Bayle Arnaud, Belcaid Laila, Cousin Sophie, Trin Kilian, Alame Melissa, Rouleau Etienne, Soubeyran Isabelle, Lacroix Ludovic, Blouin Laura, Vasseur Damien, Crombe Amandine, Mathoulin-Pelissier Simone, Soria Jean-Charles, Bellera Carine, Italiano Antoine
DITEP, Gustave Roussy, Villejuif, France.
Faculty of Medicine, University of Denmark, Copenhague, Denmark.
NPJ Precis Oncol. 2024 Oct 7;8(1):227. doi: 10.1038/s41698-024-00685-9.
Selecting patients for phase I cancer trials is crucial to ensure a sufficient life expectancy. Frail patients, better suited for palliative care, should not be exposed to new drugs with minimal benefit. Enrolling patients at high risk of early death can jeopardize the study. Our analysis of two large precision medicine studies used tumor fraction from ctDNA to develop a predictive model, demonstrating notable predictive accuracy and aiding in patient selection.
为一期癌症试验选择患者对于确保足够的预期寿命至关重要。体弱的患者更适合接受姑息治疗,不应接触益处极小的新药。招募早期死亡风险高的患者可能会危及研究。我们对两项大型精准医学研究的分析使用了来自ctDNA的肿瘤分数来开发预测模型,显示出显著的预测准确性并有助于患者选择。