AML-Fated Clones Arise in Stem and Progenitor Cells in Myelofibrosis Patients Several Years Prior to AML Diagnosis
Notice bibliographique
Résumé
Abstract In myeloproliferative neoplasms (MPN), somatic mutations in recurrently mutated myeloid leukemia genes, apart from MPN driver genes, are common and can increase transformation risk to acute myeloid leukemia (AML). However, the temporal acquisition of these mutations, the properties of the cells bearing these mutations, and how each mutation cooperates to promote leukemic transformation remains largely unknown. We therefore examined blood and bone marrow samples collected serially from patients with myelofibrosis (MF) who developed AML to further elucidate the genetic basis of leukemic transformation. Specific aims include: 1) determining the timeline of acquisition of mutations that contribute to AML in chronic phase and 2) defining the cell type that harbours the clone fated to initiate AML. Ten patients who transformed to AML following a diagnosis of MF (6 PMF, 3 post-PV MF, 1 post-ET MF) were studied. The time interval from the first MPN collection to AML diagnosis ranged between 1.5 to 6.6 years; and in 4 patients additional MPN samples collected between these time points were available for study. Somatic mutations were identified from whole genome sequencing (WGS) data of AML blasts (CD45dim cells), the MPN clone (CD45highCD33+ and CD34+ cells), and germline references (T-cells or Buccal DNA); and from targeted sequencing results of 54 recurrently mutated myeloid leukemia genes performed on AML samples as part of another study. Stem and progenitor populations (HSC, MPP, LMPP, CMP, MEP, GMP), as well as, mature cell populations (myeloid, erythroid, T-lymphoid, B-lymphoid and NK) were sorted from MPN time points and whole genome amplified using the REPLI-g Single Cell Kit (Qiagen). Somatic mutations were tracked by droplet digital PCR (ddPCR) and/or targeted sequencing. We identified an average of 5 (range 1-8) recurrently mutated myeloid leukemia genes that were somatically mutated in each patient at AML diagnosis, with an average of 5.5 (range 1-11) different mutations affecting these genes. Many of these mutations were present at ≥5% variant allele frequency (VAF) in the MPN clone at the earliest chronic phase time point. In 8 patients, the MPN driver mutation was detected in the MPN clone and AML blasts (MPNdriver-concordant), while in 2 other patients there was discordance as JAK2V617F was present in the MPN clone, but not the AML blasts. Myeloid leukemia genes that were mutated in 2 or more patients included SRSF2 (n=5), ASXL1 (n=4), TET2 (n=4), IDH1/2 (n=4), RUNX1 (n=4), NRAS (n=4), KRAS (n=2), U2AF1 (n=2), PHF6 (n=2), and STAG2 (n=2). We tracked mutations by ddPCR in populations sorted from MPN time points and demonstrated that 10 out of 13 mutations not identified by WGS were in fact present at low VAF in one or more cell populations. Moreover, in 5 patients with MPNdriver-concordant AML, the AML-fated clone was detectable 1.5 to 3 years before AML was diagnosed; and in 4 of these patients the AML-fated clone resided among cells with a HSC or MPP immunophenotype. In order to better establish the reservoir harbouring AML-fated clones, clonal tracking within the stem and progenitor populations by targeted sequencing of a greater number of AML-specific variants is underway. Among the two patients with JAK2V617F-negative AML, we observed in one patient the emergence of the AML-fated clone within one year of AML diagnosis. In summary, we show that clones fated to intiate AML in patients with MF often reside among cells with a HSC or MPP immunophenotype and can appear several years prior to the diagnosis of AML. This strongly suggests that mechanisms beyond the acquisition of somatic driver mutations (including but not limited to epigenetic alterations, acquisition of non-coding mutations, inflammation) are necessary to effectively promote full leukemic transformation. Interestingly, in one patient with JAK2V617F-negative AML (following JAK2V617F-positive MF), the latency period between the appearance of the AML-fated clone and AML diagnosis was much shorter, suggesting that the mechanisms underlying transformation are likely different for these 2 clonal evolutionary pathways. 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 | 0,001 |
| 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 ».