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Poster display session

3702 - A robust gene signature for the detection of early relapse in stage I-III colon cancer.

Date

09 Sep 2017

Session

Poster display session

Presenters

Weixing Dai

Citation

Annals of Oncology (2017) 28 (suppl_5): v158-v208. 10.1093/annonc/mdx393

Authors

W. Dai, Y. Li, S. Mo, G. Cai

Author affiliations

  • Department Of Colorectal Surgery, Fudan University Shanghai Cancer Center, 200032 - Shanghai/CN
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Resources

Abstract 3702

Background

Almost 40% to 50% of colon cancer relapse emerged within the first year after initial primary resection. We hypothesized that differences in mRNA expression before treatment could identify patients at high risk of early relapse.

Methods

Public microarray datasets of stage I-III colon cancer samples were extracted from Gene Expression Omnibus database. Propensity score matching analysis was performed between patients in early relapse group and long-term survival group from GSE39582 discovery series (N = 386) and internal validation series (N = 111). Linear Models for Microarray data (LIMMA) method were then used to identify the differentially expressed genes (DEGs). We then built an eight-mRNA-signature using Cox regression model. Time-dependent ROC was used to analyze the predictive accuracy of this classifier in both the discovery and internal validation series. The prognostic value of the signature was further externally validated in GSE14333 and GSE33113 datasets.

Results

After DEGs analysis, eight mRNAs were found with more than 1.5 fold changes and P value

Conclusions

We developed a robust mRNA signature consisting of both up- and down-regulated mRNAs that can effectively classify colon cancer patients into groups with low and high risks of early relapse. This mRNA signature may help select high-risk colon cancer patients who deserve more aggressive therapeutic intervention.

Clinical trial identification

Legal entity responsible for the study

Guoxiang Cai

Funding

None

Disclosure

All authors have declared no conflicts of interest.

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