Literature DB >> 17638873

Gene expression profiling of liposarcoma identifies distinct biological types/subtypes and potential therapeutic targets in well-differentiated and dedifferentiated liposarcoma.

Samuel Singer1, Nicholas D Socci, Grazia Ambrosini, Elliot Sambol, Penelope Decarolis, Yuhsin Wu, Rachael O'Connor, Robert Maki, Agnes Viale, Chris Sander, Gary K Schwartz, Cristina R Antonescu.   

Abstract

Classification of liposarcoma into three biological types encompassing five subtypes, (a) well-differentiated/dedifferentiated, (b) myxoid/round cell, and (c) pleomorphic, based on morphologic features and cytogenetic aberrations, is widely accepted. However, diagnostic discordance remains even among expert sarcoma pathologists. We sought to develop a more systematic approach to liposarcoma classification based on gene expression analysis and to identify subtype-specific differentially expressed genes that may be involved in liposarcoma genesis/progression and serve as potential therapeutic targets. A classifier based on gene expression profiling was able to distinguish between liposarcoma subtypes, lipoma, and normal fat samples. A 142-gene predictor of tissue class was derived to automatically determine the class of an independent validation set of lipomatous samples and shows the feasibility of liposarcoma classification based entirely on gene expression monitoring. Differentially expressed genes for each liposarcoma subtype compared with normal fat were used to identify histology-specific candidate genes with an in-depth analysis of signaling pathways important to liposarcoma pathogenesis and progression in the well-differentiated/dedifferentiated subset. The activation of cell cycle and checkpoint pathways in well-differentiated/dedifferentiated liposarcoma provides several possible novel therapeutic strategies with MDM2 serving as a particularly promising target. We show that Nutlin-3a, an antagonist of MDM2, preferentially induces apoptosis and growth arrest in dedifferentiated liposarcoma cells compared with normal adipocytes. These results support the development of a clinical trial with MDM2 antagonists for liposarcoma subtypes which overexpress MDM2 and show the promise of using this expression dataset for new drug discovery in liposarcoma.

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Year:  2007        PMID: 17638873     DOI: 10.1158/0008-5472.CAN-07-0584

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  92 in total

Review 1.  [Sarcoma gene signatures].

Authors:  F Chibon; J-M Coindre
Journal:  Pathologe       Date:  2011-02       Impact factor: 1.011

Review 2.  Advances in sarcoma genomics and new therapeutic targets.

Authors:  Barry S Taylor; Jordi Barretina; Robert G Maki; Cristina R Antonescu; Samuel Singer; Marc Ladanyi
Journal:  Nat Rev Cancer       Date:  2011-07-14       Impact factor: 60.716

3.  Cyclin-dependent kinase 11 (CDK11) is crucial in the growth of liposarcoma cells.

Authors:  Bin Jia; Edwin Choy; Gregory Cote; David Harmon; Shunan Ye; Quancheng Kan; Henry Mankin; Francis Hornicek; Zhenfeng Duan
Journal:  Cancer Lett       Date:  2013-09-02       Impact factor: 8.679

Review 4.  Role of genetic and molecular profiling in sarcomas.

Authors:  Scott M Norberg; Sujana Movva
Journal:  Curr Treat Options Oncol       Date:  2015-05

5.  Integrin-α10 Dependency Identifies RAC and RICTOR as Therapeutic Targets in High-Grade Myxofibrosarcoma.

Authors:  Tomoyo Okada; Ann Y Lee; Li-Xuan Qin; Narasimhan Agaram; Takahiro Mimae; Yawei Shen; Rachael O'Connor; Miguel A López-Lago; Amanda Craig; Martin L Miller; Phaedra Agius; Evan Molinelli; Nicholas D Socci; Aimee M Crago; Fumi Shima; Chris Sander; Samuel Singer
Journal:  Cancer Discov       Date:  2016-08-30       Impact factor: 39.397

6.  Histology-based Classification Predicts Pattern of Recurrence and Improves Risk Stratification in Primary Retroperitoneal Sarcoma.

Authors:  Marcus C B Tan; Murray F Brennan; Deborah Kuk; Narasimhan P Agaram; Cristina R Antonescu; Li-Xuan Qin; Nicole Moraco; Aimee M Crago; Samuel Singer
Journal:  Ann Surg       Date:  2016-03       Impact factor: 12.969

Review 7.  Gene translocations in musculoskeletal neoplasms.

Authors:  Balaji Krishnan; Gaurav Khanna; Denis Clohisy
Journal:  Clin Orthop Relat Res       Date:  2008-06-20       Impact factor: 4.176

8.  Can HMGI-C be used as an aid with MDM2 and CDK4 to differentiate liposarcoma subtypes from their mimics?

Authors:  Hanan Alshenawy
Journal:  J Cancer Res Clin Oncol       Date:  2013-03-26       Impact factor: 4.553

Review 9.  Genomic characteristics of soft tissue sarcomas.

Authors:  Fredrik Mertens; Ioannis Panagopoulos; Nils Mandahl
Journal:  Virchows Arch       Date:  2009-02-03       Impact factor: 4.064

10.  Added Value of Molecular Biological Analysis in Diagnosis and Clinical Management of Liposarcoma: A 30-Year Single-Institution Experience.

Authors:  Ronald S A de Vreeze; Daphne de Jong; Petra M Nederlof; Aafke Ariaens; Ivon H G Tielen; Luc Frenken; Rick L Haas; Frits van Coevorden
Journal:  Ann Surg Oncol       Date:  2010-03       Impact factor: 5.344

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