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《个性化癌症治疗》:一个公开可用的精准肿瘤学资源。

"Personalized Cancer Therapy": A Publicly Available Precision Oncology Resource.

作者信息

Kurnit Katherine C, Bailey Ann M, Zeng Jia, Johnson Amber M, Shufean Md Abu, Brusco Lauren, Litzenburger Beate C, Sánchez Nora S, Khotskaya Yekaterina B, Holla Vijaykumar, Simpson Amy, Mills Gordon B, Mendelsohn John, Bernstam Elmer, Shaw Kenna, Meric-Bernstam Funda

机构信息

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

Sheikh Khalifa Bin Zayed Al Nahyan Institute for Personalized Cancer Therapy, The University of Texas MD Anderson Cancer Center, Houston, Texas.

出版信息

Cancer Res. 2017 Nov 1;77(21):e123-e126. doi: 10.1158/0008-5472.CAN-17-0341.

DOI:10.1158/0008-5472.CAN-17-0341
PMID:29092956
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5774617/
Abstract

High-throughput genomic and molecular profiling of tumors is emerging as an important clinical approach. Molecular profiling is increasingly being used to guide cancer patient care, especially in advanced and incurable cancers. However, navigating the scientific literature to make evidence-based clinical decisions based on molecular profiling results is overwhelming for many oncology clinicians and researchers. The Personalized Cancer Therapy website (www.personalizedcancertherapy.org) was created to provide an online resource for clinicians and researchers to facilitate navigation of available data. Specifically, this resource can be used to help identify potential therapy options for patients harboring oncogenic genomic alterations. Herein, we describe how content on www.personalizedcancertherapy.org is generated and maintained. We end with case scenarios to illustrate the clinical utility of the website. The goal of this publicly available resource is to provide easily accessible information to a broad oncology audience, as this may help ease the information retrieval burden facing participants in the precision oncology field. .

摘要

肿瘤的高通量基因组和分子剖析正成为一种重要的临床方法。分子剖析越来越多地被用于指导癌症患者的治疗,尤其是在晚期和无法治愈的癌症中。然而,对于许多肿瘤临床医生和研究人员来说,在科学文献中查找基于分子剖析结果做出循证临床决策的依据是一项艰巨的任务。个性化癌症治疗网站(www.personalizedcancertherapy.org)的创建是为临床医生和研究人员提供一个在线资源,以方便他们浏览现有数据。具体而言,该资源可用于帮助为携带致癌基因组改变的患者确定潜在的治疗方案。在此,我们描述了www.personalizedcancertherapy.org上的内容是如何生成和维护的。我们以案例场景结束,以说明该网站的临床实用性。这个公开可用资源的目标是为广大肿瘤学界提供易于获取的信息,因为这可能有助于减轻精准肿瘤学领域参与者面临的信息检索负担。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fc5/5774617/46524f7e4aa5/nihms899841f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fc5/5774617/46524f7e4aa5/nihms899841f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fc5/5774617/46524f7e4aa5/nihms899841f1.jpg

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本文引用的文献

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UniProt: the universal protein knowledgebase.通用蛋白质知识库:UniProt
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Automated identification of molecular effects of drugs (AIMED).药物分子效应的自动识别(AIMED)
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ClinVar: public archive of interpretations of clinically relevant variants.ClinVar:临床相关变异解读的公共存档库。
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Cell Biol Toxicol. 2024 Jul 29;40(1):61. doi: 10.1007/s10565-024-09907-z.
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Two-stage stratified designs with survival outcomes and adjustment for misclassification in predictive biomarkers.具有生存结局和预测生物标志物分类错误调整的两阶段分层设计。
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PredictONCO: a web tool supporting decision-making in precision oncology by extending the bioinformatics predictions with advanced computing and machine learning.PredictONCO:一个通过扩展生物信息学预测并结合先进计算和机器学习来支持精准肿瘤学决策的网络工具。
Brief Bioinform. 2023 Nov 22;25(1). doi: 10.1093/bib/bbad441.
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Molecular tumour boards - current and future considerations for precision oncology.分子肿瘤委员会——精准肿瘤学的当前和未来考量。
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Application of third-generation sequencing in cancer research.第三代测序技术在癌症研究中的应用。
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