Rapidly changing treatment algorithms for metastatic nonsquamous non-small-cell lung cancer

Current oncology

B. Melosky¹ 

[1] BC Cancer–Vancouver Centre

关键词: Metastatic nonsquamous nsclc;    algorithms;    chemotherapy;    targeted therapy;    EGFR;    ALK;    immunotherapy;   

DOI  :  10.3747/co.25.3839

学科分类：肿瘤学

来源: Multimed, Inc.

【 摘 要 】

BackgroundThe treatment paradigm for metastatic nonsquamous non-small-cell lung cancer (nsclc) continues to change. Algorithms published only 6 months ago are outdated today and are dramatically different from those published a few years ago. New driver mutations continue to be identified, and the development of therapies to inhibit oncogenic addiction is ongoing. Patient survival is improving as treatments become more personalized and effective. MethodsThis review looks at the outcomes of recent trials and discusses treatment options for patients with metastatic nsclc of nonsquamous histology. Algorithms continue to change quickly, and an attempt is made to keep the paradigm current and applicable into the near future. ResultsTreatment algorithms for nsclc tumours withEGFRmutations,ALKrearrangements, andROS1rearrangements, and for wild-type tumours are presented. A future algorithm based on new immunotherapy data is proposed. ConclusionsThe treatment algorithm forEGFRmutation is changing with the proven efficacy of osimertinib for the acquired T790M mutation. All patients taking first- or second-generation epidermal growth factor receptor tyrosine kinase inhibitors must be tested. The treatment algorithm forALKrearrangement has changed with the proven superiority of alectinib compared with crizotinib in the first-line setting. The approval of crizotinib forROS1rearrangements now means that patients also must be tested for that mutation. The biomarker for checkpoint inhibitors continues to be PD-L1 by immunohistochemistry stain, but whether testing will be necessary for patient selection if chemotherapy combinations are implemented will be determined soon.

【 授权许可】

Unknown