Lung Cancer
Transcriptomic Biomarkers Analysis
Transcriptomic Biomarker Analysis – Lung Cancer
Lung cancer is a complex disease requiring in-depth molecular characterization for personalized treatment. Gene expression analysis helps identify key biomarkers essential for diagnosis, therapeutic monitoring, and predicting treatment response.
Genes Analyzed in Lung Cancer
Our panel targets clinically and therapeutically relevant markers, including:
✔ EGFR – Mutation predictive of response to tyrosine kinase inhibitors (TKIs)
✔ KRAS – Key marker in non-small cell lung carcinoma (NSCLC)
✔ ALK & ROS1 – Rearrangements associated with targeted therapies
✔ TP53 – Frequently mutated gene affecting tumor progression
✔ MET – Involved in treatment resistance
Applications & Benefits
Patient stratification for precision medicine
Early detection of molecular alterations
Tumor evolution monitoring and treatment adaptation
Identification of patients eligible for targeted therapies and immunotherapies
Technologies Used
We utilize cutting-edge approaches for reliable and reproducible analysis:
qPCR and digital RT-PCR for precise quantification
RNA-seq (NGS) for comprehensive transcriptomic profiling
Nanostring and microarrays for high-throughput analysis
Contact us at contact@genxmap.com for a personalized analysis tailored to your clinical or research project!