Long Term AML Survivors Have Increased Mortality and High Prevalence of Clonal Hematopoiesis
Notice bibliographique
Résumé
Abstract Acute myeloid leukemia (AML) is a devastating disease; however 20%-30% of patients will achieve long term remission. The long-term follow up of AML patients who received bone marrow transplantation (BMT) is well documented. It remains unclear though whether AML long-term survivors who did not undergo BMT (LTSnoBMT) return to normal health. In order to answer this question a large cohort of AML patients and well matched controls are needed. For the present study, the electronic health records (EHR) of 4.2 million individuals covering over 16 years of follow up were studied. Morbidity and mortality of LTSnoBMT were compared to a large number of age-matched controls. We identified 177 LTS who were in remission two years after AML diagnosis of which 61 were LTSnoBMT. The mortality of LTSnoBMT 10 years after diagnosis was 20%-50% higher in comparison to controls in an age dependent manner with higher mortality among the elderly LTS (Figure 1A, B). While several lab results were different between the LTSnoBMT and controls, most strikingly the red cell distribution width (RDW) of the LTSnoBMT was much higher among elderly LTSnoBMT (Figure 1C). High RDW has been previously reported to correlate with mortality. Recent studies found that high RDW predict AML and even greater correlation of high RDW with mortality among individuals carrying age related clonal hematopoiesis (ARCH) mutations was detected. To investigate the genetic profile of LTSnoBMT, a deep-targeted sequencing method (covering 32 recurrently mutated genes in AML) was used. Remission samples (at least 2 years from diagnosis) from 28 LTSnoBMT were analyzed. In most cases mutations which were detected at diagnosis, were not present in the remission samples. ARCH defining events (most of them new) were found in 64% of the LTSnoBMT. To evaluate whether this high prevalence of ARCH related mutations among LTSnoBMT patients is related to chemotherapy exposure, we also studied 30 individuals with lymphoid malignancies who received chemotherapy and were in remission. The prevalence of ARCH related mutations in the controls was significantly lower (37%) than in the LTSnoBMT (Figure 2A) (p=0.035). Higher prevalence of IDH1/2 mutations was found among LTSnoBMT (Figure 2C) (p=0.017). Furthermore, 70% of the mutations detected in the LTSnoBMT were recurrent (i.e. has more than 5 occurrences in COSMIC data base) compared to 31% in the controls (Figure 2B) (p=0.001). Altogether, AML is a complex disease where even after the sustainable eradication of the malignant clone, the hematopoietic system/microenvironment does not normalize. The reported correlation between ARCH and mortality suggests that the high prevalence of ARCH related mutations among LTS might contribute to the high mortality that we observed. Our findings have both biological and clinical implications. Future studies should determine the reasons why AML - LTS have such high prevalence of ARCH with specific mutations and increased mortality. Furthermore, closer clinical follow up including mutation analysis should be considered for these individuals. Disclosures Cilloni: Celgene: Membership on an entity's Board of Directors or advisory committees; Janssen: Membership on an entity's Board of Directors or advisory committees. Metzeler:Celgene: Consultancy, Research Funding; Novartis: Consultancy. Ofran:Novartis: Other: Served on a Novartis advisory board.
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 | 0,001 |
| 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) | 0,002 | 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 ».