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GENXMAP
GENXMAP
GENXMAP
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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!

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