NPM1, IDH1/2 and DNAH11 Gene Mutations Can Improve a Prognostic Stratification of Acute Myeloid Leukemia Patients with Normal Karyotype but Not Harboring FLT3/ITD Mutation.
Bibliographic record
Abstract
Abstract Abstract 2534 Background: Acute myeloid leukemia with normal karyotype (AML-NK) is known to be heterogeneous in the molecular level. Accordingly, it has become more critical to dissect this group of patients according to their prognosis using a molecular genetic technology. We attempted to analyze the incidence and prognostic implication of genetic abnormalities on survival in 426 adult patients with AML-NK. Methods: A total of 67 AML-NK patients achieved complete remission (CR), candidate mutations in 21 genes were identified by whole exome sequencing which has 41–89× coverage and by single-nucleotide polymorphism array analysis using marrow mononuclear cells at diagnosis of AML-NK. Subsequently, mutation analysis of 11 genes (i.e. FLT3/ITD, NPM1, DNMT3a, IDH1, IDH2, TET2, NRAS, WT1, DNAH11, SF3B1, and PHF6) which are known to be involved in the pathogenesis of hematologic diseases, were performed using Sanger sequencing in another subset of 359 AML-NK patients as a validation cohort. Results: Of 426 patients in total (median age: 51, ranges: 15–85), FLT3/ITD, NPM1, and DNMT3a mutations were associated with higher leukocytes counts at presentation of AML-NK. In 284 patients who received standard remission induction (RI) chemotherapy (excluding 119 patients with conservative treatment and 22 early death/1 follow-up loss after RI chemotherapy), those with FLT3/ITD mutation were significantly associated with a higher risk of relapse (p=0.02), a shorter leukemic-free survival duration (LFS)(p<0.01) or overall survival (OS) (p=0.01). Accordingly, we divided the patients into FLT3/ITD+ and FLT3/ITD− population, and analyzed their treatment outcomes according to the other mutations. In the FLT3/ITD− group (n=200), those with NPM1 mutation showed a higher CR rates after one or two cycles of RI chemotherapy (p<0.01) and a longer OS duration (p<0.01), hazard ratio (HR) 0.43, 95% confidence interval (CI) 0.25–0.73, adjusted by other clinical variables including age, leukocyte counts at diagnosis, and transplantation (Figure 1). In the FLT3/ITD+ patients (n=84), NPM1 mutation was found to be a favorable prognostic factor showing a lower relapse rate (p=0.00), a longer LFS duration (p<0.01, HR 0.35, 95% CI 0.18–0.70), and OS duration (p=0.04, HR 0.55, 95% CI 0.31–0.98) in NPM1 mutated patients. In addition, OS was significantly different in favor of those with IDH2, especially R140Q IDH2 mutation, (p=0.04, HR 0.30, 95% CI 0.09–0.99), whereas DNAH11 mutation was associated with inferior OS (p<0.01, HR 5.78, 95% CI 1.65–20.25). Accordingly, we stratified the FLT3/ITD+ patients into three subgroups according to the NPM1, IDH1/2 and DNAH11 mutation status, Group 1: NPM1 mutation and IDH1 or 2 mutations (n=16), Group 2: isolated DNAH11 mutation (n=4) and Group 3: all mutations were negative (n=64). The group 1 showed significantly better OS than group 2 (p<0.01, HR 16.90, 95% CI 3.48–82.15) or group 3 (p<0.01, HR 3.40, 95% CI 1.20–9.55) (Figure 2). In a subgroup analysis of younger patients less than 60 years of age, similar outcomes were also observed in favor of group 1 in terms of OS (data not shown). Conclusion: Our study confirmed that NPM1 mutation is an independent prognostic factor in adult patients with AML-NK not harboring FLT3/ITD mutation. In addition, several other genetic markers were identified as prognostic including IDH1/2 or DNAH11 mutations as well as NPM1 mutation in a subgroup of AML-NK patients with FLT3/ITD mutation. 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 | 0.000 | 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) | 0.002 | 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".