SOX2 activation predicts prognosis in patients with head and neck squamous cell carcinoma.

SOX2 activation predicts prognosis in patients with head and neck squamous cell carcinoma.
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SOX2激活可以预测头颈部鳞状细胞癌患者的预后。

DOI:
10.1038/s41598-018-20086-w
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发表时间:
2018-01-26
期刊:
影响因子:
4.6
通讯作者:
Eun YG
Eun YG
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Chung JH;Jung HR;Jung AR;Lee YC;Kong M;Lee JS;Eun YG

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分析SOX2拷贝数和mRNA表达以检查HNSCC中SOX2活化的临床意义。在HNSCC组群中鉴定了反映S0X2活化的基因表达特征。HNSCC患者根据基因表达特征分为两个亚组:SOX 2-高和SOX 2-低。在两个独立的队列中进一步验证了SOX 2激活的临床意义。此外,在HNSCC患者中评估了响应于放疗的SOX 2活化的临床意义。在体外实验中验证了SOX 2活化与放射治疗之间的关系。在所有三个患者队列中,SOX 2高亚组患者的预后均优于SOX 2低亚组患者。多变量回归分析结果显示,SOX 2信号是HNSCC患者总生存期的独立预测因子(风险比,1.45; 95%可信区间,1.09 - 1.92; P = 0.01)。有趣的是,SOX 2激活是接受放疗患者治疗结果的预测因子。此外,SOX 2过表达增强了HNSCC细胞系中的放射治疗效果。SOX2激活与HNSCC患者预后改善相关,可用于预测哪些患者可能受益于放疗。
SOX2 copy number and mRNA expression were analysed to examine the clinical significance of SOX2 activation in HNSCC. Gene expression signatures reflecting SOX2 activation were identified in an HNSCC cohort. Patients with HNSCC were classified into two subgroups according to the gene expression signature: SOX2-high and SOX2-low. The clinical significance of SOX2 activation was further validated in two independent cohorts. Moreover, clinical significance of SOX2 activation in response to radiotherapy was assessed in patients with HNSCC. The relationship between SOX2 activation and radiotherapy was validated in an in vitro experiment. Patients in the SOX2-high subgroup had a better prognosis than patients in the SOX2-low subgroup in all three patient cohorts. Results of multivariate regression analysis showed that SOX2 signature was an independent predictor of the overall survival of patients with HNSCC (hazard ratio, 1.45; 95% confidence interval, 1.09–1.92; P = 0.01). Interestingly, SOX2 activation was a predictor of therapy outcomes in patients receiving radiotherapy. Moreover, SOX2 overexpression enhanced the effect of radiotherapy in HNSCC cell lines. SOX2 activation is associated with improved prognosis of patients with HNSCC and might be used to predict which patients might benefit from radiotherapy.
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