Gene Expression

Gene expression will play a critical role in the development of Antibody-Drug Conjugate (ADC) therapies, which are the next generation of immunotherapies and hold huge potential for cancer patients. ADC’s combine the specificity of monoclonal antibodies (mab’s) with the potency of cytotoxic drugs. 

Gene expression in particular helps identify patients who would be candidates for these therapeutics.  

Several key features of Gene Expression make this an ideal tool for: 

Tumor Heterogeneity Identification – Cancer is a complex disease with multiple subtypes. Tumors within the same type of cancer can exhibit significant variability in terms of their biology, behavior, and response to treatment. Gene expression from targeted transcriptomic data is an optimal way get a precise diagnosis and characterize a tumors biology 

Evaluating the Immune response of the patient – The immune response plays a pivotal role in determining how the body recognizes, attacks, and interacts with cancer cells. Gene expression can help identify some key aspects of immune response including: 

  1. Immune recognition of cancer cells 
  1. Immune activation 
  1. Tumor microenvironment 
  1. Immune checkpoints 
  1. Immunosuppression 
  1. Cancer immunotherapy 
  1. Tumor antigens 
  1. Clinical response 
  1. Biomarkers 

Biomarker development – Our targeted transcriptomic approach is perfect for biomarker discovery and development. Our panels are flexible, and we can add new markers at any time based on client interest. 

Optimize transcriptomic data by using AI – GTC’s AI capabilities can help further characterize your biomarker, the tumor microenvironment and predict the presence of the biomarker in other cancer types. 

Don’t accept partial results! 

Whole transcriptome vs targeted transcriptomic – GTC favors a targeted transcriptomic approach focused on well characterized genes associated with oncogenesis and immune response. A whole transcriptomic approach will result in lower sensitivity and specificity as well as reduced dynamic measuring range.  

Don’t boil the ocean by doing the whole transcriptome, focus on genes relevant for oncogenesis and immune response