Citations

Rapidly progressive non-traumatic paraplegia in a child is uncommonly encountered in clinical practice, but is an important presentation to consider given the potential for significant morbidity. We present the case of an 11-year-old girl who was found to have hyperacute paraplegia due to spinal cord infarction. We discuss the appropriate workup, differential diagnosis in children and how this relates to adults; and describe the prognosis and current state of management options for spinal cord infarction.

AbstractPopulation‐based genomic screening has the potential to improve health outcomes by identifying genetic causes of disease before they occur. While much attention has been paid to supporting the needs of the small percentage of patients who will receive a life‐altering positive genomic screening result that requires medical attention, little attention has been given to the communication of negative screening results. As there are currently no best practices for returning negative genomic screening results, we drew on experiences across the electronic medical records and genomics (eMERGE) III Network to highlight the diversity of reporting methods employed, challenges encountered in reporting negative test results, and “lessons learned” across institutions. A 60‐item survey that consisted of both multiple choice and open‐ended questions was created to gather data across institutions. Even though institutions independently developed procedures for reporting negative results, and had very different study populations, we identified several similarities of approach, including but not limited to: returning results by mail, placing results in the electronic health record via an automated process, reporting results to participants' primary care provider, and providing genetic counseling to interested patients at no cost. Differences in procedures for reporting negative results included: differences in terminology used to describe negative results, definitions of negative results, guidance regarding the meaning of negative results for participants and their family members, and recommendations for clinical follow up. Our findings highlight emerging practices for reporting negative genomic screening results and highlight the need to create patient education and clinical support tools for reporting negative screening results.

Abstract Purpose: Low-dose tamoxifen reduces breast cancer risk, but remains untested in chest-irradiated cancer survivors—a population with breast cancer risk comparable with BRCA mutation carriers. We hypothesized that low-dose tamoxifen would be safe and efficacious in reducing radiation-related breast cancer risk. Patients and Methods: We conducted an investigator-initiated, randomized, phase IIb, double-blinded, placebo-controlled trial (FDA IND107367) between 2010 and 2016 at 15 U.S. sites. Eligibility included ≥12 Gy of chest radiation by age 40 years and age at enrollment ≥25 years. Patients were randomized 1:1 to low-dose tamoxifen (5 mg/day) or identical placebo tablets for 2 years. The primary endpoint was mammographic dense area at baseline, 1 and 2 years. IGF-1 plays a role in breast carcinogenesis; circulating IGF-1 and IGF-BP3 levels at baseline, 1 and 2 years served as secondary endpoints. Results: Seventy-two participants (low-dose tamoxifen: n = 34, placebo: n = 38) enrolled at a median age of 43.8 years (35–49) were evaluable. They had received chest radiation at a median dose of 30.3 Gy. Compared with the placebo arm, the low-dose tamoxifen arm participants had significantly lower mammographic dense area (P = 0.02) and IGF1 levels (P < 0.0001), and higher IGFBP-3 levels (P = 0.02). There was no difference in toxicity biomarkers (serum bone-specific alkaline phosphatase, lipids, and antithrombin III; urine N-telopeptide cross-links) between the treatment arms. We did not identify any grade 3–4 adverse events related to low-dose tamoxifen. Conclusions: In this randomized trial in chest-irradiated cancer survivors, we find that low-dose tamoxifen is effective in reducing established biomarkers of breast cancer risk and could serve as a risk-reduction strategy.

Germ line mutations in H3F3A and H3F3B cause a previously unidentified neurodevelopmental syndrome.

Background: Blasts and leukemic stem cells of acute myeloid leukemia (AML) as well as several other hematologic malignancies express CD123, potentially providing a target for novel therapies. Vibecotamab (XmAb14045, SQZ622) is a potent bispecific antibody targeting both CD123 and CD3 that stimulates targeted T cell-mediated killing of CD123-expressing cells, regardless of T cell antigen specificity. It is a full-length immunoglobulin molecule designed to be dosed intermittently. Methods: Patients with relapsed or refractory AML, B-cell acute lymphoblastic leukemia (B-ALL), blast phase chronic myelogenous leukemia, or blastic plasmacytoid dendritic cell neoplasm were eligible to enroll on this first-in-human, multicenter, open-label phase 1 dose-escalation study (XmAb14045-01) with standard 3+3 design. The primary objective was to estimate the maximum tolerated dose (MTD) or recommended dose and schedule of vibecotamab. Secondary objectives included safety, preliminary antileukemic activity, and pharmacokinetics/pharmacodynamics of vibecotamab. Treatment was administered weekly in 28-day cycles, using a weight-based dose with 3 escalating doses in the first week followed by escalating weekly doses. Therapy was continued for as long as tolerated and there was continuing evidence of therapeutic benefit in the opinion of the investigator. Treatment response was assessed by the 2017 European LeukemiaNet (ELN) criteria after Cycle 1 and after each odd-numbered cycle. CRS was graded using the CRS revised grading system (Lee et al., Blood, 2014). Results: At data cut-off, 104 patients with AML, 1 with B-cell ALL, and 1 with CML as their primary diagnosis have been treated at dosages from 0.003 to 12.0 µg/kg vibecotamab. Patients had a median age of 63 years and were heavily pretreated (median of 3 prior therapies [range 1-8], including 32 (30%) who had undergone prior allogeneic stem cell transplantation). The recommended initial priming dose is 0.75 µg/kg; no MTD has been identified. CRS or its component symptoms was the most common treatment-emergent adverse event (TEAE). CRS occurred in 62 of 106 patients (85% grade 1-2, 15% grade ≥3), the majority on the first dose. Additional events consistent with CRS or infusion related reaction were seen in 24% of subjects (chills, fever, tachycardia, hypotension, etc.), and they were mostly mild or moderate severity. No myelosuppression requiring dose modification or evidence of tumor lysis syndrome was seen. Response of CR (2), CRi (3) or MLFS (2) was observed in 7/51 patients (ORR=14%) treated at higher dose levels (0.75 µg/kg). Stable Disease was observed in an additional 36 patients (71%). No CR, CRi, or morphologic leukemia-free state (MLFS) responses were observed at lower doses. Antileukemic activity occurred quickly; 6 out of 7 responders achieved at least a MLFS response after first cycle. A characterization of responders versus non-responders revealed responding patients harbor a lower burden of disease and specific T-cell subtypes. No association was found between response status and CD123 target expression on AML blasts. Conclusions: Vibecotamab demonstrated evidence of antileukemic activity in heavily pretreated patients with relapsed/refractory AML treated at the ≥0.75 µg/kg doses cohorts, with a 14% response rate. CRS was the most common toxicity but was generally manageable with premedications. The study is ongoing with further optimization of dose and schedule. Biomarker data suggest a population of AML patients that are more likely to respond. Additional information will be provided at the time of the meeting. Disclosures Ravandi: Celgene: Consultancy, Honoraria; BMS: Consultancy, Honoraria, Research Funding; Amgen: Consultancy, Honoraria, Research Funding; Orsenix: Consultancy, Honoraria, Research Funding; Abbvie: Consultancy, Honoraria, Research Funding; Astellas: Consultancy, Honoraria, Research Funding; Xencor: Consultancy, Honoraria, Research Funding; Jazz Pharmaceuticals: Consultancy, Honoraria, Research Funding; AstraZeneca: Consultancy, Honoraria; Macrogenics: Research Funding. Stock:Adaptive Biotechnologies: Consultancy, Membership on an entity's Board of Directors or advisory committees; Research to Practice: Honoraria; American Society of Hematology: Honoraria; Leukemia and Lymphoma Society: Research Funding; Novartis: Research Funding; Abbvie: Honoraria, Research Funding; Agios: Consultancy, Membership on an entity's Board of Directors or advisory committees; Morphosys: Consultancy, Membership on an entity's Board of Directors or advisory committees; Kite: Consultancy, Membership on an entity's Board of Directors or advisory committees; Amgen: Consultancy, Membership on an entity's Board of Directors or advisory committees; Servier: Consultancy, Membership on an entity's Board of Directors or advisory committees; Jazz Pharmaceuticals: Consultancy, Membership on an entity's Board of Directors or advisory committees; Pfizer: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; UpToDate: Honoraria. Foran:Xencor: Research Funding; H3Biosciences: Research Funding; Agios: Honoraria, Research Funding; Trillium: Research Funding; Takeda: Research Funding; Kura Oncology: Research Funding; Aptose: Research Funding; Aprea: Research Funding; Actinium: Research Funding; Boehringer Ingelheim: Research Funding; Abbvie: Research Funding; BMS: Membership on an entity's Board of Directors or advisory committees; Pfizer: Membership on an entity's Board of Directors or advisory committees; Servier: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees; Revolution Medicine: Consultancy. Mawad:Adaptive Biotechnologies: Speakers Bureau; Abbvie: Speakers Bureau. Blum:Celyad: Research Funding; Amerisource Bergen: Honoraria; Syndax: Membership on an entity's Board of Directors or advisory committees; Leukemia and Lymphoma Society: Research Funding; Xencor: Research Funding. Yang:Xencor: Current Employment, Current equity holder in publicly-traded company; Jazz Pharmaceuticals: Current equity holder in publicly-traded company, Ended employment in the past 24 months. Pastore:Novartis NIBR East Hanover New Jersey: Current Employment, Current equity holder in publicly-traded company; Memorial Sloan Kettering Cancer Center: Ended employment in the past 24 months. Johnson:Xencor: Current Employment, Current equity holder in publicly-traded company. Zheng:Xencor: Current Employment, Current equity holder in publicly-traded company; Tocagen: Ended employment in the past 24 months. Yilmaz:Pint Pharma: Honoraria; Pfizer: Research Funding; Daicho Sankyo: Research Funding. Mims:Syndax Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees; Abbvie: Membership on an entity's Board of Directors or advisory committees; Kura Oncology: Membership on an entity's Board of Directors or advisory committees; Leukemia and Lymphoma Society: Other: Senior Medical Director for Beat AML Study; Jazz Pharmaceuticals: Other: Data Safety Monitoring Board; Agios: Consultancy; Novartis: Speakers Bureau.

Abstract Purpose: Intratumoral immunosuppression mediated by myeloid-derived suppressor cells (MDSC) and tumor-associated macrophages (TAM) represents a potential mechanism of immune checkpoint inhibitor (ICI) resistance in solid tumors. By promoting TAM and MDSC infiltration, IL1β may drive adaptive and innate immune resistance in renal cell carcinoma (RCC) and in other tumor types. Experimental Design: Using the RENCA model of RCC, we evaluated clinically relevant combinations of anti-IL1β plus either anti-PD-1 or the multitargeted tyrosine kinase inhibitor (TKI), cabozantinib. We performed comprehensive immune profiling of established RENCA tumors via multiparameter flow cytometry, tumor cytokine profiling, and single-cell RNA sequencing (RNA-seq). Similar analyses were extended to the MC38 tumor model. Results: Analyses via multiparameter flow cytometry, tumor cytokine profiling, and single-cell RNA-seq showed that anti-IL1β reduces infiltration of polymorphonuclear MDSCs and TAMs. Combination treatment with anti-IL1β plus anti-PD-1 or cabozantinib showed increased antitumor activity that was associated with decreases in immunosuppressive MDSCs and increases in M1-like TAMs. Conclusions: Single-cell RNA-seq analyses show that IL1β blockade and ICI or TKI remodel the myeloid compartment through nonredundant, relatively T-cell–independent mechanisms. IL1β is an upstream mediator of adaptive myeloid resistance and represents a potential target for kidney cancer immunotherapy.

Recent successes and FDA approvals of CD19 redirected chimeric antigen receptor T cell (CART19) therapy have been achieved in pivotal clinical trials in patients with B cell malignancies. However, durable response rates in non-Hodgkin B cell lymphoma (B-NHL) and chronic lymphocytic leukemia (CLL) are low. Tumor-associated macrophages have emerged as key mediators of tumor-induced CART cell immunosuppression. Axl receptor tyrosine kinase (Axl-RTK) is overexpressed in various human cancers including B-NHL or CLL and correlates with poor overall survival. Thus, several Axl-RTK inhibitors are currently being investigated in clinical trials. We have previously reported that the Axl-RTK inhibitor TP-0903 modulates CART19 function by Th1 polarization. Moreover, we observed a significant reduction in myeloid-derived cytokines in preclinical models. This led us to hypothesize that Axl-RTK inhibition also modulates monocytes which in turn affects CART function. To test our hypothesis, we interrogated the interactions between Axl-RTK inhibition, monocytes, and CART. First, we isolated CD14+ monocytes from peripheral mononuclear cells (PBMCs) from healthy donors by magnetic negative selection. Flow cytometric analysis revealed a robust Axl expression on monocytes (Fig.1A). Monocytes were maintained in ImmunoCult Macrophage Medium (STEMCELL Technologies) and differentiated with lipopolysaccharide and interferon-γ for M1-type and interleukin (IL)-4 for M2-type macrophages. After confirming the macrophage phenotypes, cells were assessed for Axl expression. Flow cytometric analysis demonstrated that M2-type macrophages expressed higher Axl compared to M1 macrophages (Fig.1B). Then, we treated PBMCs from healthy donors with TP-0903 for 24 hours to determine the specific cell types affected by Axl-RTK inhibition. Flow cytometric analysis revealed that monocytes were significantly inhibited by TP-0903 compared to B cells or T cells (Fig.1C). Having demonstrated that TP-0903 strongly suppresses monocytes and that M2-type macrophages express Axl on their surface, we then performed a cytotoxicity assay against CD19+ mantle cell lymphoma cell line, JeKo-1, to study the impact of Axl-RTK inhibition on monocyte-induced CART suppression. We used CART19 generated in our laboratory (FMC63-41BBζ). CART19, JeKo-1, and M2-type macrophages were co-cultured at 1:2:1 ratio and incubated for 3 days. The data revealed that M2-type macrophages strongly suppress CART19 killing (Fig.1D) which could be overcome with TP-0903 (Fig.1E). Next we studied monocyte-induced CART19 suppression with antigen-specific proliferation. CART19, JeKo-1, and monocytes were co-cultured at 1:5:1 ratio and incubated for 5 days. Flow cytometric analysis revealed that in the presence of monocytes, antigen-specific proliferation of CART19 was significantly suppressed, which was reversed in the presence of TP-0903 (Fig.1F). To assess how Axl inhibition modulates myeloid cell-derived cytokines/chemokines, we performed Multiplex (Millipore-Sigma) with the supernatants obtained from these co-culture assays. The presence of monocytes resulted in a significant increase in IL-17a, IL-6, IL-1 receptor agonist, IL-1β, and soluble CD40 ligand. However, Axl-RTK inhibition resulted in selective reduction of those cytokines/chemokines (Fig.1G) while preserving other effector cytokines. Finally, we tested whether Axl-RTK inhibition with TP-0903 could overcome the negative effects of monocytes in vivo. Here, immunocompromised NSG mice were injected with 1x106 luciferase+ JeKo-1 cells intravenously. Ten days later, mice were injected with freshly isolated monocytes derived from a healthy donor. Two weeks after JeKo-1 inoculation, tumor burden was assessed with bioluminescence imaging. Mice were then randomized according to the tumor burden to receive 0.5x106 CART19 as a monotherapy or in combination with 20 mg/kg/day of oral TP-0903. The combination therapy resulted in superior anti-tumor effects and overall survival compared to CART19 monotherapy (Fig.1H-I). In summary, Axl-RTK inhibition with TP-0903 demonstrates a direct suppression of inhibitory monocytes, which in turn enhances CART cell function. Our findings support the strategy of further refining and testing the novel and potent combination of Axl-RTK inhibition and CART cell therapy for the treatment of B cell malignancies. Figure 1 Disclosures Sakemura: Humanigen: Patents & Royalties. Cox:Humanigen: Patents & Royalties. Mouritsen:Sumitomo Dainippon Pharma Oncology, Inc.: Current Employment. Foulks:Tolero Pharmaceuticals, Inc.: Current Employment. Warner:Tolero Pharmaceuticals, Inc.: Current Employment. Ding:Merck: Membership on an entity's Board of Directors or advisory committees, Research Funding; DTRM: Research Funding; Astra Zeneca: Research Funding; Abbvie: Research Funding; Octapharma: Membership on an entity's Board of Directors or advisory committees; MEI Pharma: Membership on an entity's Board of Directors or advisory committees; alexion: Membership on an entity's Board of Directors or advisory committees; Beigene: Membership on an entity's Board of Directors or advisory committees. Parikh:GlaxoSmithKline: Honoraria; Verastem Oncology: Honoraria; Genentech: Honoraria; Ascentage Pharma: Research Funding; AbbVie: Honoraria, Research Funding; Merck: Research Funding; TG Therapeutics: Research Funding; AstraZeneca: Honoraria, Research Funding; Janssen: Honoraria, Research Funding; MorphoSys: Research Funding; Pharmacyclics: Honoraria, Research Funding. Kay:Pharmacyclics: Membership on an entity's Board of Directors or advisory committees, Research Funding; MEI Pharma: Research Funding; Abbvie: Research Funding; Tolero Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees, Research Funding; Bristol Meyer Squib: Membership on an entity's Board of Directors or advisory committees, Research Funding; Acerta Pharma: Research Funding; Sunesis: Research Funding; Astra Zeneca: Membership on an entity's Board of Directors or advisory committees; Agios Pharma: Membership on an entity's Board of Directors or advisory committees; Cytomx: Membership on an entity's Board of Directors or advisory committees; Morpho-sys: Membership on an entity's Board of Directors or advisory committees; Rigel: Membership on an entity's Board of Directors or advisory committees; Oncotracker: Membership on an entity's Board of Directors or advisory committees; Dava Oncology: Membership on an entity's Board of Directors or advisory committees; Juno Theraputics: Membership on an entity's Board of Directors or advisory committees. Kenderian:Mettaforge: Patents & Royalties; Lentigen: Research Funding; MorphoSys: Research Funding; Sunesis: Research Funding; Tolero: Research Funding; BMS: Research Funding; Juno: Research Funding; Gilead: Research Funding; Kite: Research Funding; Novartis: Patents & Royalties, Research Funding; Torque: Consultancy; Humanigen: Consultancy, Patents & Royalties, Research Funding.

Abstract Background: Accumulating evidence suggests a relationship between endometrial cancer and ovarian cancer. Independent genome-wide association studies (GWAS) for endometrial cancer and ovarian cancer have identified 16 and 27 risk regions, respectively, four of which overlap between the two cancers. We aimed to identify joint endometrial and ovarian cancer risk loci by performing a meta-analysis of GWAS summary statistics from these two cancers. Methods: Using LDScore regression, we explored the genetic correlation between endometrial cancer and ovarian cancer. To identify loci associated with the risk of both cancers, we implemented a pipeline of statistical genetic analyses (i.e., inverse-variance meta-analysis, colocalization, and M-values) and performed analyses stratified by subtype. Candidate target genes were then prioritized using functional genomic data. Results: Genetic correlation analysis revealed significant genetic correlation between the two cancers (rG = 0.43, P = 2.66 × 10−5). We found seven loci associated with risk for both cancers (PBonferroni < 2.4 × 10−9). In addition, four novel subgenome-wide regions at 7p22.2, 7q22.1, 9p12, and 11q13.3 were identified (P < 5 × 10−7). Promoter-associated HiChIP chromatin loops from immortalized endometrium and ovarian cell lines and expression quantitative trait loci data highlighted candidate target genes for further investigation. Conclusions: Using cross-cancer GWAS meta-analysis, we have identified several joint endometrial and ovarian cancer risk loci and candidate target genes for future functional analysis. Impact: Our research highlights the shared genetic relationship between endometrial cancer and ovarian cancer. Further studies in larger sample sets are required to confirm our findings.