Gene Expression Changes Associated with Dedifferentiation in Liposarcoma Predict Overall Survival.

Area of Science:

• Oncology
• Genomics
• Molecular Biology

Background:

• Well-differentiated liposarcoma (WDLS) can progress to dedifferentiated liposarcoma (DDLS), a more aggressive form.
• Understanding the molecular drivers of dedifferentiation is crucial for improving patient outcomes.

Purpose of the Study:

• To identify gene expression signatures associated with liposarcoma dedifferentiation.
• To determine if these signatures can predict tumor biology, recurrence, and survival in dedifferentiated liposarcoma.

Main Methods:

• Differential gene expression analysis of WDLS and DDLS datasets from Gene Expression Omnibus (GEO).
• Validation of a 15-gene signature in mixed WDLS/DDLS patient samples.
• Application of a five-gene subset to The Cancer Genome Atlas (TCGA) dataset for survival analysis.

Main Results:

• A 15-gene signature with higher expression in DDLS compared to WDLS was identified.
• This signature successfully distinguished WDLS and DDLS components in mixed tumors and across recurrences.
• A five-gene subset (AQP7, ACACB, FZD4, GPD1, LEP) significantly stratified DDLS patients by overall survival (OS) and recurrence-free survival (RFS) in the TCGA cohort.
• The five-gene model demonstrated superior prognostic performance compared to existing clinical factors for retroperitoneal DDLS.

Conclusions:

• Gene expression profiling reveals distinct molecular signatures between WDLS and DDLS.
• A five-gene signature holds significant prognostic value for dedifferentiated liposarcoma, potentially improving risk stratification and guiding treatment decisions.