Favorable Risk Group Acute Myeloid Leukemia in Children and Young Adult Treated in Uniform Protocol in Casablanca, Morocco. a Preliminary Analysis
Bibliographic record
Abstract
Abstract Introduction: Treatment of Acute Myeloid Leukemia (AML) with in developing countries is challenging. In Morocco, the major causes of therapy failure are delay in diagnosis, early (prior to start of therapy) and induction deaths, induction failures and abandonment of therapy. Improvement of supportive care with particular focus on prevention and management of infection and improved transfusion support is crucial for better overall outcome. Aim of the study: To evaluate the preliminary results (Complete remission, OS and EFS) in children and young adults with favorable risk group AML treated in a single center with AML MA 2011 protocol. Patients and methods: From January 2011 to December 2014, a uniform treatment protocol was conducted to treat patients with age ≤ 30 years with de novo AML with favorable risk group. The diagnosis was done according to FAB classification, MPO done systematically. Karyotype was performed on marrow sample (20 metaphases analyze at least), R banding technique. Patients with hyperleukocytosis (WBC≥ 50G/L) received as a pre-phase 4 days of hydroxyurea to 50mg/kg/day then 2 inductions and 3 consolidations. The two courses of induction associated Cytarabine (100mg/m² q 12h (day 1-10)), Daunorubicin (50 mg/m² (day 2, 4, 6) for the first course, on days 1, 3, 5 for the second course) and etoposide (100mg/m² only at second course of induction). The consolidation included Cytarabine (3g/m²q 12h (day1-3) for first and second course and 1 g/m² (day1-3) on third course) plus Daunorubicin (30mg/m² (day 3-4 and day 1-3) at the first and third consolidation. L-Asparaginase 6000UI/m² on day 4 was give at second consolidation. Patients received CNS prophylaxis. The supportive care consisted of transfusion, antibiotic and patient and family education by hygiene team. Results: 39/159 patients (24.5%) had a favorable prognosis. They were 13 female and 26 male (Male/Female ratio of 2) with a median age of 21 years and the peak frequency was between 20-30 years (21 patients or 53.8%). Two groups were identified. (Table 1) The means WBC were 39.741 G/L (1.134-425.000G/L) and more than 50 G/L for 17 patients. t(8; 21) represented 71.8% of karyotype and was associated 14 times with other abnormalities: 8 loss of sex chromosome (6 -Y and -X 2), 2 deletions, 2 trisomy and 2 add. Inv16 or t (16; 16), 28.2% of case, was associated with a deletion once and once with trisomy. (Table 1) Molecular biology carried 7 times was positive in 4 cases all AML-ETO. Three patients died before treatment, two in hospital by septic shock (1), subarachnoid hemorrhage (1) and one at home. 36/39 patients were evaluable for the protocol. 17 patients with WBC > 50G/L received hydroxyurea prior to chemotherapy with good response for 16 (94.1%) and 1 (5.9%) death. The median average time from start of treatment was 15 days with a range of 1-52 days. After the two inductions 26 (74.3%) obtained a complete remission, 2 (5.7%) were in failure, and 7 (20%) died in hospitalization during induction 1. The cause of death was: 2 hemorrhage, 3 infections, 1 pulmonary embolism and 1 patient died at home. Conclusion: Therapeutic results are yet far from satisfactory. Complete remission could be improved with reduction of infection toxic deaths. Improvement of supportive care therapy may allow treating patients with intensified treatment with better outcome. Hydroxyurea is efficient to reduce WBC and for best conditions to initiate induction therapy. Table 1. Patient's characteristics All patients Group 1(age ≤15years) Group 2(age≥16 years) Number (%) Median age (Years) 39 (100%) 21 9 (23%) 10 30 (77%) 24 Male/Female 2 3.5 1.7 WBC>50000 (G/L) 17 2 7 FAB M1/M2/M4/M4Eo/other Immunophenotype 12/19/2/4/2 28 (71.8%) 1/7/1/0/0 7 (25%) 11/12/1/4/2 21 (75%) t(8 ;21) 28 (71.8%) 8 (88.9%) 20(66.7%) t(8 ;21)+ other anomalies 14 (50%) 5 (62.5%) 9 (45%) Inv 16 or t(16 ;16)Inv16 or t(16 ;16) + other anomaliesTreatmentComplete remission DeathFailureCauses of death infection/Hemorrhage/otherOSES 11 (28.2%) 2 (18.2%) 36*(92.3%) 26 (72.2%) 7 (18%) 2 2/3/2 51% 30.9% 1 (11.1%) 1 (100%) 9 (100%) 8 (88.9%) 1 (11.1%) 0 0/1/0 10 (33.3%) 1 (10%) 26 (86.7%) 18 (69.2%) 6 (23.1%) 2 (7.7%) 2/2/2 *One death after prephase Disclosures No relevant conflicts of interest to declare.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".