Classification based on the combination of molecular and pathologic predictors is superior to molecular classification on prognosis in colorectal carcinoma
Classification based on the combination of molecular and pathologic predictors is superior to molecular classification on prognosis in colorectal carcinoma
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DOI：
10.1158/1078-0432.ccr-07-0597
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发表时间：
2007-09-01
影响因子：
11.5
通讯作者：
Lai, MaoDe
中科院分区：
文献类型：
--
作者：
Xu, Fangying;Wang, Fenjuan;Lai, MaoDe
目的：基于分子和病理学预测因子的组合的分类从未使用分层聚类分析进行过。为此，我们确定了预后分类的基础上分子预测，病理和分子预测，并比较各自的预后效果与肿瘤淋巴结转移（TNM）阶段。实验设计：对221例结直肠癌的6个病理学指标（p）和13个免疫组化指标（m）进行分析。采用无监督层次聚类分析对数据进行分组。生存分析采用Kaplan-Meier法、log-rank检验和多因素考克斯比例风险模型。
Purpose: Classification based on a combination of molecular and pathologic predictors had never been done using hierarchical cluster analysis. For this purpose, we identified prognostic classification based on molecular predictors, pathologic and molecular predictors, and compared their respective prognostic efficacy together with that of tumor-node-metastasis (TNM) stage. Moreover, we investigated the prognostic significance of molecular classification in different TNM stage.Experimental Design: Six pathologic predictors (p) and 13 immunohistochemical predictors (m) were investigated in 221 colorectal carcinomas. Unsupervised hierarchical clustering analysis was done to group the data. Survival analysis was done by Kaplan-Meier method and log-rank test, and by multivariate COX proportional hazard model.Results: Six pathologic predictors and four molecular predictors were of significant prognostic value (P