Ultra-Highplex Protein Analysis of Breast Cancer Tissue Sections
Conference Year
January 2022
Abstract
Breast cancer is the most common cancer in women in the United States. Improvements in screening techniques have led to a decrease in mortality rate but have created harm associated with overdiagnosis. It is critical to accurately determine the severity of prognostic indicators of breast cancer cases to minimize this harm. The goal of our project is to identify biomarkers present in the tumor microenvironment of breast cancer tumors that indicate whether cases will progress to invasive disease. This will be accomplished using ultra-highplex CODEX (Phenocycler) technology to assess multiple protein markers (up to 24) on human breast cancer samples.
Primary Faculty Mentor Name
Prachi Ghule
Secondary Mentor Name
Gary Stein, Doug Taatjes
Status
Graduate
Student College
Larner College of Medicine
Program/Major
Pathology and Laboratory Medicine
Primary Research Category
Biological Sciences
Secondary Research Category
Health Sciences
Ultra-Highplex Protein Analysis of Breast Cancer Tissue Sections
Breast cancer is the most common cancer in women in the United States. Improvements in screening techniques have led to a decrease in mortality rate but have created harm associated with overdiagnosis. It is critical to accurately determine the severity of prognostic indicators of breast cancer cases to minimize this harm. The goal of our project is to identify biomarkers present in the tumor microenvironment of breast cancer tumors that indicate whether cases will progress to invasive disease. This will be accomplished using ultra-highplex CODEX (Phenocycler) technology to assess multiple protein markers (up to 24) on human breast cancer samples.