Comparative Analysis of Proteomic and Transcriptomic Profiles of a Panel of Gastric Carcinoma PDXs
Binchen Mao, Sheng Guo, Bonnie Chen, Davy Ouyang, Henry Q. Li
Patient-derived xenografts (PDX) are a predictive preclinical model for translational oncology research. To maximize their full potential including for biomarker discovery, comprehensive genomic, proteomic, and pathological annotation of baseline and treated PDX models is needed.
This poster presents a comparison of genomic and proteomic profiles for a panel of gastric cancer PDX. These models have previously been used to determine biomarkers predictive of cetuximab response in gastric cancer.
Read this Poster to Discover:
- How transcriptome and proteomics data are integrated to yield more informative and reliable biomarkers
- That correlations between mRNA expression and protein expression are moderate and consistent among 48 gastric cancer PDX models
- The identification of gene sets with high RNA/protein expression and low RNA/high protein expression and where they are enriched