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Combined Targeting of STAT3 and STAT5: A Novel Approach to Overcome Drug Resistance in Ph+ Cml

2016· article· en· W2607663437 on OpenAlexaff
Karoline V. Gleixner, Mathias Schneeweiss‐Gleixner, Harald Herrmann, Katharina Blatt, Daniela Berger, Gregor Eisenwort, Georg Greiner, Konstantin Byrgazov, Gregor Hoermann, Marina Konopleva, Patrick T. Gunning, Hiroshi Maeda, Richard Moriggl, Michael W. Deininger, Thomas Lion, Michael Andreeff, Peter Valent

Bibliographic record

VenueBlood · 2016
Typearticle
Languageen
FieldMedicine
TopicChronic Myeloid Leukemia Treatments
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPonatinibDasatinibNilotinibBosutinibImatinibCancer researchImatinib mesylateTyrosine kinaseMyeloid leukemiaMedicinePharmacologyInternal medicine

Abstract

fetched live from OpenAlex

Abstract Chronic myeloid leukemia (CML) is a stem cell disease characterized by BCR-ABL1. Most patients in chronic phase (CP) CML achieve long-lasting molecular responses when treated with BCR-ABL1 tyrosine kinase inhibitors (TKI). However, resistance against TKI occurs in a subset of patients. Several molecular mechanisms, including BCR-ABL1 mutations, contribute to TKI resistance. For imatinib-resistant patients, second- and third generation TKI, including nilotinib, dasatinib, bosutinib, and ponatinib, are available. Using these drugs, it is now possible to cover most of the known BCR-ABL1 mutations, including the multi-resistant mutation T315I. Ponatinib, a third generation TKI, induces growth-inhibitory effects in drug-resistant patients even if T315I is expressed. However, not all mutant forms of BCR-ABL1 are responsive to ponatinib. Moreover, it has been described that multiple secondary mutations in BCR-ABL1, especially T315I-involving compound mutations, confer resistance against ponatinib. Furthermore, resistance against TKI may develop independent of BCR-ABL1 mutations. Therefore, drug combinations covering a broad range of targets, are currently under investigation with the aim to overcome drug resistance in advanced CML. Bardoxolone methyl (CDDO-Me) is an oleanane triterpenoid that has been described to induce ROS generation and to suppress a number of survival-related molecules, including AKT, mTOR, and STAT3. The aim of the current project was to evaluate the anti-leukemic effects of CDDO-Me in TKI-resistant CML cells. As assessed by 3H-thymidine uptake experiments, CDDO-Me was found to inhibit growth of various CML cell lines, including K562, an imatinib resistant sub-clone of K562, KU812, and imatinib-resistant KCL22 cells (IC50: 0.1-0.5 µM). These effects were accompanied by induction of apoptosis as assessed by staining for AnnexinV and propidium iodide. Furthermore, CDDO-Me was found to block the growth of Ba/F3 cells harboring the BCR-ABL1 mutations T315I, E255K, G250E, H396P, or F359V as well as Ba/F3 cells expressing TKI-resistant compound mutations, such as T315I/E255V, T315I/F311L, T315I/F359V, or T315I/G250E (IC50: 0.1-0.25 µM). The anti-proliferative effects of CDDO-Me were also confirmed in primary CML cells isolated from 13 patients with chronic phase (CP) CML (4 TKI-resistant patients, 3 with BCR-ABL1 mutations), one in blast phase (BP), and one suffering from ponatinib-resistant Ph+ ALL harboring BCR-ABL1T315I/E255K. IC50 values were comparable between samples isolated from freshly diagnosed patients (IC50: 0.1-0.5 µM) and samples isolated from heavily pre-treated patients, (IC50: 0.1-0.5 µM) suggesting that BCR-ABL1 mutations do not influence responses to this drug. In consecutive experiments, CDDO-Me was found to produce synergistic growth-inhibitory effects when combined with second- or third-generation BCR-ABL1 TKI. The combination ´CDDO-Me+ponatinib´ was found to be effective in Ba/F3 cells expressing various BCR-ABL1 mutations, including T315I-involving compound mutations. We also found that the combination ´CDDO-Me+TKI´ leads to simultaneous dephosphorylation of STAT3 and STAT5. To clarify whether this drug action contributes to the synergistic drug-interactions observed, we performed experiments with shRNA directed against STAT3 or STAT5 and the specific STAT5-inhibitor AC-3-019. Knockdown of STAT3 was found to produce synergistic effects with TKI and with AC-3-019 in K562 and KCL22 cells, whereas STAT5-knockdown sensitized CML cells against CDDO-Me, pointing to a new effective concept of dual STAT3+STAT5 inhibition. However, CDDO-Me was also found to increase expression of heme-oxygenase-1 (HO-1), a heat-shock-protein known to trigger drug resistance and cell survival in CML cells. We therefore combined CDDO-Me with the HO-1 inhibitor SMA-ZnPP, which also resulted in synergistic growth-inhibitory effects in human CML cells and BCR-ABL1+Ba/F3 cells. Moreover, SMA-ZnPP was found to sensitize KU812 cells and Ba/F3 cells expressing BCR-ABL1T315I/F311L against the combination ´CDDO-Me+TKI´. Together, combined targeting of STAT3, STAT5, and HO-1 overcomes multiple forms of TKI resistance in highly resistant CML clones expressing BCR-ABL1T315I or T315I-containing compound mutations. Whether such drug combinations are effective in vivo in TKI-resistant patients remains to be elucidated. Disclosures Hoermann: Ariad: Honoraria; Gilead: Research Funding; Amgen: Honoraria; Novartis: Honoraria. Konopleva:Reata Pharmaceuticals: Equity Ownership; Abbvie: Consultancy, Research Funding; Genentech: Consultancy, Research Funding; Stemline: Consultancy, Research Funding; Eli Lilly: Research Funding; Cellectis: Research Funding; Calithera: Research Funding. Deininger:Novartis: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Pfizer: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Incyte: Consultancy, Membership on an entity's Board of Directors or advisory committees; CTI BioPharma Corp.: Membership on an entity's Board of Directors or advisory committees; BMS: Consultancy, Research Funding; Gilead: Research Funding; Celgene: Research Funding; Bristol Myers Squibb: Consultancy, Research Funding; Ariad: Consultancy, Membership on an entity's Board of Directors or advisory committees. Lion:Amgen: Honoraria; Pfizer: Honoraria; Ariad: Honoraria; Novartis: Honoraria, Research Funding; BMS: Honoraria. Valent:Ariad: Honoraria, Research Funding; Celgene: Honoraria, Research Funding; Novartis: Honoraria, Research Funding; Deciphera Pharmaceuticals: Research Funding; Amgen: Honoraria.

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 score0.006

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)0.0020.000

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 head0.012
GPT teacher head0.238
Teacher spread0.226 · 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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Citations1
Published2016
Admission routes1
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