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Enregistrement W2471268158 · doi:10.1182/blood.v126.23.3322.3322

High Risk Apml Treated Successfully with Four Cycles of ATO and ATRA Combination in Resource Constrained Settings

2015· article· en· W2471268158 sur OpenAlexaboutno aff
Subhash Varma, Uday Yanamandra, Alka Khadwal, Gaurav Prakash, Vikas Suri, Savita Kumari, Parathan Karunakaran, Shano Naseem, Reena Das, Neelam Varma, Pankaj Malhotra

Notice bibliographique

RevueBlood · 2015
Typearticle
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueRetinoids in leukemia and cellular processes
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineSurgeryCohortRetrospective cohort studyInternal medicineGastroenterology

Résumé

récupéré en direct d'OpenAlex

Abstract Background: Acute promyelocytic leukemia (APML) is amongst the most curable malignancies with survival close to 80% [1]. Combination of all-trans- retinoic-acid (ATRA) and anthracyclines is the current standard of care for high-risk APML patients [2]. Literature on combination of arsenic trioxide (ATO) with ATRA in high risk APML, the number of cycles and long-term toxicity of ATO is scarce [3]. Methods: It is a single center retrospective study. Diagnosis of APML was made by bone marrow (BM) and PML-RARα detection by RT PCR. Patients with high risk APML (defined as TLC>10000/µL) enrolled after 2006 were included and treated with combination of ATO/ATRA as per the protocol (Fig. 1). RT PCR for PML-RARα was done after remission induction, completion of consolidation and 6 monthly thereafter. Results: A total of 39 high risk APML patients were treated during the study period (25 males, 14 females) with median age 31y (range 15-50). Cohort was poorly educated (median - 10th standard) and were from poor socioeconomic strata (mean monthly income - INR 7000, 1USD=65INR). The major presenting complaints were bleeding manifestation and fever (78%, 84% respectively) for a median duration of 30 days (range 3-90d, 95% CI - 14.8). Baseline clinical, hematological and coagulation parameters are as enumerated in Table1.Table 1.Descriptive statistics high risk APML patients at baselineMinimumMaximumMeanStd. DeviationHeight (cm)148180163.109.91Weight (kg)35.080.055.4711.75Peripheral blood smear features at presentationHemoglobin (g/dL)4.113.37.132.36Leucocyte count (/µL)107001237004597635230.92Platelet ( x 109/L)625528944.76Blasts and Promyelocytes (%)010070.8535.57Bone marrow findings at diagnosisBlasts09417.5827.43Promyelocytes29670.2423.14Coagulation parameters at presentationPT (s)113120.104.22aPTT (s)203327.793.34Fibrinogen (g/L)0.683.841.890.81 Complications: DIC was present in 66.7% of the patient at baseline with the median duration to resolution of DIC on ATO/ATRA being 7 days (range 4 - 25d). Thrombosis was present in 17.1% of the patients. Differentiation syndrome (DS) was seen in 59% (n-23) of the patients at mean duration of 5.6 days of starting therapy (range: -4 to 14d). Twenty one percent of patients with DS (n-5) succumbed to death and all these patients had features of spontaneous DS prior to starting ATO/ATRA. Deaths due to differentiation were primarily seen in during the first week of starting therapy (median-D4). In rest all cases DS improved with dexamethasone 10mg BD and interruption of ATO/ATRA. Outcomes: Median duration to hematological remission was 31days (range: 2-59d). Bone marrow remission was attained in all patients alive at the end of induction. Molecular remission was attained in 100% of these patients. OS was 84.1% (Fig 2A). Log survival curve (Fig 2B) elucidates the fact that those patients who survived the induction therapy had no mortality further during the course of illness. Event free survival (EFS) was 84.1%, same as OS suggesting no patients relapsed during the therapy. Mean follow up of the cohort was 910 days (range 1 - 2681d, SD - 854.3d). Long term follow up these patients showed no evidence of secondary malignancy as feared by most authors for giving ATO therapy. Conclusions: Four cycles of ATRA/ATO with two years of maintenance therapy produces long-term remission with low risk of relapse and no arsenic induced long term toxicities in patients with high risk APML. REFERENCES: 1. Sanz MA, Lo-Coco F. Modern approaches to treating acute promyelocytic leukemia. J Clin Oncol 2011;29:495-503. 2. National Comprehensive Cancer Network (nccn). NCCN Clinical Practice Guidelines in Oncology: Acute Myeloid Leukemia. Ver. 2.2013. Fort Washington, PA: nccn; 2013. 3. Seftel MD, Barnett MJ, Couban S, Leber B, Storring J, Assaily W, Fuerth B, Christofides A, Schuh AC. A Canadian consensus on the management of newly diagnosed and relapsed acute promyelocytic leukemia in adults. Curr Oncol. 2014 Oct;21(5):234-50. Figure 1. Protocol of ATO/ATRA therapy. Legend: BM - Bone marrow, Consol - Consolidation, PCR - Polymerase chain reaction, DIC - disseminated intravascular coagulation, ANC - absolute neutrophil count, Wk - week, OD - once daily. Figure 1. Protocol of ATO/ATRA therapy. Legend: BM - Bone marrow, Consol - Consolidation, PCR - Polymerase chain reaction, DIC - disseminated intravascular coagulation, ANC - absolute neutrophil count, Wk - week, OD - once daily. Figure 2. Kaplan Meier curves (A) Cumulative survival curve showing 84% OS. (B) log survival curve showing no mortality after the initial 90 days after starting therapy. Figure 2. Kaplan Meier curves (A) Cumulative survival curve showing 84% OS. (B) log survival curve showing no mortality after the initial 90 days after starting therapy. Disclosures No relevant conflicts of interest to declare.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,744
Score d'incertitude au seuil0,365

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
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)0,0000,000

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 Opus0,006
Tête enseignante GPT0,201
Écart entre enseignants0,195 · 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 tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
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

Citations6
Publié2015
Routes d'admission1
Résumé présentoui

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