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Factors Affecting Combination Trial Success (FACTS): Investigator Survey Results on Early-Phase Combination Trials.
Paller, Channing J; Huang, Erich P; Luechtefeld, Thomas; Massett, Holly A; Williams, Christopher C; Zhao, Jinxiu; Gravell, Amy E; Tamashiro, Tami; Reeves, Steven A; Rosner, Gary L; Carducci, Michael A; Rubinstein, Lawrence; Ivy, S Percy.
Afiliação
  • Paller CJ; Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, MD, United States.
  • Huang EP; Biometrics Research Program, Division of Cancer Treatment and Diagnosis, National Cancer Institute, Rockville, MD, United States.
  • Luechtefeld T; Environmental Health Sciences, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.
  • Massett HA; Cancer Therapy Evaluation Program, Division of Cancer Treatment and Diagnosis, National Cancer Institute, Rockville, MD, United States.
  • Williams CC; Clinical Trials Information Management Services, Emmes Corporation, Rockville, MD, United States.
  • Zhao J; Clinical Trials Information Management Services, Emmes Corporation, Rockville, MD, United States.
  • Gravell AE; Clinical Trials Information Management Services, Emmes Corporation, Rockville, MD, United States.
  • Tamashiro T; Clinical Trials Information Management Services, Emmes Corporation, Rockville, MD, United States.
  • Reeves SA; Coordinating Center for Clinical Trials, National Cancer Institute, Rockville, MD, United States.
  • Rosner GL; Division of Biostatistics and Bioinformatics, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, MD, United States.
  • Carducci MA; Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, MD, United States.
  • Rubinstein L; Biometrics Research Program, Division of Cancer Treatment and Diagnosis, National Cancer Institute, Rockville, MD, United States.
  • Ivy SP; Cancer Therapy Evaluation Program, Division of Cancer Treatment and Diagnosis, National Cancer Institute, Rockville, MD, United States.
Front Med (Lausanne) ; 6: 122, 2019.
Article em En | MEDLINE | ID: mdl-31214592
Experimental therapeutic oncology agents are often combined to circumvent tumor resistance to individual agents. However, most combination trials fail to demonstrate sufficient safety and efficacy to advance to a later phase. This study collected survey data on phase 1 combination therapy trials identified from ClinicalTrials.gov between January 1, 2003 and November 30, 2017 to assess trial design and the progress of combinations toward regulatory approval. Online surveys (N = 289, 23 questions total) were emailed to Principal Investigators (PIs) of early-phase National Cancer Institute and/or industry trials; 263 emails (91%) were received and 113 surveys completed (43%). Among phase 1 combination trials, 24.9% (95%CI: 15.3%, 34.4%) progressed to phase 2 or further; 18.7% (95%CI: 5.90%, 31.4%) progressed to phase 3 or regulatory approval; and 12.4% (95%CI: 0.00%, 25.5%) achieved regulatory approval. Observations of "clinical promise" in phase 1 combination studies were associated with higher rates of advancement past each milestone toward regulatory approval (cumulative OR = 11.9; p = 0.0002). Phase 1 combination study designs were concordant with Clinical Trial Design Task Force (CTD-TF) Recommendations 79.6% of the time (95%CI: 72.2%, 87.1%). Most discordances occurred where no plausible pharmacokinetic or pharmacodynamic interactions were expected. Investigator-defined "clinical promise" of a combination is associated with progress toward regulatory approval. Although concordance between study designs of phase 1 combination trials and CTD-TF Recommendations was relatively high, it may be beneficial to raise awareness about the best study design to use when no plausible pharmacokinetic or pharmacodynamic interactions are expected.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Guideline / Prognostic_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Guideline / Prognostic_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article