The Cancer Biology program at the OSUCCC – James focuses on fundamental science research with the goal of making breakthroughs in understanding cancer. The program aims to improve cancer outcomes through collaborative efforts with translational scientists, with a particular focus on the most frequently diagnosed cancers in our catchment area (CA). The OSUCCC – James’ catchment area is the state of Ohio.
About Cancer Biology members
The program promotes and supports collaborative, high-impact basic science research. Our collaborative environment has led to placement within high-impact publications and increased program funding.

In addition, the program emphasizes the career development of its members and supports and promotes community involvement in its research mission. It emphasizes inter-programmatic collaboration in alignment with the OSUCCC – James strategic plan. Cancer Biology supports these goals by holding monthly program meetings, providing pilot funds, offering structured member training and offering education and other initiatives.
Co-Leader: Dawn S. Chandler, PhD
Co-Leader: Gina M. Sizemore, PhD
Co-Leader: Matthew D. Ringel, MD
Aims of the Cancer Biology Program
The specific aims of the CB Program are:
- Aim 1: Gene regulation and deregulation in cancer - Studies focus on identifying and mechanistically studying how genes are differentially controlled in cancer biology.
- Aim 2: Mechanisms of cancer progression - Studies focus on understanding cancer progression and treatment resistance, emphasizing the development and use of novel technologies.
- Aim 3: Tumor microenvironment and immuno-oncology - Studies focus on fundamental research on tumor microenvironments and tumor-immune interactions that regulate cancer growth and provide therapeutic opportunities.
Future directions
- Innovation in Cancer Biology with emphasis on priority cancers through development of new technologies, including tissue model systems, RNA- and nano-therapeutics.
- Applications of machine learning/artificial intelligence (AI) for multiomics data sets.
- Assessment of new regulators of the tumor immune environment.
- Partnerships with clinical/translational scientists to improve prevention and treatment of cancer.