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Molecular profiles and clinical outcome of stage UICC II colon cancer patients.

机译:UICC II期结肠癌患者的分子概况和临床结果。

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PURPOSE: Published multigene classifiers suggesting outcome prediction for patients with stage UICC II colon cancer have not been translated into a clinical application so far. Therefore, we aimed at validating own and published gene expression signatures employing methods which enable their reconstruction in routine diagnostic specimens. METHODS: Immunohistochemistry was applied to 68 stage UICC II colon cancers to determine the protein expression of previously published prognostic classifier genes (CDH17, LAT, CA2, EMR3, and TNFRSF11A). RNA from macrodissected tumor samples from 53 of these 68 patients was profiled on Affymetrix GeneChips (HG-U133 Plus 2.0). Prognostic signatures were generated by nearest shrunken centroids signatures were applied to our data set using "global tests" and leave-one-out cross-validation RESULTS: Correlation of protein expression with clinical outcome failed to separate patients with disease-free follow-up (group DF) and relapse (group R). Although gene expression profiling allowed the identification of differentially expressed genes ("DF" vs. "R"), a stable classification/prognosis signature was not discernable. Furthermore, the application of previously published gene signatures to our data was unable to predict clinical outcome (prediction rate 75.5% and 64.2%; n.s.). T-stage was the only independent prognostic factor for relapse with established clinical and pathological parameters including microsatellite status (multivariate analysis). CONCLUSIONS: Our protein and gene expression analyses do not support application of molecular classifiers for prediction of clinical outcome in current routine diagnostic as a basis for patient-orientated therapy in stage UICC II colon cancer. Further studies are needed to develop prognosis signatures applicable in patient care.
机译:目的:已发表的多基因分类器提示UICC II期结肠癌患者的结局预测迄今尚未转化为临床应用。因此,我们旨在采用使它们能够在常规诊断样本中重建的方法,验证自己和已发表的基因表达签名。方法:将免疫组化技术应用于68阶段UICC II结肠癌,以确定先前发表的预后分类基因(CDH17,LAT,CA2,EMR3和TNFRSF11A)的蛋白表达。在Affymetrix GeneChips(HG-U133 Plus 2.0)上分析了来自这68名患者中53名患者的宏观解剖肿瘤样品的RNA。通过使用“全局检验”将最接近的收缩质心签名应用于我们的数据集来产生预后签名,并进行一劳永逸的交叉验证。结果:蛋白表达与临床结果的相关性未能分离出无病随访的患者( DF组)和复发(R组)。尽管基因表达谱分析可以鉴定差异表达的基因(“ DF”与“ R”),但无法辨别稳定的分类/预后特征。此外,先前发表的基因签名在我们的数据中的应用无法预测临床结果(预测率分别为75.5%和64.2%; n.s。)。 T期是唯一具有确定的临床和病理学参数(包括微卫星状态(多变量分析))的复发独立预后因素。结论:我们的蛋白质和基因表达分析不支持分子分类器在目前的常规诊断中作为临床预测以UICC II期结肠癌患者为基础的治疗方法的基础。需要进一步的研究来开发适用于患者护理的预后标志。

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