Evaluation of Total Hepatocellular Cancer Lifespan, Including Both Clinically Evident and Preclinical Development, Using Combined Network Phenotyping Strategy and Fisher Information Analysis

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F15%3A10319693" target="_blank" >RIV/00216208:11320/15:10319693 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1053/j.seminoncol.2014.12.025" target="_blank" >http://dx.doi.org/10.1053/j.seminoncol.2014.12.025</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1053/j.seminoncol.2014.12.025" target="_blank" >10.1053/j.seminoncol.2014.12.025</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Evaluation of Total Hepatocellular Cancer Lifespan, Including Both Clinically Evident and Preclinical Development, Using Combined Network Phenotyping Strategy and Fisher Information Analysis

Popis výsledku v původním jazyce

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 patientduring 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 tbasth normalized all HCC patients to a common 1,045 days of mean total disea

Název v anglickém jazyce

Evaluation of Total Hepatocellular Cancer Lifespan, Including Both Clinically Evident and Preclinical Development, Using Combined Network Phenotyping Strategy and Fisher Information Analysis

Popis výsledku anglicky

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 patientduring 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 tbasth normalized all HCC patients to a common 1,045 days of mean total disea

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

BB - Aplikovaná statistika, operační výzkum

OECD FORD obor

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Projekt

<a href="/cs/project/LL1201" target="_blank" >LL1201: Komplexní Struktury: Regularita v Kombinatorice a Diskrétní Matematice</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2015

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Seminars in Oncology

ISSN

0093-7754

e-ISSN

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Svazek periodika

42

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

8

Strana od-do

339-346

Kód UT WoS článku

000352757700014

EID výsledku v databázi Scopus

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