Suppr超能文献

新兴的非小细胞肺癌治疗靶点药物。

Emerging Targeted Therapies for the Treatment of Non-small Cell Lung Cancer.

机构信息

Department of Medicine, Division of Hematology and Oncology, University of California, San Francisco, San Francisco, CA, USA.

Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, 600 16th Street, N212D, San Francisco, CA, 94158, USA.

出版信息

Curr Oncol Rep. 2019 Feb 26;21(3):21. doi: 10.1007/s11912-019-0770-x.

Abstract

PURPOSE OF REVIEW

Lung cancer remains the leading cause of cancer-related mortality worldwide. Genetic and molecular profiling of non-small cell lung cancer (NSCLC) has led to the discovery of actionable oncogenic driver alterations, which has revolutionized treatment for this disease. This review will move beyond traditional mutational drivers such as EGFR and ALK and will instead focus on emerging targets and the efficacy of new precision therapies.

RECENT FINDINGS

Here, we discuss both established and emerging targeted therapy approaches, as well as ongoing challenges for the treatment of NSCLC patients harboring oncogenic alterations of the following types-gene fusions (ROS1, RET, NTRK), receptor tyrosine kinases (MET amplification and exon 14 mutations and EGFR/HER2 exon 20 insertion mutations), and MAPK signaling (SHP2 and altered BRAF and NF1). The treatment of lung cancer is increasingly biomarker-driven, as patients are selected for targeted agents based on the identification of genetic alterations amenable to inhibition. Our ability to further improve patient outcomes with this precision medicine approach will require continued efforts to identify, characterize, and target lesions driving lung cancer tumorigenesis and progression.

摘要

目的综述

肺癌仍然是全球癌症相关死亡的主要原因。对非小细胞肺癌(NSCLC)的遗传和分子分析发现了可治疗的致癌驱动改变,这彻底改变了这种疾病的治疗方法。本综述将超越传统的突变驱动因素,如 EGFR 和 ALK,并将重点介绍新兴的靶点和新的精准治疗的疗效。

最近的发现

在这里,我们讨论了已确立和新兴的靶向治疗方法,以及针对以下类型的致癌改变的 NSCLC 患者的治疗的持续挑战-基因融合(ROS1、RET、NTRK)、受体酪氨酸激酶(MET 扩增和外显子 14 突变和 EGFR/HER2 外显子 20 插入突变)和 MAPK 信号通路(SHP2 和改变的 BRAF 和 NF1)。由于可以根据可抑制的遗传改变来选择靶向药物,因此肺癌的治疗越来越依赖生物标志物。我们需要继续努力识别、表征和靶向驱动肺癌肿瘤发生和进展的病变,才能通过这种精准医学方法进一步提高患者的治疗效果。

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