Cargando…

Supervised learning reveals circulating biomarker levels diagnostic of hepatocellular carcinoma in a clinically relevant model of non-alcoholic steatohepatitis; An OAD to NASH

Although cirrhosis is a key risk factor for the development of hepatocellular carcinoma (HCC), mounting evidence indicates that in a subset of patients presenting with non-alcoholic steatohepatitis (NASH) HCC manifests in the absence of cirrhosis. Given the sheer size of the ongoing non-alcoholic fa...

Descripción completa

Detalles Bibliográficos
Autores principales: Hwang, Anne, Shi, Christopher, Zhu, Edward, Naaz, Farha, Zhou, Ping, Rasheed, Zainab, Liu, Michelle, Jung, Lindsey S., Duan, Bin, Li, Jingsong, Jiang, Kai, Paka, Latha, Gadhiya, Satishkumar V., Dana, Dibyendu, Ali, Quaisar, Yamin, Michael A., Goldberg, Itzhak D., Narayan, Prakash
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6019748/
https://www.ncbi.nlm.nih.gov/pubmed/29944670
http://dx.doi.org/10.1371/journal.pone.0198937
_version_ 1783335176485470208
author Hwang, Anne
Shi, Christopher
Zhu, Edward
Naaz, Farha
Zhou, Ping
Rasheed, Zainab
Liu, Michelle
Jung, Lindsey S.
Duan, Bin
Li, Jingsong
Jiang, Kai
Paka, Latha
Gadhiya, Satishkumar V.
Dana, Dibyendu
Ali, Quaisar
Yamin, Michael A.
Goldberg, Itzhak D.
Narayan, Prakash
author_facet Hwang, Anne
Shi, Christopher
Zhu, Edward
Naaz, Farha
Zhou, Ping
Rasheed, Zainab
Liu, Michelle
Jung, Lindsey S.
Duan, Bin
Li, Jingsong
Jiang, Kai
Paka, Latha
Gadhiya, Satishkumar V.
Dana, Dibyendu
Ali, Quaisar
Yamin, Michael A.
Goldberg, Itzhak D.
Narayan, Prakash
author_sort Hwang, Anne
collection PubMed
description Although cirrhosis is a key risk factor for the development of hepatocellular carcinoma (HCC), mounting evidence indicates that in a subset of patients presenting with non-alcoholic steatohepatitis (NASH) HCC manifests in the absence of cirrhosis. Given the sheer size of the ongoing non-alcoholic fatty liver disease (NAFLD) epidemic and the dismal prognosis associated with late-stage primary liver cancer there is an urgent need for HCC surveillance in the NASH population. Using serum levels of HCC biomarkers as vectors and biopsy-proven HCC or no HCC as outputs / binary classifier, a supervised learning campaign was undertaken to develop a minimally invasive technique for making a diagnosis of HCC in a clinically relevant model of NASH. Adult mice randomized to control diet or a fast food diet (FFD) were followed for up to 14 mo and serum level of a panel of HCC-relevant biomarkers was compared with liver biopsies at 3 and 14 mo. Both NAFLD Activity Score (NAS) and hepatic hydroxyproline content were elevated at 3 and 14 mo on FFD. Picrosirius red staining of liver sections revealed a filigree pattern of fibrillar collagen deposition with no cirrhosis at 14 mo on FFD. Nevertheless, 46% of animals bore one or more tumors on their livers confirmed as HCC in hematoxylin-eosin-stained liver sections. In this training set, receiver operating characteristic (ROC) curves analysis for serum levels of the HCC biomarkers osteopontin (OPN), alpha-fetoprotein (AFP) and Dickkopf-1 (DKK1) returned concordance-statistic/area under ROC curve of ≥ 0.89. Serum levels of OPN (threshold, 218 ng/mL; sensitivity, 82%; specificity, 86%), AFP (136 ng/mL; 91%; 97%) and DKK1 (2.4 ng/mL; 82%; 81%) diagnostic for HCC were confirmed in a test set comprising mice on control diet or FFD and mice subjected to hepatic ischemia-reperfusion injury. These data suggest that levels of circulating OPN, AFP and DKK1 can be used to make a diagnosis of HCC in a clinically relevant model of NASH.
format Online
Article
Text
id pubmed-6019748
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-60197482018-07-07 Supervised learning reveals circulating biomarker levels diagnostic of hepatocellular carcinoma in a clinically relevant model of non-alcoholic steatohepatitis; An OAD to NASH Hwang, Anne Shi, Christopher Zhu, Edward Naaz, Farha Zhou, Ping Rasheed, Zainab Liu, Michelle Jung, Lindsey S. Duan, Bin Li, Jingsong Jiang, Kai Paka, Latha Gadhiya, Satishkumar V. Dana, Dibyendu Ali, Quaisar Yamin, Michael A. Goldberg, Itzhak D. Narayan, Prakash PLoS One Research Article Although cirrhosis is a key risk factor for the development of hepatocellular carcinoma (HCC), mounting evidence indicates that in a subset of patients presenting with non-alcoholic steatohepatitis (NASH) HCC manifests in the absence of cirrhosis. Given the sheer size of the ongoing non-alcoholic fatty liver disease (NAFLD) epidemic and the dismal prognosis associated with late-stage primary liver cancer there is an urgent need for HCC surveillance in the NASH population. Using serum levels of HCC biomarkers as vectors and biopsy-proven HCC or no HCC as outputs / binary classifier, a supervised learning campaign was undertaken to develop a minimally invasive technique for making a diagnosis of HCC in a clinically relevant model of NASH. Adult mice randomized to control diet or a fast food diet (FFD) were followed for up to 14 mo and serum level of a panel of HCC-relevant biomarkers was compared with liver biopsies at 3 and 14 mo. Both NAFLD Activity Score (NAS) and hepatic hydroxyproline content were elevated at 3 and 14 mo on FFD. Picrosirius red staining of liver sections revealed a filigree pattern of fibrillar collagen deposition with no cirrhosis at 14 mo on FFD. Nevertheless, 46% of animals bore one or more tumors on their livers confirmed as HCC in hematoxylin-eosin-stained liver sections. In this training set, receiver operating characteristic (ROC) curves analysis for serum levels of the HCC biomarkers osteopontin (OPN), alpha-fetoprotein (AFP) and Dickkopf-1 (DKK1) returned concordance-statistic/area under ROC curve of ≥ 0.89. Serum levels of OPN (threshold, 218 ng/mL; sensitivity, 82%; specificity, 86%), AFP (136 ng/mL; 91%; 97%) and DKK1 (2.4 ng/mL; 82%; 81%) diagnostic for HCC were confirmed in a test set comprising mice on control diet or FFD and mice subjected to hepatic ischemia-reperfusion injury. These data suggest that levels of circulating OPN, AFP and DKK1 can be used to make a diagnosis of HCC in a clinically relevant model of NASH. Public Library of Science 2018-06-26 /pmc/articles/PMC6019748/ /pubmed/29944670 http://dx.doi.org/10.1371/journal.pone.0198937 Text en © 2018 Hwang et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Hwang, Anne
Shi, Christopher
Zhu, Edward
Naaz, Farha
Zhou, Ping
Rasheed, Zainab
Liu, Michelle
Jung, Lindsey S.
Duan, Bin
Li, Jingsong
Jiang, Kai
Paka, Latha
Gadhiya, Satishkumar V.
Dana, Dibyendu
Ali, Quaisar
Yamin, Michael A.
Goldberg, Itzhak D.
Narayan, Prakash
Supervised learning reveals circulating biomarker levels diagnostic of hepatocellular carcinoma in a clinically relevant model of non-alcoholic steatohepatitis; An OAD to NASH
title Supervised learning reveals circulating biomarker levels diagnostic of hepatocellular carcinoma in a clinically relevant model of non-alcoholic steatohepatitis; An OAD to NASH
title_full Supervised learning reveals circulating biomarker levels diagnostic of hepatocellular carcinoma in a clinically relevant model of non-alcoholic steatohepatitis; An OAD to NASH
title_fullStr Supervised learning reveals circulating biomarker levels diagnostic of hepatocellular carcinoma in a clinically relevant model of non-alcoholic steatohepatitis; An OAD to NASH
title_full_unstemmed Supervised learning reveals circulating biomarker levels diagnostic of hepatocellular carcinoma in a clinically relevant model of non-alcoholic steatohepatitis; An OAD to NASH
title_short Supervised learning reveals circulating biomarker levels diagnostic of hepatocellular carcinoma in a clinically relevant model of non-alcoholic steatohepatitis; An OAD to NASH
title_sort supervised learning reveals circulating biomarker levels diagnostic of hepatocellular carcinoma in a clinically relevant model of non-alcoholic steatohepatitis; an oad to nash
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6019748/
https://www.ncbi.nlm.nih.gov/pubmed/29944670
http://dx.doi.org/10.1371/journal.pone.0198937
work_keys_str_mv AT hwanganne supervisedlearningrevealscirculatingbiomarkerlevelsdiagnosticofhepatocellularcarcinomainaclinicallyrelevantmodelofnonalcoholicsteatohepatitisanoadtonash
AT shichristopher supervisedlearningrevealscirculatingbiomarkerlevelsdiagnosticofhepatocellularcarcinomainaclinicallyrelevantmodelofnonalcoholicsteatohepatitisanoadtonash
AT zhuedward supervisedlearningrevealscirculatingbiomarkerlevelsdiagnosticofhepatocellularcarcinomainaclinicallyrelevantmodelofnonalcoholicsteatohepatitisanoadtonash
AT naazfarha supervisedlearningrevealscirculatingbiomarkerlevelsdiagnosticofhepatocellularcarcinomainaclinicallyrelevantmodelofnonalcoholicsteatohepatitisanoadtonash
AT zhouping supervisedlearningrevealscirculatingbiomarkerlevelsdiagnosticofhepatocellularcarcinomainaclinicallyrelevantmodelofnonalcoholicsteatohepatitisanoadtonash
AT rasheedzainab supervisedlearningrevealscirculatingbiomarkerlevelsdiagnosticofhepatocellularcarcinomainaclinicallyrelevantmodelofnonalcoholicsteatohepatitisanoadtonash
AT liumichelle supervisedlearningrevealscirculatingbiomarkerlevelsdiagnosticofhepatocellularcarcinomainaclinicallyrelevantmodelofnonalcoholicsteatohepatitisanoadtonash
AT junglindseys supervisedlearningrevealscirculatingbiomarkerlevelsdiagnosticofhepatocellularcarcinomainaclinicallyrelevantmodelofnonalcoholicsteatohepatitisanoadtonash
AT duanbin supervisedlearningrevealscirculatingbiomarkerlevelsdiagnosticofhepatocellularcarcinomainaclinicallyrelevantmodelofnonalcoholicsteatohepatitisanoadtonash
AT lijingsong supervisedlearningrevealscirculatingbiomarkerlevelsdiagnosticofhepatocellularcarcinomainaclinicallyrelevantmodelofnonalcoholicsteatohepatitisanoadtonash
AT jiangkai supervisedlearningrevealscirculatingbiomarkerlevelsdiagnosticofhepatocellularcarcinomainaclinicallyrelevantmodelofnonalcoholicsteatohepatitisanoadtonash
AT pakalatha supervisedlearningrevealscirculatingbiomarkerlevelsdiagnosticofhepatocellularcarcinomainaclinicallyrelevantmodelofnonalcoholicsteatohepatitisanoadtonash
AT gadhiyasatishkumarv supervisedlearningrevealscirculatingbiomarkerlevelsdiagnosticofhepatocellularcarcinomainaclinicallyrelevantmodelofnonalcoholicsteatohepatitisanoadtonash
AT danadibyendu supervisedlearningrevealscirculatingbiomarkerlevelsdiagnosticofhepatocellularcarcinomainaclinicallyrelevantmodelofnonalcoholicsteatohepatitisanoadtonash
AT aliquaisar supervisedlearningrevealscirculatingbiomarkerlevelsdiagnosticofhepatocellularcarcinomainaclinicallyrelevantmodelofnonalcoholicsteatohepatitisanoadtonash
AT yaminmichaela supervisedlearningrevealscirculatingbiomarkerlevelsdiagnosticofhepatocellularcarcinomainaclinicallyrelevantmodelofnonalcoholicsteatohepatitisanoadtonash
AT goldbergitzhakd supervisedlearningrevealscirculatingbiomarkerlevelsdiagnosticofhepatocellularcarcinomainaclinicallyrelevantmodelofnonalcoholicsteatohepatitisanoadtonash
AT narayanprakash supervisedlearningrevealscirculatingbiomarkerlevelsdiagnosticofhepatocellularcarcinomainaclinicallyrelevantmodelofnonalcoholicsteatohepatitisanoadtonash