The Competing Endogenous RNA Network of Hsa-mir-429/SEC23A as a Biomarker Pair of Rhabdoid Tumor

DOI

10.2991/mbdasm-19.2019.42How to use a DOI?

Keywords

target; rhabdoid tumor; ceRNA; survival analysis; clustering analysis

Abstract

In this study, we aim at finding the biomarker and competing endogenous RNA (ceRNA) network analysis of rhabdoid tumor (RT) in kid’s patients based on the RT subproject of the Therapeutically Applicable Research to Generate Effective Treatment (TARGET) kidney project. The differentially expressed genes (DEGs) were screened according to the RNA-seq, miRNA-seq and clinical files downloaded from TARGET website. 533 differentially expressed lncRNAs (DElncRNAs), 86 differentially expressed miRNAs (DEmiRNAs) and 2687 differentially expressed mRNAs (DEmRNAs) were found. In the ceRNA regulatory analysis, 57 DElncRNAs and 14 DEmiRNAs interacted in 223 pairs. And only one of the DEmiRNAs interacted with 4 DEmRNAs. In the clustering analysis of the DEGs, hsa-mir-429 was down-expressed while SEC23A was over-expressed. By using the kaplan-meier method in 5-year survival analysis, the tissues with dys-regulated hsa-mir-429 or SEC23A was in a 10% lower survival rate than the normal expression ones. hsa-mir-429 and SEC23A could be the regulatory biomarker pair of RT.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Jianzhi Deng
AU  - Yuehan Zhou
PY  - 2019/10
DA  - 2019/10
TI  - The Competing Endogenous RNA Network of  Hsa-mir-429/SEC23A as a Biomarker Pair of Rhabdoid Tumor
BT  - Proceedings of the 2019 International Conference on Mathematics, Big Data Analysis and Simulation and Modelling (MBDASM 2019)
PB  - Atlantis Press
SP  - 181
EP  - 184
SN  - 2352-538X
UR  - https://doi.org/10.2991/mbdasm-19.2019.42
DO  - 10.2991/mbdasm-19.2019.42
ID  - Deng2019/10
ER  -