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Prognostic factors and tumor treatments in hepatocellular cancer

Abstract
Background: Hepatocellular carcinoma (HCC) is one of the most common causes of cancer-related death worldwide. Prognosis is related to tumor burden, liver function, and performance status as well as treatment factors. Accurate prognostication is a requisite for optimal treatment decisions. Aims: The general aim was to explore specific prognostic factors in different settings of HCC, and to evaluate outcome after treatment with curative intent in patients eligible for multiple treatments. Methods: This thesis is based on four clinical studies in patients with HCC. Study I is a prospective observational study, investigating if patient-reported quality of life (QoL) can predict survival and increase the prognostic accuracy of established staging models. Study II is a review of medical records in a national cohort of patients with liver transplantation from 1996-2014, investigating if AFP levels increase the prognostic accuracy of current selection criteria. Study III is a prospective feasibility study, evaluating neo-adjuvant systemic treatment with sorafenib before liver transplantation. In the fourth study, data from a national registry 2008-2016, was used to assess risk factors and compare outcome in patients eligible for multiple treatments. Overall and recurrence-free survival rates were estimated using Kaplan-Meier and comparisons using log rank tests. Risk factor assessment was performed using Cox Regression analyses. Results and Conclusions: QoL data was prognostic for survival. Adding QoL data improved the prognostic accuracy of established scoring systems. Pre-transplant AFP was a prognostic factor for survival after liver transplantation for HCC. AFP combined with traditional criteria improved the accuracy of patient selection. Sorafenib treatment before liver transplantation was associated with low tolerability and inadequate tumor control. Survival differences after liver transplantation, resection, or ablation were limited in subgroups with well-preserved liver function and limited tumor burden. Liver function variables predicted survival and should be carefully considered in treatment decisions.
Parts of work
I. Sternby Eilard, M, Hagström, H, Mortensen, KE, Wilsgaard, T, Vagnildhaug O M, Dajani, O, Stål, P, Rizell, M. Quality of life as a prognostic factor for survival in hepatocellular carcinoma. Liver International 2018; 38(5): 885-894. ::doi::10.1111/liv.13593
 
II. Sternby Eilard, M, Holmberg, E, Naredi, P, Söderdahl, G, Rizell, M. Addition of alfa fetoprotein to traditional criteria for hepatocellular carcinoma improves selection accuracy in liver transplantation. Scandinavian J Gastroenterology 2018; 53(8):976-983 ::doi::10.1080/00365521.2018.1488180
 
III. Sternby Eilard, M, Andersson, M, Naredi, P, Geronymakis, C, Lindnér, P, Cahlin, C, Bennet, W, Rizell, M. A prospective clinical trial on sorafenib treatment of hepatocellular carcinoma before liver transplantation. Submitted.
 
IV. Sternby Eilard, M, Naredi, P, Helmersson, M, Hemmingsson, O, Isaksson, B, Lindell G, Sandström, P, Strömberg, C, Rizell, M. Survival outcome after liver transplantation versus resection and ablation for early HCC - a national registry based study. Submitted.
 
Degree
Doctor of Philosophy (Medicine)
University
University of Gothenburg. Sahlgrenska Academy
Institution
Institute of Clinical Sciences. Department of Surgery
Disputation
Fredagen den 29 mars 2019, kl. 13.00, Hörsal Arvid Carlsson, Academicum, Medicinaregatan 3, Göteborg
Date of defence
2019-03-29
E-mail
malin.sternby.eilard@gu.se
URI
http://hdl.handle.net/2077/58490
Collections
  • Doctoral Theses / Doktorsavhandlingar Institutionen för kliniska vetenskaper
  • Doctoral Theses from Sahlgrenska Academy
  • Doctoral Theses from University of Gothenburg / Doktorsavhandlingar från Göteborgs universitet
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Thesis frame (31.03Mb)
Abstract (113.2Kb)
Date
2019-03-04
Author
Sternby Eilard, Malin
Keywords
hepatocellular cancer
prognostication
Publication type
Doctoral thesis
ISBN
978-91-7833-320-2 (print)
978-91-7833-321-9 (PDF)
Language
eng
Metadata
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