St Columba's Hospice, Edinburgh, UK.
Edinburgh Cancer Research Centre, University of Edinburgh, Edinburgh, UK.
J Cachexia Sarcopenia Muscle. 2024 Jun;15(3):853-867. doi: 10.1002/jcsm.13491. Epub 2024 May 23.
Regulatory agencies require evidence that endpoints correlate with clinical benefit before they can be used to approve drugs. Biomarkers are often considered surrogate endpoints. In cancer cachexia trials, the measurement of biomarkers features frequently. The aim of this systematic review was to assess the frequency and diversity of biomarker endpoints in cancer cachexia trials. A comprehensive electronic literature search of MEDLINE, Embase and Cochrane (1990-2023) was completed. Eligible trials met the following criteria: adults (≥18 years), prospective design, more than 40 participants, use of a cachexia intervention for more than 14 days and use of a biomarker(s) as an endpoint. Biomarkers were defined as any objective measure that was assayed from a body fluid, including scoring systems based on these assays. Routine haematology and biochemistry to monitor intervention toxicity were not considered. Data extraction was performed using Covidence, and reporting followed PRISMA guidance (PROSPERO: CRD42022276710). A total of 5975 studies were assessed, of which 52 trials (total participants = 6522) included biomarkers as endpoints. Most studies (n = 29, 55.7%) included a variety of cancer types. Pharmacological interventions (n = 27, 51.9%) were most evaluated, followed by nutritional interventions (n = 20, 38.4%). Ninety-nine different biomarkers were used across the trials, and of these, 96 were assayed from blood. Albumin (n = 29, 55.8%) was assessed most often, followed by C-reactive protein (n = 22, 42.3%), interleukin-6 (n = 16, 30.8%) and tumour necrosis factor-α (n = 14, 26.9%), the latter being the only biomarker that was used to guide sample size calculations. Biomarkers were explicitly listed as a primary outcome in six trials. In total, 12 biomarkers (12.1% of 99) were used in six trials or more. Insulin-like growth factor binding protein 3 (IGFBP-3) and insulin-like growth factor 1 (IGF-1) levels both increased significantly in all three trials in which they were both used. This corresponded with a primary outcome, lean body mass, and was related to the pharmacological mechanism. Biomarkers were predominately used as exploratory rather than primary endpoints. The most commonly used biomarker, albumin, was limited by its lack of responsiveness to nutritional intervention. For a biomarker to be responsive to change, it must be related to the mechanism of action of the intervention and/or the underlying cachexia process that is modified by the intervention, as seen with IGFBP-3, IGF-1 and anamorelin. To reach regulatory approval as an endpoint, the relationship between the biomarker and clinical benefit must be clarified.
监管机构要求在将终点与临床获益相关联的证据用于批准药物之前,必须证明其相关性。生物标志物通常被视为替代终点。在癌症恶病质试验中,经常测量生物标志物特征。本系统评价的目的是评估癌症恶病质试验中生物标志物终点的频率和多样性。对 MEDLINE、Embase 和 Cochrane(1990-2023 年)进行了全面的电子文献检索。合格的试验符合以下标准:成年人(≥18 岁)、前瞻性设计、超过 40 名参与者、使用恶病质干预措施超过 14 天以及使用生物标志物(多个)作为终点。生物标志物被定义为从体液中测定的任何客观测量值,包括基于这些测定值的评分系统。常规血液学和生物化学监测干预毒性不被认为是必要的。使用 Covidence 进行数据提取,报告遵循 PRISMA 指南(PROSPERO:CRD42022276710)。共评估了 5975 项研究,其中 52 项试验(总参与者=6522 人)将生物标志物作为终点。大多数研究(n=29,55.7%)包括多种癌症类型。最评估的是药物干预(n=27,51.9%),其次是营养干预(n=20,38.4%)。99 种不同的生物标志物在试验中被使用,其中 96 种是从血液中测定的。白蛋白(n=29,55.8%)的评估最为常见,其次是 C 反应蛋白(n=22,42.3%)、白细胞介素 6(n=16,30.8%)和肿瘤坏死因子-α(n=14,26.9%),后者是唯一用于指导样本量计算的生物标志物。有 6 项试验明确将生物标志物列为主要结局。共有 12 种生物标志物(99 种中的 12.1%)在 6 项或更多的试验中使用。胰岛素样生长因子结合蛋白 3(IGFBP-3)和胰岛素样生长因子 1(IGF-1)水平在所有三项均使用它们的试验中均显著升高。这与主要结局(瘦体重)相对应,与药物作用机制相关。生物标志物主要被用作探索性而非主要终点。最常用的生物标志物白蛋白因其对营养干预缺乏反应性而受到限制。为了使生物标志物对变化有反应,它必须与干预措施的作用机制相关,或者与干预措施所改变的潜在恶病质过程相关,如 IGFBP-3、IGF-1 和 anamorelin 所示。要将生物标志物作为终点获得监管批准,必须明确生物标志物与临床获益之间的关系。