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Real world clinical practice in treating advanced hepatocellular carcinoma: When East meets West
Author(s) -
YiHao Yen,
YuFan Cheng,
JingHoung Wang,
ChihChe Lin,
YenYang Chen,
CheeChien Yong,
YuehWei Liu,
Jen-Yu Cheng,
ChienHung Chen,
TsungHui Hu
Publication year - 2020
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0230005
Subject(s) - medicine , hepatocellular carcinoma , liver cancer , cohort , sorafenib , retrospective cohort study , stage (stratigraphy) , population , gastroenterology , hepatitis c , liver disease , cancer , cancer registry , cohort study , surgery , paleontology , environmental health , biology
Background and aims The Barcelona Clinic Liver Cancer (BCLC) stage C (BCLC C) of hepatocellular carcinoma (HCC) includes a heterogeneous population for which sorafeninb is one of the recommended therapies. We aim to evaluate the real world clinical treatment and survival of BCLC stage C patients in an Asian cohort. Methods This is a retrospective cohort study that enrolled 427 consecutive BCLC stage C patients diagnosed between 2011 and 2017 by using the HCC registry data for our hospital. All patients were managed via a multidisciplinary team (MDT) approach. Results Hepatitis B surface antigen positive was noted in 50.6% of the patients. The patients were classified as performance status (PS)1 alone (n = 83; 19.4%), PS2 alone (n = 23; 5.4%), or macrovascular invasion (MVI) or extrahepatic spread (EHS) (n = 321; 75.2%). The median overall survival (OS) was 11.0 months in the whole cohort. The most frequent treatments were transcatheter arterial embolization (TAE) in the PS1 (45.8%) and PS2 patients (52.2%) and sorafenib (32.4%) in the MVI or EHS patients. The independent prognostic factors were the PS, Child-Pugh class, MVI or EHS, alpha fetoprotein levels, and treatment type. Conclusions We reported the real world management in BCLC stage C patients in an Asian cohort through the use of personalized management via a MDT approach.

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