Literature DB >> 21733411

Clinical trial risk in Non-Hodgkin's lymphoma: endpoint and target selection.

Jayson L Parker1, Zoe Yi Zhang, Rena Buckstein.   

Abstract

PURPOSE: To quantify the clinical trial risk of new drug development in Non-Hodgkin's lymphoma (NHL). Risk estimates for this disease have not been reported before.
METHODS: We undertook a retrospective review of clinical trials in (NHL) in four subtypes to compare the success rate with the industry average. Our inclusion criteria required that a drug must initiate its phase I trial in one of the four NHL subtypes between 1998 and June 2008 in the US. In addition, clinical trials of new drug candidates that pertain to four subtypes of NHL were retrieved from clinicaltrial.gov. Drug candidates that did not meet these criteria were excluded from the study.
RESULTS: The overall success rate (8-11%) was significantly lower than the industry standard (17%). Overall survival (OS) as a secondary outcome appeared more predictive than primary endpoints that were surrogate, of overall success. Further, targeted therapies appear more successful in these lymphoma sub-types than broad acting drugs.
CONCLUSION: Clinical trial risk in NHL, with an 89% failure rate reported here, may be reduced by basing decisions on OS secondary endpoints and biologic drugs.

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Year:  2011        PMID: 21733411     DOI: 10.18433/j39p45

Source DB:  PubMed          Journal:  J Pharm Pharm Sci        ISSN: 1482-1826            Impact factor:   2.327


  4 in total

Review 1.  Precision Medicine: An Optimal Approach to Patient Care in Renal Cell Carcinoma.

Authors:  Revati Sharma; George Kannourakis; Prashanth Prithviraj; Nuzhat Ahmed
Journal:  Front Med (Lausanne)       Date:  2022-06-14

2.  The growing role of precision and personalized medicine for cancer treatment.

Authors:  Paulina Krzyszczyk; Alison Acevedo; Erika J Davidoff; Lauren M Timmins; Ileana Marrero-Berrios; Misaal Patel; Corina White; Christopher Lowe; Joseph J Sherba; Clara Hartmanshenn; Kate M O'Neill; Max L Balter; Zachary R Fritz; Ioannis P Androulakis; Rene S Schloss; Martin L Yarmush
Journal:  Technology (Singap World Sci)       Date:  2019-01-11

3.  Does biomarker use in oncology improve clinical trial failure risk? A large-scale analysis.

Authors:  Jayson L Parker; Sebnem S Kuzulugil; Kirill Pereverzev; Stephen Mac; Gilberto Lopes; Zain Shah; Ashini Weerasinghe; Daniel Rubinger; Adam Falconi; Ayse Bener; Bora Caglayan; Rohan Tangri; Nicholas Mitsakakis
Journal:  Cancer Med       Date:  2021-02-23       Impact factor: 4.452

4.  Clinical Trial Risk in Hepatitis C: Endpoint Selection and Drug Action.

Authors:  Nicole A Tillie; Jayson L Parker; Jordan J Feld
Journal:  Can J Gastroenterol Hepatol       Date:  2016-03-30
  4 in total

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