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一种用于预测接受铂类化疗的肺腺癌患者反应并伴有一致生存获益的个体化特征。

An individualised signature for predicting response with concordant survival benefit for lung adenocarcinoma patients receiving platinum-based chemotherapy.

作者信息

Qi Lishuang, Li Yang, Qin Yuan, Shi Gengen, Li Tianhao, Wang Jiasheng, Chen Libin, Gu Yunyan, Zhao Wenyuan, Guo Zheng

机构信息

College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150086, China.

Key Laboratory of Ministry of Education for Gastrointestinal Cancer, Department of Bioinformatics, Fujian Medical University, Fuzhou 350001, China.

出版信息

Br J Cancer. 2016 Dec 6;115(12):1513-1519. doi: 10.1038/bjc.2016.370. Epub 2016 Nov 17.

DOI:10.1038/bjc.2016.370
PMID:27855439
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5155365/
Abstract

BACKGROUND

For lung adenocarcinoma (LUAD) patients receiving platinum-based adjuvant chemotherapy (ACT), predictive signatures extracted from survival data solely are not directly associated with platinum response. Another limitation of reported signatures, commonly based on risk scores summarised from gene expressions, is that they could not be applied directly to samples measured by different laboratories due to experimental batch effects.

METHODS

Using 60 samples of LUAD patients receiving platinum-based ACT in TCGA, we pre-selected gene pairs whose within-samples relative expression orderings (REOs) were significantly associated with both pathological response and 5-year survival, from which we selected an optimal signature whose within-samples REOs could identify responders with improved 5-year survival rate.

RESULTS

A predictive signature consisting of three gene pairs was developed. In an independent data set integrated from five small data sets, the predicted responders had a significantly higher 5-year survival rate than the predicted non-responders if and only if they received platinum-based ACT (log-rank P=0.0006). The predicted responders showed a 22% absolute benefit of platinum-based ACT in 5-year survival rate compared with untreated patients (log-rank P=0.0019).

CONCLUSIONS

The REO-based signature can individually predict response to platinum-based ACT with concordant survival benefit directly for LUAD samples measured by different laboratories.

摘要

背景

对于接受铂类辅助化疗(ACT)的肺腺癌(LUAD)患者,仅从生存数据中提取的预测特征与铂类反应并无直接关联。已报道的特征通常基于基因表达总结出的风险评分,其另一个局限性在于,由于实验批次效应,这些特征无法直接应用于不同实验室检测的样本。

方法

利用癌症基因组图谱(TCGA)中60例接受铂类ACT的LUAD患者样本,我们预先选择了样本内相对表达顺序(REO)与病理反应和5年生存率均显著相关的基因对,从中选择了一个最优特征,其样本内REO能够识别5年生存率更高的反应者。

结果

开发了一个由三对基因组成的预测特征。在一个整合了五个小数据集的独立数据集中,当且仅当预测的反应者接受铂类ACT时,他们的5年生存率显著高于预测的无反应者(对数秩检验P = 0.0006)。与未治疗的患者相比,预测的反应者在5年生存率方面显示出铂类ACT有22%的绝对获益(对数秩检验P = 0.0019)。

结论

基于REO的特征能够直接针对不同实验室检测的LUAD样本,单独预测对铂类ACT的反应,并伴有一致的生存获益。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da3d/5155365/b8c8c66cf42b/bjc2016370f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da3d/5155365/89100459ccd7/bjc2016370f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da3d/5155365/05e0425fb0da/bjc2016370f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da3d/5155365/c4be74b8c957/bjc2016370f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da3d/5155365/b8c8c66cf42b/bjc2016370f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da3d/5155365/89100459ccd7/bjc2016370f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da3d/5155365/05e0425fb0da/bjc2016370f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da3d/5155365/c4be74b8c957/bjc2016370f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da3d/5155365/b8c8c66cf42b/bjc2016370f4.jpg

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