Evaluation of total hepatocellular cancer lifespan, including both clinically evident and preclinical development, using combined network phenotyping strategy and fisher information analysis.

ABSTRACT: We previously showed that for hepatocellular cancer (HCC) prognostication, disease parameters need to be considered within a total personal clinical context. This requires preserving the coherence of data values, observed simultaneously for each patient during baseline diagnostic evaluation. Application of the Network Phenotyping Strategy (NPS) provided quantitative descriptors of these patient coherences. Combination of these descriptors with Fisher information about the patient tumor mass and the histogram of the tumor masses in the whole cohort permitted estimation of the time from disease onset until clinical diagnosis (t(baseline)). We found faster growth of smaller tumors having total masses<70 (80% of cohort) which involved about three times more interacting cellular processes than

SUBMITTER: Pancoska P 

PROVIDER: S-EPMC4388062 | biostudies-literature | 2015 Apr

REPOSITORIES: biostudies-literature