Abstract IA21: Assembling study cohorts for molecular characterization from medically underserved populations: A view from the trenches

Gathering relevant high-quality clinical data and biologic material to support cancer health disparities research in underserved populations can be a challenging task. During this session, I will briefly outline approaches that my group employs in collaboration with a small oncology center in rural North Carolina and pathologists at the Aga Khan University Hospital, Nairobi, Kenya, to study breast cancer cohorts. The discussion will include: 1) recruiting and engaging pathologists for tissue analysis; 2) using digital pathology and automated scoring platforms to increase throughput, accuracy, and reproducibility; 3) incorporation of real-time telepathology workflows to provide histopathology consultation, classifications, scoring, and validation; 4) dealing with missing data; and 5) recruiting and working with an informatics team for data abstraction from the medical records.

Citation Format: Kevin L. Gardner. Assembling study cohorts for molecular characterization from medically underserved populations: A view from the trenches [abstract]. In: Proceedings of the Eleventh AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2018 Nov 2-5; New Orleans, LA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2020;29(6 Suppl):Abstract nr IA21.