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一种用于预测局部晚期直肠癌新辅助放化疗病理反应的定性特征。

A qualitative signature for predicting pathological response to neoadjuvant chemoradiation in locally advanced rectal cancers.

机构信息

Department of Bioinformatics, Key Laboratory of Ministry of Education for Gastrointestinal Cancer, Fujian Medical University, China; Department of Preventive Medicine, Gannan Medical University, China.

Department of Colorectal Surgery, Fujian Medical University Union Hospital, China.

出版信息

Radiother Oncol. 2018 Oct;129(1):149-153. doi: 10.1016/j.radonc.2018.01.010. Epub 2018 Feb 3.

Abstract

BACKGROUND AND PURPOSE

The standard therapy for locally advanced rectal cancers (LARCs) is neoadjuvant chemoradiation (nCRT) followed by surgical resection. Pathological response to nCRT varies among patients, and it remains a challenge to predict pathological response to nCRT in LARCs.

MATERIAL AND METHODS

Using 42 samples as the training cohort, we searched a signature by screening the gene pairs whose within-sample relative expression orderings are significantly correlated with the pathological response. The signature was validated in both a public cohort of 46 samples and a cohort of 33 samples measured at our laboratory.

RESULTS

A signature consisting of 27 gene pairs was identified in the training cohort with an accuracy of 92.86% and an area under the receiver operating characteristic curve (AUC) of 0.95. The accuracy was 89.13% for the public test cohort and 90.91% for the private test cohort, with AUC being 0.95 and 0.91, respectively. Furthermore, the signature was used to predict disease-free survival benefits from 5Fu-based chemotherapy in 285 locally advanced colorectal cancers.

CONCLUSIONS

The signature consisting of 27 gene pairs can robustly predict clinical response of LARCs to nCRT.

摘要

背景与目的

局部晚期直肠癌(LARC)的标准治疗方法是新辅助放化疗(nCRT)后进行手术切除。nCRT 的病理反应在患者之间存在差异,预测 LARC 对 nCRT 的病理反应仍然是一个挑战。

材料与方法

使用 42 个样本作为训练队列,我们通过筛选与病理反应显著相关的基因对的样本内相对表达顺序进行了特征搜索。该特征在 46 个公共样本队列和我们实验室测量的 33 个样本队列中进行了验证。

结果

在训练队列中确定了由 27 个基因对组成的特征,其准确率为 92.86%,接收者操作特征曲线(AUC)下面积为 0.95。在公共测试队列中的准确率为 89.13%,在私人测试队列中的准确率为 90.91%,AUC 分别为 0.95 和 0.91。此外,该特征用于预测 285 例局部晚期结直肠癌患者接受 5Fu 为基础的化疗的无病生存获益。

结论

由 27 个基因对组成的特征可以稳健地预测 LARC 对 nCRT 的临床反应。

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