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通过基因表达谱预测保乳治疗后的局部复发

Predicting a local recurrence after breast-conserving therapy by gene expression profiling.

作者信息

Nuyten Dimitry S A, Kreike Bas, Hart Augustinus A M, Chi Jen-Tsan Ashley, Sneddon Julie B, Wessels Lodewyk F A, Peterse Hans J, Bartelink Harry, Brown Patrick O, Chang Howard Y, van de Vijver Marc J

机构信息

Department of Radiation Oncology, The Netherlands Cancer Institute/Antoni van Leeuwenhoek Hospital, Plesmanlaan 121, 1066 CX Amsterdam, The Netherlands.

出版信息

Breast Cancer Res. 2006;8(5):R62. doi: 10.1186/bcr1614.

DOI:10.1186/bcr1614
PMID:17069664
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC1779489/
Abstract

INTRODUCTION

To tailor local treatment in breast cancer patients there is a need for predicting ipsilateral recurrences after breast-conserving therapy. After adequate treatment (excision with free margins and radiotherapy), young age and incompletely excised extensive intraductal component are predictors for local recurrence, but many local recurrences can still not be predicted. Here we have used gene expression profiling by microarray analysis to identify gene expression profiles that can help to predict local recurrence in individual patients.

METHODS

By using previously established gene expression profiles with proven value in predicting metastasis-free and overall survival (wound-response signature, 70-gene prognosis profile and hypoxia-induced profile) and training towards an optimal prediction of local recurrences in a training series, we establish a classifier for local recurrence after breast-conserving therapy.

RESULTS

Validation of the different gene lists shows that the wound-response signature is able to separate patients with a high (29%) or low (5%) risk of a local recurrence at 10 years (sensitivity 87.5%, specificity 75%). In multivariable analysis the classifier is an independent predictor for local recurrence.

CONCLUSION

Our findings indicate that gene expression profiling can identify subgroups of patients at increased risk of developing a local recurrence after breast-conserving therapy.

摘要

引言

为了为乳腺癌患者量身定制局部治疗方案，有必要预测保乳治疗后的同侧复发情况。在进行充分治疗（切缘阴性切除及放疗）后，年轻以及广泛导管内成分切除不完全是局部复发的预测因素，但仍有许多局部复发无法预测。在此，我们利用基因芯片分析进行基因表达谱分析，以识别有助于预测个体患者局部复发的基因表达谱。

方法

通过使用先前建立的在预测无转移生存和总生存方面具有已证实价值的基因表达谱（伤口反应特征、70基因预后特征和缺氧诱导特征），并在一个训练系列中针对局部复发的最佳预测进行训练我们建立了一个保乳治疗后局部复发的分类器。

结果

对不同基因列表的验证表明，伤口反应特征能够区分10年时局部复发风险高（29%）或低（5%）的患者（敏感性87.5%，特异性75%）。在多变量分析中，该分类器是局部复发的独立预测因素。

结论

我们的研究结果表明，基因表达谱分析能够识别出保乳治疗后发生局部复发风险增加的患者亚组。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0c8/1779489/7a31c27755d7/bcr1614-2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0c8/1779489/b74367af5e80/bcr1614-1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0c8/1779489/7a31c27755d7/bcr1614-2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0c8/1779489/b74367af5e80/bcr1614-1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0c8/1779489/7a31c27755d7/bcr1614-2.jpg

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