Ethical considerations about the collection of biological samples for genetic analysis in clinical trials

IF 2.1 Q2 ETHICS Research Ethics Pub Date : 2023-01-30 DOI:10.1177/17470161231152077
Inés Galende-Domínguez, O. Rivero-Lezcano
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引用次数: 1

Abstract

Progress in precision medicine is being achieved through the design of clinical trials that use genetic biomarkers to guide stratification of patients and assignation to treatment or control groups. Genetic analysis of biomarkers is, therefore, essential to complete their objectives, and this involves the study of biological samples from donor patients that have been recruited according to criteria previously established in the design of the clinical trial. Nevertheless, it is becoming very common that, in the solicitation of biological samples, purposes that are beyond the objectives of the stated therapeutic trial research are introduced, like the development of ill-explained exploratory studies or the use in unspecified future research. In the digital era, the sequencing of patients’ DNA needs to be considered as a serious security matter, not only for the patients, but also for their relatives. Genetic information may be easily stored, even forever, in digital files. This engenders a permanent risk of being stolen or misused in many ways. Furthermore, re-identification of sample donors is technically feasible through their genetic data. For these reasons, genetic analysis of samples collected in clinical trials should be restricted to the accomplishment of their main objectives or well justified goals.
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临床试验中采集生物样本进行遗传分析的伦理考虑
通过设计临床试验,使用遗传生物标记物来指导患者分层,并将其分配到治疗组或对照组,精密医学正在取得进展。因此,生物标志物的遗传分析对于完成其目标至关重要,这涉及到根据临床试验设计中先前建立的标准从供体患者中招募的生物样本的研究。然而,越来越普遍的是,在征求生物样本时,引入了超出所述治疗试验研究目标的目的,例如开发解释不清的探索性研究或在未指明的未来研究中使用。在数字时代,病人的DNA测序需要被视为一个严重的安全问题,不仅对病人,对他们的亲属也是如此。遗传信息可以很容易地存储,甚至永远存储在数字文件中。这就造成了在许多方面被窃取或滥用的永久风险。此外,通过样本供体的遗传数据对其进行重新鉴定在技术上是可行的。由于这些原因,在临床试验中收集的样本的遗传分析应限于完成其主要目标或充分证明的目标。
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来源期刊
Research Ethics
Research Ethics Arts and Humanities-Philosophy
CiteScore
4.30
自引率
11.80%
发文量
17
审稿时长
15 weeks
期刊最新文献
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