A narrative review of methods for the identification of ALK fusions in patients with non-small cell lung carcinoma

Translational lung cancer research(2023)

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摘要
Background and Objective: This narrative review is intended to provide pragmatic knowledge of current methods for the search of anaplastic lymphoma kinase (ALK) fusions in patients with non-small cell lung carcinoma (NSCLC). This information is very timely, because a recent survey has identified that almost 50% of patients with advanced NSCLC were not candidates for targeted therapies because of biomarker testing issues. Methods: PubMed was searched from January 1st, 2012 to February 28th, 2023 using the following keywords: "ALK" and "lung", including reviews and our own work. Key Content and Findings: Testing rates have not reached 85% among patients' candidates to ALK inhibition. The advantages and disadvantages of the different analytical options [immunohistochemistry (IHC), fluorescence in situ hybridization, real-time polymerase chain reaction and next generation sequencing (NGS)] are discussed. Results: The key factor for success in ALK testing is a deep understanding of the concept of "molecular redundancy". This notion has been recommended and endorsed by all the major professional organizations in the field and can be summarized as follows: "laboratories should ensure that test results that are unexpected, discordant, equivocal, or otherwise of low confidence are confirmed or resolved using an alternative method or sample". In-depth knowledge of the different ALK testing methodologies can help clinical and molecular tumor boards implement and maintain sensible algorithms for a rapid and effective detection of predictive biomarkers in patients with NSCLC. Conclusions: Multimodality testing has the potential to increase both the testing rate and the accuracy of ALKfusion identification.
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关键词
Anaplastic lymphoma kinase (ALK),fluorescence in situ hybridization (FISH),immunohistochemistry (IHC),next generation sequencing (NGS),non-small cell lung carcinoma (NSCLC)
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