Abstract

BackgroundDedifferentiated liposarcoma (DDLPS), which accounts for an estimated 15–20% of liposarcomas, is a high-grade and aggressive malignant neoplasm, exhibiting a poor response to available therapeutic agents. However, genetic alteration profiles of DDLPS as well as the role of NF1 mutations have not been studied extensively.Case presentationThe current study reports a patient presenting with rapidly growing DDLPS accompanied by multiple lung and pleural metastases, in whom whole-exome sequencing revealed a NF1 truncating mutation of the known pathogenic variant, c.C7486T, p.R2496X, as well as multiple copy number alterations (CNAs), including the well-known 12q13–15 amplification, and multiple chromothripsis events encompassing potential cancer-related genes.ConclusionsOur results suggest that, in addition to the 12q13–15 amplification, NF1 inactivation mutation and other CNAs may contribute to DDLPS tumorigenesis accompanied by aggressive clinical features.

Highlights

  • Dedifferentiated liposarcoma (DDLPS), which accounts for an estimated 15–20% of liposarcomas, is a high-grade and aggressive malignant neoplasm, exhibiting a poor response to available therapeutic agents

  • Discussion and conclusions genetic alteration of NF1 is commonly found in liposarcomas (10–20%) [5, 6], inactivation of NF1 by a mutation or a deletion may contribute to the aggressiveness of liposarcoma [5, 10]

  • Processes associated with the occurrence of NF1 mutations in DDLPS remain unclear

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Summary

Introduction

Dedifferentiated liposarcoma (DDLPS), which accounts for an estimated 15–20% of liposarcomas, is a high-grade and aggressive malignant neoplasm, exhibiting a poor response to available therapeutic agents. MDM4 amplification was observed in 0.6 and 5% of DDLPS cases via the GENIE study [7] and the TCGA study [2], respectively (Fig. S1A). In TCGA soft tissue sarcoma project (N = 265) in cBioPortal database, patients carrying NF1 truncating or missense mutations showed significantly lower NF1 mRNA expression levels than

Results
Conclusion

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