Genomic Taxonomy of Aggressive B-Cell Lymphoid Neoplasms
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Aggressive B-cell lymphomas are a heterogeneous group of neoplasms, organized in the current classifications into more than 20 categories on the basis of morphology, immunophenotype, clinical presentation, and limited molecular features. Over the past 25 years, there has been an exponential accumulation of detailed genomic characterizations of these lymphomas. Many defined categories have been confirmed as relatively homogeneous, fulfilling the classification ideal of sharing core biological hallmarks. However, the largest group, diffuse large B-cell lymphoma, not otherwise specified, which makes up 70-74% of the patients, has been revealed to be remarkably heterogeneous at a genomic and biological level. In this review, we summarize the current state of knowledge and then propose an evolution of the classification of aggressive B-cell lymphomas to a genomics-informed taxonomy built around normal B-cell development and the different modes by which lymphomas achieve key hallmarks of cancer-hallmarks that can inform on patient management.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.002 |
| 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