p53 Nuclear Expression Correlates With Hemizygous TP53 Deletion and Predicts an Adverse Outcome for Patients With Relapsed/Refractory Multiple Myeloma Treated With Lenalidomide
Bibliographic record
Abstract
del(17p13)(TP53) seems to be an independent poor prognostic factor in patients with relapsed/refractory multiple myeloma (MM) receiving lenalidomide. However, whether aberrant p53 nuclear expression detected by immunohistochemical analysis can be used as a surrogate marker for del(17p13)(TP53) in prognostic evaluation of lenalidomide-treated relapsed/refractory MM remains unclear. The p53 expression in myeloma cells from 88 patients was evaluated by immunohistochemical analysis, and 17p13(TP53) gene status was examined by fluorescence in situ hybridization (FISH). FISH detected hemizygous del(17p13)(TP53) in 13 (15%), and immunohistochemical analysis detected p53 nuclear expression in 11 cases (13%). del(17p13) (TP53) and p53 expression were strongly correlated (P < .0001). Furthermore, patients with aberrant p53 nuclear expression had significantly shorter progression-free and overall survival than patients without this abnormality. Our results suggest that p53 nuclear expression is associated with adverse outcome in patients with relapsed/refractory MM receiving lenalidomide-based therapy and that p53 immunohistochemical analysis may serve as a simple, rapid method to predict del(17p13)(TP53) in this patient subgroup.
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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 | 0.001 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".