Bortezomib Is Active in Patients With Untreated or Relapsed Waldenström's Macroglobulinemia: A Phase II Study of the National Cancer Institute of Canada Clinical Trials Group
Bibliographic record
Abstract
PURPOSE: To evaluate the efficacy and toxicity of single-agent bortezomib in Waldenström's macroglobulinemia (WM). PATIENTS AND METHODS: Symptomatic WM patients, untreated or previously treated, received bortezomib 1.3 mg/m2 intravenously days 1, 4, 8, and 11 on a 21-day cycle until two cycles past complete response (CR), stable disease (SD) attained, progression (PD), or unacceptable toxicity. Responses were based on both paraprotein levels and bidimensional disease measurements. RESULTS: Twenty-seven patients were enrolled. A median of six cycles (range, two to 39) of bortezomib were administered. Twenty-one patients had a decrease in immunoglobulin M (IgM) of at least 25%, with 12 patients (44%) reaching at least 50% IgM reduction. Using both IgM and bidimensional criteria, responses included seven partial responses (PRs; 26%), 19 SDs (70%), and one PD (4%). Total response rate was 26%. IgM reductions were prompt, with nodal responses lagging. Hemoglobin levels increased by at least 10 g/L in 18 patients (66%). Most nonhematologic toxicities were grade 1 to 2, but 20 patients (74%) developed new or worsening peripheral neuropathy (five patients with grade 3, no grade 4), a common cause for dose reduction. Onset of neuropathy was within two to four cycles and reversible in the majority. Hematologic toxicities included grade 3 to 4 thrombocytopenia in eight patients (29.6%) and neutropenia in five (19%). Toxicity led to treatment discontinuation in 12 patients (44%), most commonly because of neuropathy. CONCLUSION: Bortezomib has efficacy in WM, but neurotoxicity can be dose limiting. The slower response in nodal disease may require prolonged therapy, perhaps with a less intensive dosing schedule to avoid early discontinuation because of toxicity. Future studies of bortezomib in combination with other agents are warranted.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".