess grade 5 toxicity signal in the azacitidine/nivolumab arm compared with the control arm. Without a control comparison, this safety signal likely would have been missed. Strategies to address these concerns were developed by the study team. Discussion with the sponsor and US Food and Drug Administration (FDA) focused on allowance of standard-of-care protocol-directed azacitidine administration in the patient's primary care doctor's office rather than at the oncology center. Because of the toxicity concern, the trial was placed on partial clinical hold for further evaluation and possible nivolumab-arm eligibility changes, along with new surveillance and pre-emptive action including prompt steroid initiation for suspected immune-related toxicities. The S1612 trial highlights special concerns when enrolling vulnerable populations onto leukemia clinical trials, and the importance of collaborative strategies including with the FDA to preserve clinical trial integrity for patient benefit. It also demonstrates the efficiency this novel platform design has for therapeutic investigation and, importantly, very early identification of serious toxicity. Updates on accrual and resolution and of these issues will be presented. Disclosures Hay: Kite: Research Funding; Gilead: Research Funding; AbbVie: Research Funding; Janssen: Research Funding; MorphoSys: Research Funding; Seattle Genetics: Research Funding; Takeda: Research Funding; Celgene: Research Funding; Roche: Research Funding; Novartis: Research Funding. Assouline:Janssen: Consultancy, Honoraria, Speakers Bureau; F. Hoffmann-La Roche Ltd: Consultancy, Honoraria; Pfizer: Consultancy, Honoraria, Speakers Bureau; Abbvie: Consultancy, Honoraria. Walter:Pfizer: Consultancy, Research Funding; Race Oncology: Consultancy; New Link Genetics: Consultancy; Agios: Consultancy; Amphivena Therapeutics: Consultancy, Equity Ownership; Seattle Genetics: Research Funding; Aptevo Therapeutics: Consultancy, Research Funding; Argenx BVBA: Consultancy; Astellas: Consultancy; BioLineRx: Consultancy; BiVictriX: Consultancy; Boehringer Ingelheim: Consultancy; Boston Biomedical: Consultancy; Covagen: Consultancy; Daiichi Sankyo: Consultancy; Jazz Pharmaceuticals: Consultancy; Kite Pharma: Consultancy; Amgen: Consultancy. Foran:Agios: Honoraria, Research Funding. Radich:TwinStrand Biosciences: Research Funding; Novartis: Other: RNA Sequencing. Othus:Celgene: Other: Data Safety and Monitoring Committee; Glycomimetics: Other: Data Safety and Monitoring Committee. Erba:Astellas Pharma: Consultancy; Amgen: Consultancy; Amgen: Consultancy; ImmunoGen: Consultancy, Research Funding; Novartis: Consultancy, Research Funding, Speakers Bureau; MacroGenics: Consultancy, Other: Lecture fees, Research Funding; Pfizer: Consultancy; Pfizer: Consultancy; ImmunoGen: Consultancy, Research Funding; Covance: Other: Fees for serving as chair on an independent review board for AbbVie Phase III studies; Astellas Pharma: Consultancy; Covance: Other: Fees for serving as chair on an independent review board for AbbVie Phase III studies; MacroGenics: Consultancy, Other: Lecture fees, Research Funding; AbbVie: Consultancy, Other: Chair, IRC for phase III studies, Research Funding; AbbVie: Consultancy, Other: Chair, IRC for phase III studies, Research Funding; Seattle Genetics: Consultancy; Seattle Genetics: Consultancy; Celgene: Consultancy, Other: chair, AML Registry Scientific Steering Committee, Speakers Bureau; Celgene: Consultancy, Other: chair, AML Registry Scientific Steering Committee, Speakers Bureau; Daiichi Sankyo: Consultancy, Research Funding; Daiichi Sankyo: Consultancy, Research Funding; GlycoMimetics: Consultancy, Other: Chair, data and safety monitoring board, Research Funding; GlycoMimetics: Consultancy, Other: Chair, data and safety monitoring board, Research Funding; Agios: Consultancy, Speakers Bureau; Agios: Consultancy, Speakers Bureau; Incyte: Consultancy, Speakers Bureau; Incyte: Consultancy, Speakers Bureau; Jazz Pharmaceuticals: Consultancy, Speakers Bureau; Jazz Pharmaceuticals: Consultancy, Speakers Bureau; Novartis: Consultancy, Research Funding, Speakers Bureau. Michaelis:Pfizer: Equity Ownership, Research Funding; Incyte: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Novartis: Consultancy; TG Therapeutics: Consultancy, Research Funding; JAZZ: Other: Data Safety Monitoring Board, uncompensated, Research Funding; BMS: Research Funding; Bioline: Research Funding; ASTEX: Research Funding; Janssen: Research Funding; Millenium: Research Funding; Macrogeneics: Research Funding. OffLabel Disclosure: Off label experimental combination therapies in newly diagnosed AML/MDS will be discussed, including nivolumab and azacitidine.

BACKGROUND: Sézary syndrome and mycosis fungoides are two clinically distinct neoplasias of CD4-positive skin-resident T-cells that share remarkable morphologic and immunophenotypic similarities, commonly referred together as cutaneous T-cell lymphoma (CTCL). Prognostic clinical staging in CTCL requires flow cytometric quantitation of peripheral blood tumor cells (Sézary cells), based on aberrant loss of CD7 and/or CD26 within the CD4-positive T-cell compartment. Unfortunately, similar T-cell populations are frequently encountered in reactive conditions, creating uncertainty in the diagnostic interpretation. We recently reported a flow cytometric strategy to assess T-cell clonality using a single antibody (JOVI-1) against one of 2 mutually exclusive T-cell receptor beta constant (TRBC) regions randomly selected during T-cell receptor gene rearrangement. We hereby applied this strategy to a diagnostic Sézary cell flow cytometry panel, resulting in rapid, accurate and unequivocal identification and quantitation of clonal CD4-positive T-cells. METHODS: We studied 33 peripheral blood specimens from 24 patients with CTCL, and 28 specimens from patients with no clinical or laboratory evidence of T-cell malignancy. A routine Sézary cell flow cytometry panel (CD2/CD3/CD4/CD5/CD7/CD8/CD26/CD45) was modified to include a fluorescent labeled antibody against TRBC1. Gated CD4 T-cells were studied to identify discrete subsets lacking CD7, CD26 or both, in addition to other immunophenotypic abnormalities. Within each subset, clonality was defined as a dominant TRBC1-positive or TRBC1-negative population greater than 85%, or a dominant abnormal TRBC1-dim population, as previously described. RESULTS: Peripheral blood specimens from patients with CTCL showed subsets of CD4-positive T-cells lacking CD7 (median=35%; range 1.6% to 96%) or CD26 expression (median=54%; range 6.6% to 98%). Fifteen (45%) of these specimens had other identifiable phenotypic abnormalities, including decreased CD2, CD3, CD4 or CD5. Patients without a T-cell malignancy also had CD4-positive T-cells lacking CD7 (median=13%; range 0.5% to 38%) or CD26 expression (median=9.4%; range 0.7% to 30%), albeit to a lesser extent compared to CTCL patients (p<0.01 and p<0.0001 for CD7 and CD26, respectively). One febrile infant showed loss of CD2 on a small T-cell subset. Discrete CD4-positive T-cell subsets with monotypic TRBC expression were identified in 24 specimens (73%) from patients with CTCL (Figure A), ranging from 30 to12,000 cells/µL (median=632). Importantly, no TRBC-restricted CD4-positive T-cells were detected in any of the 28 patients without a T-cell malignancy. Nine specimens from CTCL patients without a TRBC-restricted subset were reviewed based on morphologic, immunophenotypic and clinical features, yielding no definitive evidence of Sézary cells. Absolute numbers of TRBC-restricted T-cells correlated with numbers of Sézary cells estimated based on lack of CD7 or CD26 expression (R=0.99), or absence of both antigens (R=0.7) (Figure B). However, all cases with no detectable clonal TRBC-restricted T-cells showed significant absolute numbers of CD4-positive T-cells lacking CD7 or CD26 (mean=208 cells/µL, range=22 to 1,078 cells/µL), resulting in common diagnostic uncertainties based on quantitation of these subsets. A narrower gating strategy on these same patients based on the combined loss of CD7 and CD26 yielded lower numbers of abnormal cells (mean=51 cells/µL, range=2 to 556 cells/µL), but grossly underestimated the number of TRBC-restricted CD4-positive T-cells by more than 500 cells/µL in 6 patients with CTCL (Figure B). CONCLUSIONS: A single anti-TRBC1 antibody added to a routine Sézary cell flow cytometry assay provides a rapid, simple and low-cost approach to query for clonality within immunophenotypically distinct CD4 T-cell subsets, eliminating the need for a separate T-cell clonality assay. Diagnostic uncertainties and quantitative biases resulting from immunophenotypic overlaps between Sézary cells and reactive T-cells are virtually resolved. Direct quantitation of clonal CD4 T-cells based on TRBC1 restriction is a biologically sound strategy for blood staging in CTCL, effectively overcoming the limitations and uncertainties of staging by immunophenotypic analysis based on current guidelines. Figure Disclosures Horna: MorphoSys AG: Research Funding.

Background: Voxelotor (GBT440) is a small molecule allosteric effector with high specificity for hemoglobin (Hb) that inhibits Hb S polymerization by increasing hemoglobin oxygen affinity. Developed as an oral, once-daily medication, it is undergoing phase 3 randomized clinical trials in sickle cell disease patients. Therapeutic monitoring of Hb quantitative fractions is routine in sickle cell disease patients to assess medication and transfusion effects and future treatment requirements. In the clinical laboratory, some therapies can alter the Hb fraction percentages or characteristic protein migration/elution patterns and can mimic complex hemoglobinopathy disorders causing misinterpretation or unnecessary additional testing. We present the effects of voxelotor on hemoglobin identification/monitoring testing in multiple testing platforms. Methods: A whole blood anticoagulated sample from a male patient who was undergoing treatment for sickle cell disease was received for routine hemoglobin testing. Five additional samples with similar features were also received from three male patients (age range of all patients was 18 to 22 years) with sickle cell disease. Hemoglobin protein analysis was performed using standard methods including cation-exchange high performance liquid chromatography (HPLC), capillary electrophoresis (CE), isoelectric focusing (IEF), intact globin chain mass spectrometry (MS), sickle solubility and hemoglobin stability studies. DNA sequencing of the alpha (HBA1/HBA2) and beta globin (HBB) genes was performed on one sample. Results: CE (initial and 50:50 mix, figures 1A and 1B, respectively) revealed a Hb S peak with a shoulder and additional small peaks at position 203 (D zone) and 234 (cusp of zones E/A2). In some cases the 234 peak interfered with instrument designation of the A2 peak (50:50 mix with normal) and shifted the Hb S peak into the E zone which risks variant misidentification (figure 1C). Our laboratory overcame this limitation by substituting the normal sample with beta thalassemia trait to enhance the Hb A2 peak after mixing. HPLC tracings (figure 1D) showed a duplex peak pattern in the D and S windows with separate peak quantification percentages (index case showed elution at 4.18 and 4.37 minutes with 14.9% and 66.4%, respectively). The dual peaks detected by HPLC partially mimicked compound Hb S/D-Punjab. IEF (figure 1E) showed additional bands at -4.7, and -11.5 (Schneider-Barwick ratios). The additional peaks identified by CE and IEF mimicked an alpha chain hemoglobin variant; however, the expected hybrid patterns were atypical prompting further investigation. Sickle solubility was positive, heat stability studies were negative and mass spectrometry did not definitively detect abnormal peaks other than βS. DNA sequencing of the alpha and beta globin genes did not reveal abnormalities other than homozygous Hb S. Similar hemoglobin patterns were identified in all samples tested. Conclusion: Voxelotor treatment in sickle cell patients results in a distinctive pattern alteration in hemoglobin testing. Methods may not give accurate variant percentage estimation and the treatment may result in shifts in variant mobility causing erroneous laboratory results. Novel therapies are increasing in the treatment of hemoglobin disorders and medication effect should be a consideration when atypical patterns are encountered in the laboratory. Knowledge of these artifacts by clinicians and laboratorians is paramount to avoid erroneous diagnosis, unnecessary additional testing and inaccurate Hb variant quantitation for monitoring purposes. Notification of current treatment regimens to testing facilities is highly recommended in these patients. Figure 1 Disclosures No relevant conflicts of interest to declare.

Abstract Pathogenic sequence variants (PSV) in BRCA1 or BRCA2 (BRCA1/2) are associated with increased risk and severity of prostate cancer. We evaluated whether PSVs in BRCA1/2 were associated with risk of overall prostate cancer or high grade (Gleason 8+) prostate cancer using an international sample of 65 BRCA1 and 171 BRCA2 male PSV carriers with prostate cancer, and 3,388 BRCA1 and 2,880 BRCA2 male PSV carriers without prostate cancer. PSVs in the 3′ region of BRCA2 (c.7914+) were significantly associated with elevated risk of prostate cancer compared with reference bin c.1001-c.7913 [HR = 1.78; 95% confidence interval (CI), 1.25–2.52; P = 0.001], as well as elevated risk of Gleason 8+ prostate cancer (HR = 3.11; 95% CI, 1.63–5.95; P = 0.001). c.756-c.1000 was also associated with elevated prostate cancer risk (HR = 2.83; 95% CI, 1.71–4.68; P = 0.00004) and elevated risk of Gleason 8+ prostate cancer (HR = 4.95; 95% CI, 2.12–11.54; P = 0.0002). No genotype–phenotype associations were detected for PSVs in BRCA1. These results demonstrate that specific BRCA2 PSVs may be associated with elevated risk of developing aggressive prostate cancer. Significance: Aggressive prostate cancer risk in BRCA2 mutation carriers may vary according to the specific BRCA2 mutation inherited by the at-risk individual.

Abstract Introduction While the clinical efficacy of deep brain stimulation (DBS) the treatment of motor‐related symptoms is well established, the mechanism of action of the resulting cognitive and behavioral effects has been elusive. Methods By combining functional magnetic resonance imaging (fMRI) and DBS, we investigated the pattern of blood‐oxygenation‐level‐dependent (BOLD) signal changes induced by stimulating the nucleus accumbens in a large animal model. Results We found that diffused BOLD activation across multiple functional networks, including the prefrontal, limbic, and thalamic regions during the stimulation, resulted in a significant change in inter‐regional functional connectivity. More importantly, the magnitude of the modulation was closely related to the strength of the inter‐regional resting‐state functional connectivity. Conclusions Nucleus accumbens stimulation affects the functional activity in networks that underlie cognition and behavior. Our study provides an insight into the nature of the functional connectivity, which mediates activation effect via brain networks.

Background Over-lengthening of the radial neck has been shown to affect ulnohumeral kinematics and has been proposed to affect radiocapitellar pressures. We hypothesized that an incremental increase in radial neck height increases the capitellar contact pressure and reduces the coronoid contact pressure. Knowledge of the effects of over-lengthening is clinically important in preventing pain and degenerative changes due to overstuffing. Methods Six human cadaveric elbows were prepared on a custom-designed apparatus simulating muscle loads and passive flexion from 0° to 90° under gravity valgus torque while measuring joint contact pressures in this biomechanical study. Each elbow was tested sequentially starting with the intact specimen followed by insertion of a radial head prosthesis with 0, +2, and +4 mm of radial neck height, respectively. Results Capitellar mean contact pressures significantly increased after insertion of +2 and +4 mm radial head prostheses (p < 0.03). The capitellar mean contact pressure with a 0 mm radial head prosthesis was 97 KPa. Insertion of +2 mm and +4 mm radial heads increased mean contact pressures to 391 KPa (p = 0.001) and 619 KPa (p = 0.001), respectively, with 90° of elbow flexion. Discussion Increasing radial prosthesis height by 2 mm significantly increases capitellar contact pressures and reduces coronoid contact pressures.