Analysis of Competing Endogenous RNA Network and Prediction of Prognosis in Acute Lymphoblastic Leukemia Patients of Phase II and III

DOI

10.2991/msbda-19.2019.46How to use a DOI?

Keywords

TARGET, Acute lymphoblastic leukemia, ceRNA, COX model, ROC, Medical big data, Progressive biomarker

Abstract

In this paper, we focused on the competing endogenous RNA (ceRNA) of lncRNA-mRNA-miRNA regulatory network and the target mRNAs as biomarker predicting progression of acute lymphoblastic leukemia (ALL) based on the Therapeutically Applicable Research to Generate Effective Treatment (TARGET) database. By screening the RNA-seq, 112 differentially expressed lncRNAs (DElncRNAs), 73 differentially expressed miRNAs (DEmiRNAs) and and 204 differentially expressed mRNAs (DEmRNAs) were found by edgeR package (adjusted P-value < 0.01 and |LogFoldChange| > 4). Among then, the regulatory of 12 DElncRNAs, 5 DEmRNAs and 15 DEmiRNAs was found for the construction of the ceRNA network. 3 DEmRNAs in the ceRNA network, PRKAA2, FOXF2 and TFAP2C, constructed a COX model for the progressive prediction of ALL and was verified by the receiver operating characteristic (ROC) curve, area under the ROC curve (AUC) and kaplan-meier survival curve in a 5-year analysis.

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  - Xiaohui Cheng
AU  - Yuehan Zhou
PY  - 2019/08
DA  - 2019/08
TI  - Analysis of Competing Endogenous RNA Network and Prediction of Prognosis in Acute Lymphoblastic Leukemia Patients of Phase II and III
BT  - Proceedings of the 2019 International Conference on Modeling, Simulation and Big Data Analysis (MSBDA 2019)
PB  - Atlantis Press
SP  - 300
EP  - 304
SN  - 2352-538X
UR  - https://doi.org/10.2991/msbda-19.2019.46
DO  - 10.2991/msbda-19.2019.46
ID  - Deng2019/08
ER  -