MYC gene rearrangements are associated with a poor prognosis in diffuse large B-cell lymphoma patients treated with R-CHOP chemotherapy
Why this work is in the frame
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Bibliographic record
Abstract
Approximately 5% to 10% of diffuse large B-cell lymphomas (DLBCLs) harbor an MYC oncogene rearrangement (MYC+). The prognostic significance of MYC+ DLBCL was determined in an unselected population of patients with newly diagnosed DLBCL treated with rituximab in combination with cyclophosphamide, doxorubicin, vincristine, and prednisone chemotherapy (R-CHOP). Using a Vysis break-apart fluorescence in situ hybridization probe, 12 of 135 (8.8%) cases of MYC+ DLBCL were identified that had no defining high-risk features. MYC+ DLBCL was associated with an inferior 5-year progression-free survival (66% vs 31%, P = .006) and overall survival (72% vs 33%, P = .016). Multivariate analysis confirmed the prognostic importance of MYC for both progression-free survival (hazard ratio = 3.28; 95% confidence interval, 1.49-7.21, P = .003) and overall survival (hazard ratio = 2.98; 95% confidence interval, 1.28-6.95, P = .011). Cases of MYC+ DLBCL also had a higher risk of central nervous system relapse (P = .023), independent of other risk factors. The diagnosis of MYC+ DLBCL is likely underappreciated; and given the lack of defining risk factors, fluorescence in situ hybridization for MYC rearrangements should be performed in all patients with DLBCL. In the R-CHOP treatment era, MYC+ DLBCLs have an inferior prognosis. Treatment regimens similar to those used in Burkitt lymphoma may be more appropriate in this patient population and need to be prospectively tested.
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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) | 0.000 | 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 it