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Enregistrement W2607663437 · doi:10.1182/blood.v128.22.4241.4241

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

2016· article· en· W2607663437 sur 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

Notice bibliographique

RevueBlood · 2016
Typearticle
Langueen
DomaineMedicine
ThématiqueChronic Myeloid Leukemia Treatments
Établissements canadiensUniversity of Toronto
Organismes subventionnairesnon disponible
Mots-clésPonatinibDasatinibNilotinibBosutinibImatinibCancer researchImatinib mesylateTyrosine kinaseMyeloid leukemiaMedicinePharmacologyInternal medicine

Résumé

récupéré en direct d'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.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,002
Score d'incertitude au seuil0,006

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,012
Tête enseignante GPT0,238
Écart entre enseignants0,226 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2016
Routes d'admission1
Résumé présentoui

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