基因表达谱分析对直肠癌术前放化疗反应预测的有效性

Effectiveness of gene expression profiling for response prediction of rectal adenocarcinomas to preoperative chemoradiotherapy.

作者信息

Ghadimi B Michael, Grade Marian, Difilippantonio Michael J, Varma Sudhir, Simon Richard, Montagna Cristina, Füzesi Laszlo, Langer Claus, Becker Heinz, Liersch Torsten, Ried Thomas

机构信息

Genetics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bldg 50, Rm 1408, 50 South Dr, Bethesda, MD 20892-8010, USA.

出版信息

J Clin Oncol. 2005 Mar 20;23(9):1826-38. doi: 10.1200/JCO.2005.00.406.

Abstract

PURPOSE

There is a wide spectrum of tumor responsiveness of rectal adenocarcinomas to preoperative chemoradiotherapy ranging from complete response to complete resistance. This study aimed to investigate whether parallel gene expression profiling of the primary tumor can contribute to stratification of patients into groups of responders or nonresponders.

PATIENTS AND METHODS

Pretherapeutic biopsies from 30 locally advanced rectal carcinomas were analyzed for gene expression signatures using microarrays. All patients were participants of a phase III clinical trial (CAO/ARO/AIO-94, German Rectal Cancer Trial) and were randomized to receive a preoperative combined-modality therapy including fluorouracil and radiation. Class comparison was used to identify a set of genes that were differentially expressed between responders and nonresponders as measured by T level downsizing and histopathologic tumor regression grading.

RESULTS

In an initial set of 23 patients, responders and nonresponders showed significantly different expression levels for 54 genes (P < .001). The ability to predict response to therapy using gene expression profiles was rigorously evaluated using leave-one-out cross-validation. Tumor behavior was correctly predicted in 83% of patients (P = .02). Sensitivity (correct prediction of response) was 78%, and specificity (correct prediction of nonresponse) was 86%, with a positive and negative predictive value of 78% and 86%, respectively.

CONCLUSION

Our results suggest that pretherapeutic gene expression profiling may assist in response prediction of rectal adenocarcinomas to preoperative chemoradiotherapy. The implementation of gene expression profiles for treatment stratification and clinical management of cancer patients requires validation in large, independent studies, which are now warranted.

摘要

目的

直肠腺癌对术前放化疗的肿瘤反应范围广泛,从完全缓解到完全耐药。本研究旨在调查原发性肿瘤的平行基因表达谱分析是否有助于将患者分层为反应者或无反应者组。

患者和方法

使用微阵列分析30例局部晚期直肠癌的治疗前活检组织的基因表达特征。所有患者均为一项III期临床试验(CAO/ARO/AIO-94,德国直肠癌试验)的参与者,随机接受包括氟尿嘧啶和放疗的术前综合治疗。通过类比较来识别一组在反应者和无反应者之间差异表达的基因,反应者和无反应者通过T分期缩小和组织病理学肿瘤消退分级来衡量。

结果

在最初的23例患者中,反应者和无反应者有54个基因的表达水平存在显著差异(P <.001)。使用留一法交叉验证严格评估了利用基因表达谱预测治疗反应的能力。83%的患者肿瘤行为被正确预测(P =.02)。敏感性(正确预测反应)为78%,特异性(正确预测无反应)为86%,阳性预测值和阴性预测值分别为78%和86%。

结论

我们的结果表明,治疗前基因表达谱分析可能有助于预测直肠腺癌对术前放化疗的反应。将基因表达谱用于癌症患者的治疗分层和临床管理需要在大型独立研究中进行验证,目前这是必要的。

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