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Nine-factor-based immunohistochemistry classifier predicts recurrence for early-stage hepatocellular carcinoma after curative resection
Author(s) -
WeiRen Liu,
Min Tian,
Zheng Tang,
Yuan Fang,
YuFu Zhou,
Shushu Song,
XiFei Jiang,
Han Wang,
Chenyang Tao,
PeiYun Zhou,
WeiFeng Qu,
Zhen–Bin Ding,
YuanFei Peng,
Jian Zhou,
Jia Fan,
Ying–Hong Shi
Publication year - 2020
Publication title -
british journal of cancer
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.833
H-Index - 236
eISSN - 1532-1827
pISSN - 0007-0920
DOI - 10.1038/s41416-020-0864-0
Subject(s) - nomogram , medicine , immunohistochemistry , hepatocellular carcinoma , oncology , classifier (uml) , artificial intelligence , computer science
Immunoscore have shown a promising prognostic value in many cancers. We aimed to establish and validate an immune classifier to predict survival after curative resection of hepatocellular carcinoma (HCC) patients who have undergone curative resection.

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