Proteogenomic characterization of myxoid liposarcoma reveals molecular features associated with poor prognosis

Abstract We performed the first comprehensive proteogenomic analysis of myxoid liposarcoma using 72 surgically resected tumors. Integrated protein-expression profiling and transcriptome-based immune deconvolution identified macrophage migration inhibitory factor (MIF) as a potential factor associated with tumor-associated macrophage differentiation, and immunohistochemistry confirmed that high MIF expression is significantly associated with poor prognosis. Multi-omics clustering revealed that unfavorable myxoid liposarcoma is characterized by heightened phosphorylation of AKT substrates and global up-regulation of transcriptional and translational programs. In particular, BAD hyper-phosphorylation indicated suppression of apoptosis as a previously unrecognized mechanism of disease aggressiveness. We then tested a clinically available drug that re-activates the apoptotic pathway in a myxoid liposarcoma cell line and observed potent antitumor effects at concentrations achievable in the clinic. These findings nominate MIF as a prognostic biomarker and implicate dysregulated apoptotic signaling as a tractable therapeutic vulnerability in high-risk myxoid liposarcoma, offering new biological insight and a potential targeted treatment strategy for patients with poor-prognosis disease. Implications: Proteogenomic profiling reveals that poor-prognosis myxoid liposarcoma is characterized by MIF-associated macrophage remodeling and suppression of apoptosis through AKT–BAD signaling, identifying apoptotic vulnerability as a potential therapeutic opportunity in high-risk disease.

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Publication Details

Journal
Molecular Cancer Research
Published
2026-11-09
DOI
https://doi.org/10.1158/1541-7786.mcr-26-0262
Primary Topic
Sarcoma Diagnosis and Treatment
Type
article
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article

Proteogenomic characterization of myxoid liposarcoma reveals molecular features associated with poor prognosis

Takashi Kamatani, Kyoko Yamashita, Makiko Yamashita, Shigehisa Kitano et al.
Molecular Cancer Research
Sarcoma Diagnosis and Treatment
article

Proteogenomic characterization of myxoid liposarcoma reveals molecular features associated with poor prognosis

Takashi Kamatani, Kyoko Yamashita, Makiko Yamashita, Shigehisa Kitano, Yuki Funauchi, Koji Ueda, Kengo Takeuchi, Tatsuhiko Tsunoda, Makoto Konishi, Koichi Matsuda, Kiminori Hori, Keisuke Ae
article en

Abstract

Abstract We performed the first comprehensive proteogenomic analysis of myxoid liposarcoma using 72 surgically resected tumors. Integrated protein-expression profiling and transcriptome-based immune deconvolution identified macrophage migration inhibitory factor (MIF) as a potential factor associated with tumor-associated macrophage differentiation, and immunohistochemistry confirmed that high MIF expression is significantly associated with poor prognosis. Multi-omics clustering revealed that unfavorable myxoid liposarcoma is characterized by heightened phosphorylation of AKT substrates and global up-regulation of transcriptional and translational programs. In particular, BAD hyper-phosphorylation indicated suppression of apoptosis as a previously unrecognized mechanism of disease aggressiveness. We then tested a clinically available drug that re-activates the apoptotic pathway in a myxoid liposarcoma cell line and observed potent antitumor effects at concentrations achievable in the clinic. These findings nominate MIF as a prognostic biomarker and implicate dysregulated apoptotic signaling as a tractable therapeutic vulnerability in high-risk myxoid liposarcoma, offering new biological insight and a potential targeted treatment strategy for patients with poor-prognosis disease. Implications: Proteogenomic profiling reveals that poor-prognosis myxoid liposarcoma is characterized by MIF-associated macrophage remodeling and suppression of apoptosis through AKT–BAD signaling, identifying apoptotic vulnerability as a potential therapeutic opportunity in high-risk disease.

Molecular Cancer Research
The Cancer Institute Hospital (JP), Japanese Foundation For Cancer Research (JP), Institute of Science Tokyo (JP), The University of Tokyo (JP)
Sarcoma Diagnosis and Treatment
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