Translational Medical Research Commons^™

Statistics Of Tumor Micro-Environment, Brenton Maisel, Inna Chervoneva

Phase 1

Introduction: Immune cells play a prominent role in keeping tumors suppressed, but how the distribution of these immune cells within a tumor’s microenvironment remains poorly understood. The long-term goal of this project is to study how statistical spatial distributions of different immune cells is associated with clinical outcome. The first objective is developing an algorithm for identifying different types of immune cells.

Methods: The data motivating this project includes spatial localization information (x-y coordinates) and expression levels of immune cell CD markers quantified by immunofluorescence immunohistochemistry (IF-IHC) in ~1,500 cases of invasive breast cancer. Using expression levels of CD markers …

Ethnic Differences In Germline Genetic Testing For Breast Cancer, Kathryn Dent, Rebecca J. Jaslow, Md

Phase 1

Introduction: Ethnic variations in uptake of genetic testing and differences in findings of germline mutations within ethnic groups, are not well understood. The goal of this research is to assess for any such differences or similarities within a genetic counseling and testing program at an urban Cancer Center.

Methods: This is a non-comparative, descriptive epidemiology study assessing individuals with a diagnosis of breast cancer undergoing genetic counseling at the TJUH Sidney Kimmel Cancer Center in Philadelphia between 2014 and 2019. Data were compiled onto Research Electronic Data Capture (REDCAP) and analyzed statistically.

Results: Patients with Breast Cancer (n=1075) were included …

Cyclin D1-Mediated Microrna Expression Signature Predicts Breast Cancer Outcome, Guangxue Wang, Michael Gormley, Jing Qiao, Qian Zhao, Min Wang, Gabriele Disante, Shengqiong Deng, Lin Dong, Timothy G. Pestell, Xiaoming Ju, Mathew C. Casimiro, Sankar Addya, Adam Ertel, Ayden Tozeren, Qinchuan Li, Zuoren Yu, Richard G. Pestell

Department of Cancer Biology Faculty Papers

Background: Genetic classification of breast cancer based on the coding mRNA suggests the evolution of distinct subtypes. Whether the non-coding genome is altered concordantly with the coding genome and the mechanism by which the cell cycle directly controls the non-coding genome is poorly understood.

Methods: Herein, the miRNA signature maintained by endogenous cyclin D1 in human breast cancer cells was defined. In order to determine the clinical significance of the cyclin D1-mediated miRNA signature, we defined a miRNA expression superset from 459 breast cancer samples. We compared the coding and non-coding genome of breast cancer subtypes.

Results: Hierarchical clustering of …