A SMAD4‐modulated gene profile predicts disease‐free survival in stage II and III colorectal cancer. Issue 1 (10th June 2021)

• Record Type: Journal Article
• Authors: Szeglin, Bryan C.; Wu, Chao; Marco, Michael R.; Park, Hyun Sung; Zhang, Zeda; Zhang, Bing; Garcia‐Aguilar, Julio; Beauchamp, R. Daniel; Chen, X. Steven; Smith, J. Joshua
• Is Part Of: Cancer reports. Volume 5:Issue 1(2022)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2021-06-10
• Subjects: cancer biology -- colorectal cancer -- gene expression profile -- SMAD4 -- tumor suppressor genes; Cancer -- Periodicals; 616.994005
• DOI: 10.1002/cnr2.1423
• Languages: English
• ISSNs: 2573-8348

Abstract

Abstract: Background: Colorectal cancer is the second‐leading cause of cancer‐related mortality in the United States and a leading cause of cancer‐related mortality worldwide. Loss of SMAD4, a critical tumor suppressor and the central node of the transforming growth factor‐beta superfamily, is associated with worse outcomes for colorectal cancer patients; however, it is unknown whether an RNA‐based profile associated with SMAD4 expression could be used to better identify high‐risk colorectal cancer patients. Aim: Identify a gene expression‐based SMAD4‐modulated profile and test its association with patient outcome. Methods and results: Using a discovery dataset of 250 colorectal cancer patients, we analyzed expression of BMP/Wnt target genes for association with SMAD4 expression. Promoters of the BMP/Wnt genes were interrogated for SMAD‐binding elements. Fifteen genes were implicated and three tested for modulation by SMAD4 in patient‐derived colorectal cancer tumoroids. Expression of the 15 genes was used for unsupervised hierarchical clustering of a training dataset and two resulting clusters modeled in a centroid model. This model was applied to an independent validation dataset of stage II and III patients. Disease‐free survival was analyzed by the Kaplan‐Meier method. In vitro analysis of three genes identified in the SMAD4‐modulated profile (JAG1, TCF7, and MYC) revealed modulation by SMAD4 consistent with the trend observed in the profile. In the training dataset ( n = 553), the profile was not associated with outcome. However, among stage II and III patients ( n = 461), distinct clusters were identified by unsupervised hierarchical clustering that were associated with disease‐free survival ( p = .02, log‐rank test). The main model was applied to a validation dataset of stage II/III CRC patients ( n = 257) which confirmed the association of clustering with disease‐free survival ( p = .013, log‐rank test). Conclusions: A SMAD4‐modulated gene expression profile identified high‐risk stage II and III colorectal cancer patients, can predict disease‐free survival, and has prognostic potential for stage II and III colorectal cancer patients.