4.6 Review

Precision medicine in non-small cell lung cancer: Current applications and future directions

Journal

SEMINARS IN CANCER BIOLOGY
Volume 84, Issue -, Pages 184-198

Publisher

ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.semcancer.2020.07.009

Keywords

Lung cancer diagnostics; Histological and molecular diagnostics; Liquid biopsy; Tumor mutational burden; Resistance to EGFR-TKIs

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Advances in biomarkers, targeted therapies, and immuno-oncology have transformed the clinical management of patients with advanced NSCLC. The development of targeted therapies for specific genomic alterations and the emergence of immune-checkpoint therapy have revolutionized treatment options for these patients. However, identification of predictive biomarkers for immune-checkpoint inhibition remains a challenging area of research. The use of biomarkers and alternative genotyping methods has become increasingly integrated into clinical practice.
Advances in biomarkers, targeted therapies, and immuno-oncology have transformed the clinical management of patients with advanced NSCLC. For oncogene-driven tumors, there are highly effective targeted therapies against EGFR, ALK, ROS1, BRAF, TRK, RET, and MET. In addition, investigational therapies for KRAS, NRG1, and HER2 have shown promising results and may become standard-of-care in the near future. In parallel, immune -checkpoint therapy has emerged as an indispensable treatment modality, especially for patients lacking actionable oncogenic drivers. While PD-L1 expression has shown modest predictive utility, biomarkers for immune-checkpoint inhibition in NSCLC have remained elusive and represent an area of active investigation. Given the growing importance of biomarkers, optimal utilization of small tissue biopsies and alternative geno-typing methods using circulating cell-free DNA have become increasingly integrated into clinical practice. In this review, we will summarize the current landscape and emerging trends in precision medicine for patients with advanced NSCLC with a special focus on predictive biomarker testing.

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