Mapping Microenvironment-Mediated Signaling Dependency of Targeted Inhibitors: A Mechanism-Based Approach of Selecting Effective Therapy Targeting Drug Resistant AML
Notice bibliographique
Résumé
Abstract Acute myeloid leukemia (AML) has a high relapse rate, with drug resistance often observed in relapsed patients. The leukemic microenvironment shelters surviving AML cells following initial treatment, and facilitates the development of drug resistance in AML that accompanies disease relapse (Konopleva et al., JCO 2011). Activation of PI3K/AKT/mTOR, anti-apoptotic Bcl-2 and MDM2/p53 signaling have all been detected in relapsed AML, and were reported as resistance mechanisms mediated by stromal cells in the leukemia microenvironment. Temsirolimus, ABT737 and Nutlin3a are small molecule inhibitors that block key molecules (mTOR, Bcl-2 and MDM2) in their respective pathways; each demonstrated therapeutic efficacy in AML treatment (Zeng, et al., Blood 2007; Konopleva et al., Cancer Cell 2006; Kojima et al., Blood 2011). In this study, we investigated stroma-mediated drug-resistance mechanisms to these target inhibitors, aiming to identify effective combinations to eradicate residual AML. Using reverse phase-protein array (RPPA) technology we profiled 53 key molecules in 11 signaling pathways (Figure 1) in 20 primary AML samples that were treated with temsirolimus, ABT-737, or Nutlin3a alone; or the combination of temsirolimus plus ABT-737 or Nutlin3a under mono-culture and stroma co-culture conditions. Stroma-mediated mechanisms of resistance were identified by comparing the signaling network alterations triggered by single inhibitor or dual inhibitors under the different culture conditions. Our results indicate that alterations in the stroma-regulated network responsible for cell surivial are specific to each inhibitor. Stroma upregulated p53-independent MDM2 expression (14/20 samples) and activated p-BAD Ser136 (9/20) in samples treated with temsirolimus; activated p-AKT Ser473 (14/20), p-PRAS40 Thr246 (10/20), increased expression of Foxo3A (10/20), and upregulated p53-independent MDM2 (12/20) in samples treated with ABT-737; it activated p-AKT Ser473 (13/20) and upregulated p53-independent MDM2 expression (14/20) in samples treated with Nultin3a. The finding that activation of the PI3K/AKT/mTOR pathway was a common survival mechanism mediated by stroma in response to Bcl-2 and MDM2 inhibition provided the rationale for combination strategies using temsirolimus plus ABT-737 or Nutlin3a. Mapping of the signaling network revealed that the number of affected targets and pathways were significantly increased in the co-cultured samples treated with dual inhibitors: temsirolimus plus ABT-737 (15 targets in 7 pathways), temsirolimus plus Nutlin3a (13 targets in 5 pathways), as compared to those treated with single agent: temsirolimus (7 targets in 3 pathways), ABT-737 (6 targets in 2 pathways) and Nutlin3a (2 targets in 2 pathways). Network analysis revealed that temsirolimus plus ABT-737 blocked up- and downstream targets within the PI3K/AKT/mTOR pathway (#1) (PDK1 vs. 4EBP1), and simultaneously inhibited targets in multiple pro-survival pathways: AKT/mTOR downstream targets (#2), STAT3 (#4), IAP family (#8), p53 family (#7), Wnt-beta Catenin (#6), Bcl-2 family (#5). Similarly, temsirolimus and Nutlin3a blocked the targets within the PI3K/AKT/mTOR signaling (#1) (AKT, mTOR, p-4EPB1, p-S6), and the targets in pro-survival pathways such as targets downstream of AKT/mTOR (#2), cell cycle regulation (#9), p53 family (#7), Wnt-beta Catenin (#6). Apoptosis was measured in 11 of 20 samples under co-culture condition; both combinations showed increased apoptosis induction: temsirolimus (mean± SE) 8.5 ± 2.7%, ABT737 21.1± 2 %, temsirolimus plus ABT737 37 ± 2.7% (n =11); temsirolimus 13.9 ± 3.6%, Nutlin3a 16.9 ± 5.4%, temsirolimus plus Nutlin3a 35.7 ± 2.8% (n=6). Altogether, using proteomic profiling we identified stroma-mediated resistance mechanisms to target-specific inhibitors, and examined the effects of combined blockade of PI3K/AKT/mTOR signaling with Bcl-2 and MDM2 inhibition at the molecular level. We demonstrated that the mechanism-based selection of combined inhibition is able to abrogate stroma-mediated drug-resistance and facilitate cell death. This approach offers the important guidance for clinical drug selection and tailoring treatment regimens to eliminate resistant AML. Disclosures Konopleva: Novartis: Research Funding; AbbVie: Research Funding; Stemline: Research Funding; Calithera: Research Funding; Threshold: Research Funding.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».