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精准癌症医学的成本效益——当前在使用下一代测序进行全面肿瘤基因组分析方面面临的挑战以及临床效用框架的作用(综述)

Cost-effectiveness of precision cancer medicine-current challenges in the use of next generation sequencing for comprehensive tumour genomic profiling and the role of clinical utility frameworks (Review).

作者信息

Christofyllakis Konstantinos, Bittenbring Joerg Thomas, Thurner Lorenz, Ahlgrimm Manfred, Stilgenbauer Stephan, Bewarder Moritz, Kaddu-Mulindwa Dominic

机构信息

Department of Hematology, Oncology, Clinical Immunology and Rheumatology, Saarland University Medical Center, D-66421 Homburg, Germany.

Ulm Comprehensive Cancer Center, Ulm University Hospital, D-89081 Ulm, Germany.

出版信息

Mol Clin Oncol. 2022 Jan;16(1):21. doi: 10.3892/mco.2021.2453. Epub 2021 Nov 25.

Abstract

Precision cancer medicine (PCM) is an emerging paradigm in oncology, which includes tumour comprehensive genomic profiling (CGP) to enable molecularly guided therapy. However, cost-effectiveness analyses of PCM are faced with several challenges and, thus, its cost-effectiveness remains unclear. Early trials using only molecularly guided therapy were faced with the challenge of providing adequate measures of outcome, which probably explains the modest treatment benefits demonstrated. Endpoints like the progression-free survival (PFS)2/PFS1 ratio may assist in overcoming this issue. Moreover, specific tumour subtypes appear to benefit more from PCM. Costs associated with next-generation sequencing (NGS) for CGP are decreasing, but targeted therapy itself represents a major cost driver. CGP not only enables prediction of response to treatment, but also resistance, and could thus prevent administration of unnecessary (and costly) therapies. In clinical practice, the presence of clinical frameworks, such as the Recommendations for the Use of NGS for Patients with Metastatic Cancers from the ESMO Precision Medicine Working Group, and the ESMO Scale for Clinical Actionability of Molecular Targets, are essential in appropriately identifying situations where PCM is clinically meaningful, thereby improving its cost-effectiveness.

摘要

精准癌症医学(PCM)是肿瘤学中一种新兴的模式,其中包括肿瘤综合基因组分析(CGP)以实现分子导向治疗。然而,PCM的成本效益分析面临若干挑战,因此其成本效益仍不明确。仅使用分子导向治疗的早期试验面临着提供充分结局指标的挑战,这可能解释了所显示的适度治疗益处。无进展生存期(PFS)2/PFS1比值等终点可能有助于克服这一问题。此外,特定肿瘤亚型似乎从PCM中获益更多。用于CGP的下一代测序(NGS)相关成本正在下降,但靶向治疗本身是一个主要的成本驱动因素。CGP不仅能够预测治疗反应,还能预测耐药性,因此可以避免给予不必要(且昂贵)的治疗。在临床实践中,临床框架的存在,如欧洲肿瘤内科学会(ESMO)精准医学工作组针对转移性癌症患者使用NGS的建议以及ESMO分子靶点临床可操作性量表,对于恰当识别PCM具有临床意义的情况至关重要,从而提高其成本效益。

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