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Enregistrement W4417016145 · doi:10.1182/blood-2025-1440

ANKRD26-related thrombocytopenia: Hematologic malignancy characteristics, clinical outcomes, and precursor states

2025· article· en· W4417016145 sur OpenAlexaff
Lauren Banaszak, Bianca Barredo, Marcin W. Włodarski, Sara E. Lewis, Alejandro Ferrer, Mrinal M. Patnaik, Lucy C. Fox, Peng Li, Afaf E.G. Osman, Jennie Vagher, Courtney D. DiNardo, Sarah Pelletier, Brittany Stewart, Hetty E. Carraway, Moshe Mittelman, Howard S. Oster, Noa Goldschmidt, Anat Sinai, May Basood, Amy M. Trottier, Valeria Santini, Gloria Andreossi, Brian Druker, Michael Heinrich, Diana Brewer, Kelcy Smith‐Simmer, Kyle Shoger, Gustavo Fonseca, Elise Fiala, Yelena Kemel, Ozge Birsoy-Ceyhan, Diana Mandelker, Andrew R. Marderstein, Zsofia K. Stadler, Kenneth Offit, Molly McGuinness, Michael W. Drazer, Alan Cantor, Jacob R. Bledsoe, Alexandra Satty, Adrianna Vlachos, Claire C. Homan, Anna Brown, Jane Churpek

Notice bibliographique

RevueBlood · 2025
Typearticle
Langueen
DomaineMedicine
ThématiquePlatelet Disorders and Treatments
Établissements canadiensDalhousie University
Organismes subventionnairesnon disponible
Mots-clésMalignancyMyeloid leukemiaGermlineHematologic malignancyGermline mutationMyeloproliferative neoplasmFamily historyMyeloidHematology

Résumé

récupéré en direct d'OpenAlex

Abstract Introduction Heterozygous germline pathogenic variants (PVs) in the 5' untranslated region of ANKRD26 cause inherited thrombocytopenia and predisposition to hematologic malignancy (HM). The estimated lifetime HM risk is ~10% based on families ascertained from an inherited thrombocytopenia cohort. However, the malignancy spectrum, molecular features, precursor states, and overall clinical outcomes remain poorly defined. Methods We established an international, multicenter cohort of individuals with ANKRD26-related thrombocytopenia diagnosed after undergoing genetic evaluation due to a personal and/or family history of thrombocytopenia and/or HM. Clinical, pathologic, and molecular data were collected for 27 individuals with germline ANKRD26 PVs from 21 unrelated families treated at 11 institutions across 5 countries. Statistical analyses were performed using R (v4.4.2). Results Patients were predominantly male (18/27) and white (25/27). Thrombocytopenia was typically identified in childhood (median age 10 years, range 0-48) with a genetic diagnosis made later (median age 53 years, range 2-80). The mean (+/- SD) pre-malignancy platelet count was 45 +/- 24 K/uL (range 5-87). ANKRD26 PVs observed in each family included: c.-126T>C (n=9), c.-128G>A (n=3), c.-134G>A (n=3), c.-116C>T (n=3), c.-118C>T (n=2), and c.-118C>A (n=1). Thirteen HMs were diagnosed in 11 of 27 (41%) patients, including myelodysplastic neoplasm/syndrome (MDS, n=5), acute myeloid leukemia (AML, n=3), chronic myeloid leukemia (CML, n=2), MDS/myeloproliferative neoplasm (MPN) overlap (n=2), and Langerhans cell histiocytosis (n=1). The median age at first HM diagnosis was 63 years (range 49-80). Recurrent somatic features in myeloid malignancies included complex karyotype (4/11, 36%) and TP53 mutations (5/10, 50%). Of the 3 patients with AML, 1 achieved a partial remission (PR) with venetoclax combined with cladribine, idarubicin, and cytarabine but relapsed, 1 achieved a PR with azacitidine but relapsed <100 days after haploidentical allogeneic stem cell transplantation (alloSCT), and 1 had primary refractory disease. Among 5 patients with MDS, 1 was refractory to decitabine, 1 underwent alloSCT but relapsed 2 years post-transplant, 1 remains in remission post-alloSCT with 1 year of follow-up, 1 is undergoing alloSCT evaluation, and 1 was lost to follow-up. Both patients with CML achieved durable major molecular remissions with imatinib. To better estimate HM risk, we assumed 100% penetrance of thrombocytopenia for ANKRD26 PV carriers and included family members with chronic thrombocytopenia who had not had germline genetic testing. In this expanded series (n=62), 16 individuals developed a HM (26%). Additional diagnoses included MDS with progression to AML (n=1), AML (n=1), CML (n=1), and leukemia of unknown type (n=2). Cumulative incidence of HM was 0% by age 40 years, 17% by age 60 years, and 60% by age 80 years. Somatic sequencing of peripheral blood was performed in 5 HM-unaffected ANKRD26 PV carriers. One individual was found to have clonal hematopoiesis driven by TET2 (c.1648C>T, p.Arg550*) with a variant allele frequency (VAF) of 9% at age 55. Bone marrow biopsy showed mild megakaryocytic atypia and 4% blasts without overt evidence of malignancy. To assess the prevalence of ANKRD26-related HM, we assessed the frequency of ANKRD26 PVs in 2 large MDS/AML cohorts. In the ARUP database (9662 AML, 6397 MDS), 2 individuals (0.01%) had an ANKRD26 PV with a VAF consistent with germline origin. In the MSK-IMPACT Heme Germline MDS/AML cohort (n = 284), no ANKRD26 P/LP variants were identified. Conclusions Germline ANKRD26 PVs underlie <1% of MDS/AML diagnoses but may represent a high-risk subtype characterized by complex karyotype, TP53 mutations, and high risk of relapse. Among our series, the incidence of HM was low early in life but increased substantially with age, reaching 60% by 80 years. This exceeds prior estimates, which were derived from individuals ascertained from thrombocytopenia-based registries. Together, our findings suggest that ANKRD26-associated HM may represent a high-risk clinical entity, and that age and family history should inform surveillance strategies. More studies are needed to define genetic and environmental modifiers of HM risk as well as precursor states to enable early detection and disease interception.

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 seuil0,008

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 Opus0,017
Tête enseignante GPT0,317
Écart entre enseignants0,300 · 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

Citations0
Publié2025
Routes d'admission1
Résumé présentoui

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