Journal of Inonu Liver Transplantation Institute最新文献

{"title":"A Network Phenotyping Strategy approach in a Turkish HCC Dataset and Comparison of Patients Selected for Transplant and those who were not.","authors":"Petr Pancoska, Brian Irving Carr, Volkan Ince, Sezai Yilmaz","doi":"10.14744/jilti.2025.55264","DOIUrl":"10.14744/jilti.2025.55264","url":null,"abstract":"<p><strong>Objectives: </strong>A Network Phenotyping Strategy (NPS) was recently created to stage hepatocellular carcinoma (HCC) from an Italian dataset into 25 discrete phenotypes sT, <math><mi>s</mi> <mo>=</mo> <mn>1</mn> <mo>→</mo> <msub><mrow><mo>τ</mo></mrow> <mrow><mn>1</mn></mrow> </msub> <mo>,</mo> <mo>…</mo> <mo>,</mo> <mi>s</mi> <mo>=</mo> <mn>25</mn> <mo>→</mo> <msub><mrow><mo>τ</mo></mrow> <mrow><mn>25</mn></mrow> </msub> </math> ordered ( <math> <msub><mrow><mo>τ</mo></mrow> <mrow><mn>1</mn></mrow> </msub> <mo><</mo> <msub><mrow><mo>τ</mo></mrow> <mrow><mn>2</mn></mrow> </msub> <mo>,</mo> <mo>…</mo> <mo>,</mo> <mo><</mo> <msub><mrow><mo>τ</mo></mrow> <mrow><mn>25</mn></mrow> </msub> </math> ) according to the dynamics of the HCC progression from its onset.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusion: </strong>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.</p>","PeriodicalId":520497,"journal":{"name":"Journal of Inonu Liver Transplantation Institute","volume":"3 1","pages":"31-41"},"PeriodicalIF":0.0,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12401187/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144985733","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A New Approach to Analysis of Clinical Data and Prognostication for Patients with Hepatocellular Carcinoma, Based Upon a Network Phenotyping Strategy (NPS) Computational Method.","authors":"Brian Carr, Patricia Sotáková, Petr Pancoska","doi":"10.14744/jilti.2024.63935","DOIUrl":"10.14744/jilti.2024.63935","url":null,"abstract":"<p><strong>Objectives: </strong>There is a multi-component nature of the influences on HCC progression but integrating them has been difficult. Network phenotyping strategy (NPS) integrates all multi-component relationship facets of HCC progression and aims to lead to a new way of understanding human HCC biology.</p><p><strong>Methods: </strong>We converted baseline patient demographics, tumor characteristics, blood hematology and liver function test results, consisting of values of 17 standard clinical variables, collected time-coherently at the index visit, into a graph-theoretical data representation.</p><p><strong>Results: </strong>These data were analyzed by NPS, which processes the patient parameter values together with their complete relationships network. NPS identified 25 disease-progression ordered HCC phenotypes. Clinically relevant NPS results are a) Portal vein thrombosis incidence during HCC progression stratified into 5 narrow ranges; b) NPS identified patients according to aggressive, slow and intermediate tumor growth sub-types; c) Personalized prognostication of mortality was achieved by the 25 NPS phenotypes, independently optimized for respective phenotype sub-cohorts.</p><p><strong>Conclusion: </strong>The NPS results were implemented as an internet application (https://apkatos.github.io/webpage_nps), where input of 17 clinical parameters provides the patient phenotype, phenotype-characteristic average mortality and personal survival estimate.</p>","PeriodicalId":520497,"journal":{"name":"Journal of Inonu Liver Transplantation Institute","volume":"2 3","pages":"109-116"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11972422/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143797581","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}