S M Schlichtemeier1, T C Pang2, N E Williams1, A J Gill3, R C Smith4, J S Samra5, V W T Lam2, M Hollands2, A J Richardson2, H C Pleass2, S Nozawa1, M Albania1, T J Hugh6. 1. Upper Gastrointestinal Surgical Unit, Royal North Shore Hospital and North Shore Private Hospital, Australia. 2. Department of Upper Gastrointestinal Surgery, Westmead Hospital, Australia; Discipline of Surgery, University of Sydney, Australia. 3. Department of Anatomical Pathology, Royal North Shore Hospital and Cancer Diagnosis and Pathology Research Group, Kolling Institute of Medical Research, Royal North Shore Hospital, Australia; Discipline of Surgery, University of Sydney, Australia. 4. Discipline of Surgery, University of Sydney, Australia. 5. Upper Gastrointestinal Surgical Unit, Royal North Shore Hospital and North Shore Private Hospital, Australia; Discipline of Surgery, University of Sydney, Australia. 6. Upper Gastrointestinal Surgical Unit, Royal North Shore Hospital and North Shore Private Hospital, Australia; Discipline of Surgery, University of Sydney, Australia. Electronic address: tom.hugh@sydney.edu.au.
Abstract
BACKGROUND: Hepatocellular cancer (HCC) is a leading cause of mortality worldwide. Liver resection or transplantation offer the best chance of long-term survival. The aim of this study was to perform a survival and prognostic factor analysis on patients who underwent resection of HCC at two major tertiary referral hospitals, and to investigate a pre-operative prediction model for microvascular invasion (MVI). METHODS: Clinico-pathological and survival data were collected from all patients who underwent liver resection for HCC at two tertiary referral centres (Royal North Shore/North Shore Private Hospitals and Westmead Hospital) from 1998 to 2012. An overall and disease-free survival analysis was performed and a predictive model for MVI identified. RESULTS: The total number of patients in this series was 125 and the 5-year overall and disease-free survival rates were 56% and 37%, respectively. MVI was the only factor to be independently associated with a poor prognosis on both overall and disease-free survival. Age ≥64 years, a serum alpha-fetoprotein (AFP) ≥400 ng/ml (×40 above normal) and tumor size ≥50 mm were independently associated with MVI. An MVI prediction model using these three pre-operative factors provides a good assessment of the risk of MVI. CONCLUSION: MVI in the resected specimen of patients with HCC is associated with a poor prognosis. A preoperative MVI prediction model offers a useful way to identify patients at risk of relapse. However, more precise predictive models using molecular and genetic variables are needed to improve selection of patients most suitable for radical surgical treatment.
BACKGROUND:Hepatocellular cancer (HCC) is a leading cause of mortality worldwide. Liver resection or transplantation offer the best chance of long-term survival. The aim of this study was to perform a survival and prognostic factor analysis on patients who underwent resection of HCC at two major tertiary referral hospitals, and to investigate a pre-operative prediction model for microvascular invasion (MVI). METHODS: Clinico-pathological and survival data were collected from all patients who underwent liver resection for HCC at two tertiary referral centres (Royal North Shore/North Shore Private Hospitals and Westmead Hospital) from 1998 to 2012. An overall and disease-free survival analysis was performed and a predictive model for MVI identified. RESULTS: The total number of patients in this series was 125 and the 5-year overall and disease-free survival rates were 56% and 37%, respectively. MVI was the only factor to be independently associated with a poor prognosis on both overall and disease-free survival. Age ≥64 years, a serum alpha-fetoprotein (AFP) ≥400 ng/ml (×40 above normal) and tumor size ≥50 mm were independently associated with MVI. An MVI prediction model using these three pre-operative factors provides a good assessment of the risk of MVI. CONCLUSION: MVI in the resected specimen of patients with HCC is associated with a poor prognosis. A preoperative MVI prediction model offers a useful way to identify patients at risk of relapse. However, more precise predictive models using molecular and genetic variables are needed to improve selection of patients most suitable for radical surgical treatment.
Authors: Jian Zheng; Jayasree Chakraborty; William C Chapman; Scott Gerst; Mithat Gonen; Linda M Pak; William R Jarnagin; Ronald P DeMatteo; Richard K G Do; Amber L Simpson Journal: J Am Coll Surg Date: 2017-09-21 Impact factor: 6.113
Authors: Joonho Jeong; Jung Gu Park; Kwang Ill Seo; Ji Hyun Ahn; Jae Chun Park; Byung Cheol Yun; Sang Uk Lee; Jin Wook Lee; Jong Hyouk Yun Journal: Medicine (Baltimore) Date: 2021-07-09 Impact factor: 1.889