mRNA expression profiles of primary high-grade central osteosarcoma are preserved in cell lines and xenografts.
mRNA expression profiles of primary high-grade central osteosarcoma are preserved in cell lines and xenografts.
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DOI：
10.1186/1755-8794-4-66
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发表时间：
2011-09-20
影响因子：
2.7
通讯作者：
Cleton-Jansen AM
中科院分区：
文献类型：
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作者：
Kuijjer ML;Namløs HM;Hauben EI;Machado I;Kresse SH;Serra M;Llombart-Bosch A;Hogendoorn PC;Meza-Zepeda LA;Myklebost O;Cleton-Jansen AM
传统的高级别骨肉瘤是一种原发性恶性骨肿瘤，最常见于青少年。骨肉瘤患者的生存率在过去25年中没有显著提高。为了提高这种存活率，各种模型系统被用于研究骨肉瘤的发生和测试新的治疗剂。这种模型系统通常由骨肉瘤原发性肿瘤产生，但由于培养或与不同宿主物种的相互作用而经历许多变化，这可能导致原发性肿瘤细胞与来自模型系统的肿瘤细胞之间的基因表达差异。我们的目的是研究骨肉瘤细胞系和异种移植物的基因表达谱是否仍然与原发肿瘤的基因表达谱相当。我们对骨肉瘤活检组织（n = 76）、细胞系（n = 13）和异种移植物（n = 18）进行了全基因组mRNA表达谱分析。骨肉瘤可分为几种组织学亚型，其中成骨细胞型、成软骨细胞型和成纤维细胞型骨肉瘤是最常见的。使用最近的收缩质心分类，我们生成了一个表达特征，可以预测骨肉瘤活检的组织学亚型。该表达特征由编码22个基因的24个探针组成，预测了骨肉瘤活检的组织学亚型，错误分类误差为15%。两种骨肉瘤模型系统（即骨肉瘤细胞系和异种移植物）的组织学亚型预测具有相似的误分类错误率（分别为15%和11%）。基于保存的mRNA表达谱的组织学亚型的特征，我们提出，这些模型系统是代表的原发性肿瘤，它们来自。
Conventional high-grade osteosarcoma is a primary malignant bone tumor, which is most prevalent in adolescence. Survival rates of osteosarcoma patients have not improved significantly in the last 25 years. Aiming to increase this survival rate, a variety of model systems are used to study osteosarcomagenesis and to test new therapeutic agents. Such model systems are typically generated from an osteosarcoma primary tumor, but undergo many changes due to culturing or interactions with a different host species, which may result in differences in gene expression between primary tumor cells, and tumor cells from the model system. We aimed to investigate whether gene expression profiles of osteosarcoma cell lines and xenografts are still comparable to those of the primary tumor. We performed genome-wide mRNA expression profiling on osteosarcoma biopsies (n = 76), cell lines (n = 13), and xenografts (n = 18). Osteosarcoma can be subdivided into several histological subtypes, of which osteoblastic, chondroblastic, and fibroblastic osteosarcoma are the most frequent ones. Using nearest shrunken centroids classification, we generated an expression signature that can predict the histological subtype of osteosarcoma biopsies. The expression signature, which consisted of 24 probes encoding for 22 genes, predicted the histological subtype of osteosarcoma biopsies with a misclassification error of 15%. Histological subtypes of the two osteosarcoma model systems, i.e. osteosarcoma cell lines and xenografts, were predicted with similar misclassification error rates (15% and 11%, respectively). Based on the preservation of mRNA expression profiles that are characteristic for the histological subtype we propose that these model systems are representative for the primary tumor from which they are derived.
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影响因子：
12.3
作者：
Gentleman RC;Carey VJ;Bates DM;Bolstad B;Dettling M;Dudoit S;Ellis B;Gautier L;Ge Y;Gentry J;Hornik K;Hothorn T;Huber W;Iacus S;Irizarry R;Leisch F;Li C;Maechler M;Rossini AJ;Sawitzki G;Smith C;Smyth G;Tierney L;Yang JY;Zhang J
通讯作者：
Zhang J
影响因子：
11.2
作者：
Man, TK;Chintagumpala, M;Lau, CC
通讯作者：
Lau, CC
影响因子：
6.4
作者：
Salas, Sebastien;Jezequel, Pascal;Bouvier, Corinne
通讯作者：
Bouvier, Corinne
影响因子：
--
作者：
Jones KB
通讯作者：
Jones KB
影响因子：
8.8
作者：
通讯作者：
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