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!