| Title |
A risk-adapted, response-based approach using ABVE-PC for children and adolescents with intermediate- and high-risk Hodgkin lymphoma: the results of P9425
|
|---|---|
| Published in |
Blood, July 2009
|
| DOI | 10.1182/blood-2008-10-184143 |
| Pubmed ID | |
| Authors |
Cindy L. Schwartz, Louis S. Constine, Doojduen Villaluna, Wendy B. London, Robert E. Hutchison, Richard Sposto, Steven E. Lipshultz, Charles S. Turner, Pedro A. deAlarcon, Allen Chauvenet |
| Abstract |
Current treatment strategies for Hodgkin lymphoma result in excellent survival but often confer significant long-term toxicity. We designed ABVE-PC (doxorubicin, bleomycin, vincristine, etoposide, prednisone, cyclophosphamide) to (1) enhance treatment efficacy by dose-dense drug delivery and (2) reduce risk of long-term sequelae by response-based reduction of cumulative chemotherapy. Efficient induction of early response by dose-dense drug delivery supported an early-response-adapted therapeutic paradigm. The 216 eligible patients were younger than 22 years with intermediate- or high-risk Hodgkin lymphoma. ABVE-PC was administered every 21 days. Rapid early responders (RERs) to 3 ABVE-PC cycles received 21 Gy radiation to involved regions; RER was documented in 63% of patients. Slow early responders received 2 additional ABVE-PC cycles before 21 Gy radiation. Five-year event-free-survival was 84%: 86% for the RER and 83% for the slow early responders (P = .85). Only 1% of patients had progressive disease. Five-year overall survival was 95%. With this regimen, cumulative doses of alkylators, anthracyclines, and epipodophyllotoxins are below thresholds usually associated with significant long-term toxicity. ABVE-PC is a dose-dense regimen that provides outstanding event-free survival/overall survival with short duration, early-response-adapted therapy. |
Login to access the Attention Digest and the Sentiment Analysis related to this output.
Mendeley demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 93 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Postgraduate | 12 | 13% |
| Other | 11 | 12% |
| Student > Doctoral Student | 9 | 10% |
| Researcher | 9 | 10% |
| Student > Master | 8 | 9% |
| Other | 20 | 22% |
| Unknown | 24 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 44 | 47% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 3% |
| Agricultural and Biological Sciences | 3 | 3% |
| Biochemistry, Genetics and Molecular Biology | 2 | 2% |
| Nursing and Health Professions | 2 | 2% |
| Other | 8 | 9% |
| Unknown | 31 | 33% |