TY - THES AB - 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. AD - Oregon Health and Science University AU - Feng, Zipei DA - 2016-09-01 DO - 10.6083/ff3655991 DO - DOI ED - Fox, Bernard ED - Advisor ID - 7867 KW - Immune System KW - Melanoma KW - Cell Count KW - Biomarkers KW - CD8-Positive T-Lymphocytes KW - Prognosis KW - Immunohistochemistry KW - Tumor Microenvironment KW - Mice KW - Neoplastic Processes KW - Neoplasms KW - Immunity KW - Humans L1 - https://digitalcollections.ohsu.edu/record/7867/files/feng.zipei.2016.pdf L2 - https://digitalcollections.ohsu.edu/record/7867/files/feng.zipei.2016.pdf L4 - https://digitalcollections.ohsu.edu/record/7867/files/feng.zipei.2016.pdf LK - https://digitalcollections.ohsu.edu/record/7867/files/feng.zipei.2016.pdf N2 - 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. PB - Oregon Health and Science University PY - 2016-09-01 T1 - Multiparametric analysis of tumor immune environment TI - Multiparametric analysis of tumor immune environment UR - https://digitalcollections.ohsu.edu/record/7867/files/feng.zipei.2016.pdf Y1 - 2016-09-01 ER -