The landscape of precision cancer medicine clinical trials in the United States.

PURPOSE Advances in tumor biology and multiplex genomic analysis have ushered in the era of precision cancer medicine. Little is currently known, however, about the landscape of prospective "precision cancer medicine" clinical trials in the U.S. METHODS We identified all adult interventional cancer trials registered on ClinicalTrials.gov between September 2005 and May 2013. Trials were classified as "precision cancer medicine" if a genomic alteration in a predefined set of 88 genes was required for enrollment. Baseline characteristics were ascertained for each trial. RESULTS Of the initial 18,797 trials identified, 9094 (48%) were eligible for inclusion: 684 (8%) were classified as precision cancer medicine trials and 8410 (92%) were non-precision cancer medicine trials. Compared with non-precision cancer medicine trials, precision cancer medicine trials were significantly more likely to be phase II [RR 1.19 (1.10-1.29), p<0.001], multi-center [RR 1.18 (1.11-1.26), p<0.001], open-label [RR 1.04 (1.02-1.07), p=0.005] and involve breast [RR 4.03 (3.49-4.52), p<0.001], colorectal [RR 1.62 (1.22-2.14), p=0.002] and skin [RR 1.98 (1.55-2.54), p<0.001] cancers. Precision medicine trials required 38 unique genomic alterations for enrollment. The proportion of precision cancer medicine trials compared to the total number of trials increased from 3% in 2006 to 16% in 2013. CONCLUSION The proportion of adult cancer clinical trials in the U.S. requiring a genomic alteration for enrollment has increased substantially over the past several years. However, such trials still represent a small minority of studies performed within the cancer clinical trials enterprise and include a small subset of putatively "actionable" alterations.

[1]  E. Eisenhauer,et al.  Review of phase II trial designs used in studies of molecular targeted agents: outcomes and predictors of success in phase III. , 2008, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[2]  Jan Bogaerts,et al.  Designing transformative clinical trials in the cancer genome era. , 2013, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[3]  K. J. Johansen Taber,et al.  The promise and challenges of next-generation genome sequencing for clinical care. , 2014, JAMA internal medicine.

[4]  A. H. Zwinderman,et al.  Trial Designs for Personalizing Cancer Care: A Systematic Review and Classification , 2013, Clinical Cancer Research.

[5]  Richard Simon,et al.  Implementing personalized cancer genomics in clinical trials , 2013, Nature Reviews Drug Discovery.

[6]  Funda Meric-Bernstam,et al.  Building a personalized medicine infrastructure at a major cancer center. , 2013, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[7]  Robert M Califf,et al.  Characteristics of clinical trials registered in ClinicalTrials.gov, 2007-2010. , 2012, JAMA.

[8]  J. Brugarolas Molecular genetics of clear-cell renal cell carcinoma. , 2014, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[9]  Robert Hauser,et al.  CancerLinQ and the future of cancer care. , 2013, American Society of Clinical Oncology educational book. American Society of Clinical Oncology. Annual Meeting.

[10]  N. Girard,et al.  New driver mutations in non-small-cell lung cancer. , 2011, The Lancet. Oncology.

[11]  A. McKenna,et al.  The Mutational Landscape of Head and Neck Squamous Cell Carcinoma , 2011, Science.

[12]  M. Hall Conflicted confidence: academic oncologists' views on multiplex pharmacogenomic testing. , 2014, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[13]  G. Sledge The challenge and promise of the genomic era. , 2012, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[14]  A. Børresen-Dale,et al.  The landscape of cancer genes and mutational processes in breast cancer , 2012, Nature.

[15]  William Pao,et al.  Using multiplexed assays of oncogenic drivers in lung cancers to select targeted drugs. , 2014, JAMA.

[16]  V. Beneš,et al.  Integrative genomic analyses reveal an androgen-driven somatic alteration landscape in early-onset prostate cancer. , 2013, Cancer cell.

[17]  Nikhil Wagle,et al.  High-throughput detection of actionable genomic alterations in clinical tumor samples by targeted, massively parallel sequencing. , 2012, Cancer discovery.

[18]  C. Sander,et al.  Genome Sequencing Identifies a Basis for Everolimus Sensitivity , 2012, Science.

[19]  S. Gabriel,et al.  Activating mTOR mutations in a patient with an extraordinary response on a phase I trial of everolimus and pazopanib. , 2014, Cancer discovery.

[20]  Adam Kiezun,et al.  Whole-exome sequencing and clinical interpretation of FFPE tumor samples to guide precision cancer medicine , 2013, Nature Medicine.

[21]  Nikhil Wagle,et al.  Response and acquired resistance to everolimus in anaplastic thyroid cancer. , 2014, The New England journal of medicine.