Evolutionary dynamics at the tumor edge reveal metabolic imaging biomarkers.

ABSTRACT: Human cancers are biologically and morphologically heterogeneous. A variety of clonal populations emerge within these neoplasms and their interaction leads to complex spatiotemporal dynamics during tumor growth. We studied the reshaping of metabolic activity in human cancers by means of continuous and discrete mathematical models and matched the results to positron emission tomography (PET) imaging data. Our models revealed that the location of increasingly active proliferative cellular spots progressively drifted from the center of the tumor to the periphery, as a result of the competition between gradually more aggressive phenotypes. This computational finding led to the development of a metric, normalized distance from 18F-fluorodeoxyglucose (18F-FDG) hotspot to centroid (NHOC), based o

SUBMITTER: Jimenez-Sanchez J 

PROVIDER: S-EPMC8017959 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature