The Novel Leukemia Stem Cell Marker GPR56 Discriminates Leukemic Subclones with Divergent Stem Cell Properties in Human Acute Myeloid Leukemia
Notice bibliographique
Résumé
Abstract Insights into the complex clonal architecture of acute myeloid leukemia (AML) unravelled by deep sequencing technologies have challenged the concept of AML as a hierarchically organised disease initiated and driven by rare self-renewing leukemic stem cells (LSCs). In contrast to normal human hematopoietic stem cells (HSCs), which are highly enriched in the CD34+ CD38- population, LSCs have also been found in the CD34- and the CD38+ fractions questioning the existence of a consistent LSC surface marker profile for AML. Besides, low LSC frequencies in primary samples, rapid onset of differentiation upon ex vivo culture, and genetic inter-specimen heterogeneity hamper the dissection of the molecular machinery that drives LSC self-renewal. We performed RNA-Sequencing of primary human AML samples and assessed LSC frequencies by limiting dilution analyses for 56 of these in NOD.Cg-Prkdcscid Il2rgtm1Wjl/SzJ (NSG) mice. By comparing gene expression profiles between high vs low LSC frequency leukemias, we identified the G-protein coupled receptor 56 (GPR56) has significantly more expressed in high LSC frequency leukemias. We validated the RNA-seq data with protein expression by FACS and found an excellent correlation. To determine whether GPR56 positive cells overlapped with the known LSC-associated phenotype CD34+ CD38-, we stained 45 AML samples with CD34, CD38, GPR56, and antibodies against other described LSC markers. Although CD34+ GPR56+ and CD34+ CD38- compartments identified the same population in some samples, we found in the majority of samples that GPR56 further subdivided the CD34+ CD38- compartment. Accordingly, not only the proportions of total GPR56+ and CD34+ GPR56+ cells were significantly higher in LSChigh versus LSClow samples, but also the proportion of GPR56+ cells within the CD34+ CD38- compartment was significantly different between the groups indicating that GPR56 might be of additional value to what is currently considered the best described LSC phenotype. The percentage of total CD34 positive cells did not correlate with LSC frequency clearly distinguishing GPR56 from CD34 or CD38, which are only suitable LSC markers when used in combination. We analysed other potential LSC markers (TIM3, CD96, CD44, CD123, CLL1 and CD47) in our RNA-Seq dataset and by FACS analysis in combination with CD34 as we did for GPR56 and none of them correlated with LSC frequency in our sample collection. To determine whether GPR56 discriminates engrafting LSCs from non-LSCs, we sorted GPR56+ and GPR56- cells within the CD34-positive and -negative compartments from selected specimens with known engraftment potential. We found that GPR56 identified the engrafting fraction in CD34positive AML samples, with a >50 fold enrichment in LSC in the CD34+GRP56+ fraction vs the CD34+GPR56- fraction within the same sample, demonstrating that GPR56 is a good LSC marker. Specimens with high molecular or cytogenetic risk such as chromosome 5 or 7 anomalies and EVI1- rearrangementexpressed high levels of both, GPR56 and CD34, while samples with coexistent FLT3 -ITD, DNMT3A, and NPM1 mutations displayed a unique CD34low GPR56high profile. Moreover, we found a divergent distribution of variant allele frequencies in GPR56+ versus GPR56- fractions identifying GPR56 as a discriminator of leukemic sub-clones with high and low NSG engrafting capacity. Analysis of engrafted cells re-sorted based on GPR56 after being harvested from mouse bone marrow revealed reduced complexity of the clonal composition. Most importantly, GPR56 positive cells differentiated to GPR56 negative cells in mice, which did not happen in the human niche, in which GPR56 positive and negative fractions represented two independently evolved subclones. In summary our work identifies GPR56 as a novel LSC marker in AML and also shows that GPR56 readily identifies a functionally distinct LSC-rich subclone in the majority of human AML patients and reveals hitherto unforeseen complexity in the interaction between human LSCs and the NSG mouse environment. Disclosures No relevant conflicts of interest to declare.
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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 | 0,000 |
| 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 ».