Prediction of radiosensitive patients with gastric cancer by developing gene signature.
Prediction of radiosensitive patients with gastric cancer by developing gene signature.
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通过开发基因特征来预测放射敏感性胃癌患者
DOI：
10.3892/ijo.2017.4107
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发表时间：
2017-10
影响因子：
5.2
通讯作者：
Tang Z
中科院分区：
文献类型：
--
作者：
Zhou J;Wu X;Li G;Gao X;Zhai M;Chen W;Hu H;Tang Z
胃癌是一种常见的肿瘤，辅助放射治疗是其重要的临床治疗手段。然而，放射治疗是一把双刃剑。有必要开发一种方法来预测最有可能从放射治疗中受益的放射敏感患者。利用来自癌症基因组图谱(TCGA)的公开可用的胃癌数据，我们开发了一个基因标记，它通过估计每个患者的新指标-名义HR(NHR)(敏感基因的HR乘积)来预测辐射敏感患者。在这项研究中，我们提供了几个结果来验证我们的预测。交叉验证结果显示，接受放射治疗的预测放射敏感性患者的存活率明显好于未接受放射治疗的预测放射敏感性患者。在调整了其他临床因素，包括年龄、性别、靶向治疗、组织学诊断、肿瘤分期后，放射治疗对预测的放射敏感性患者的益处仍然显著。此外，预计接受放射治疗的放射敏感性患者的疾病进展率显著降低。综上所述，我们已经获得了一组基因，用于识别对辐射敏感的胃癌患者。这些基因可能成为胃癌诊断和治疗的潜在生物标志物，为揭示胃癌放射敏感性的潜在机制提供新的思路。
Adjuvant radiotherapy is an important clinical treatment for the majority of gastric cancer, a common cancer. However, radiotherapy is a double-edged sword. It is necessary to develop a method to predict radiosensitive patients who are most likely to benefit from radiotherapy. Using the publicly available data of gastric cancer from The Cancer Genome Atlas (TCGA), we developed a gene signature that predicts radiosensitive patients through estimating a new index, nominal HR (nHR) (HR product of sensitive genes), for each patient. In this study, we provided several results to validate our prediction. Cross-validation results showed that the predicted radiosensitive patients who received radiotherapy had significantly better survival than predicted radiosensitive patients who did not receive radiotherapy. After adjusting for other clinical factors, including age, sex, target therapy, histologic diagnosis, tumor stage, the benefit of radiotherapy on predicted radiosensitive patient remained significant. In addition, predicted radiosensitive patients who received radiotherapy had a significantly reduced rate of disease progression. Taken together, we have obtained a set of genes, to identify radiosensitive patients with gastric cancer. These genes may be potential biomarkers for diagnosis and treatment of gastric cancer, which could give new insight for revealing the underlying mechanism of radiosensitivity of gastric cancer.
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