Midkine as a prognostic biomarker in oral squamous cell carcinoma.

Midkine as a prognostic biomarker in oral squamous cell carcinoma.
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在口服鳞状细胞癌中,中酮是预后的生物标志物。

DOI:
10.1038/sj.bjc.6604539
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发表时间:
2008-08-19
影响因子:
8.8
通讯作者:
Ando, Y.
Ando, Y.
中科院分区:
医学1区
文献类型:
--
作者:
Ota, K.;Fujimori, H.;Ueda, M.;Shiniriki, S.;Kudo, M.;Jono, H.;Fukuyoshi, Y.;Yamamoto, Y.;Sugiuchi, H.;Iwase, H.;Shinohara, M.;Ando, Y.

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本研究的目的是评估血清中期因子(S-MK)浓度作为口腔鳞状细胞癌(OSCC)的预后肿瘤标志物。我们测量了口腔鳞癌患者和健康志愿者的S-MK浓度。此外,我们进行了实时定量逆转录PCR分析和免疫组化与新鲜的肿瘤样本。为了确定S-MK浓度是否具有预后价值,我们使用对数秩检验对临床信息进行了生存分析。口腔鳞癌患者血清中期因子浓度显著高于健康对照组(P<0.001)。早期口腔鳞癌患者血清中期因子水平明显高于健康对照组(P<0.001)。此外,免疫组织化学允许识别过度表达MK蛋白在口腔鳞癌组织。MK mRNA在口腔鳞状细胞癌组织中的表达明显高于正常口腔黏膜组织。高S-MK组5年生存率明显低于低S-MK组(P<0.05)。早期口腔鳞状细胞癌中S-MK浓度的增加与生存率低密切相关。因此,血清中期因子浓度可能是一个有用的标志物,不仅为癌症筛查,而且对口腔鳞癌患者的预后进行预测。
The aim of this study was to evaluate serum midkine (S-MK) concentrations as a prognostic tumour marker in oral squamous cell carcinoma (OSCC). We measured S-MK concentrations in patients with OSCC and healthy volunteers. In addition, we performed real-time quantitative reverse transcription–PCR analysis and immunohistochemistry with fresh tumour samples. To determine whether S-MK concentrations have prognostic value, we performed survival analyses with clinical information by using the log-rank test. Serum midkine concentrations were significantly higher in patients with OSCC than in healthy controls (P<0.001). Serum midkine concentrations were also significantly increased in early-stage OSCC compared with those of healthy individuals (P<0.001). In addition, immunohistochemistry allowed identification of overexpressed MK protein in OSCC tissues. MK mRNA showed higher expression in OSCC samples compared with normal mucosal samples. Patients in high S-MK groups showed a significantly lower 5-year survival rate compared with patients in low S-MK groups (P<0.05). The increased S-MK concentrations in early-stage OSCC were strongly associated with poor survival. Serum midkine concentrations may thus be a useful marker not only for cancer screening but also for predicting prognosis of OSCC patients.
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