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Enregistrement W2574098295 · doi:10.1182/blood.v120.21.2388.2388

Elevated Expression of miR-181a and miR-155 Identify Pediatric AML Patients at High Risk of Induction Failure, A Report from Children's Oncology Group.

2012· article· en· W2574098295 sur OpenAlexaff
Ranjani Ramamurthy, Todd A. Alonzo, Robert B. Gerbing, Michael R. Loken, Laura Pardo, Richard Aplenc, Lillian Sung, Susana C. Raimondi, Betsy Hirsch, Samir B. Kahwash, Amy Heerema‐McKenney, Laura Winter, Kathleen Glick, Patti Byron, Laura E Francisco, Robert S. Lavey, Stella M. Davies, Franklin O. Smith, Alan S. Gamis, Soheil Meshinchi

Notice bibliographique

RevueBlood · 2012
Typearticle
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueMicroRNA in disease regulation
Établissements canadiensBC Children's HospitalHospital for Sick Children
Organismes subventionnairesnon disponible
Mots-clésmicroRNABiologyOncologyBone marrowInternal medicineMyeloid leukemiaDiseasemiR-155CancerCancer researchMedicineImmunologyGeneticsGene

Résumé

récupéré en direct d'OpenAlex

Abstract Abstract 2388 Acute myeloid leukemia (AML) is characterized by genomic abnormalities that impair differentiation and promote proliferation. There are known karyotypic alterations and somatic mutations associated with relapse risk, but are rarely predictive of response to induction chemotherapy. miRNAs are epigenetic regulators of cell cycle progression and proliferation and their altered expression can play roles in malignancy and cancer cell behavior. Aberrant expression of miRNAs has been implicated in AML pathogenesis and unique expression profiles have been established in specific subsets. Altered miR-181a and miR-155 expression was reported to correlate with specific cytogenetic and molecular characteristics and with clinical outcome. We inquired whether expression of miR-155 and miR-181a correlates with disease characteristics and clinical response in childhood AML. We evaluated diagnostic specimens from 175 AML patients with normal karyotype (NK) treated on COG AML trial AAML0531 for expression of the miRNAs by quantitative TaqMan MicroRNA Assays normalized against normal marrow. There was a 4 log-fold variation in miR-181a, and a 3 log-fold variation in miR-155 expression levels. Patients were divided into 4 quartiles (Q1-Q4) with Q1 consisting of patients with the lowest, and Q4 with the highest expression levels of the specific miRNA. We then correlated disease characteristics and clinical response across quartiles. There was no association of miR-181a or miR-155 expression with age, gender or race. For miR-155, patients in Q4 had a higher diagnostic WBC% than those in Q1-Q3 (60.4 vs. 23.3, p=0.003). Diagnostic bone marrow blast% for Q4 vs. Q1-Q3 was 83% vs. 65% (p=0.004). There was no correlation between miR-181a expression, for either diagnostic WBC (p=0.117) or bone marrow blast % (p=0.237). High miR-155 expression was accompanied by increased prevalence of FLT3-ITD mutations. 78% of patients in Q4 were FLT3-ITD+ vs. 27% in Q1-Q3 (p < 0.001). miR-155 expression was not associated with mutations in CEBPA (p=0.76), NPM1 (p=0.98) or WT1 (p=0.57) genes. With the high prevalence of FLT3-ITD, elevated miR-155 expression was associated with high-risk disease, where 50% in Q4 had high-risk disease vs. 12% in the Q1-Q3 (p<0.001). High miR-155 expression was inversely associated with low-risk disease.18% in Q4 had low-risk disease vs. 40% in Q1-Q3 (p=0.009). miR-155 expression was correlated with response to induction chemotherapy. Of patients in Q4, 58% achieved a morphologic complete remission (CR) vs. 81% in Q1-Q3 (p=0.003). As FLT3-ITD is highly prevalent in Q4, we inquired if miR-155 expression correlated with response to induction therapy in FLT3-ITD- patients. FLT3-ITD- patients in Q4 had a 44% CR rate vs. 86% in Q1-Q3 (p=0.008), suggesting that in addition to its association with FLT3-ITD, miR-155 expression may independently provide data on potential response to chemotherapy. Evaluation of miR-181a expression demonstrated that prevalence of CEBPA mutations increased with increasing miR-181a expression and 40% of patients in Q4 were CEBPA+ vs. 7% in Q1-Q3 (p < 0.001). There was no association between miR-181a expression and FLT3-ITD (p=0.727), NPM1 (p=0.466) or WT1 (p=0.701) mutations. High miR-181a expression was highly associated with low-risk disease, with 57% in Q4 categorized as low risk vs. 27% in Q1-Q3 (p<0.001). miR-181a expression was not associated with response to induction chemotherapy (CR 80% in Q4 vs. 74% in Q1-Q3, p=0.43). Remission induction rate was re-evaluated after exclusion of CEBPA+ patients. Expression levels had no effect on CR rate (p=0.62). However, of patients in Q4, 71% had evidence of minimal residual disease (MRD) vs. 36% in Q1-Q3 (p=0.003). The correlation of miR-181a expression and MRD remained significant even after exclusion of FLT3-ITD, NPM1 and CEBPA mutations (MRD of 86% vs. 31%, p=0.01). We demonstrate significant association of miR-155 and miR-181a expression with specific disease characteristics and clinically significant mutations in pediatric AML. We also show that elevated expression is highly predictive of induction failure, providing potential biomarkers for identifying patients at high risk of poor response prior to therapy. miRNA expression could provide clinically significant information for use in therapeutic allocation. Validation of this finding in a larger cohort of pediatric and adult patients is underway. Disclosures: Loken: Hematologics, Inc: Employment, Equity Ownership. Pardo:Hematologics Inc: Employment.

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 enseignants0,001
Score d'incertitude au seuil0,004

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
Bibliométrie0,0010,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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 Opus0,005
Tête enseignante GPT0,227
Écart entre enseignants0,222 · 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
Publié2012
Routes d'admission1
Résumé présentoui

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