人类白细胞抗原G蛋白表达是肝细胞癌治愈性切除后的一种不良预后因子

MedSci简评：这篇文章中上海中山医院肝癌研究所的文章，文章并不复杂，主要研究HLA-G对肝癌预后的判断。特色有：（1）选择的是肝癌治愈性切除后的样本；（2）采用了组织芯片技术；（3）样本量较大；（4）研究切入当前的热点如Treg作用。

Human leukocyte antigen-G protein expression is an unfavorable prognostic predictor of hepatocellular carcinoma following curative resection

Cai MY, Xu YF, Qiu SJ, Ju MJ, Gao Q, Li YW, Zhang BH, Zhou J, Fan J

Clin Cancer Res. 2009 Jul 15;15(14):4686-93.

Purpose: Human leukocyte antigen-G (HLA-G) is a tumor-associated immunosuppressive molecule involved in tumor escape mechanisms. The aimof this study is to elucidate its prognostic significance in hepatocellular carcinoma (HCC). Experimental Design: Immunohistochemical staining of HLA-G expression as well as tumor infiltrating FoxP3+ regulatory( Tregs) and CD8 + cytotoxic T cells was carried out on tissue microarrays containing 173 HCC tissue specimens. Membrane-bound HLA-G1 protein expression in five human HCC cell lines was detected by Western blot. Results: HLA-G expression was associated with HCC prognosis, especially in early-stage diseases, with high expression independentlya ssociated with shortened overall survival (P = 0.041) and increased tumor recurrence (P = 0.023). HLA-G level was positivelyr elated to Tregs/CD8+ ratio and their combination served as a better prognosticator, patients having concurrent high levels of both variables at more than three times of risk of death and tumor relapse than those with concurrent lowlevels (both P < 0.001). In addition, HLA-G1 expression increased in a concordant manner with the increase of metastatic potential in human HCC cell lines. Conclusions: Overexpression of HLA-G protein in HCC was an independent indicator for poor outcome especially in early-stage disease. The combination of HLA-G expression and Tregs/CD8+ ratio added the prognostic power to both variables, offering a possible strategy of tumor-stroma interaction-oriented cancer immunotherapy. © 2009 American Association for Cancer Research.
Correspondence Address: Fan, J.; Institute of Biomedical Sciences, Fudan University, 136 Yi Xue Yuan Road, Shanghai 200032, China; email:jiafan99@yahoo.com

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