@article{ETD, recid = {7867}, author = {Feng, Zipei}, title = {Multiparametric analysis of tumor immune environment}, publisher = {Oregon Health and Science University}, school = {M.S.}, address = {2016-09-01}, number = {ETD}, abstract = {The inability to develop an effective anti-tumor immune response plays a key role in cancer progression. Patients with a strong anti-tumor T cell response, indicated by increased T cell densities, generally have better prognoses and respond more effectively to treatments. While traditional single-color immunohistochemistry can stratify patients based on CD3 and CD8 T cell infiltrate, it overlooks important suppressive mechanisms in the tumor microenvironment. We have developed a technique to study multiple parameters simultaneously in humans and mice. This approach shows that the interactions among various immune populations are more effective prognostic indicators than CD8 T cell density alone. Additionally, integrating this tool with clinical trials, as outlined in the appendices, could enhance our understanding of treatment mechanisms and aid in developing predictive biomarkers for more targeted therapies.}, url = {http://digitalcollections.ohsu.edu/record/7867}, doi = {https://doi.org/10.6083/ff3655991}, }