Preclinical efficacy of CDK7 inhibitor–based combinations against myeloproliferative neoplasms transformed to AML
Abstract
Abstract Rising blast percentage or secondary acute myeloid leukemia (sAML) transformation in myeloproliferative neoplasms (MPNs) leads to JAK1/2 inhibitor (JAKi) therapy resistance and poor survival. Here, we demonstrate that treatment with the CDK7 inhibitor (CDK7i) SY-5609 depletes phenotypically characterized post-MPN sAML stem/progenitor cells. In cultured post-MPN sAML SET2, HEL and patient-derived (PD) post-MPN sAML cells, SY-5609 treatment inhibited growth and induced lethality while sparing normal cells. RNA-sequencing analysis after SY-5609 treatment reduced mRNA expression of MYC, MYB, CDK4/6, PIM1, and CCND1 but increased expression of CDKN1A and BCL2L1. Mass spectrometry of SY-5609–treated MPN-sAML cells also reduced c-Myc, c-Myb, PIM1, and CDK4/6 but increased p21, caspase-9, and BAD protein levels. CRISPR-mediated CDK7 depletion also reduced cell viability of HEL cells. Cytometry by time of flight (CyTOF) analysis of SY-5609–treated PD post-MPN sAML stem/progenitor cells showed reduced c-Myc, CDK6, and PU.1 but increased protein levels of CD11b, p21, and cleaved caspase-3. Cotreatment with SY-5609 and ruxolitinib was synergistically lethal in HEL, SET2, and PD post-MPN sAML cells. A CRISPR screen in sAML cells revealed BRD4, CBP, and p300 as codependencies with CDK7i. Accordingly, cotreatment with SY-5609 and the bromodomain and extra-terminal protein inhibitor (BETi) OTX015 or pelabresib or the CBP/p300 inhibitor GNE-049 was synergistically lethal in MPN-sAML cells (including those exhibiting TP53 loss). Finally, in the HEL-Luc/GFP xenograft model, compared with each agent alone, cotreatment with SY-5609 and OTX015 reduced sAML burden and improved survival without host toxicity. These findings demonstrate promising preclinical activity of CDK7i-based combinations with BETi or CBP/p300 inhibitor against advanced MPNs, including post-MPN sAML.
Article Details
Authors (23)
Warren Fiskus
1The University of Texas MD Anderson Cancer Center, Houston, TX
Christopher P. Mill
1The University of Texas MD Anderson Cancer Center, Houston, TX
Prithviraj Bose
5University of Texas MD Anderson Cancer Center, Houston, United States
Lucia Masarova
1The University of Texas MD Anderson Cancer Center, Leukemia, Houston, United States
Naveen Pemmaraju
The University of Texas MD Anderson Cancer Center, Houston, Texas, United States
Andrew Dunbar
3MD Anderson, Houston, United States
Christine E. Birdwell
1Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX
John A. Davis
1Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX
Kaberi Das
1The University of Texas MD Anderson Cancer Center, Houston, United States
Hanxi Hou
1The University of Texas MD Anderson Cancer Center, Houston, TX
Taghi Manshouri
3MD Anderson, Houston, United States
Antrix Jain
Anna Malovannaya
Kevin Philip
1The University of Texas MD Anderson Cancer Center, Houston, United States
Noor Alhamadani
1Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX
Alicia Matthews
1The University of Texas MD Anderson Cancer Center, Houston, United States
Katie Lin
4Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX
Lauren B. Flores
1The University of Texas MD Anderson Cancer Center, Houston, TX
Sanam Loghavi
Courtney DiNardo
1The University of Texas MD Anderson Cancer Center, Leukemia, Houston, United States
Xiaoping Su
Department of Biostatistics and Computational Biology, The University of Texas MD Anderson Cancer Center
Raajit K. Rampal
11Leukemia Service, Memorial Sloan Kettering Cancer Center, New York, NY
Kapil N. Bhalla
1The University of Texas MD Anderson Cancer Center, Houston, TX