Gene Expression Changes Associated with Dedifferentiation in Liposarcoma Predict Overall Survival

Author:

Shannon Nicholas Brian,Tan Qiu Xuan,Tan Joey Wee-Shan,Hendrikson Josephine,Ng Wai Har,Ng Gillian,Liu Ying,Tan Grace Hwei Ching,Wong Jolene Si Min,Soo Khee Chee,Teo Melissa Ching Ching,Chia Claramae Shulyn,Ong Chin-Ann JohnnyORCID

Abstract

Up to 10% of well-differentiated liposarcoma (WDLS) progress to dedifferentiated liposarcoma (DDLS). We aimed to identify gene expression changes associated with dedifferentiation and whether these were informative of tumour biology of DDLS. We analysed datasets from the Gene Expression Omnibus (GEO, ID = GSE30929) database to identify differentially expressed genes between WDLS (n = 52) and DDLS (n = 39). We validated the signature on whole and laser-capture microdissected samples from patients with tumours consisting of mixed WDLS and DDLS components. A subset of this signature was applied to an independent dataset from The Cancer Genome Atlas (TCGA, n = 58 DDLS) database to segregate samples based on gene expression and compared for recurrence and overall survival (OS). A 15-gene signature consisting of genes with increased expression in DDLS compared to WDLS was generated. This signature segregated WDLS and DDLS samples from patients with mixed component tumours and across multiple recurrences. A further subset of this signature, consisting of five genes (AQP7, ACACB, FZD4, GPD1, LEP), segregated DDLS in a TCGA cohort with a significant difference in OS (p = 0.019) and recurrence-free survival (RFS) (p = 0.061). The five-gene model stratified DDLS into prognostic groups and outperformed clinical factors in existing models in retroperitoneal DDLS.

Funder

NCCS Cancer Fund

National Medical Research Council

Publisher

MDPI AG

Subject

Cancer Research,Oncology

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