Literature DB >> 34092607

Prognostic and predictive significance of the tumor microenvironment in hepatocellular carcinoma.

Jibing Liu1,1, Shuwen Kuang2,1, Yiling Zheng2, Mei Liu3, Liming Wang2.   

Abstract

BACKGROUND: Identification of molecular markers that reflect the characteristics of the tumor microenvironment (TME) may be beneficial to predict the prognosis of post-operative hepatocellular carcinoma (HCC) patients. OBJECTIVE AND METHODS: A total of 100 tissue samples from HCC patients were separately stained by immunohistochemistry to examine the expression levels of CD56, CD8α, CD68, FoxP3, CD31 and pan-Keratin. The prognostic values were analyzed by Cox regression and the Kaplan-Meier method.
RESULTS: Univariate and multivariate logistic analysis showed that FoxP3 was the independent factor associated with microvascular invasion (MVI), tumor size and envelop invasion; CD68 was associated with envelope invasion and AFP. Kaplan-Meier survival curves revealed that CD68 and FoxP3 expression were significantly associated with relapse free survival (RFS) of HCC patients (P< 0.05). The ROC curve indicated that the combination of tumor number, MVI present and CD68 expression yielded a ROC curve area of 82.3% (86.36% specificity, 68.75% sensitivity) to evaluate the prognosis of HCC patients, which was higher than the classifier established by the combination of tumor number and MVI (78.8% probability, 63.64% specificity and 85.42% sensitivity).
CONCLUSIONS: Our study indicated that CD68 and FoxP3 are associated with prognosis of HCC patients, and CD68 can be considered as a potential prognostic and predictive biomarker.

Entities:  

Keywords:  CD31; CD68; FoxP3; HCC; microvascular invasion (MVI); relapse survival (RFS)

Mesh:

Year:  2021        PMID: 34092607     DOI: 10.3233/CBM-203003

Source DB:  PubMed          Journal:  Cancer Biomark        ISSN: 1574-0153            Impact factor:   4.388


  2 in total

1.  A Promising Preoperative Prediction Model for Microvascular Invasion in Hepatocellular Carcinoma Based on an Extreme Gradient Boosting Algorithm.

Authors:  Weiwei Liu; Lifan Zhang; Zhaodan Xin; Haili Zhang; Liting You; Ling Bai; Juan Zhou; Binwu Ying
Journal:  Front Oncol       Date:  2022-03-04       Impact factor: 6.244

2.  The Prognostic Value of Natural Killer Cells and Their Receptors/Ligands in Hepatocellular Carcinoma: A Systematic Review and Meta-Analysis.

Authors:  Jun-Shuai Xue; Zi-Niu Ding; Guang-Xiao Meng; Lun-Jie Yan; Hui Liu; Hai-Chao Li; Sheng-Yu Yao; Bao-Wen Tian; Zhao-Ru Dong; Zhi-Qiang Chen; Jian-Guo Hong; Dong-Xu Wang; Tao Li
Journal:  Front Immunol       Date:  2022-04-07       Impact factor: 8.786

  2 in total

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