Pilot Study to Characterize the HRHV Axis in the Microenvironment of Melanoma in Patients Undergoing Isolated Limb Infusion or Hypothermic Isolated Limb Perfusion With Melphalan
试验速览
- 阶段
- 1 期
- 状态
- 已完成
- 发起方
- 入组人数
- 15
- 试验地点
- 1
- 主要终点
- Spatial comparison between marker proteins and hypoxia.
研究概览
简要总结
The purpose of this pilot study is to determine the prevalence of markers of chronic and cycling hypoxia and reactive species stress (oxidative and nitrosative) in the melanoma tumor microenvironment. The study is based around four cornerstone features of the pathologic microenvironment - Hypoxia, Reactive Species (reactive oxygen and nitrogen species), HIF-1 and VEGF, which the investigators term the HRHV axis. Patients with in-transit melanoma (AJCC Stage IIIB or IIIC) (1) will be administered the hypoxia marker drug, EF5, 24 hr prior to isolated limb infusion (ILI) or hyperthermic isolated limb perfusion (HILP). Tumor biopsies will be performed just prior to ILI or HILP, at the 30 minute time point during ILI (or 60 minute time point during HILP), AND 24 hours after ILI or HILP. Tissues obtained will be snap frozen and subsequently analyzed for EF5 binding. Immunohistochemical analysis of a cohort of immunohistochemical and urine markers that depict the HRHV axis will also be examined. The association of the markers with the presence of hypoxia, as determined by EF5 positivity, will be determined. Data from this pilot study will be used to establish the prevalence of markers of the HRHV axis in melanoma. This information will be crucial for future human trials in which the HRHV axis is therapeutically targeted.
研究设计
- 研究类型
- Interventional
- 分配方式
- Na
- 干预模型
- Single Group
- 主要目的
- Diagnostic
- 盲法
- None
入排标准
- 年龄范围
- 18 Years 至 —(Adult, Older Adult)
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- 未提供
排除标准
- 未提供
研究组 & 干预措施
EF5 Hypoxia
EF5 administered at 21mg/kg
干预措施: EF5 Hypoxia (Drug)
结局指标
主要结局
Spatial comparison between marker proteins and hypoxia.
时间窗: 2 years
We will describe the distribution of the markers at each of the three time points with boxplots and means (with 80% confidence intervals). The variance of each marker will be partitioned into three parts: variance due to the time (i.e., treatment) effect, variance among patients, and error variance. This calculation can easily be done by fitting a general linear model in which marker is regressed on an n-1 degree of freedom patient effect (where n is the number of patients) and a 2 degree of freedom time effect. The error variance with 2\*(n-1) degrees of freedom is of course equal to the variance of the interaction of patient with time. Obviously, we would hope to find that the variance for the time effect is larger than either of the other two variances.
次要结局
未报告次要终点
研究者
Douglas Tyler
Chair, Surgical Oncology
Duke University
