Alemtuzumab and CHOP Chemotherapy for the Treatment of Aggressive Histology Peripheral T Cell Lymphomas: A Multi-Center Phase I Study
Bibliographic record
Abstract
BACKGROUND: Alemtuzumab has single-agent activity in relapsed peripheral T cell lymphoma (PTL), but the optimal dose and/or schedule in combination with chemotherapy for first-line use is unknown. The primary objectives were to establish the maximally tolerated dose and pharmacokinetics (PK) of alemtuzumab combined in this way. PATIENTS AND METHODS: Adult patients with untreated CD52-positive (CD52(+)) PTL were enrolled in a phase I trial. Alemtuzumab was given subcutaneously in escalating doses and/or schedules in combination with CHOP (cyclophosphamide, adriamycin, vincristine and prednisone) using a 3+3 design. Trough PK of alemtuzumab were measured on day 1 of each 21-day cycle and B and T cell subsets were serially measured. RESULTS: Twenty patients were enrolled across 4 dose levels. Dose-limiting toxicities necessitated expansion at 10 mg weekly (fatal tuberculosis reactivation) and 60 mg every 3 weeks (grade 4 thrombocytopenia) dose levels. Maximally tolerated dose was not reached. Ten patients developed asymptomatic cytomegalovirus reactivations at a median of 39 days (range, 4-99 days). Two patients developed fungal pneumonias. The overall and complete response rates were 68% and 37%, respectively. Highest day 1 alemtuzumab trough levels were achieved at 60 mg (1973 ng/mL), but with significant inter- and intradose variability. Lymphopenia at baseline was common and T cell recovery was significantly delayed. CONCLUSION: With monitoring and prophylaxis, alemtuzumab 60 mg combined with CHOP showed activity in CD52(+) PTL and achieved the highest drug levels.
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How this classification was reachedexpand
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".