Article Text

Download PDFPDF

Gene expression profile of CD8 T cells from the responder and non-responder mice following immunotherapy treatment for prostate cancer
  1. Seema Dubey1,
  2. Sumedha Gunewardena2,
  3. Peter Van Veldhuizen3,
  4. J Brantley Thrasher1 and
  5. Dev Karan1
  1. Aff1 grid.412016.00000000121776375UrologyThe University of Kansas Medical Center Kansas City KS USA
  2. Aff2 grid.412016.00000000121776375Molecular and Integrative PhysiologyThe University of Kansas Medical Center Kansas City KS USA
  3. Aff3 grid.412016.00000000121776375Internal MedicineThe University of Kansas Medical Center Kansas City KS USA

Statistics from

Request Permissions

If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.

Meeting abstracts

Immunotherapy represents a novel treatment approach for cancer; however, a longer maturation time and the lack of immunological markers are major obstacles in the development and characterization of immunological therapies. This study aims to identify gene expression profile on CD8+ T cells between the responder (completely regressed tumors) and non-responder (progressively growing tumors) groups of mice helpful in predicting the outcome of immunotherapy treatment. Using a preclinical mouse model for prostate cancer, subcutaneous tumors were established and the mice were treated with Ad-PSA+PSCA bivalent vaccine. Splenic CD8+ T cells purified from the responder and non-responder groups of mice were subjected to Affymetrix microarray to obtain gene expression profile. Pooling the data sets from two independent experiments revealed an up-regulation of 85 genes (>2.0 fold; p =2.7e-63) and down-regulation of 1768 gene (>2.0 fold; p =1.0e-63) in CD8+ T cells from the non-responder mice. Gene network analysis showed a coordinated expression of genes implicated in cell-mediated immune response, cell-to-cell signaling and interaction, and immune cell trafficking. The mRNA expression levels for the selected transcripts were verified using semi-quantitative RT-PCR method suggesting a panel of genes specific to CD8+ T cells differentially expressed between the responder and non-responder mice. Further studies are warranted to determine the potential of these identified genes as immunological biomarker to predict immunotherapy response.