液体活检-一个关键的测试,以帮助导航临床决策在印度的精密中心!

Sewanti Limaye , Aditya Shreenivas , Darshana Patil , Janani Sambath , Irene A. George , Anjali Parab , Aakriti Datta , Punita Jain , Shambhavi Singh , Chetan Madre , Pritam Kataria , Darshit Shah , Niyati Shah , Ruturaj Deshpande , Rajan Datar , Prashant Kumar
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引用次数: 0

摘要

液体活检,特别是循环肿瘤DNA (ctDNA)分析,已经成为精确肿瘤学的变革性工具,提供实时、微创的肿瘤特征和肿瘤动力学。虽然组织活检是恶性肿瘤基线诊断的关键工具,但它通常受到采样限制和无法捕获肿瘤异质性的限制。在这项研究中,我们探讨了序列ctDNA检测在指导30例不同实体肿瘤患者治疗决策中的临床应用。我们的现实世界分析表明,ctDNA分析对治疗升级、降级、疾病监测和早期复发预测有意义。ctDNA阳性表明残留疾病最小的病例提示及时升级治疗,而ctDNA清除允许安全治疗去强化,在不影响结果的情况下最小化毒性。纵向ctDNA监测提供了一种动态的、无创的方法来评估治疗效果,并在放射进展前几个月检测复发。我们的研究强调了将液体活检纳入常规临床实践的潜力,可以实现动态治疗监测,早期发现治疗耐药性,以及针对各种癌症类型做出更明智、更个性化的决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Liquid biopsy- A pivotal test to help navigate clinical decisions at a precision center in India!
Liquid biopsy, specifically circulating tumor DNA (ctDNA) analysis, has emerged as a transformative tool in precision oncology, providing real-time, minimally invasive characterizations of the tumor and tumor dynamics. While tissue biopsy is a critical tool for baseline diagnosis of malignancy, it is often limited by sampling constraints and an inability to capture tumor heterogeneity. In this study, we explored the clinical utility of serial ctDNA testing in guiding therapeutic decisions across a cohort of 30 patients with diverse solid tumors. Our real-world analysis demonstrates that ctDNA profiling meaningfully influenced treatment escalation, de-escalation, disease monitoring, and early relapse prediction. Cases where ctDNA positivity indicated minimal residual disease prompted timely escalation of therapy, while ctDNA clearance allowed safe treatment de-intensification, minimizing toxicity without compromising outcomes. Longitudinal ctDNA monitoring provided a dynamic, non-invasive method for assessing treatment response and detecting recurrence months before radiological progression. Our study highlights the potential of integrating liquid biopsy into routine clinical practice to enable dynamic treatment monitoring, early detection of therapeutic resistance, and more informed, personalized decision-making across various cancer types.
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