Medicine and Health Sciences Commons^™

Exploring Breast Cancer Systemic Drug Therapy Patterns In Real-World Data, Julia O'Rourke, Jeff Warnick, John Doole, Luc De Keyser, Zuzanna Drebert, Olivia Wan, Courtney N Thompson, Jack W. London, Karen Fairchild, Matvey B. Palchuk

Kimmel Cancer Center Faculty Papers

PURPOSE: To explore medications and their administration patterns in real-world patients with breast cancer.

METHODS: A retrospective study was performed using TriNetX, a federated network of deidentified, Health Insurance Portability and Accountability Act-compliant data from 21 health care organizations across North America. Patients diagnosed with breast cancer between January 1, 2013, and May 31, 2022, were included. We investigated a rule-based and unsupervised learning algorithm to extract medications and their administration patterns. To group similar administration patterns, we used three features in k-means clustering: total number of administrations, median number of days between administrations, and standard deviation of the days …

Clinical Characteristics, Racial Inequities, And Outcomes In Patients With Breast Cancer And Covid-19: A Covid-19 And Cancer Consortium (Ccc19) Cohort Study, Gayathri Nagaraj, Shaveta Vinayak, Ali Raza Khaki, Tianyi Sun, Nicole M. Kuderer, David M. Aboulafia, Jared D. Acoba, Joy Awosika, Ziad Bakouny, Nicole B. Balmaceda, Ting Bao, Babar Bashir, Stephanie Berg, Mehmet A. Bilen, Poorva Bindal, Sibel Blau, Brianne E. Bodin, Hala T. Borno, Cecilia Castellano, Horyun Choi, John Deeken, Aakash Desai, Natasha Edwin, Lawrence E. Feldman, Daniel B. Flora, Christopher R. Friese, Matthew D. Galsky, Cyndi J. Gonzalez, Petros Grivas, Shilpa Gupta, Marcy Haynam, Hannah Heilman, Dawn L. Hershman, Clara Hwang, Chinmay Jani, Sachin R. Jhawar, Monika Joshi, Virginia Kaklamani, Elizabeth J. Klein, Natalie Knox, Vadim S. Koshkin, Amit A. Kulkarni, Daniel H. Kwon, Chris Labaki, Philip E. Lammers, Kate I. Lathrop, Mark A. Lewis, Xuanyi Li, Gilbert De Lima Lopes, Gary H. Lyman, Della F. Makower, Abdul-Hai Mansoor, Merry-Jennifer Markham, Sandeep H. Mashru, Rana R. Mckay, Ian Messing, Vasil Mico, Rajani Nadkarni, Swathi Namburi, Ryan H. Nguyen, Taylor Kristian Nonato, Tracey Lynn O'Connor, Orestis A. Panagiotou, Kyu Park, Jaymin M. Patel, Kanishka Gopikabimal Patel, Jeffrey Peppercorn, Hyma Polimera, Matthew Puc, Yuan James Rao, Pedram Razavi, Sonya A. Reid, Jonathan W. Riess, Donna R. Rivera, Mark Robson, Suzanne J. Rose, Atlantis D. Russ, Lidia Schapira, Pankil K. Shah, M Kelly Shanahan, Lauren C. Shapiro, Melissa Smits, Daniel G. Stover, Mitrianna Streckfuss, Lisa Tachiki, Michael A. Thompson, Sara M. Tolaney, Lisa B. Weissmann, Grace Wilson, Michael T. Wotman, Elizabeth M. Wulff-Burchfield, Sanjay Mishra, Benjamin French, Jeremy L. Warner, Maryam B. Lustberg, Melissa K. Accordino, Dimpy P. Shah

Department of Medical Oncology Faculty Papers

BACKGROUND: Limited information is available for patients with breast cancer (BC) and coronavirus disease 2019 (COVID-19), especially among underrepresented racial/ethnic populations.

METHODS: This is a COVID-19 and Cancer Consortium (CCC19) registry-based retrospective cohort study of females with active or history of BC and laboratory-confirmed severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection diagnosed between March 2020 and June 2021 in the US. Primary outcome was COVID-19 severity measured on a five-level ordinal scale, including none of the following complications, hospitalization, intensive care unit admission, mechanical ventilation, and all-cause mortality. Multivariable ordinal logistic regression model identified characteristics associated with COVID-19 severity.

RESULTS: …

Selection Of Optimal Quantile Protein Biomarkers Based On Cell-Level Immunohistochemistry Data, Misung Yi, Tingting Zhan, Amy R. Peck, Jeffrey A. Hooke, Albert J. Kovatich, Craig D. Shriver, Hai Hu, Yunguang Sun, Hallgeir Rui, Inna Chervoneva

Department of Pharmacology, Physiology, and Cancer Biology Faculty Papers

BACKGROUND: Protein biomarkers of cancer progression and response to therapy are increasingly important for improving personalized medicine. Advanced quantitative pathology platforms enable measurement of protein expression in tissues at the single-cell level. However, this rich quantitative cell-by-cell biomarker information is most often not exploited. Instead, it is reduced to a single mean across the cells of interest or converted into a simple proportion of binary biomarker-positive or -negative cells.

RESULTS: We investigated the utility of retaining all quantitative information at the single-cell level by considering the values of the quantile function (inverse of the cumulative distribution function) estimated from a …

Relative Burden Of Cancer And Noncancer Mortality Among Long-Term Survivors Of Breast, Prostate, And Colorectal Cancer In The Us, Madhav Kc, Jane Fan, Terry Hyslop, Sirad Hassan, Michael Cecchini, Shi-Yi Wang, Andrea Silber, Michael S. Leapman, Ira Leeds, Stephanie B. Wheeler, Lisa P. Spees, Cary P. Gross, Maryam Lustberg, Rachel A. Greenup, Amy C. Justice, Kevin C. Oeffinger, Michaela A. Dinan

Kimmel Cancer Center Faculty Papers

IMPORTANCE: Improvements in cancer outcomes have led to a need to better understand long-term oncologic and nononcologic outcomes and quantify cancer-specific vs noncancer-specific mortality risks among long-term survivors.

OBJECTIVE: To assess absolute and relative cancer-specific vs noncancer-specific mortality rates among long-term survivors of cancer, as well as associated risk factors.

DESIGN, SETTING, AND PARTICIPANTS: This cohort study included 627 702 patients in the Surveillance, Epidemiology, and End Results cancer registry with breast, prostate, or colorectal cancer who received a diagnosis between January 1, 2003, and December 31, 2014, who received definitive treatment for localized disease and who were alive 5 …

A Novel Method For Measuring The Burden Of Breast Cancer In Neighborhoods, Russell K. Mcintire, Hee-Soon Juon, Scott W. Keith, Nicole L. Simone, Dexter Waters, Eleanor Lewis, Charnita Zeigler-Johnson

College of Population Health Faculty Papers

Community-based breast cancer prevention efforts often focus on women who live in the same neighborhoods, as they tend to have similar demographic characteristics, health behaviors, and environmental exposures; yet little research describes methods of selecting neighborhoods of focus for community-based cancer prevention interventions. Studies frequently use demographics from census data, or single breast cancer outcomes (e.g., mortality, morbidity) in order to choose neighborhoods of focus for breast cancer interventions, which may not be optimal. This study presents a novel method for measuring the burden of breast cancer among neighborhoods that could be used for selecting neighborhoods of focus. In this …

Anatomy Versus Physiology: Is Breast Lymphatic Drainage To The Internal Thoracic (Internal Mammary) Lymphatic System Clinically Relevant?, Priscilla Machado, Ji-Bin Liu, Laurence Needleman, Christine Lee, Flemming Forsberg

Department of Radiology Faculty Papers

Approximately 15%−25% of breast lymphatic drainage passes through the internal thoracic (internal mammary) lymphatic system, draining the inner quadrants of the breast. This study aimed to use lymphosonography to identify sentinel lymph nodes (SLNs) in the axillary and internal thoracic lymphatic systems in patients with breast cancer. Seventy-nine patients received subcutaneous ultrasound contrast agent injections around the tumor. Lymphosonography was used to identify SLNs. In 14 of the 79 patients (17.7%), the tumor was located in the inner quadrant of the breast. Lymphosonography identified 217 SLNs in 79 patients, averaging 2.7 SLNs per patient. The 217 identified SLNs in the …