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Updated: Jun 13, 2026

Ultra-Fast Amplicon-Based Next-Generation Sequencing in Non-Squamous Non-Small Cell Lung Cancer
Published on: September 8, 2023
Impact of biomarkers on non-small cell lung cancer treatment
Luca Toschi1, Federico Cappuzzo
1Dana-Farber Cancer Institute, Boston, MA 02215, USA. luca_toschi@dfci.harvard.edu
Abstract:
Chemotherapy represents the mainstay of non-small cell lung cancer (NSCLC) treatment, but response is usually observed in only one out of three patients. Massive efforts have been carried out to identify biomarkers that might help clinicians to choose appropriate drugs, by identifying potentially sensitive subjects and spare toxicities in patients who are unlikely to benefit from treatment. Low excision repair cross-complementation group 1 (ERCC1) and ribonucleotide reductase M1 (RRM1) levels have been associated with increased sensitivity to cisplatin and gemcitabine, respectively, while reduced class III beta-tubulin expression has been associated with taxane activity. Initial prospective studies showed the feasibility of a customized approach based on biomarker assessment, and phase III trials will hopefully provide further validation of this approach. The impact of biomarkers for patient selection has now been well established for tyrosine kinase inhibitors (TKIs) of the epidermal growth factor receptor (EGFR), with EGFR mutations emerging as the most reliable predictor for improved outcome. Relevant clinical issues are represented by the identification of patients who can be reasonably excluded from treatment and by the development of therapeutic approaches able to overcome acquired resistance to anti-EGFR strategies.
Insights
Biomarkers improve non-small cell lung cancer (NSCLC) treatment selection. Identifying patients likely to respond to chemotherapy or tyrosine kinase inhibitors (TKIs) optimizes outcomes and reduces toxicity.
Area of Science:
- Oncology
- Molecular Biology
- Genetics
Background:
- Chemotherapy is a primary non-small cell lung cancer (NSCLC) treatment, but only one-third of patients respond.
- Identifying predictive biomarkers is crucial for personalized NSCLC therapy, improving efficacy and minimizing toxicity.
Purpose of the Study:
- To review the role of biomarkers in predicting response to chemotherapy and targeted therapies in NSCLC.
- To highlight the clinical utility of biomarkers for patient selection and overcoming treatment resistance.
Main Methods:
- Literature review of studies investigating biomarkers in NSCLC treatment.
- Analysis of biomarker associations with chemotherapy agents (cisplatin, gemcitabine, taxanes) and targeted therapies (EGFR TKIs).
Main Results:
- Low ERCC1/RRM1 levels correlate with cisplatin/gemcitabine sensitivity.
- Reduced beta-tubulin expression predicts taxane response.
- EGFR mutations are strong predictors of response to EGFR TKIs.
Conclusions:
- Biomarker-guided therapy improves NSCLC treatment selection and patient outcomes.
- Further validation through Phase III trials is ongoing.
- Identifying non-responders and overcoming resistance to targeted therapies remain key clinical challenges.