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Published on: May 20, 2020
ALK in Non-Small Cell Lung Cancer (NSCLC) Pathobiology, Epidemiology, Detection from Tumor Tissue and Algorithm
Paul Hofman1,2,3
1Laboratory of Clinical and Experimental Pathology, Pasteur Hospital, 30 avenue de la voie romaine, 06001 Nice cedex 01, France. hofman.p@chu-nice.fr.
Abstract:
Patients with advanced-stage non-small cell lung carcinoma (NSCLC) harboring an ALK rearrangement, detected from a tissue sample, can benefit from targeted ALK inhibitor treatment. Several increasingly effective ALK inhibitors are now available for treatment of patients. However, despite an initial favorable response to treatment, in most cases relapse or progression occurs due to resistance mechanisms mainly caused by mutations in the tyrosine kinase domain of ALK. The detection of an ALK rearrangement is pivotal and can be done using different methods, which have variable sensitivity and specificity depending, in particular, on the quality and quantity of the patient's sample. This review will first highlight briefly some information regarding the pathobiology of an ALK rearrangement and the epidemiology of patients harboring this genomic alteration. The different methods used to detect an ALK rearrangement as well as their advantages and disadvantages will then be examined and algorithms proposed for detection in daily routine practice.
Insights
Detecting ALK rearrangements is crucial for treating non-small cell lung cancer (NSCLC) with targeted therapies. This review examines detection methods to overcome resistance and improve patient outcomes.
Area of Science:
- Oncology
- Genomics
- Pharmacology
Background:
- Advanced non-small cell lung carcinoma (NSCLC) patients with ALK rearrangements benefit from ALK inhibitors.
- Acquired resistance to ALK inhibitors, often due to ALK mutations, leads to disease progression.
- Accurate detection of ALK rearrangements is essential for guiding treatment decisions.
Purpose of the Study:
- To review the pathobiology and epidemiology of ALK rearrangements in NSCLC.
- To examine various methods for detecting ALK rearrangements, including their pros and cons.
- To propose algorithms for routine ALK rearrangement detection in clinical practice.
Main Methods:
- Literature review of ALK rearrangement detection methods in NSCLC.
- Analysis of sensitivity, specificity, and practical considerations for each detection technique.
- Synthesis of information to develop practical detection algorithms.
Main Results:
- ALK rearrangements are a key driver in a subset of NSCLC patients.
- Multiple detection methods exist, each with varying performance characteristics.
- Sample quality and quantity significantly impact detection accuracy.
Conclusions:
- Effective detection of ALK rearrangements is critical for successful targeted therapy in NSCLC.
- Understanding the limitations of detection methods is vital for accurate diagnosis.
- Standardized detection algorithms can optimize patient management and treatment selection.
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