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Classification based on the combination of molecular and pathologic predictors is superior to molecular
Fangying Xu1, Fenjuan Wang, Meijuan Di
1Department of Pathology, School of Medicine, Zhejiang University, Hangzhou, China.
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
Conclusions:
Classification based on pathologic and immunohistochemical predictors is superior to that based only on molecular predictors on prognosis. Classification based on 5m could identify additional different prognoses in patients with stage II disease.
