Literature DB >> 25843738

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

Petr Pančoška1, Lubomír Skála2, Jaroslav Nešetřil3, Brian I Carr4.   

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 were observed for slower growing larger tumors (20% of cohort) with total masses>70. Combining the clinical survival and t(baseline) normalized all HCC patients to a common 1,045 days of mean total disease duration (t(baseline) plus post diagnosis survival). We also found a simple relationship between the baseline clinical status, t(baseline), and survival. Every difference between individual patient baseline clinical profiles and special coherent clinical status (HL1) reduced the above common overall survival (OVS) by 65 days. In summary, we showed that HCC patients with any given tumor can best have their tumor biology understood, when account is taken of the total clinical and liver contexts, and with knowing the point in the tumor history when an HCC diagnosis is made. This ability to compute the t(baseline) from standard clinical data brings us closer to calculating survival from diagnosis of individual HCC patients.
Copyright © 2015 Elsevier Inc. All rights reserved.

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Year:  2015        PMID: 25843738      PMCID: PMC4388062          DOI: 10.1053/j.seminoncol.2014.12.025

Source DB:  PubMed          Journal:  Semin Oncol        ISSN: 0093-7754            Impact factor:   4.929


  22 in total

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5.  HCC and its microenvironment.

Authors:  Brian I Carr; Vito Guerra
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6.  Tumour size and differentiation in predicting recurrence of hepatocellular carcinoma after liver transplantation: external validation of a new prognostic score.

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7.  Tumour size and differentiation predict survival after liver resection for hepatocellular carcinoma arising from non-cirrhotic and non-fibrotic liver: a case-controlled study.

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8.  Hepatitis B vs. hepatitis C infection on viral hepatitis-associated hepatocellular carcinoma.

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9.  Prognosis evaluation in patients with hepatocellular carcinoma after hepatectomy: comparison of BCLC, TNM and Hangzhou criteria staging systems.

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Journal:  PLoS One       Date:  2014-08-18       Impact factor: 3.240

Review 10.  Novel aspects of the liver microenvironment in hepatocellular carcinoma pathogenesis and development.

Authors:  Thomas Tu; Magdalena A Budzinska; Annette E Maczurek; Robert Cheng; Anna Di Bartolomeo; Fiona J Warner; Geoffrey W McCaughan; Susan V McLennan; Nicholas A Shackel
Journal:  Int J Mol Sci       Date:  2014-05-27       Impact factor: 5.923

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