Total Results: 7
Hagen, Johannes; Malmberg, Hannes
2022.
A cofinancing model for disability insurance and local government employers.
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Employer cofinancing in disability insurance (DI) systems aims to reduce the inflow to DI by making employers internalise their DI costs. We evaluate a cofinancing system for the local government sector in Sweden inspired by the literature on yardstick competition. In the system, local governments are responsible for the DI of their employees, while being compensated by the central government for their expected DI payments. The arrangement essentially eliminates the large fiscal externalities associated with DI. Also, the arrangement can be implemented within current administrative setups, and the design credibly ensures that no extra costs are imposed on the local government sector in the aggregate. Drawing on Swedish employer-employee matched data, we show that the net transfers implied by the scheme are quite large as a share of DI payments, but sufficiently small as a share of tax payments to not be onerous, and that they only marginally increase regional inequality.
Woan, Karrune V.; Kim, Hansol; Bjordahl, Ryan; Davis, Zachary B.; Gaidarova, Svetlana; Goulding, John; Hancock, Brian; Mahmood, Sajid; Abujarour, Ramzey; Wang, Hongbo; Tuininga, Katie; Zhang, Bin; Wu, Cheng-Ying; Kodal, Behiye; Khaw, Melissa; Bendzick, Laura; Rogers, Paul; Ge, Moyar Qing; Bonello, Greg; Meza, Miguel; Felices, Martin; Huffman, Janel; Dailey, Thomas; Lee, Tom T.; Walcheck, Bruce; Malmberg, Karl J.; Blazar, Bruce R.; Bryceson, Yenan T.; Valamehr, Bahram; Miller, Jeffrey S.; Cichocki, Frank
2021.
Harnessing features of adaptive NK cells to generate iPSC-derived NK cells for enhanced immunotherapy.
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Gagne, Roderick B.; Crooks, Kevin; Craft, Meggan E.; Chiu, Elliott S.; Fountain‐Jones, Nicholas M.; Malmberg, Jennifer L.; Carver, Scott; Funk, Christopher C.; VandeWoude, Sue
2021.
Parasites as conservation tools.
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Fein, Joshua A; Shouval, Roni; Krieger, Elizabeth; Baldauf, Henning; Fleischhauer, Katharina; Kroeger, Nicolaus; Horowitz, Mary M.; Maiers, Martin; Malmberg, Karl-Johan; Miller, Jeffrey S.; Mohty, Mohamad; Nagler, Arnon; Romee, Rizwan; Schetelig, Johannes; Spellman, Stephen R.; Toor, Amir Ahmed; Wang, Tao; Weisdorf, Daniel J.; Koreth, John
2021.
KIR-HLA Interactions Lack Clinical Utility in Matched Unrelated Donor Transplantation for AML: An Analysis of the CIBMTR and DRST Registries.
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Background: The interaction between donor killer immunoglobulin-like receptor (KIR) and recipient HLA has been postulated to enhance the graft-versus-leukemia effect in allogeneic hematopoietic cell transplantation (HCT) for acute myeloid leukemia (AML). Historically, analyses of individual interactions between single KIR and their respective HLA ligands have yielded conflicting findings, and the clinical importance of these interactions in the matched unrelated donor (MUD) setting remains controversial. Here, we applied a systematic approach, studying both a wide range of KIR and class I HLA interactions at the single-receptor level as well as the most prevalent KIR genotypes in a large cohort of AML patients undergoing MUD transplantation.Methods: We included adult AML patients in complete remission transplanted from an 8/8-HLA MUD between 2010 and 2016 and reported to the Center for International Blood and Marrow Transplant Research (CIBMTR). Donor-KIR and respective recipient-HLA ligand interactions were assessed in multivariable Cox proportional hazard models for standard transplantation outcomes. To account for the compound effect of simultaneous KIR/HLA interactions, we applied a combinatorial approach to identify aggregate KIR genotypes based on combinations of individual KIR genes. The most frequently observed donor-KIR genotypes, in combination with recipient ligands, were evaluated for association with relapse using multivariable regression. Those associated (p < 0.01) with relapse risk were evaluated for differential relapse in a DRST (German stem-cell registry)/Collaborative Biobank cohort of donors/patients with similar inclusion criteria.Results: A total of 2,036 transplantations from the CIBMTR were included. Most patients were treated in first complete remission (78%) and received myeloablative conditioning (59%). We first studied eight known interactions between donor KIR and their respective HLA ligands (Figure A). Only donor-KIR-2DL2+/recipient-HLA-C1+ was associated with reduced relapse (compared to donor-KIR-2DL2-/recipient-HLA-C1+, hazard ratio [HR] 0.80 [95% confidence interval 0.67-0.94], p=0.008). However, no difference was found when comparing HLA-C group pairs among KIR-2DL2+ recipients, suggesting this finding is confounded by co-occurrence of other receptors.There are hundreds of possible KIR gene combinations (i.e. genotypes), which are typically clustered into two primary haplotypes, A and B. To study the cumulative effect of donor KIR, we investigated nine prevalent KIR genotypes (Figure B) and identified three significantly associated with relapse risk. (1) Donor KIR genotype 5 in all recipients irrespective of their HLA (Figure C, n = 138/2,036) and (2) genotype 3 in HLA-Bw4/x recipients (Figure D, n = 51/1,198) had significantly decreased relapse risk (HR 0.53 [0.37-0.78], p=0.002 and 0.34 [0.15-0.75], p=0.008, respectively). (3) KIR genotype 2 was associated with greater relapse in HLA-C1-homozygous recipients (Figure E, n = 87/836, HR 1.62 [1.14-2.30], p=0.007). These findings were not confirmed in the external European dataset (n = 796, Figure 1C-E); however, this cohort differed in ways that might affect the importance of KIRs, such as the higher frequency of reduced intensity conditioning (74% vs. 41%) and in-vivo T-cell depletion (79% vs. 37%).Conclusion: Our systematic investigation in two large AML cohorts receiving MUD allogenic HCT did not validate any association between individual KIR-HLA interactions and clinical outcomes. A combinatorial approach identified combinations potentially protective against relapse, however these could not be confirmed in a second dataset. Overall, our findings do not support KIR-informed donor selection using the approaches outlined here.Figure 1 Figure 1.
Chiu, Emily; Felices, Martin; Cichocki, Frank; Davis, Zachary; Wang, Hongbo; Tuninga, Katie; Vallera, Daniel A.; Lee, Tom; Bjordahl, Ryan; Malmberg, Karl Johan; Valamehr, Bahram; Miller, Jeffrey S.
2021.
Anti-NKG2C/IL-15/anti-CD33 Killer Engager Directs Primary and iPSC-derived NKG2C+ NK cells to Specifically Target Myeloid Leukemia.
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Natural killer cells mediate cytolysis of transformed cells and are currently used as an adoptive cellular therapy to treat cancer. Infection with human cytomegalovirus has been shown to expand a subset of "adaptive" NK cells, expressing the activation receptor NKG2C, that have preferred functional attributes distinct from conventional NK cells. Because NKG2C delivers a strong activating signal to NK cells, we hypothesized that NKG2C could specifically trigger NK cell-mediated antitumor responses. To elicit a tumor-directed response from NKG2C(+) NK cells, we created an anti-NKG2C/IL-15/anti-CD33 killer engager, called NKG2C-KE, that directs NKG2C(+) cells to target CD33(+) cells, and tumor associated antigen expressed by acute myelogenous leukemia cells. The NKG2C-KE induced specific degranulation, interferon-γ production and proliferation of NKG2C-expressing NK cells from patients who reactivated cytomegalovirus after allogeneic transplantation. The NKG2C-KE was also tested in a more homogeneous system using induced pluripotent stem cell derived NK cells (iNK) that have been engineered to express NKG2C at high levels. The NKG2C-KE triggered iNK cell-mediated cytotoxicity against CD33(+) cells and primary AML blasts. The NKG2C-KE specific interaction with adaptive NK and NKG2C(+) iNK cells represents a new immunotherapeutic paradigm that uniquely engages highly active NK cells to induce cytotoxicity against AML through redirected targeting.
Malmberg, Hannes; Öberg, Erik
2020.
Price Level Determination When Tax Payments Are Required in Money.
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Malmberg, Hannes; Hössjer, Ola
2014.
Probabilistic Choice with an Infinite Set of Options: An Approach Based on Random Sup Measures.
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Total Results: 7