Suppr超能文献

基于正电子发射断层扫描(PET)成像的表型分析作为非小细胞肺癌中酪氨酸激酶抑制剂治疗反应的预测生物标志物:我们做到了吗?

PET Imaging-Based Phenotyping as a Predictive Biomarker of Response to Tyrosine Kinase Inhibitor Therapy in Non-small Cell Lung Cancer: Are We There Yet?

作者信息

Gerbaudo Victor H, Kim Chun K

机构信息

Division of Nuclear Medicine and Molecular Imaging, Department of Radiology, Brigham and Women's Hospital and Harvard Medical School, 75 Francis Street, Boston, MA 02492 USA.

出版信息

Nucl Med Mol Imaging. 2017 Mar;51(1):3-10. doi: 10.1007/s13139-016-0453-6. Epub 2016 Oct 11.

Abstract

The increased understanding of the molecular pathology of different malignancies, especially lung cancer, has directed investigational efforts to center on the identification of different molecular targets and on the development of targeted therapies against these targets. A good representative is the epidermal growth factor receptor (EGFR); a major driver of non-small cell lung cancer tumorigenesis. Today, tumor growth inhibition is possible after treating lung tumors expressing somatic mutations of the EGFR gene with tyrosine kinase inhibitors (TKI). This opened the doors to biomarker-directed precision or personalized treatments for lung cancer patients. The success of these targeted anticancer therapies depends in part on being able to identify biomarkers and their patho-molecular make-up in order to select patients that could respond to specific therapeutic agents. While the identification of reliable biomarkers is crucial to predict response to treatment before it begins, it is also essential to be able to monitor treatment early during therapy to avoid the toxicity and morbidity of futile treatment in non-responding patients. In this context, we share our perspective on the role of PET imaging-based phenotyping in the personalized care of lung cancer patients to non-invasively direct and monitor the treatment efficacy of TKIs in clinical practice.

摘要

对不同恶性肿瘤,尤其是肺癌分子病理学认识的不断加深,已将研究工作导向聚焦于识别不同分子靶点以及开发针对这些靶点的靶向治疗。一个很好的代表是表皮生长因子受体(EGFR),它是非小细胞肺癌肿瘤发生的主要驱动因素。如今,用酪氨酸激酶抑制剂(TKI)治疗表达EGFR基因体细胞突变的肺肿瘤后,抑制肿瘤生长成为可能。这为肺癌患者基于生物标志物的精准或个性化治疗打开了大门。这些靶向抗癌疗法的成功部分取决于能否识别生物标志物及其病理分子构成,以便选择可能对特定治疗药物有反应的患者。虽然识别可靠的生物标志物对于在治疗开始前预测治疗反应至关重要,但在治疗早期能够监测治疗情况,以避免对无反应患者进行无效治疗所带来的毒性和发病率,也同样重要。在此背景下,我们就基于PET成像的表型分析在肺癌患者个性化治疗中的作用分享我们的观点,以在临床实践中无创地指导和监测TKI的治疗效果。

相似文献

3
Clinical impact of switching to a second EGFR-TKI after a severe AE related to a first EGFR-TKI in EGFR-mutated NSCLC.
Jpn J Clin Oncol. 2012 Jun;42(6):528-33. doi: 10.1093/jjco/hys042. Epub 2012 Mar 28.
4
Management of advanced non-small cell lung cancers with known mutations or rearrangements: latest evidence and treatment approaches.
Ther Adv Respir Dis. 2016 Apr;10(2):113-29. doi: 10.1177/1753465815617871. Epub 2015 Nov 30.
7
Update of epidermal growth factor receptor-tyrosine kinase inhibitors in non-small-cell lung cancer.
J Chin Med Assoc. 2013 May;76(5):249-57. doi: 10.1016/j.jcma.2013.01.010. Epub 2013 Mar 22.
9
Acquired resistance to EGFR targeted therapy in non-small cell lung cancer: Mechanisms and therapeutic strategies.
Cancer Treat Rev. 2018 Apr;65:1-10. doi: 10.1016/j.ctrv.2018.02.006. Epub 2018 Feb 20.

引用本文的文献

本文引用的文献

3
Effects of erlotinib therapy on [(11)C]erlotinib uptake in EGFR mutated, advanced NSCLC.
EJNMMI Res. 2016 Dec;6(1):10. doi: 10.1186/s13550-016-0169-8. Epub 2016 Feb 9.
9
Role of [¹⁸F]FDG PET in prediction of KRAS and EGFR mutation status in patients with advanced non-small-cell lung cancer.
Eur J Nucl Med Mol Imaging. 2014 Nov;41(11):2058-65. doi: 10.1007/s00259-014-2833-4. Epub 2014 Jul 3.
10
Correlation between (18)f-fluorodeoxyglucose uptake and epidermal growth factor receptor mutations in advanced lung cancer.
Nucl Med Mol Imaging. 2012 Sep;46(3):169-75. doi: 10.1007/s13139-012-0142-z. Epub 2012 Jun 7.

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