The Spectrum of Lymphoma with 8q24 Aberrations: A Clinical, Pathological and Cytogenetic Study of 87 Consecutive Cases
Bibliographic record
Abstract
To define the histologic, cytogenetic (CG) and clinical spectrum of non-Hodgkin lymphoma (NHL) carrying an 8q24 (c-myc) translocation, 87 patients with an 8q24 aberration were identified from 785 consecutive successfully analyzed cases. Aberrations involving 8q24 were found at diagnosis (n = 66) or at relapse/progression (n = 21). Histologically, Burkitt-like lymphoma (BLL) (32%) and Burkitt's leukemia/lymphoma (BL) (19%) with 8q24 changes at diagnosis, was the most common. Nevertheless, 46% of cytogenetically characterized BL and BLL cases do not show 8q24 aberrations. On the other hand, 8q24 aberration was also often found in follicular lymphoma (FL), mantle cell lymphoma (MCL) and low-grade NHL cases at progression. Cytogenetically, a de novo group is represented by classical t(8;14)(q24;q32) (n = 41), with isolated 8q24 changes, fewer secondary CG changes and represent mostly BL/BLL cases. In contrast, cases carrying variant 8q24 aberrations (n = 29) contain more CG events, carried primary 14q32 translocations, and included most FL, MCL and diffuse large B cell (DLBC) lymphoma cases. Clinically, the overall median follow-up was 8.6 months (range 0-192), with a median survival of 4.2 months from CG analysis. The presence of a 8q24 aberration give a statistically significant inferior prognosis than its absence in all histological groups, independent of clinical prognostic factors, when analyzed both at diagnosis and at relapse. We conclude that the finding of an 8q24 aberration is of marked negative prognostic significance, either at diagnosis or at disease progression, in a variety of NHL.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".