Press Release

Abstract

The genomic characteristics of dedifferentiated liposarcoma (DDLPS) that are associated with clinical features remain to be identified. Here, we conduct integrated whole exome and RNA sequencing analysis in 115 DDLPS tumors and perform comparative genomic analysis of well-differentiated and dedifferentiated components from eight DDLPS samples. Several somatic copy-number alterations (SCNAs), including the gain of 12q15, are identified as frequent genomic alterations. CTDSP1/2-DNM3OS fusion genes are identified in a subset of DDLPS tumors. Based on the association of SCNAs with clinical features, the DDLPS tumors are clustered into three groups. This clustering can predict the clinical outcome independently. The comparative analysis between well-differentiated and dedifferentiated components identify two categories of genomic alterations: shared alterations, associated with tumorigenesis, and dedifferentiated-specific alterations, associated with malignant transformation. This large-scale genomic analysis reveals the mechanisms underlying the development and progression of DDLPS and provides insights that could contribute to the refinement of DDLPS management.

Papers

Makoto Hirata, Naofumi Asano, Kotoe Katayama, Akihiko Yoshida, Yusuke Tsuda,Masaya Sekimizu, Sachiyo Mitani, Eisuke Kobayashi, Motokiyo Komiyama, Hiroyuki Fujimoto,Takahiro Goto, Yukihide Iwamoto, Norifumi Naka, Shintaro Iwata, Yoshihiro Nishida, Toru Hiruma, Hiroaki Hiraga, Hirotaka Kawano, Toru Motoi, Yoshinao Oda, Daisuke Matsubara, Masashi Fujita, Tatsuhiro Shibata, Hidewaki Nakagawa, Robert Nakayama, Tadashi Kondo, Seiya Imoto, Satoru Miyano, Akira Kawai, Rui Yamaguchi, Hitoshi Ichikawa, and Koichi Matsuda,

"Integrated exome and RNA sequencing of dedifferentiated liposarcoma",Nature Communications,10.1038/s41467-019-13286-z