Race-, Age-, and Gender-Based Characteristics and Toxicities of Targeted Therapies on Phase I Trials

Oncology. 2018;95(3):138-146. doi: 10.1159/000488763. Epub 2018 Jun 18.

Abstract

Background: The impact of age-, gender-, and race-based differences on safety and efficacy in phase I clinical trials has not been well studied.

Methods: We analyzed data from phase I clinical trials evaluating targeted biologic agents in patients with advanced solid malignancies. Race and gender distribution of enrolled patients was compared to the referral population demographics at the city, metro, and state levels. The association between age, gender, and race with type, frequency, and severity of treatment-emergent toxicities and clinical benefit was assessed using univariate and multivariable models.

Results: Data from 117 eligible patients - Blacks/Caucasians/Others (27/85/5); male/female (66/51) - were obtained. Blacks were younger than Caucasian patients (median age of 56 vs. 62 years, p = 0.004). Nausea/vomiting was more frequent in female patients (43 vs. 24%, p = 0.03), while hematologic toxicity was more likely in Whites. While median time on treatment was comparable (113 vs. 91; p = 0.840), the median overall survival was significantly shorter for Blacks versus Caucasians (7.4 vs. 11.4 months; p = 0.0227). Black race (HR 2.11; 95% CI 1.24-3.60; p = 0.006) and older age (HR 1.03; 95% CI 1.00-1.06; p = 0.029) were associated with an increased risk of death.

Conclusions: Age-, gender-, and race-based disparities were observed with specific toxicity and survival outcomes on phase I clinical trials of anticancer agents.

Keywords: Gender; Phase I study; Race; Targeted therapy; Tolerability; Toxicity.

MeSH terms

  • Age Factors
  • Biological Factors / adverse effects*
  • Biological Factors / therapeutic use*
  • Clinical Trials, Phase I as Topic*
  • Female
  • Gender Identity
  • Humans
  • Male
  • Middle Aged
  • Neoplasms / drug therapy*
  • Racial Groups / statistics & numerical data*

Substances

  • Biological Factors