131I-Apamistamab-Led Allogeneic Hematopoietic Cell Transplant Significantly Improves Overall Survival in Patients with TP53 Mutated R/R AML
Bibliographic record
Abstract
Background : Allogeneic hematopoietic cell transplant (alloHCT) is the only potentially curative therapy for patients (pts) with relapsed or refractory (R/R) AML. Only a minority undergo alloHCT as they typically have dismal outcomes due to high relapse rates, especially those with TP53 mutations and active disease. Additionally, older pts cannot tolerate intensive treatment and hence are not eligible for alloHCT. 131I-apamistamab, an anti-CD45 radioimmunoconjugate, delivers high dose targeted radiation to hematopoietic cells, allowing for myeloablation and eradication of leukemic cells. 131I-apamistamab led induction and conditioning can thus provide these pts access to alloHCT potentially leading to better disease control and outcomes even in pts with the TP53 mutation. Methods: The SIERRA trial (NCT02665065) is a multi-center, randomized, controlled Phase 3 study comparing the rate of durable complete remission (dCR) lasting ≥6 months (mos) after complete remission with/without platelet recovery (CR/CRp) between two groups: 131I-apamistamab led induction and conditioning followed by alloHCT vs physician's choice of conventional care (CC). Pts were randomized (1:1) to CC or 131I-apamistamab with fludarabine and total body irradiation (2 Gy) followed by alloHCT. CR/CRp assessment was 28-56 days post alloHCT or 28-42 days post initiation of therapy in the CC group. Pts in the CC group not achieving leukemia-free state could crossover (CO) to 131I-apamistamab. We report the characteristics and outcomes of all pts with TP53 mutation who were enrolled in the SIERRA trial. Results: In total, 153 pts were randomized (CC, n=77; 131I-apamistamab, n=76). All pts who received the therapeutic dose of 131I-apamistamab (n=66) underwent HCT vs 14 (18.2%) in the CC group. Of evaluable pts, dCR rates at 6 months were 22% in the 131I-apamistamab group vs 0% in the CC group (95% CI;12.29, 34.73; p<0.0001). A total of 37 pts with TP53 mutation were enrolled (CC=20; 131I-apamistamab =17) with a prevalence of 24.2%. Table 1 shows the baseline characteristics of these pts. Median overall survival (OS) for pts in the 131I-apamistamab group, who were TP53 negative was 6.37 mos compared to 5.72 mos for the TP53 mutation positive pts (HR=0.66; 95% CI [0.37, 1.18]; p=0.16). In the CC group (including CO pts), the median OS for TP53 positive pts was 2.96 mos. When the CC group without CO were analyzed, the median OS was 6.51 mos and 1.66 mos for the TP53 mutation negative and positive groups respectively (HR=0.28; 95% CI [0.12, 0.67]; p=0.0022). For TP53 mutation positive pts who received 131I-apamistamab ( 131I-apamistamab plus CO pts), the median OS was 5.49 mos compared to a median 1.66 mos in pts who did not receive 131I-apamistamab (CC pts without CO) [(HR=0.23; 95% CI [0.10, 0.52]; p=0.0002) (Figure 1)]. Conclusion: Pts with TP53 mutated R/R AML have a dismal prognosis and are seldom offered alloHCT due to high post-transplant relapse rates. 131I-apamistamab led alloHCT significantly improves survival outcomes in pts with TP53 mutations, commensurate with rates observed in pts with wildtype TP53, thereby overcoming the negative impact of this mutation. These data clearly support the use of 131I-apamistamab led induction and conditioning and alloHCT in R/R AML, including in patients with a TP53 mutation.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 |
| 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".