Date of Award

January 2023

Document Type


Degree Name

Master of Science (MS)


Biomedical Engineering

First Advisor

Sandeep Singhal


Breast cancer biomarkers have great potential in providing clinicians more individualized information about the composition and outcomes of a patient’s breast cancer. However, many breast cancer biomarkers have not been evaluated on a large scale or in groups of patients with diverse characteristics, leading to difficulty in their translation to having an impact on patients. In this study, we compile a large, pooled breast cancer patient data cohort and evaluate breast cancer biomarkers on patients with diverse characteristics. Biomarkers are found to have varying expression patterns within the different breast cancer subtypes, validating the need to evaluate biomarkers on patient populations with diverse backgrounds, subtypes, and other breast cancer characteristics. As expected, ESR1, an estrogen receptor biomarker, showed significant increased expression in the Luminal A and Luminal B subtypes for this dataset. The large, pooled cohort developed in this study has future potential in many areas of breast cancer research.

Available for download on Friday, June 06, 2025