Evidence map›Paper›PMID 40900759›Full record

ArticleJournal of Inonu Liver Transplantation Institute2025

A Network Phenotyping Strategy approach in a Turkish HCC Dataset and Comparison of Patients Selected for Transplant and those who were not.

Petr Pancoska, Brian Irving Carr, Volkan Ince, Sezai Yilmaz

Abstract read
In one paragraph

Article in Journal of Inonu Liver Transplantation Institute, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Petr PancoskaInstitute of Theoretical Informatics, Charles University, Prague, Czech Republic and University of Pittsburgh, Pittsburgh, PA, USA.ORCID 0000-0002-6724-8559
Brian Irving CarrLiver Transplant Institute, Inonu University, Malatya, Türkiye.ORCID 0000-0002-6111-5077
Volkan InceLiver Transplant Institute, Inonu University, Malatya, Türkiye.ORCID 0000-0002-0714-490X
Sezai YilmazLiver Transplant Institute, Inonu University, Malatya, Türkiye.ORCID 0000-0002-8044-0297

Funding

K VITAMINS--A NEW CLASS OF LIVER CELL GROWTH INHIBITORSR01CA082723 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CARR, BRIAN I · 2000 to 2008
$2.3M
NCI NIH HHS R01 CA082723
6 · The paper itself

Abstract

Objectives: A Network Phenotyping Strategy (NPS) was recently created to stage hepatocellular carcinoma (HCC) from an Italian dataset into 25 discrete phenotypes sT, Methods: To use NPS methodology on an ethnically different, Turkish HCC cohort that had, in addition, been stratified according to patients selected for liver transplantation or not. Results: The Turkish patients had only a smaller subset of 16 out of the 25 HCC phenotypes of the Italian patients. HCC progression through phenotypes, which are exclusive to the Italian population, is a dominantly tumor biology-driven process, occurring within a constant extent of liver microenvironment damage. In contrast, in phenotypes shared by the minority of Italian patients and the majority of Turkish patients, the HCC progresses by a more complex disease burden generating mechanism, consisting of simultaneous tumor biology-driven damage, accompanied by advancing liver microenvironmental impairment.NPS objective stratification of a "real world clinical practice" patient cohort into subpopulations with identical HCC clinical phases enabled the simulation of clinician-dependent selection for liver transplantation or not in this cohort, using specific baseline variables. A clearer understanding of HCC biology has allowed us to identify differing biological phenotypes. The predominant 12T phenotype was examined in detail and combined with surgical knowledge obtained retrospectively as to the difference between transplanted and non-transplanted patients to then derive models that may be useful for biology-dependent surgical decision support in future patients. Conclusion: Only a subset of all HCC phenotypes appeared in the Turkish cohort and may be explained by the non-screened patients having HCC as a secondary problem, and is primarily driven by the liver microenvironment, in contrast to Italy, where HCC develops (predominantly) in healthier livers.

Indexed as

HCCNetwork phenotyping strategytransplant

Identifiers

PMID40900759
PMCPMC12401187

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.