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精准肿瘤学决策支持:当前方法和未来策略。

Precision Oncology Decision Support: Current Approaches and Strategies for the Future.

机构信息

Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas.

Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, Texas.

出版信息

Clin Cancer Res. 2018 Jun 15;24(12):2719-2731. doi: 10.1158/1078-0432.CCR-17-2494. Epub 2018 Feb 2.

DOI:10.1158/1078-0432.CCR-17-2494
PMID:29420224
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6004235/
Abstract

With the increasing availability of genomics, routine analysis of advanced cancers is now feasible. Treatment selection is frequently guided by the molecular characteristics of a patient's tumor, and an increasing number of trials are genomically selected. Furthermore, multiple studies have demonstrated the benefit of therapies that are chosen based upon the molecular profile of a tumor. However, the rapid evolution of genomic testing platforms and emergence of new technologies make interpreting molecular testing reports more challenging. More sophisticated precision oncology decision support services are essential. This review outlines existing tools available for health care providers and precision oncology teams and highlights strategies for optimizing decision support. Specific attention is given to the assays currently available for molecular testing, as well as considerations for interpreting alteration information. This article also discusses strategies for identifying and matching patients to clinical trials, current challenges, and proposals for future development of precision oncology decision support. .

摘要

随着基因组学的日益普及,现在可以对高级癌症进行常规分析。治疗选择通常由患者肿瘤的分子特征指导,越来越多的试验是基于基因组选择的。此外,多项研究表明,根据肿瘤的分子谱选择治疗方法是有益的。然而,基因组检测平台的快速发展和新技术的出现使得解释分子检测报告变得更加具有挑战性。更复杂的精准肿瘤决策支持服务是必不可少的。本文概述了现有的医疗服务提供者和精准肿瘤团队可用的工具,并强调了优化决策支持的策略。特别关注目前可用于分子检测的检测方法,以及解释改变信息的注意事项。本文还讨论了确定和匹配患者参加临床试验的策略、当前的挑战以及对精准肿瘤决策支持未来发展的建议。

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本文引用的文献

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Clinical Use of Precision Oncology Decision Support.精准肿瘤学决策支持的临床应用
JCO Precis Oncol. 2017;2017. doi: 10.1200/PO.17.00036. Epub 2017 Sep 13.
2
"Personalized Cancer Therapy": A Publicly Available Precision Oncology Resource.《个性化癌症治疗》:一个公开可用的精准肿瘤学资源。
Cancer Res. 2017 Nov 1;77(21):e123-e126. doi: 10.1158/0008-5472.CAN-17-0341.
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Reversion Mutations with Clinical Use of PARP Inhibitors: Many Genes, Many Versions.PARP 抑制剂临床应用中的回复突变:众多基因,众多版本。
癌症管理中的液体活检:整合诊断与临床应用。
Pract Lab Med. 2024 Dec 24;43:e00446. doi: 10.1016/j.plabm.2024.e00446. eCollection 2025 Jan.
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Utilizing Patient-Derived Xenografts to Model Precision Oncology for Biliary Tract Cancer.利用患者来源的异种移植模型来模拟胆管癌的精准肿瘤学。
Clin Cancer Res. 2025 Jan 17;31(2):387-402. doi: 10.1158/1078-0432.CCR-24-1233.
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Clinical Utility of Tumor Next-Generation Sequencing Panel Testing to Inform Treatment Decisions for Patients With Advanced Solid Tumors in a Tertiary Care Center.在一家三级保健中心,肿瘤下一代测序面板检测对指导晚期实体瘤患者治疗决策的临床应用。
JCO Precis Oncol. 2024 Jun;8:e2400092. doi: 10.1200/PO.24.00092.
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Development of an Electronic Health Record-Based Clinical Decision Support Tool for Patients With Lynch Syndrome.基于电子健康记录的林奇综合征患者临床决策支持工具的开发。
JCO Clin Cancer Inform. 2023 Aug;7:e2300024. doi: 10.1200/CCI.23.00024.
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Actionability classification of variants of unknown significance correlates with functional effect.意义未明变异的可操作性分类与功能效应相关。
NPJ Precis Oncol. 2023 Jul 15;7(1):67. doi: 10.1038/s41698-023-00420-w.
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Camonsertib in DNA damage response-deficient advanced solid tumors: phase 1 trial results.卡莫司汀在 DNA 损伤反应缺陷的晚期实体瘤中的应用:I 期临床试验结果。
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