Abstract 4: Temporal and spatial topography of cell proliferation in cancer

Abstract

Abstract Uncontrolled cell proliferation is a defining feature of malignancy. Current understanding of proliferation, particularly in humans, derives primarily from studying cells growing rapidly in the non-physiological conditions of cell culture. However, tumors are exceedingly complex admixtures of different cell types and subclonal malignant populations comprising proliferative, non-proliferative, and arrested states that are influenced by physical, metabolic, and molecular conditions. Images of single or small sets of protein markers from fixed tissue samples only provide limited and static views into the nature of these complex states. Here we identify proliferation states and develop a quantitative framework to extract cell cycle dynamics from multiplexed, spatially-resolved tissue images of millions of tumor cells from human cancers and genetically engineered tumors in mice. Across spatial scales, tumors display intrinsic regional variability in proliferation patterns and in the coherence of cell cycle markers in high-dimensional space. Cell cycle dynamics and cell cycle coherence are not solely a function of tumor growth and oncogene expression and rapidly adapt following genetic and therapeutic perturbations. Replacing binary metrics with multivariate traits provides a quantitative framework for extracting multidimensional dynamic information from static images that is broadly applicable to the study of temporal processes within the native architecture of human disease tissues. Citation Format: Giorgio Gaglia, Sheheryar Kabraji, Danae Argyropoulou, Yang Dai, Johann Bergholz, Shannon Coy, Jia-Ren Lin, Eric P. Winer, Deborah Dillon, Jean J. Zhao, Peter K. Sorger, Sandro Santagata. Temporal and spatial topography of cell proliferation in cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr 4.