BACKGROUND _ AIMS: Although approximately 50% of @entity2195 @entity14 @entity1 are surgically cured, it is currently not possible to distinguish these @entity1 from those at high risk of recurrence. The recent advent of routine adjuvant chemotherapy for these @entity1 has greatly complicated the identification of new markers predicting the response to surgery, which is now reliant on archived materials. Microarray analysis allows fine @entity5 classification but cannot be used with @entity982 -embedded archival samples. METHODS: We used microarray analysis of a unique set of fresh-frozen @entity5 samples from @entity2195 @entity1 who had surgery as the only form of treatment to identify molecular signatures that characterize @entity5 from @entity1 with good and bad prognosis. RESULTS: Unsupervised hierarchical clustering and a K-nearest neighbors-based classifier identified groups of @entity1 with significantly different survival (P = .019 and P = .0001). Expression profiling outperformed previously reported genetic markers of prognosis such as @entity876 and @entity984 mutational status and allelic imbalance in chromosome 18q, which were of limited prognostic power in this study. Functional categories significantly enriched in gene-expression differences included protein transport and folding. The prognostic potential of the RAS homologue @entity3547 , one of the most differentially expressed genes, was further investigated using immunohistochemistry and a tissue microarray containing 137 independent @entity5 samples. Reduced @entity3547 expression was associated with significantly shorter survival (P = .01). CONCLUSIONS: This study shows that gene-expression profiling of surgical @entity5 samples can predict recurrence in @entity2195 @entity1 . Therefore, this approach could be used to guide decisions concerning the clinical management of these @entity1 .

Gene-expression profiling predicts recurrence in XXXX @entity14 .

@entity1 :: ('9606', 'Species') :: ['patients'] @entity5 :: ('MESH:D009369', 'Disease') :: ["Dukes' C tumor", 'tumor', 'tumors'] @entity984 :: ('3845', 'Gene') :: ['K-RAS'] @entity3547 :: ('387', 'Gene') :: ['RHOA'] @entity876 :: ('7157', 'Gene') :: ['TP53'] @entity982 :: ('MESH:D010232', 'Chemical') :: ['paraffin'] @entity14 :: ('MESH:D015179', 'Disease') :: ['colorectal cancer'] @entity2195 :: ('OMIM:211750', 'Disease') :: ["Dukes' C"]
@entity2195 :: (OMIM:211750,Disease) :: ['Dukes' C']
