Logo image
Type I interferon differential therapy for erythroleukemia: Specificity of STAT activation
Journal article   Peer reviewed

Type I interferon differential therapy for erythroleukemia: Specificity of STAT activation

V.S. Cull, P.A. Tilbrook, E.J. Bartlett, N.L. Brekalo and C.M. James
Blood, Vol.101(7), pp.2727-2735
2003
url
Free to Read *No subscription requiredView

Abstract

Type I interferons (IFNs), pleiotropic cytokines with antiviral, antiproliferative, apoptotic, and immunoregulatory functions, are efficacious in the treatment of malignancies, viral infections, and autoimmune diseases. Binding of these cytokines to their cognate receptor leads to activation of the Jak-signal transducers and activators of transcription (STAT) signaling pathway and altered gene expression. This signal pathway has been intensely studied using human IFN-α2 and IFN-β. However, there are over 14 human IFN-α subtypes and over 10 murine IFN-α subtypes, with a single IFN-β subtype in both species. J2E cells are immortalized at the proerythroblast stage of development and produce a rapid and fatal erythroleukemia in vivo. These cells retain the ability to respond to erythropoietin in vitro by proliferating, differentiating, and remaining viable in the absence of serum. Here, we show that J2E cells are also functionally regulated differentially by IFN subtype treatment in vitro. A novel finding was the selective activation of STAT and mitogen-activated protein kinase (MAPK) molecules by different subtypes binding the IFN receptor. These findings indicate distinct effects for individual type I IFN subtypes, which are able to differentially activate members of the STAT and MAPK family. Finally, we investigated the efficacy of IFN naked DNA therapy in treating J2E-induced erythroleukemia in athymic nude mice. IFN subtypes differentially regulated the onset of erythroleukemia with delayed onset and increased survival, possibly via a reduction in cell viability, and enhanced antiproliferative and apoptotic effects observed for IFNA6 and IFNA9treatment, respectively. Moreover, these data highlight the necessity to choose the best IFN subtype in disease treatment.

Details

UN Sustainable Development Goals (SDGs)

This output has contributed to the advancement of the following goals:

#3 Good Health and Well-Being

Source: InCites

Metrics

InCites Highlights

These are selected metrics from InCites Benchmarking & Analytics tool, related to this output

Collaboration types
Domestic collaboration
Citation topics
1 Clinical & Life Sciences
1.6 Immunology
1.6.1264 STAT3 Signaling
Web Of Science research areas
Hematology
ESI research areas
Clinical Medicine
Logo image