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多指标蛋白信号通路分析鉴定出对新辅助治疗有反应的直肠癌患者。

Multiplexed protein signal pathway mapping identifies patients with rectal cancer that responds to neoadjuvant treatment.

机构信息

Clinica Chirurgica II, Department of Surgical, Oncological and Gastroenterological Sciences, University of Padova, Padova, Italy.

出版信息

Clin Colorectal Cancer. 2012 Dec;11(4):268-74. doi: 10.1016/j.clcc.2012.05.003. Epub 2012 Jun 2.

Abstract

BACKGROUND

Currently there is no reliable technique for predicting clinical or pathologic complete tumor response after radiochemotherapy (RCT) in patients with rectal cancer. We applied reverse phase protein microarray (RPMA) technology to find a signal pathway that may predict the response to preoperative treatment.

PATIENTS AND METHODS

Fifteen rectal cancer samples were collected during preoperative RCT. Seven patients had a good response to preoperative therapy (Mandard grade I-II) and 8 patients had a poor response (Mandard grade III-V). Using laser capture microdissection (LCM) and RPMA analysis, we measured the phosphorylation level of nearly 80 end points and analyzed the signaling pathways.

RESULTS

We identified 4 signaling proteins whose phosphorylation levels were significantly different (P < .05) between the good vs. poor responders; CHK2 and β-catenin were more highly phosphorylated in poor responders, whereas PDK1 and glycogen synthase kinase (GSK)-3α/β had lower phosphorylation levels in poor responders. Interestingly GSK-3α/β, β-catenin, and PDK1 are all present in the phosphatidylinositol-3-kinase (PI3K)-AKT signaling pathway.

CONCLUSIONS

Based on our results, we hypothesize that the activating state of the PI3K-AKT pathway can stratify patients who could benefit most from neoadjuvant treatment. Moreover, identification of theranostic targets has the potential to pinpoint new therapeutic strategies for the nonresponsive population.

摘要

背景

目前,对于接受放化疗的直肠癌患者,尚无可靠的技术可预测临床或病理完全肿瘤缓解。我们应用反相蛋白微阵列(RPMA)技术寻找可能预测术前治疗反应的信号通路。

患者和方法

术前 RCT 期间收集了 15 例直肠癌样本。7 例患者对术前治疗反应良好(Mandard 分级 I-II),8 例患者反应不佳(Mandard 分级 III-V)。采用激光捕获显微切割(LCM)和 RPMA 分析,我们测量了近 80 个终点的磷酸化水平并分析了信号通路。

结果

我们发现 4 种信号蛋白的磷酸化水平在反应良好和反应不佳的患者之间存在显著差异(P<0.05);反应不佳者的 CHK2 和β-连环蛋白磷酸化水平更高,而 PDK1 和糖原合酶激酶(GSK)-3α/β在反应不佳者中的磷酸化水平较低。有趣的是,GSK-3α/β、β-连环蛋白和 PDK1 均存在于磷脂酰肌醇-3-激酶(PI3K)-AKT 信号通路中。

结论

基于我们的结果,我们假设 PI3K-AKT 通路的激活状态可以分层出最受益于新辅助治疗的患者。此外,鉴定治疗靶点有可能为无反应人群指明新的治疗策略。

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