Germinal-center type B-cell classification and clinical characteristics of Chinese pediatric diffuse large B-cell lymphoma: a report of 76 cases
Bibliographic record
Abstract
Pediatric diffuse large B-cell lymphoma (DLBCL) is a highly aggressive disease with unique clinical characteristics. This study analyzed the germinal-center type B-cell (GCB) classification and clinical characteristics of Chinese pediatric DLBCL. A total of 76 patients with DLBCL newly diagnosed in Sun Yat-sen University Cancer Center between February 2000 and May 2011, with an age younger than 18 years, were included in the analysis. The male/female ratio was 3.47:1. The median age was 12 years (range, 2 to 18 years), and 47 (61.8%) patients were at least 10 years old. Of the 76 patients, 48 (63.2%) had stage III/IV disease, 9 (11.8%) had bone marrow involvement, 1 (1.3%) had central nervous system (CNS) involvement, and 5 (6.6%) had bone involvement. The GCB classification was assessed in 45 patients: 26 (57.8%) were classified as GCB subtype, and 19 (42.2%) were classified as non-GCB subtype. The modified B-NHL-BFM-90/95 regimen was administered to 50 patients, and the 4-year event-free survival (EFS) rate was 85.8%. Among these 50 patients, 31 were assessed for the GCB classification: 17 (54.8%) were classified as GCB subtype, with a 4-year EFS rate of 88.2%; 14 (45.2%) were classified as non-GCB subtype, with a 4-year EFS rate of 92.9%. Our data indicate that bone marrow involvement and stage III/IV disease are common in Chinese pediatric DLBCL patients, whereas the percentage of patients with the GCB subtype is similar to that of patients with the non-GCB subtype. The modified B-NHL-BFM-90/95 protocol is an active and effective treatment protocol for Chinese pediatric patients with DLBCL.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| 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".