Combination of intratumoral invariant natural killer T cells and interferon-gamma is associated with prognosis of hepatocellular carcinoma after curative resection.
Combination of intratumoral invariant natural killer T cells and interferon-gamma is associated with prognosis of hepatocellular carcinoma after curative resection.
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瘤内恒定自然杀伤 T 细胞和干扰素-γ 的组合与根治性切除后肝细胞癌的预后相关
DOI:
10.1371/journal.pone.0070345
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发表时间:
2013
期刊:
影响因子:
3.7
通讯作者:
Fan J
中科院分区:
文献类型:
--
作者:
Xiao YS;Gao Q;Xu XN;Li YW;Ju MJ;Cai MY;Dai CX;Hu J;Qiu SJ;Zhou J;Fan J
To investigate the prognostic value of intratumoral invariant natural killer T (iNKT) cells and interferon-gamma (IFN-γ) in hepatocellular carcinoma (HCC) after curative resection. Expression of TRAV10, encoding the Vα24 domain of iNKT cells, and IFN-γ mRNA were assessed by quantitative real-time polymerase chain reaction in tumor from 224 HCC patients undergoing curative resection. The prognostic value of these two and other clinicopathologic factors was evaluated. Either intratumoral iNKT cells and IFN-γ alone or their combination was an independent prognostic factor for OS (P = 0.001) and RFS (P = 0.001) by multivariate Cox proportional hazards analysis. Patients with concurrent low levels of iNKT cells and IFN-γ had a hazard ratio (HR) of 2.784 for OS and 2.673 for RFS. The areas under the curve of iNKT cells, IFN-γand their combination were 0.618 vs 0.608 vs 0.654 for death and 0.591 vs 0.604 vs 0.633 for recurrence respectively by receiver operating characteristic curve analysis. The prognosis was the worst for HCC patients with concurrent low levels of iNKT cells and IFN-γ, which might be related with more advanced pTNM stage and more vascular invasion. Combination of intratumoral iNKT cells and IFN-γ is a promising independent predictor for recurrence and survival in HCC, which has a better power to predict HCC patients’ outcome compared with intratumoral iNKT cells or IFN-γ alone.
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DOI:
10.1084/jem.20031462
发表时间:
2004-05-03
期刊:
The Journal of experimental medicine
影响因子:
--
作者:
Metelitsa LS;Wu HW;Wang H;Yang Y;Warsi Z;Asgharzadeh S;Groshen S;Wilson SB;Seeger RC
通讯作者:
Seeger RC
影响因子:
6.4
作者:
Margalit, M;Shibolet, O;Ilan, Y
通讯作者:
Ilan, Y
影响因子:
45.3
作者:
Molling, Johan W.;Langius, Jacqueline A. E.;van den Eertwegh, Alfons J. M.
通讯作者:
van den Eertwegh, Alfons J. M.
影响因子:
6.4
作者:
Miyagi, T;Takehara, T;Hayashi, N
通讯作者:
Hayashi, N
影响因子:
11.5
作者:
Gao, Qiang;Wang, Xiao-Ying;Fan, Jia
通讯作者:
Fan, Jia