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Record W3214146106 · doi:10.1182/blood-2021-154278

STAT5 Signaling Promotes Resistance to Ivosidenib in <i>IDH1</i>-Mutated AML

2021· article· en· W3214146106 on OpenAlexaff
Alex C.H. Liu, Séverine Cathelin, Steven M. Chan

Bibliographic record

VenueBlood · 2021
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsUniversity of TorontoPrincess Margaret Cancer CentreUniversity Health Network
Fundersnot available
KeywordsIDH1Isocitrate dehydrogenaseCancer researchSykMyeloid leukemiaMyeloidMutantBiologyCell biologySignal transductionTyrosine kinaseGeneticsGeneBiochemistry

Abstract

fetched live from OpenAlex

Abstract Mutations in isocitrate dehydrogenase 1 (IDH1) promote leukemic transformation through the production of an oncometabolite, 2-hydroxyglutarate (2-HG). Ivosidenib is an inhibitor of mutant IDH1 approved for the treatment of IDH1-mutated AML. Treatment with ivosidenib can induce terminal differentiation of leukemic blasts via suppression of 2-HG. However, ivosidenib as a single agent has limited efficacy, highlighting the need to better understand the mechanisms of drug resistance. The study of drug resistance mechanisms has been hindered by the lack of IDH1/2-mutated AML cell lines models. To address this issue, we derived an Idh1-mutated AML cell line from bone marrow cells of a murine AML model generated by crossing mice expressing mutant Idh1R132H with mice expressing mutant Npm1 (Npm1c). This cell line (henceforth termed "OCI-mIDH1/N") undergoes partial myeloid differentiation in response to ivosidenib treatment in vitro. The establishment of OCI-mIDH1/N enabled us to perform a genome-wide CRISPR knockout screen to identify genes that upon inactivation, increased the differentiation response to ivosidenib. Through this screen, we identified C-type lectin member 5a (Clec5a) as one of the top hits. Clec5a encodes a cell surface receptor that signals through the intracellular spleen tyrosine kinase (SYK). To confirm this hit, we generated Clec5a knockout clones of OCI-mIDH1/N cells. Consistent with results of the screen, ivosidenib treatment induced higher levels of Gr-1, a myeloid differentiation marker, on Clec5a-/- cells than on parental Clec5a+/+ cells. Next, we investigated the role in SYK. Clec5a-/- cells had lower levels of pSYK compared with Clec5a+/+ cells, and overexpression of Syk in Clec5a-/- cells reversed their sensitization to ivosidenib. Furthermore, direct inhibition of SYK with fostamatinib was sufficient to sensitize Clec5a+/+ cells to ivosidenib. Our findings show that CLEC5A-SYK signaling promotes resistance to ivosidenib-induced differentiation. Mechanistically, we found that CLEC5A-SYK signaling drives ivosidenib resistance through STAT5 dependent expression of self-renewal genes in the HOX family. Clec5a-/- and Syk-/- OCI-mIDH1/N cells exhibited lower levels of STAT5 activation compared with wildtype cells. Furthermore, SYK inhibitor treatment downregulated pSTAT5 and decreased STAT5 occupancy at HOX gene clusters. Functionally, overexpression of constitutively active STAT5 in Clec5a-/- and Syk-/- cells reversed their heightened sensitivity to ivosidenib and increased the expression of key HOX self-renewal genes. To determine the clinical relevance of these findings, we analyzed two independent RNA-seq datasets from patients treated with IDH inhibitors (Quek et al., 2018; Wang et al., 2021). Gene set enrichment analysis revealed that poor responders expressed significantly higher levels of STAT5 target genes compared with responders in both datasets. Mutations in the receptor tyrosine kinase (RTK) pathway have previously been shown to be associated with resistance to IDH inhibitors. Given that these pathways signal through STAT5, we hypothesized that the mechanism by the RTK mutations confer ivosidenib resistance is through STAT5 activation. To test this hypothesis, we ectopically expressed KRASG12D or PTPN11E76G in OCI-mIDH1/N cells. Expression of the oncogenes increased pSTAT5 and conferred resistance to ivosidenib-induced differentiation. Importantly, knockdown of Stat5 completely restored their sensitivity to ivosidenib, in support for our hypothesis. Next, we tested if the STAT5 inhibitor pimozide synergizes with ivosidenib to treat patient-derived xenograft (PDX) models of human IDH1-mutated AML. In two PDX models where ivosidenib alone induced moderate differentiation, the addition of pimozide to ivosidenib significantly increased the expression of myeloid differentiation markers on AML cells. In two PDX models where ivosidenib alone induced no differentiation, pimozide alone was sufficient to induce profound differentiation of AML cells. Collectively, these results suggest that ivosidenib resistant cells shift their dependence from 2-HG to STAT5 to maintain their undifferentiated state. In summary, our findings demonstrate that STAT5 is a critical mediator of resistance to ivosidenib, and combination therapy with pimozide and ivosidenib is a promising therapeutic approach for IDH1-mutated AML. Disclosures Chan: BMS: Research Funding; AbbVie: Research Funding.

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 score0.003
Threshold uncertainty score0.009

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.019
GPT teacher head0.292
Teacher spread0.273 · 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".

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Citations0
Published2021
Admission routes1
Has abstractyes

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