Identification of key genes and molecular mechanisms associated with dedifferentiated liposarcoma based on bioinformatic methods.

ABSTRACT:

Background

Dedifferentiated liposarcoma (DDLPS) is one of the most deadly types of soft tissue sarcoma. To date, there have been few studies dedicated to elucidating the molecular mechanisms behind the disease; therefore, the molecular mechanisms behind this malignancy remain largely unknown.

Materials and methods

Microarray profiles of 46 DDLPS samples and nine normal fat controls were extracted from Gene Expression Omnibus (GEO). Quality control for these microarray profiles was performed before analysis. Hierarchical clustering and principal component analysis were used to distinguish the general differences in gene expression between DDLPS samples and the normal fat controls. Differentially expressed genes (DEGs) were identified using the Limma package in R. Next, the en

SUBMITTER: Yu H 

PROVIDER: S-EPMC5481278 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature