Large clones of clonal hematopoiesis affect outcome in mantle cell lymphoma: results from the FIL MCL0208 clinical trial
Bibliographic record
Abstract
ABSTRACT: Although recent evidence suggests that myeloid clonal hematopoiesis (M-CH) may influence lymphoma clinical outcome, its impact in mantle cell lymphoma (MCL) remains unclear. Here, we report a comprehensive next-generation sequencing-based analysis of the M-CH mutational landscape at baseline and follow-up in patients enrolled in the Fondazione Italiana Linfomi MCL0208 phase 3 trial, evaluating lenalidomide maintenance vs observation after chemoimmunotherapy and autologous stem cell transplantation (ASCT) in untreated young patients with MCL. Overall, 254 of 300 (85%) enrolled patients (median age, 57 years [range, 32-66]) had a baseline sample available for CH analysis. Using stringent criteria, at least 1 mutation involving M-CH candidate genes was described in 34 patients (13%), with DNMT3A being the most frequently mutated gene (54%). After a median follow-up of 7 years, the presence of large CH clones (variant allele frequency of ≥10%) predicted worse progression-free survival (hazard ratio [HR], 2.93; 95% confidence interval [CI] 1.36-6.31; P = .006) and overall survival (HR, 3.02 [1.21-7.55]; P = .018) compared with patients with CH. Importantly, the competing risks analysis demonstrates that the worse clinical outcome associated with M-CH large clones is linked to MCL progression (P < .05). Moreover, large M-CH clones showed longer time to hematological recovery after ASCT than the remaining cohort (P = .026). In conclusion, we showed for the first time that large CH clones might associate with unfavorable clinical impact in patients with MCL. This trial was registered at www.clinicaltrialsregister.eu as EudraCT (2009-012807-25) and www.ClinicalTrials.gov as #NCT02354313.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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 teacher head, 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".