Campath-1H Treatment of T-Cell Prolymphocytic Leukemia in Patients for Whom at Least One Prior Chemotherapy Regimen Has Failed
Bibliographic record
Abstract
PURPOSE: We conducted a retrospective analysis to evaluate the safety and efficacy of Campath-1H, an anti-CD52 humanized monoclonal antibody, in previously treated T-prolymphocytic leukemia (T-PLL) patients in a compassionate-use program. PATIENTS AND METHODS: Seventy-six patients with T-PLL (including four chemotherapy-naive patients) received 3, 10, and 30 mg of Campath-1H on sequential days, followed by 30 mg three times weekly, as 2-hour intravenous infusions, for 4 to 12 weeks. RESULTS: Median patient age was 60 years (range, 35 to 84). Spleen liver, lymph node, and skin involvement were present in 64%, 40%, 54%, and 18% of patients, respectively. All tested patients had CD2, CD7, CD4, and/or CD8 positivity, whereas CD5 and CD3 were positive in 98% and 96% of tested patients, respectively. The objective response rate was 51% (95% confidence interval [CI], 40% to 63%), with a 39.5% complete response (CR) rate (95% CI, 28% to 51%). The median duration of CR was 8.7 months (range, 0.13+ to 44.4), and median time to progression was 4.5 months (range, 0.1 to 45.4) compared with 2.3 months (range, 0.2 to 28.1) after first-line chemotherapy. The median overall survival was 7.5 months (14.8 months for CR patients). The most common Campath-1H–related adverse events were acute reactions during or immediately after infusions. Fifteen infectious episodes occurred during treatment in 10 patients (13%), leading to treatment discontinuation in three. Eight patients experienced possibly related, late-onset infections. Severe thrombocytopenia and/or neutropenia occurred in six patients (8%), leading to treatment discontinuation in four. Two treatment-related deaths occurred. CONCLUSION: Campath-1H is an active drug in T-PLL patients for whom first-line therapy has failed. It has a favorable risk/benefit ratio and should be prospectively investigated in chemotherapy-naive patients.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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) | 0.001 | 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".