Evidence map›Paper›PMID 42248070›Full record

ArticleCancer research communications2026

p97 Inhibition Synergistically Enhances Hypomethylating Therapy through Targeting of PLK1 in Acute Myeloid Leukemia.

Steffan T Nawrocki, Ning Wang, Claudia M Espitia, Harley Wu, Claudia Villa Celi, Julian Olea, Paniz Zarand, Homa Dadrastoussi, Hittu Matta, Sruthi Sureshkumar and 10 more

Abstract read
In one paragraph

Article in Cancer research communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors.

Steffan T NawrockiDivision of Translational Medicine, Department of Medicine, University of Arizona Cancer Center, Tucson, Arizona.ORCID 0000-0001-8767-3969
Ning WangDivision of Hematology, Department of Medicine, University of Southern California, Los Angeles, California.ORCID 0000-0003-2016-5630
Claudia M EspitiaDivision of Translational Medicine, Department of Medicine, University of Arizona Cancer Center, Tucson, Arizona.ORCID 0000-0002-4109-2584
Harley WuDivision of Hematology, Health Sciences Campus, University of Southern California, Los Angeles, California.ORCID 0009-0004-3062-7450
Claudia Villa CeliDivision of Hematology and Oncology, Cleveland Clinic Florida, Weston, Florida.ORCID 0000-0001-6727-0505
Julian OleaDivision of Hematology, Health Sciences Campus, University of Southern California, Los Angeles, California.ORCID 0009-0008-9040-0804
Paniz ZarandDivision of Hematology, Health Sciences Campus, University of Southern California, Los Angeles, California.ORCID 0000-0002-0643-4059
Homa DadrastoussiDivision of Hematology, Health Sciences Campus, University of Southern California, Los Angeles, California.ORCID 0000-0002-5611-2883
Hittu MattaDivision of Hematology, Health Sciences Campus, University of Southern California, Los Angeles, California.ORCID 0000-0001-7660-9398
Sruthi SureshkumarDivision of Translational Medicine, Department of Medicine, University of Arizona Cancer Center, Tucson, Arizona.ORCID 0009-0004-9317-0371
Madison E GambleDivision of Translational Medicine, Department of Medicine, University of Arizona Cancer Center, Tucson, Arizona.ORCID 0009-0006-3731-7142
Natalie L HakimDivision of Translational Medicine, Department of Medicine, University of Arizona Cancer Center, Tucson, Arizona.ORCID 0000-0002-8617-6319
David DrumDivision of Hematology, Health Sciences Campus, University of Southern California, Los Angeles, California.ORCID 0009-0005-0845-4167
Jack AngelesDivision of Hematology, Health Sciences Campus, University of Southern California, Los Angeles, California.ORCID 0009-0002-6312-2171
Kaijin WuDivision of Hematology, Health Sciences Campus, University of Southern California, Los Angeles, California.ORCID 0009-0005-6604-5775
Jiang F ZhongDepartment of Basic Science, School of Medicine, Loma Linda University, Loma Linda, California.ORCID 0000-0003-0551-5161
Xuelian ChenDivision of Hematology, Health Sciences Campus, University of Southern California, Los Angeles, California.ORCID 0000-0001-9051-0802
Alex DuongDivision of Hematology, Health Sciences Campus, University of Southern California, Los Angeles, California.ORCID 0009-0006-3638-1740
Jennifer S CarewDivision of Translational Medicine, Department of Medicine, University of Arizona Cancer Center, Tucson, Arizona.ORCID 0000-0002-8578-8292
Kevin R KellyDivision of Hematology, Health Sciences Campus, University of Southern California, Los Angeles, California.ORCID 0000-0002-3638-5956

Funding

VITAMIN AP30CA023074 · NCI · UNIVERSITY OF ARIZONA · PI Dan Theodorescu · 1985 to 2026
$110.2M
Targeting Lysosomal Vulnerabilities in Renal PathogenesisR01CA268383 · NCI · UNIVERSITY OF ARIZONA · PI Jennifer S Carew, Steffan T Nawrocki · 2022 to 2026
$2.4M
L. K. Whittier FoundationNational Cancer Institute (NCI) P30CA014089National Cancer Institute (NCI) P30CA023074National Cancer Institute (NCI) R01CA268383NCI NIH HHS P30 CA023074NCI NIH HHS R01 CA268383
6 · The paper itself

Abstract

Acute myeloid leukemia (AML) remains defined by therapeutic resistance, adverse genetic heterogeneity, and poor long-term survival, underscoring the need for mechanistically informed regimens that exploit core stress-adaptation liabilities. Polo-like kinase 1 (PLK1) is a central regulator of replication recovery and mitotic progression, yet direct PLK1 inhibitors have been limited by tolerability and incomplete target suppression. Here, we define a clinically actionable strategy that functionally targets PLK1 by combining inhibition of the AAA+ ATPase p97/valosin-containing protein with the hypomethylating agent decitabine (DAC). Using AML cell lines, primary patient specimens, and an orthotopic in vivo model, we show that the clinically relevant p97 inhibitor CB-5339 induces proteotoxic and replication stress, activates the unfolded protein response, and triggers apoptosis. Formal synergy analyses demonstrate that CB-5339 and DAC cooperate across molecular subtypes, including FLT3-ITD+, KMT2A-rearranged, and TP53-mutant AML, to reduce cell viability at pharmacologically relevant concentrations. Transcriptomic, biochemical, and genetic studies identify synergistic suppression of PLK1 as a central consequence of combination treatment, converting stress-dependent PLK1 reliance into a therapeutic vulnerability. Consistent with this mechanism, PLK1 knockdown phenocopies the antileukemic effects of the combination and enhances sensitivity to both agents. In vivo, CB-5339/DAC is well tolerated, significantly prolongs survival, reduces leukemic burden, and suppresses PLK1 in bone marrow blasts. Together, these data establish p97 inhibition as a rational means to exploit replication and proteotoxic stress in AML and provide strong rationale for clinical evaluation of CB-5339 plus DAC in high-risk disease. SIGNIFICANCE: This study defines a clinically actionable strategy to overcome therapeutic resistance in AML by functionally suppressing PLK1 through combined p97 inhibition and hypomethylating therapy. By exploiting convergent proteotoxic and replication stress, the regimen produces robust, well-tolerated antileukemic activity across high-risk genetic subtypes, supporting near-term clinical evaluation.

Indexed as

Cell Cycle ProteinsDecitabineLeukemia, Myeloid, AcuteProtein Serine-Threonine KinasesProto-Oncogene ProteinsAnimalsApoptosisCell Line, TumorDrug SynergismHumansMicePolo-Like Kinase 1Xenograft Model Antitumor AssaysCell Cycle ProteinsDecitabinePolo-Like Kinase 1Protein Serine-Threonine KinasesProto-Oncogene Proteins

Identifiers

PMID42248070
PMCPMC13306721

What Socratic holds

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LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.