Exploration of retinoblastoma pathogenesis with bioinformatics.

ABSTRACT:

Background

Differentially expressed genes (DEGs) from retinoblastoma (RB) tissues play key roles in the progression of RB. However, the role of DEGs in different subtypes and stages of RB has not yet been systematically analyzed.

Methods

In this study, the DEGs for tumor and adjacent from 3 RB data sets GSE24673, GSE97508, and GSE110811 were analyzed with regard to the different subtypes and stages of the disease.

Results

Through comparison with adjacent tissues, a total of 78 upregulated genes and 155 downregulated genes from the RB tissues were identified across the 3 data sets. Gene set enrichment analysis (GSEA) showed that the 3 representative genes CDK1, CDC20, and BUB1, which were all upregulated, could promote the cell cycle in RB. Compare

SUBMITTER: Zhang Y 

PROVIDER: S-EPMC8797805 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature