Suppr超能文献

实时胰腺导管腺癌基因组分析:潜在的可操作性及其与临床表型的相关性。

Real-Time Genomic Profiling of Pancreatic Ductal Adenocarcinoma: Potential Actionability and Correlation with Clinical Phenotype.

机构信息

Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.

David M. Rubenstein Center for Pancreatic Cancer Research, Memorial Sloan Kettering Cancer Center, New York, New York.

出版信息

Clin Cancer Res. 2017 Oct 15;23(20):6094-6100. doi: 10.1158/1078-0432.CCR-17-0899. Epub 2017 Jul 28.

Abstract

Molecular profiling in cancer has identified potential actionable drug targets that have prompted attempts to discover clinically validated biomarkers to guide therapeutic decision-making and enrollment to clinical trials. We evaluated whether comprehensive genetic analysis of patients with pancreatic adenocarcinoma is feasible within a clinically relevant timeframe and whether such analyses provide predictive and/or prognostic information along with identification of potential targets for therapy. Archival or prospectively acquired FFPE samples and matched normal DNA from = 336 patients with pancreatic cancer were analyzed using a hybridization capture-based, next-generation sequencing assay designed to perform targeted deep sequencing of all exons and selected introns of 410 key cancer-associated genes. Demographic and treatment data were prospectively collected with the goal of correlating treatment outcomes and drug response with molecular profiles. The median time from protocol consent to reporting of the genomic results was 45 days with a median time from tissue delivery of 20 days. All genetic alterations identified were stratified based upon prior evidence that the mutation is a predictive biomarker of drug response using the MSKCC OncoKB classification. Three of 225 patients (1%) received a matched therapy based upon the sequencing results. The practical application of molecular results to guide individual patient treatment is currently limited in patients with pancreatic adenocarcinoma. Future prospective molecular profiling efforts should seek to incorporate routine germline genetic analysis and the identification of DNA profiles that predict for clinical benefit from agents that target DNA damage repair and or immunotherapy. .

摘要

在癌症中进行分子谱分析已经确定了潜在的可操作药物靶点,这促使人们试图发现临床验证的生物标志物,以指导治疗决策并将患者纳入临床试验。我们评估了在临床相关时间内对胰腺腺癌患者进行全面基因分析是否可行,以及此类分析是否提供预测和/或预后信息,以及确定潜在治疗靶点。对 336 名胰腺腺癌患者的存档或前瞻性获取的 FFPE 样本和匹配的正常 DNA 进行了分析,使用基于杂交捕获的下一代测序检测,旨在对 410 个关键癌症相关基因的所有外显子和选定的内含子进行靶向深度测序。前瞻性收集人口统计学和治疗数据,目的是将治疗结果和药物反应与分子谱相关联。从方案同意到报告基因组结果的中位时间为 45 天,从组织交付到报告的中位时间为 20 天。所有鉴定的遗传改变都根据先前的证据进行分层,即使用 MSKCC OncoKB 分类,该突变是药物反应的预测生物标志物。225 名患者中有 3 名(1%)根据测序结果接受了匹配的治疗。目前,在胰腺腺癌患者中,分子结果在指导个体患者治疗方面的实际应用受到限制。未来的前瞻性分子分析工作应寻求纳入常规种系基因分析,并确定预测 DNA 损伤修复和/或免疫治疗药物临床获益的 DNA 图谱。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验