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Record W4389230267 · doi:10.1182/blood-2023-188892

Wilms' Tumor 1 Functions As a Tumor Suppressor to Suppress FLT3-STAT Signaling and Epigenetic Remodeling in Acute Myeloid Leukemia (CALGB 8461, 9665 and 20202; Alliance)

2023· article· en· W4389230267 on OpenAlexaff
Daelynn R. Buelow, Xining Yang, Deedra Nicolet, Krzysztof Mrózek, Kathrin Krowiorz, R Bhayadia, Jack C. Stromatt, Anna K Denny, Christoph Wiegel, Colin Corbett, Salma Abdelbaky, Yonger Xue, Yizhou Dong, Jeremy Man Ho Hui, Arshia Shad, Sharon Gao, Si Wei Wu, Marion T.J. van den Bosch, Liam MacPhee, Leo Escano, James S. Blachly, Jonathan E. Kolitz, William Blum, Maria R. Baer, Jan‐Henning Klusmann, Ann‐Kathrin Eisfeld, A. MAUREEN ROUHI, Sharyn D. Baker, Florian Kuchenbauer, Christopher C. Oakes

Bibliographic record

VenueBlood · 2023
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsOccupational Cancer Research CentreTerry Fox Research Institute
Fundersnot available
KeywordsCancer researchBiologyMyeloid leukemiaEpigeneticsNPM1OncogeneTranscription factorLeukemiaCancerImmunologyGeneticsGeneCell cycle

Abstract

fetched live from OpenAlex

The Wilms' Tumor 1 ( WT1) gene is a transcription factor that is recurrently mutated or commonly overexpressed in several cancer types. In acute myeloid leukemia (AML), frequent overexpression of WT1 and poor patient outcomes associated with WT1 mutations highlight its importance in the disease; however, there are no tailored treatments for these patients. Furthermore, WT1's fundamental role as either an oncogene or tumor-suppressor remains unresolved. Here we examine the roles of both wild-type and mutant WT1 in AML through epigenetic and mechanistic studies. Using our findings we propose a personalized treatment strategy. WT1 mutations are enriched in the NPM1 mut subset of AML; thus we first focused our study on a cohort of 581 patients with de novo AML and NPM1 mutations enrolled on Alliance for Clinical Trials in Oncology studies. Transcriptomic analyses revealed that WT1 mut patientsphenocopied a distinct, aberrant gene expression signature associated with FLT3 internal tandem duplications (ITD), a mutation known to activate STAT signaling and associated with poor outcome in AML. We observed that WT1 expression levels were remarkably elevated in FLT3-ITD patients and were driven by STAT5A binding to the WT1 promoter. STAT5A binding and subsequent WT1 upregulation were blocked by small molecule FLT3 inhibitors. These findings linking FLT3 activity with WT1 expression raise two possibilities: either WT1 is an oncogene cooperating with the FLT3-STAT pathway, or WT1 naturally functions to suppress FLT3 signaling in a negative feedback loop subverted by WT1 mutations. As WT1 interacts with TET2 to facilitate epigenetic remodeling and DNA binding, we performed genome-wide DNA methylation analysis on WT1 mut AML patients and observed selective hypermethylation of WT1 binding motifs consistent with loss of function. We confirmed that WT1 mutations in AML commonly cause truncation of the C-terminal DNA binding domain in our patient cohort. Using co-immunoprecipitation, ChIP-sequencing and luciferase reporter assays, we found that mutant WT1 functions as a dominant-negative, inhibiting WT1 derived from the wild-type allele. Investigation of WT1 target genes by intersecting transcriptomic and DNA methylation profiles identified hypermethylation and downregulation of miR-193a, leading to a significant downregulation of miR-193a-3p in WT1 mut AML patients. Overexpression of wild-type, but not mutated, WT1 rescued miR-193a expression in AML cell lines. Enforced expression of miR-193a significantly delayed AML onset in vivo. In addition, overexpression of miR-193a in multiple human AML cell lines and primary patient samples impaired AML cell growth and colony-forming capacity while promoting monocytic differentiation, underscoring its role as potent tumor suppressor. Therapeutic modulation of miRNA levels in cancer patients has been limited by inefficient delivery and tissue enrichment. To overcome this, we tested a novel lipid-nanoparticle (LNP) formulation of miR-193a-3p (INT-1B3), currently being investigated in a phase I clinical trial (NCT04675996). Biweekly i.v. treatments of INT-1B3 in the immunocompetent Hoxa9/Meis1 (H9M)-transduced model system prevented AML formation, highlighting the potent anti-leukemic activity of this miRNA based therapeutic. Overexpression of miR-193a-loaded LNPs downregulated FLT3 expression and suppressed STAT signaling in primary AML samples. Finally, treatment of primary AML cells with FLT3 inhibitors revealed enhanced sensitivity of WT1 mut cells in the absence of FLT3-ITD, highlighting the role of wild-type FLT3 in WT1 mut cells. In summary, we uncovered a critical negative-feedback loop maintained by WT1 to suppress FLT3 activity. Loss-of-function WT1 mutations subvert the tumor suppressor function of WT1 via failure to maintain miR-193a expression, leading to increased FLT3 expression and STAT5 signaling, subsequently impairing differentiation, increasing proliferation and disease aggressiveness in AML (Figure 1). Our findings advocate for use of FLT3 inhibition and miR-193a supplementation for treatment of WT1 mut patients, a subgroup with poor outcomes and no targeted treatment options.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.020
GPT teacher head0.287
Teacher spread0.267 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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