Targeting Rac2 - Mitochondrial Respiratory Chain Complex III Signaling to Prevent Genomic Instability in Leukemia Stem and Progenitor Cells
Notice bibliographique
Résumé
Abstract Abstract 2736 BCR-ABL1 –positive chronic myeloid leukemia in chronic phase (CML-CP) is a leukemia stem cell (LSC)-derived but leukemia progenitor cell (LPC)-driven disease, which may eventually develop resistance to the tyrosine kinase inhibitors (TKIs) and progress to fatal CML blast phase (CML-BP). In CML-CP, LSCs and LPCs reside in the CD34+CD38- and CD34+CD38+ populations, respectively. In addition, majority of LSCs and LPCs belong to quiescent (CFSEmax) and proliferative (CFSElow) populations, respectively. Quiescent LSCs are intrinsically insensitive to TKIs, and LPCs can acquire resistance to TKIs. In the TKI era, these cells may eventually initiate the disease relapse and progression to CML-BP, which is associated with genomic instability manifested by accumulation of a new or additional TKI-resistant BCR-ABL1 kinase mutations and chromosomal aberrations. We reported that BCR-ABL1 –positive leukemia cells contain high levels of the reactive oxygen species (ROS)-induced oxidative DNA damage resulting in genomic instability (Nowicki et al., Blood, 2005; Koptyra et al., Blood, 2006; Koptyra et al., Leukemia, 2008). These studies highlighted the importance of identification of the origin of leukemia cell lineage accumulating genomic instability and the mechanisms responsible for generation of ROS-mediated oxidative DNA damage. Here we show that LSC-enriched CD34+CD38- cells and quiescent LSCs, and also LPC-enriched CD34+CD38+ and proliferating CML-CP cells contain higher levels of ROS (superoxide anion, hydrogen peroxide, and hydroxyl radical) and oxidative DNA lesions (8-oxoG and DNA double-strand breaks) than corresponding cells from healthy donors. Surprisingly, the most primitive quiescent LSCs accumulated the highest levels of ROS and oxidative DNA damage. On the basis of these observations and the studies in murine hematopoietic 32Dcl3 cells expressing TKI-resistant BCR-ABL1 kinase variants (Y253F, T315I, H396P), we would predict that primitive CML-CP cells carrying these mutations would also contain high levels of ROS and oxidative DNA damage. Moreover, inhibition of BCR-ABL1 kinase with imatinib exerted only modest, if any, effect on ROS and oxidative DNA damage in LSCs/LPCs in the presence of growth factors (GFs). Among numerous signaling proteins activated in CML cells, Rac GTPases were potential candidates to regulate production of ROS. Importantly, Rac was stimulated in leukemia cells expressing non-mutated BCR-ABL1 and TKI-resistant kinase mutants and it remained active in CML-CP cells treated with imatinib in the presence of GFs. We used Rac dominant-negative mutant (RacT17N), Rac specific inhibitors (NSC23766 and EHT1864) and Rac1, Rac2 and Rac3 knockout cells to document that Rac2 GTPase is responsible for elevation of ROS and oxidative DNA damage in LSC-enriched CD34+CD38- cells, quiescent LSCs, and also in LPCs. Active Rac2 reduced mitochondrial membrane potential (ΔΨm) and slowed the electron flow between mitochondrial respiratory chain (MRC) complexes I-II and I-III leading to overproduction of ROS. Using cells depleted of functional mitochondria (Rho0 cells), applying specific probes to measure mitochondrial ROS (MitosoxRed and mitochondria matrix-targeted circularly permuted yellow fluorescence protein = mt-cpYFP) and employing a specific inhibitor of mitochondrial ROS (MitoQ) we determined that mitochondria are the main source of ROS causing oxidative DNA damage in CD34+CD38- and quiescent LSCs and in LPCs. Furthermore, using selective inhibitors of various MRC complexes we pinpointed complex III as major producer of ROS in LSCs and LPCs. This conclusion is supported by the observation that BCR-ABL1 –positive cells with genetically inactivated complex III, but not complex I, displayed diminished capability to generate ROS. Targeting Rac2 GTPase by RacT17N and reduction of mitochondrial ROS by mitochondrial-targeted catalase and by mitochondrial-targeted ROS-scavenging peptide aptamers prevented genomic instability. Altogether, Rac2 - MRC-cIII pathway is a major source of ROS-mediated oxidative DNA damage resulting in genomic instability in LSCs and LPCs, which could be targeted to prevent the relapse and malignant progression of CML. We also postulate that similar mechanisms cause genomic instability in FLT3(ITD)-positive acute myeloid leukemia cells and in JAK2(V617F)-positive polycythemia vera cells. Disclosures: Holyoake: Novartis: Consultancy, Research Funding. Valent:Novartis: Consultancy, Honoraria, Research Funding. Hochhaus:Pfizer: Honoraria, Membership on an entity's Board of Directors or advisory committees; BMS: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Ariad: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding. Hughes:BMS: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Ariad: Honoraria, Membership on an entity's Board of Directors or advisory committees, 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 | 0,000 | 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 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,001 |
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 ».