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Enregistrement W3215189460 · doi:10.1182/blood-2021-151023

Clinical Characteristics and Outcomes of Patients Diagnosed with Acute Myeloid Leukemia with Expression of CD71

2021· article· en· W3215189460 sur OpenAlexaboutno aff
Daniel Rivera, Yesid Alvarado, Guillermo Garcia‐Manero, G. Borthakur, Hagop M. Kantarjian, Sergej Konoplev

Notice bibliographique

RevueBlood · 2021
Typearticle
Langueen
DomaineMedicine
ThématiqueAcute Myeloid Leukemia Research
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésTransferrin receptorMyeloid leukemiaMedicineBone marrowMyeloidLeukemiaInduction chemotherapyInternal medicineImmunologyChemotherapyTransferrin

Résumé

récupéré en direct d'OpenAlex

Abstract Introduction Acute myeloid leukemia (AML) is a clonal hematologic malignancy characterized by the proliferation and accumulation of blasts in the bone marrow (BM) which results in hematopoietic failure. Transferrin receptor (CD71) plays an important role by up-taking iron into the cell, and its expression is regulated by cellular iron levels. Recently, CD71 has emerged as a sensitive and specific marker of cell proliferation in solid tumors. The clinical significance of CD71 expression in AML remains unclear. Current efforts are also exploring its potential as a therapeutic target in AML. We aimed to describe the clinical characteristics and outcomes of patients diagnosed with de novo AML who expressed CD71. Methods We conducted a retrospective analysis of 453 patients with newly diagnosed AML that came to our institution from December 2019 to June 2021 in whom CD71 antibody was available at diagnosis. CD71 expression was assessed by flow cytometry immunophenotypic studies performed using bone marrow aspirate specimens at presentation. For each analysis, a minimum of 200,000 events was acquired on FACSCanto II instruments (8-color and 10-color, BD Biosciences). The CD45 dim-blast region including monocytes based on CD45 / side scatter was analyzed. The antibody panel included 5 tubes; CD71 antibody was included in tube 3, which contains the following antigen combination: CD41/CD71/CD56/CD34/CD64/HLA-DR/CD14/CD45. The neoplasm was CD71-positive if at least 20% of blasts demonstrated CD71 expression. Additionally, frontline treatment was categorized into intensive chemotherapy (HiDAC based), and Low-Intensity regimen (double nucleoside analog or hypomethylating agent-based therapies). Outcomes in terms of survival and treatment response were analyzed and reported by age, ELN risk groups (Favorable, Intermediate, and Adverse), and the presence of somatic mutations. Results Baseline characteristics are detailed in table 1. We identified 359 (79%) patients diagnosed with AML in whom CD71 was expressed. Our study focused on 184 (41%) patients diagnosed with previously untreated de novo AML, the median age was 63 years (IQR 50-73). Fifty-seven percent of patients were male. Median hemoglobin and platelet counts were 8.2 g/dL and 40 x10 9/L, respectively. The Median BM blast percentage was 54%, among these patients, there was a higher representation of patients with adverse risk features when compared with the intermediate and favorable group (50%, 34%, and 16% respectively). The molecular landscape of our population showed higher representation of RAS (25%), DMNT3A (23%), TP53 (21%), WT1 (21%), NPM1 (20%), FLT3-ITD (16%), and IDH2 (15%), figure 1. Frontline treatment information was available on 108 patients, of these, 43% were treated with intensive chemotherapy, while 57% of patients were treated with a low-intensity regimen. In terms of outcomes, with a median follow-up time of 6 months, the median overall survival of the whole patient cohort was 9 months (95% CI: 4.3-13.6). Patients aged more than 60 years showed inferior OS compared to younger patients (6 vs. 14 months; p=0.059), respectively, figure 2. Among patients with adverse risk features, the median OS was 5 months (95% CI: 3-6.9, p=0.068) versus those with intermediate (12 months) and favorable risk features (16 months), figure 3. Next, among the somatic mutations with higher representation with known prognostic impact, patients with TP53 mutated showed a significantly inferior OS compared to those with wild type (median 4 vs. 12 months, p=0.006) respectively, figure 4. Patients treated with intensive chemotherapy showed a trend to higher ORR versus low-intensity regimen (89% vs. 74% respectively, p=0.051). Similarly, CR/CRi rates were higher among those treated with intensive chemotherapy compared to those with a low-intensity regimen (85% vs. 70% respectively, p=0.106), figure 5. Conclusion Acute myeloid leukemia is an aggressive hematologic malignancy with a heterogeneous nature. CD71 expression appears to be a common event and was identified in up to 40% of de novo AML cases in our institution. Its expression appears to be associated with cytopenias in addition to the presence of molecular abnormalities commonly associated with an adverse prognosis. Its clinical significance, applicability as a diagnostic marker, and potential as a therapeutic target in AML need to be fully elucidated. Figure 1 Figure 1. Disclosures Alvarado: Astex Pharmaceuticals: Research Funding; Jazz Pharmaceuticals: Research Funding; BerGenBio: Research Funding; CytomX Therapeutics: Consultancy; MEI Pharma: Research Funding; Daiichi-Sankyo: Research Funding; FibroGen: Research Funding; Sun Pharma: Consultancy, Research Funding. Kantarjian: Immunogen: Research Funding; Astra Zeneca: Honoraria; Ipsen Pharmaceuticals: Honoraria; Jazz: Research Funding; Amgen: Honoraria, Research Funding; Astellas Health: Honoraria; Aptitude Health: Honoraria; Novartis: Honoraria, Research Funding; KAHR Medical Ltd: Honoraria; NOVA Research: Honoraria; BMS: Research Funding; Ascentage: Research Funding; AbbVie: Honoraria, Research Funding; Daiichi-Sankyo: Research Funding; Pfizer: Honoraria, Research Funding; Precision Biosciences: Honoraria; Taiho Pharmaceutical Canada: Honoraria.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,002
Score d'incertitude au seuil0,006

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0010,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

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.

Tête enseignante Opus0,016
Tête enseignante GPT0,300
Écart entre enseignants0,284 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2021
Routes d'admission1
Résumé présentoui

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