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Updated: Jun 26, 2026
11:15
Next Generation Sequencing for the Detection of Actionable Mutations in Solid and Liquid Tumors
Published on: September 20, 2016
[Lung cancer]
Eriko Ayabe1, Kyoichi Kaira, Nobuyuki Yamamoto
1Division of Thoracic Oncology, Shizuoka Cancer Center, Japan.
Gan to Kagaku Ryoho. Cancer & Chemotherapy
|January 20, 2009
Summary
Lung cancer biomarkers aid early detection, diagnosis, and tailored therapy selection. Current biomarkers like EGFR mutations and UGT1A1 predict treatment response, with genomic methods advancing prognostication.
Area of Science:
- Oncology
- Molecular Biology
- Pharmacogenomics
Context:
- Biomarkers are crucial for personalized medicine in lung cancer.
- Current clinical practice utilizes biomarkers for treatment selection and risk prediction.
- Advancements in genomic methods are identifying novel prognostic biomarkers.
Purpose:
- To review the role and development of biomarkers in lung cancer management.
- To highlight existing biomarkers like EGFR mutations and UGT1A1.
- To discuss the potential of novel genomic biomarkers and future needs in early detection.
Summary:
- Biomarkers are essential for lung cancer early detection, diagnosis, treatment selection, and prognostication, enabling tailored therapies.
- Epidermal growth factor receptor (EGFR) mutations predict response to tyrosine kinase inhibitors, while uridine diphosphate glucuronosyltransferase 1A1 (UGT1A1) predicts irinotecan toxicity.
- Genomic approaches are yielding new prognostic biomarkers, with significant anticipation for biomarkers aiding early detection.
Impact:
- Facilitates personalized treatment strategies for lung cancer patients.
- Improves patient outcomes through optimized therapy selection and risk assessment.
- Drives innovation in lung cancer diagnostics and therapeutic development, particularly for early-stage disease.
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