A genetically distinct pediatric subtype of primary CNS large B-cell lymphoma is associated with favorable clinical outcome
Bibliographic record
Abstract
Primary central nervous system (CNS) lymphoma (PCNSL) is an aggressive non-Hodgkin lymphoma with CNS confinement; large B-cell lymphoma (LBCL) accounts for most PCNSL.The median age for PCNS-LBCL is 66 years, with occurrence in younger adults and pediatric cases being uncommon.1 Although immunodeficient children have an increased risk of developing PCNSL, most cases of pediatric PCNSL in the past few decades have been reported in immunocompetent individuals.Previous studies have reported that the prognosis for PCNS-LBCL is better in pediatric and younger adults than in older adults who have a median survival of ,3 years.2,3 Aberrant constitutive activation of the NF-kB signaling pathway is a hallmark of PCNS-LBCL in adults and is characterized by frequent MYD88 mutation, CD79B mutation, PRDM1 mutation/deletion, CDKN2A biallelic deletion, and HLA gene cluster deletion.[4][5][6][7][8][9] However, the molecular pathogenesis of PCNS-LBCL in children and young adults is largely unknown and may be different from that in older adults, helping to explain the divergent clinical outcomes.
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.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.001 | 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".