Impact of genomic aberrations including chromosome 1 abnormalities on the outcome of patients with relapsed or refractory multiple myeloma treated with lenalidomide and dexamethasone
Bibliographic record
Abstract
Previous literature suggests that cytogenetics may be used for risk-adapted therapy in patients with relapsed/refractory multiple myeloma (MM) treated with lenalidomide and dexamethasone. However, the significance of each abnormality is still unclear, and chromosome 1 abnormalities have yet to be studied in this population. We therefore evaluated genetic risk factors including chromosome 1q gain and 1p loss by cIg-FISH in 143 patients with relapsed/refractory MM treated with lenalidomide and dexamethasone, and correlated the genomic aberrations with patient clinical outcomes. Patients had a median of two (range 1-7) previous therapies in this cohort. A total of 119 out of 143 (83%) patients had an objective response, with median time to progression (TTP) and overall survival (OS) of 11 and 28 months, respectively. Patients with del(1p21) or del(17p) (p53) deletions had a significantly shorter TTP. OS was shorter in patients with 1p21 or 17p deletions, but did not reach statistical significance. Prior bortezomib or thalidomide treatment was associated with shorter TTP and OS. Multivariate analysis identified del(17p), del(1p21), and prior bortezomib or thalidomide therapy as independent risk factors for shorter TTP. Our data suggest that chromosome 17p and 1p21 deletions adversely impact the outcome of lenalidomide and dexamethasone treated patients with relapsed/refractory MM. Improved therapeutic strategies are required for these patients.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".