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Enregistrement W2514643390 · doi:10.1182/blood.v124.21.5539.5539

Second Report of Arab Leukemia Net (ALN) Registry for Chronic Myeloid Leukemia (CML) in the Middle East &North Africa Region (AFME). Epidemiology of CML and Additional Chromosomal Abnormalities (ACAs) in Egypt, Multicenter Results

2014· article· en· W2514643390 sur OpenAlexaboutno aff
Mohamed Osman Azzazi, Omar Fahmy, Mervat Mattar, Ashraf El Ghandour, Manal El Sorady, Samir Shehata, Yasser El Nahass, Rasha Ibrahim, Rasha Magdy, Hend N. Ellithy, Mohammad Shazly, Mai Sameir, Mohab Elshaer

Notice bibliographique

RevueBlood · 2014
Typearticle
Langueen
DomaineMedicine
ThématiqueChronic Myeloid Leukemia Treatments
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésIsochromosomeImatinibMedicineImatinib mesylateMyeloid leukemiaPhiladelphia chromosomeLeukemiaDiseaseInternal medicineOncologyCancer researchImmunologyBiologyChromosomeGeneticsGeneKaryotypeChromosomal translocation

Résumé

récupéré en direct d'OpenAlex

Abstract Little is known about burden of CML in Arab countries. The first ALN report demonstrated that age-specific rates for CML in Egypt and Arab nations are lower by at least two decades compared to western populations (Azzazi and Mattar ELN newsletter 2013). Lack of reliable data concerning geographic and ethnic variations and response rates to therapy contribute to the variability of incidences among CML registries. Studies underestimate the true age of CML patients as access to medical services show great diversity in AFME region. ACAs were reported in 5% of CML patients, considered at diagnosis by ELN as a “warning” requiring careful patient monitoring.(Baccarani et al Blood 2013), ACAs emerging during treatment are considered by WHO classification as accelerated phase (AP). There occurrence indicates that the leukemia has become BCR-ABL1 independent by secondary genetic acquisitions. Some ACAs are poor prognostic factors such as the acquisition of additional Ph‏ chromosome (ch) that increases the kinase activity of BCR-ABL1; the isochromosome 17q i(17q) which leads to inactivation of the tumor suppressor gene p53 and impedes the response to Imatinib; the extra 8 which lead to c-Myc over expression that enhances the transformation of leukemic cells and the extra 19 which hinder Imatinib activity via silencing gene promoters. Objectives 1) To Release 5 year follow-up data of second ALN report of CML epidemiology in Egypt. 2) To investigate the low age of CML in Egypt. 3) To evaluate ACAs role in disease and clonal evolution. 4) To build a reliable data base -the ALN- as information / support services. Method We analyzed data of 578 (302 male and 276 female) CML patients (followed-up for 5 years). Data collected according to ELN (Baccarani et al Blood 2013) GIMEMA and EUTOS recommendations via a multicenter web based data registry portal, the ALN. (www.aln-afme.com). To insure lack of bias an independent server for data storage and processing was established in Masaryk University, Institute of Biostatistics and Analyses, in Prague, Czech Republic, other logistics are managed by DMC Healthcare Inc. HQ in Toronto, Canada. Chromosome banding analysis and FISH were performed, for Y-ch, trisomy 8, duplication of Ph, i(17q), trisomy 19, and Deletion of der(9) ch (Luatti et al Blood 2012). Results Patients Median age was 43y, (40y for males, 41y for females), The age specific rates were highest for the age group of 30-35 years. Female patients presented with lower hemoglobin, higher platelet counts and smaller spleen size (P<0.0001). 98% of patients achieved CH respone, 89% PCYR, 87% CCYR, and 83% MMR. At diagnosis 87% patients were in chronic phase (CP) CML, 8.1% in accelerated, and 4.9% in blastic phase. Sokal score: Low risk 57.8% Intermediate 24.5% and High in 17.7%. EURO (Hasford) score (59% Low risk, 28.4%Intermediate risk and 12.6%High risk). 42% of patients received imatinib, 34% nilotinib 20% dasatinib and 4% needed therapies plus TKI). Transplantation rate was 19%, PFS and OS were equal in female and male patients. ACAs were found in 62 (11%) patients, they had lower cytogenetic and molecular response rates and longer response time to TKI and inferior outcome. ACAs were more frequent in younger, imatinib resistant patients, and in blast phase. We identified loss of Y ch in 18 patients (29%), trisomy 8 in 7 (11%), trisomy 19 in12 (19%), i(17q) in 12 (19%), other different single abnormalities in 8 patients (13%), complex karyotype with double ACAs in only 5 patient (8%). Four patient showed variant Ph ch: t(9;22;22)(q34;q11;q11). Deletion of der(9) ch in 17 cases (27%): (10 cases with loss of Y ch, 4 case with del(20)(q11q13), and 3 case with t(X;13) (q13;q32)). The cytogenetic and molecular response rates were uniformly lower in patients with ACAs, overall CCgR and MMR rates were significantly lower in patients with ACAs (68% vs 89% and 55% vs 86% respectively), responses were significantly slower in patients with ACAs, 54 patients presented with ACAs at diagnosis while 8 patients developed ACAs while on treatment. Conclusions: The importance of ethnicity and gender differences in relation to disease incidence, and prognosis are major health policy focus. To investigate the low mean age of CML in Egypt and evaluate role of ACAs on disease and clonal evolution, Data from 10 Centers in Egypt showed a much lower mean age of CML and more frequent (11%) ACAs, they adversely affected time and response rates to Imatinib treatment. 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 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)0,001
score de la tête « metaresearch » (Gemma)0,002
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 enseignants0,010
Score d'incertitude au seuil0,024

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0020,002
Études des sciences et des technologies0,0000,000
Communication savante0,0010,001
Science ouverte0,0000,001
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0070,001

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 Opus0,056
Tête enseignante GPT0,264
Écart entre enseignants0,208 · 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

Citations3
Publié2014
Routes d'admission1
Résumé présentoui

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