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Published in: Journal of Translational Medicine 1/2019

Open Access 01-12-2019 | Solid Tumor | Research

Two precision medicine predictive tools for six malignant solid tumors: from gene-based research to clinical application

Authors: Zhiqiao Zhang, Tingshan He, Liwen Huang, Yanling Ouyang, Jing Li, Yiyan Huang, Peng Wang, Jianqiang Ding

Published in: Journal of Translational Medicine | Issue 1/2019

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Abstract

Background

The current study aimed to construct competing endogenous RNA (ceRNA) regulation network and develop two precision medicine predictive tools for colorectal cancer (CRC).

Methods

Differentially expressed (DE) analyses were performed between CRC tissues and normal tissues. A ceRNA regulation network was constructed based on DElncRNAs, DEmiRNAs, and DEmRNAs.

Results

Fifteen mRNAs (ENDOU, MFN2, FASLG, SHOC2, VEGFA, ZFPM2, HOXC6, KLK10, DDIT4, LPGAT1, BEX4, DENND5B, PHF20L1, HSP90B1, and PSPC1) were identified as prognostic biomarkers for CRC by multivariate Cox regression. Then a Fifteen-mRNA signature was developed to predict overall survival for CRC patients. Concordance indexes were 0.817, 0.838, and 0.825 for 1-, 2- and 3-year overall survival. Patients with high risk scores have worse OS compared with patients with low risk scores.

Conclusion

The current study provided deeper understanding of prognosis-related ceRNA regulatory network for CRC. Two precision medicine predictive tools named Smart Cancer Survival Predictive System and Gene Survival Analysis Screen System were constructed for CRC. These two precision medicine predictive tools can provide valuable precious individual mortality risk prediction before surgery and improve the individualized treatment decision-making.
Appendix
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Metadata
Title
Two precision medicine predictive tools for six malignant solid tumors: from gene-based research to clinical application
Authors
Zhiqiao Zhang
Tingshan He
Liwen Huang
Yanling Ouyang
Jing Li
Yiyan Huang
Peng Wang
Jianqiang Ding
Publication date
01-12-2019
Publisher
BioMed Central
Published in
Journal of Translational Medicine / Issue 1/2019
Electronic ISSN: 1479-5876
DOI
https://doi.org/10.1186/s12967-019-02151-8

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