Dataset Information

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 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.

SUBMITTER: Pancoska P

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

REPOSITORIES: biostudies-literature

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

Pančoška Petr P Skála Lubomír L Nešetřil Jaroslav J Carr Brian I BI

Seminars in oncology 20150105 2

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 ...[more]

PMID: 25843738

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Project description:BackgroundCongenital anomalies are a significant cause of death and disability for infants, especially in low and middle-income countries (LMIC), where 95% of all deaths due to anomalies occur. Limited data on the prevalence and survival of infants with congenital anomalies are available from Central America. Estimates have indicated that 53 of every 10,000 live births in Guatemala are associated with a congenital anomaly. We aim to report on the incidence and survival of infants with congenital anomalies from a population-based registry and classify the anomalies according to the International Classification of Disease, Tenth Revision (ICD-10).MethodsWe conducted a planned secondary analysis of data from the Maternal Newborn Health Registry (MNHR), a prospective, population-based study carried out by the Global Network for Women's and Children's Health Research in seven research sites. We included all deliveries between 2014 and 2018 in urban and rural settings in Chimaltenango, in the Western Highlands of Guatemala. These cases of clinically evident anomalies were reported by field staff and reviewed by medically trained staff, who classified them according to ICD - 10 categories. The incidence of congenital anomalies and associated stillbirth, neonatal mortality, and survival rates were determined for up to 42 days.ResultsOut of 60,142 births, 384 infants were found to have a clinically evident congenital anomaly (63.8 per 10,000 births). The most common were anomalies of the nervous system (28.8 per 10,000), malformations and deformations of the musculoskeletal system (10.8 per 10,000), and cleft lip and palate (10.0 per 10,000). Infants born with nervous system anomalies had the highest stillbirth and neonatal mortality rates (14.6 and 9.0 per 10,000, respectively).ConclusionsThis is the first population-based report on congenital anomalies in Guatemala. The rates we found of overall anomalies are higher than previously reported estimates. These data will be useful to increase the focus on congenital anomalies and hopefully increase the use of interventions of proven benefit.Trial registrationClinalTrial.gov ID: NCT01073475 .

Dataset Information

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

Publications

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

Similar Datasets

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