Prolonged Survival with Imatinib Mesylate Combined with Chemotherapy and Allogeneic Stem Cell Transplantation in de novo Ph+ Acute Myeloid Leukemia
Bibliographic record
Abstract
BACKGROUND: De novo Philadelphia chromosome-positive (Ph+) acute myeloid leukemia (AML) is a rare disease with a poor prognosis. Imatinib mesylate (IM) is the standard treatment for Ph+ chronic myeloid leukemia and Ph+ acute lymphoblastic leukemia; however, its role in Ph+ AML has not been extensively investigated. METHODS: Two patients aged of 46 and 19 years were diagnosed with de novo Ph+ AML according to the WHO Classification of Myeloid Neoplasms (2002) and the French-American-British (FAB) classification systems (1989). Cytogenetic analysis confirmed the presence of t(9;22). Standard RT-PCR was used to detect expression of the BCR-ABL1 fusion gene. Minimal residual disease was monitored by RQ-PCR for the BCR-ABL1/ABL ratio. Both patients received initial IM therapy combined with daunorubicin-based chemotherapy followed by allogeneic hematopoietic stem cell transplantation (allo-HSCT) and IM maintenance treatment after allo-HSCT. RESULTS: Both patients achieved long-term disease-free survival with complete hematologic response, complete molecular response, and complete cytogenetic response for 44 and 48 months, respectively. CONCLUSIONS: Our cases indicate that IM combined with daunorubicin-based chemotherapy followed by allo-HSCT and IM maintenance treatment is associated with a favorable outcome for de novo Ph+ AML, especially when IM is used in an early phase of AML.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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".