Literature DB >> 25605452

Biomarker use is associated with reduced clinical trial failure risk in metastatic melanoma.

Daniel A Rubinger1, Sarah S Hollmann, Viktoria Serdetchnaia, D Scott Ernst, Jayson L Parker.   

Abstract

Given the high morbidity and mortality associated with metastatic melanoma, considerable attention has been paid to identifying potential therapies. Until recently, few therapies have been specifically approved for treating metastatic melanoma. In an attempt to increase clinical trial successes, many therapies are implementing biomarkers for patient stratification. This strategy narrows down the population in an effort to identify appropriate subpopulations that have increased efficacy or fewer safety concerns. However, the addition of a biomarker constitutes an additional risk to clinical development and may therefore increase the overall clinical trial risk. Here, we examine the clinical trial success rate for therapies targeting metastatic melanoma. In addition, we identify the impact that biomarkers have had on the clinical development of this disease.

Entities:  

Keywords:  biomarker; clinical trial risk; drug approval; drug development; metastatic melanoma

Mesh:

Substances:

Year:  2015        PMID: 25605452     DOI: 10.2217/bmm.14.80

Source DB:  PubMed          Journal:  Biomark Med        ISSN: 1752-0363            Impact factor:   2.851


  4 in total

1.  Companion diagnostics at the intersection of personalized medicine and healthcare delivery.

Authors:  Scott A Waldman; Andre Terzic
Journal:  Biomark Med       Date:  2015       Impact factor: 2.851

2.  Eyes absent gene (EYA1) is a pathogenic driver and a therapeutic target for melanoma.

Authors:  Joshua Jiawei Zhou; Yuanshen Huang; Xue Zhang; Yabin Cheng; Liren Tang; Xiaodong Ma
Journal:  Oncotarget       Date:  2017-09-27

3.  The Effect of Biomarker Use on the Speed and Duration of Clinical Trials for Cancer Drugs.

Authors:  Luqmaan Mohamed; Siddhi Manjrekar; Derek P Ng; Alec Walsh; Gilberto Lopes; Jayson L Parker
Journal:  Oncologist       Date:  2022-10-01       Impact factor: 5.837

4.  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 in total

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