Predicting radiotherapy response for patients with soft tissue sarcoma by developing a molecular signature.
Predicting radiotherapy response for patients with soft tissue sarcoma by developing a molecular signature.
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通过开发分子特征来预测软组织肉瘤患者的放疗反应
DOI：
10.3892/or.2017.5999
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发表时间：
2017-11
期刊：
影响因子：
4.2
通讯作者：
Yi N
中科院分区：
文献类型：
--
作者：
Tang Z;Zeng Q;Li Y;Zhang X;Suto MJ;Xu B;Yi N
软组织肉瘤是一种罕见的侵袭性肿瘤，起源于结缔组织。辅助放射治疗是大多数肉瘤常用的治疗方法。我们试图确定一个基因标记，它可以预测放射敏感性患者，与疾病进展相比，他们最有可能对放射治疗有更好的反应。利用来自癌症基因组图谱的公开可用的软组织肉瘤数据，我们开发了一种交叉验证程序来识别辐射敏感性的预测基因签名。结果表明，接受放射治疗的预测放射敏感性患者的治疗反应明显改善。我们进一步提供了支持性证据来验证我们的敏感性预测。结果显示，接受放射治疗的预测放射敏感性患者比没有接受放射治疗的患者的存活率显著提高。ROC分析表明，所开发的基因特征对治疗反应有很强的预测作用。我们进一步发现，接受放射治疗的预期放射敏感性患者的新肿瘤事件发生率显著降低。最后，我们使用层次聚类分析来验证我们的基因签名，并发现预测的敏感度与聚类分析的结果很好地匹配。这些结果与我们的预期一致，表明识别的基因特征和辐射敏感性预测是有效的。该标记所涉及的基因可能为预后研究和放射治疗靶点的发现提供分子基础。
Soft tissue sarcomas are rare and aggressive tumors arising from connective tissues. Adjuvant radiotherapy is a commonly used treatment approach for the majority of sarcomas. We attempted to identify a gene signature that can predict radiosensitive patients who are most likely to have a better treatment response from radiotherapy, compared with disease progression. Using the publicly available data of soft tissue sarcoma from The Cancer Genome Atlas, we developed a cross-validation procedure to identify a predictive gene signature for radiosensitivity. The results showed that the predicted radiosensitive patients who received radiotherapy had significantly improved treatment response. We further provide supportive evidence to validate our sensitivity prediction. Results showed that the predicted radiosensitive patients who received radiotherapy had significantly improved survival than patients who did not. ROC analysis showed that the developed gene signature had a powerful prediction on treatment response. We further found that predicted radiosensitive patients who received radiotherapy had a significantly reduced rate of new tumor events. Finally, we validated our gene signature using a hierarchical cluster analysis, and found that the predicted sensitivities were well-matched with results from the cluster analysis. These results are consistent with our expectation, suggesting that the identified gene signature and radiosensitivity prediction are effective. The genes involved in the signature may provide a molecular basis for prognostic studies and radiotherapy target discovery.
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影响因子：
3.7
作者：
Hall JS;Iype R;Senra J;Taylor J;Armenoult L;Oguejiofor K;Li Y;Stratford I;Stern PL;O'Connor MJ;Miller CJ;West CM
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影响因子：
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作者：
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影响因子：
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作者：
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通讯作者：
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