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Updated: Feb 9, 2026

Amplicon Sequencing using the Long-Read Sequencing Technologies
Published on: August 29, 2025
Current and Future Molecular Testing in NSCLC, What Can We Expect from New Sequencing Technologies?
Simon Garinet1,2, Pierre Laurent-Puig3,4, Hélène Blons5,6
1INSERM UMR-S1147, Paris Sorbonne Cite University, 75270 Paris Cedex 06, France. simon.garinet@aphp.fr.
Abstract:
Recent changes in lung cancer care, including new approvals in first line and the introduction of high-throughput molecular technologies in routine testing led us to question ourselves on how deeper molecular testing may be helpful for the optimal use of targeted drugs. In this article, we review recent results in the scope of personalized medicine in lung cancer. We discuss biomarkers that have a therapeutic predictive value in lung cancer with a focus on recent changes and on the clinical value of large scale sequencing strategies. We review the use of second- and third-generation EGFR and ALK inhibitors with a focus on secondary resistance alterations. We discuss anti-BRAF and anti-MEK combo, emerging biomarkers as NRG1 and NTRKs fusions and immunotherapy. Finally, we discuss the different technical issues of comprehensive molecular profiling and show how large screenings might refine the prediction value of individual markers. Based on a review of recent publications (2012⁻2018), we address promising approaches for the treatment of patients with lung cancers and the technical challenges associated with the identification of new predictive markers.
Insights
Deeper molecular testing in lung cancer aids targeted drug use. Comprehensive profiling identifies new predictive markers for personalized treatment strategies.
Area of Science:
- Oncology
- Genomics
- Personalized Medicine
Background:
- Lung cancer treatment has evolved with new first-line therapies and advanced molecular diagnostics.
- The integration of high-throughput molecular technologies necessitates evaluating their role in optimizing targeted drug selection.
Purpose of the Study:
- To review recent advancements in personalized lung cancer medicine.
- To assess the clinical utility of comprehensive molecular profiling and large-scale sequencing strategies.
- To discuss emerging biomarkers and challenges in identifying new predictive markers.
Main Methods:
- Review of recent publications (2012-2018) on lung cancer treatment and molecular profiling.
- Analysis of therapeutic predictive biomarkers, including EGFR and ALK inhibitors, anti-BRAF/MEK combinations, and novel fusions (NRG1, NTRKs).
- Discussion of immunotherapy and technical aspects of comprehensive molecular profiling.
Main Results:
- Second- and third-generation EGFR and ALK inhibitors are effective, with insights into secondary resistance mechanisms.
- Emerging biomarkers like NRG1 and NTRK fusions show therapeutic potential.
- Large-scale sequencing may enhance the predictive value of individual biomarkers.
Conclusions:
- Comprehensive molecular profiling is crucial for guiding personalized lung cancer treatment.
- Addressing technical challenges in molecular testing is key to identifying new predictive markers.
- Advanced molecular strategies offer promising avenues for improving patient outcomes in lung cancer.
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