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脂肪肉瘤的基因表达谱分析确定了高分化和去分化脂肪肉瘤中不同的生物学类型/亚型以及潜在的治疗靶点。

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

作者信息

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

机构信息

Sarcoma Biology Laboratory, Sarcoma Disease Management Program, Department of Surgery, Memorial Sloan-Kettering Cancer Center and Genomics Core Facility, Sloan-Kettering Institute, New York, NY 10021, USA.

出版信息

Cancer Res. 2007 Jul 15;67(14):6626-36. doi: 10.1158/0008-5472.CAN-07-0584.

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.

摘要

基于形态学特征和细胞遗传学异常,将脂肪肉瘤分为三种生物学类型,包括五个亚型:(a) 高分化/去分化型,(b) 黏液样/圆形细胞型,(c) 多形性,这种分类已被广泛接受。然而,即使在肉瘤病理专家之间,诊断不一致的情况仍然存在。我们试图基于基因表达分析开发一种更系统的脂肪肉瘤分类方法,并识别可能参与脂肪肉瘤发生/进展且可作为潜在治疗靶点的亚型特异性差异表达基因。基于基因表达谱的分类器能够区分脂肪肉瘤亚型、脂肪瘤和正常脂肪样本。推导了一个由142个基因组成的组织类别预测因子,用于自动确定脂肪瘤样本独立验证集的类别,并显示了完全基于基因表达监测进行脂肪肉瘤分类的可行性。将每种脂肪肉瘤亚型与正常脂肪相比的差异表达基因用于识别组织学特异性候选基因,并深入分析在高分化/去分化亚型中对脂肪肉瘤发病机制和进展重要的信号通路。高分化/去分化脂肪肉瘤中细胞周期和检查点通路的激活提供了几种可能的新型治疗策略,其中MDM2是一个特别有前景的靶点。我们表明,与正常脂肪细胞相比,MDM2拮抗剂Nutlin-3a优先诱导去分化脂肪肉瘤细胞凋亡和生长停滞。这些结果支持针对过表达MDM2的脂肪肉瘤亚型开展MDM2拮抗剂的临床试验,并显示了利用该表达数据集进行脂肪肉瘤新药研发的前景。

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