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A JAK/STAT-Mediated Inflammatory Signaling Cascade Drives Oncogenesis In AF10-Rearranged AML

Authors :
Torsten Haferlach
Sumit K. Chanda
Peter D. Adams
Alexandre Rosa Campos
Soheil Meshinchi
Robert J. Wechsler-Reya
Karina Barbosa
Ross L. Levine
Aniruddha J. Deshpande
Anindya Bagchi
Ze'ev Ronai
Anagha Deshpande
Narayana Yeddula
Scott A. Armstrong
Connie J. Eaves
David A. Frank
Irmela Jeremias
Xue Li
Bo-Rui Chen
Maria Kleppe
Publication Year :
2020
Publisher :
Cold Spring Harbor Laboratory, 2020.

Abstract

Leukemias bearing fusions of the AF10/MLLT10 gene are associated with poor prognosis, and therapies targeting these fusion proteins are lacking. To understand mechanisms underlying AF10 fusion-mediated leukemogenesis, we generated inducible mouse models of AML driven by the most common AF10 fusion proteins, PICALM/CALM-AF10 and KMT2A/MLL-AF10, and performed comprehensive characterization of the disease using transcriptomic, epigenomic, proteomic, and functional genomic approaches. Our studies provide a comprehensive map of gene networks and protein interactors associated with key AF10 fusions involved in leukemia. Specifically, we report that AF10 fusions activate a cascade of JAK/STAT-mediated inflammatory signaling through direct recruitment of JAK1 kinase. Inhibition of the JAK/STAT signaling by genetic Jak1 deletion or through pharmacological JAK/STAT inhibition elicited potent anti-oncogenic effects in mouse and human models of AF10 fusion AML. Collectively, our study identifies JAK1 as a tractable therapeutic target in AF10-rearranged leukemias.STATEMENT OF SIGNIFICANCEGene fusions of AF10/MLLT10 are recurrent in acute myeloid and lymphoid leukemia and are associated with extremely poor survival outcomes. We show that the JAK1 kinase is required for activation of the AF10 fusion oncotranscriptome and for leukemogenesis. Since a number of JAK/STAT pathways inhibitors are in clinical development or approved for use, our studies may help develop a therapeutic strategy for AF10-rearranged leukemias.

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........48058d0eef02b1a5f87074bdd175c359