Myelofibrosis Is Initiated and Sustained By Rare Multipotent Stem Cells
Notice bibliographique
Résumé
Abstract Background: Myelofibrosis (MF) is a chronic myeloproliferative neoplasm (MPN) characterized by marked bone marrow fibrosis, extramedullary hematopoiesis and significant risk for leukemic transformation. Most patients carry recurrent MPN driver mutations in JAK2, CALR and MPL and many carry additional mutations in epigenetic regulators, splicing and signaling pathways. MF pathophysiology remains poorly understood, particularly with respect to the cellular identity of the MF clone(s) bearing mutations that initiate and maintain the disease. Therefore, here we tracked somatic mutations from nine MF patients in sorted hematopoietic cell populations from serial time-points as well as patient-derived xenografts (PDXs), to identify clinically relevant MF cell populations for future targeted therapies. Methods: Genomic DNA was isolated from the peripheral blood mononuclear cells (PBMCs) of nine chronic-phase MF patients (5 JAK2+ and 4 CALR+) and sequenced using the 54-gene TruSight Myeloid targeted panel. PBMCs from the same patients at serial time-points (if available) were sorted into hematopoietic stem and progenitor cell (HSPC) and mature cell populations. In addition, PDXs were generated following injection of CD34+ peripheral blood cells into sub-lethally irradiated NSG and/or NSG-SGM3 mice. Human myeloid (CD45+33+) and B (CD45+19+) cells were isolated from PDXs after 8-16 weeks. Digital droplet PCR was used to interrogate known oncogenic variants, identified from the targeted sequencing, in all sorted primary and PDX cell fractions. Results: We reveal that the vast majority of genetic lesions used to interrogate the hierarchy were acquired at the level of immunophenotypically defined hematopoietic stem/multipotent progenitor cells (HSC/MPP) (CD45+34+38-RA-, termed MF-HSC). MF-HSC variants were generally shared with most HSPC, differentiated myeloid (CD33+) and lymphoid (B and/or T cell) populations sorted from primary patient samples. In our cohort, MPN driver mutations were invariably acquired in MF-HSC and consistently maintained over longitudinal clinical follow-up (median of 17 months) in both MF-HSCs and differentiated myeloid cells (CD33+). Interestingly however, in 2 cases (1 CALR+ and 1 JAK2+ MF), ASXL1 mutations in MF-HSCs were observed at the first time-point but restricted to the CD33+ compartment at a later time-point. Further, in one patient, SF3B1 mutation was restricted to the CD33+ fraction at the first time-point and was completely absent at the second time-point. Thus, certain mutations, like ASXL1, may be required for MF initiation but not necessarily disease maintenance; or alternatively, independent MF-HSC clones may outcompete others over time. Additionally, some acquired downstream mutations may be transient in nature and not clinically relevant. Together these data suggest that MF-HSCs are essential for MF clonal maintenance. To complement our genetic interrogation of the hematopoietic hierarchy in MF, we demonstrate that CD34+ HSPCs generate multi-lineage grafts in xenotransplanted mice bearing mutations identified in MF-HSCs. CALR+ samples invariably demonstrate multi-lineage potential and clonal dynamics in PDXs suggest that CALR mutations are likely the first genetic lesion acquired in multipotent MF-HSCs. JAK2+ samples generated more variable data, but by combining the genetic data of both PDXs and lymphoid cells sorted from primary patient samples, we show that JAK2+ MF-HSCs may also be multipotent. Taken together, these data suggest that MF-HSCs are multipotent, functionally relevant MF-initiating cells capable of propagating downstream HSPC populations and the CD33+ MF-disease clone that harbors all interrogated mutations. Thus, rare MF-HSCs are both disease-initiating and disease-maintaining cells. Conclusions: Our approach combining high-resolution cell sorting and xenograft assays with genomic interrogation demonstrates that MF is initiated and maintained by rare multipotent MF-HSCs. Our study underscores the complex evolutionary events that occur in the stem cell compartment during disease progression and identifies MF-HSCs as the relevant cellular target for future therapeutic intervention. Disclosures Gupta: Novartis: Consultancy, Honoraria, Research Funding; Incyte: Research Funding.
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 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 ».