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Large-scale single-cell transcriptomics of osteosarcoma reveals extensive and different heterogeneity in primary tumors versus murine xenograft model.

机译:与鼠异种移植模型相比,骨肉瘤的大规模单细胞转录组学揭示了原发性肿瘤中广泛且不同的异质性。

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摘要

Heterogeneity within tumors has long been studied as a potential confounding factor for effective therapies, with recent studies pointing to heterogeneity resulting in distinct clonal subtypes, each with varying degrees of fitness and metastatic potential. Studies of heterogeneity have previously been limited to microscopy observations, immunohistochemistry, and flow cytometry. Recently, however, it has become possible to examine heterogeneity at a previously unexplored level: the transcriptome of individual cells.;Osteosarcomas have been known to be highly heterogeneous, so we have selected osteosarcoma as our primary tumor to study as a proof-of-concept. Additionally, we have elected to create a murine patient derived xenograft (PDX) model from a primary osteosarcoma tumor and examine differences between the primary tumor and resulting xenograft at the single-cell level. Through this, we hope to better understand tumor heterogeneity and add to the current discussion in the scientific community regarding the relevance of PDX models for testing promising new therapies and personalized medicine.;Through our examination of single-cell heterogeneity in osteosarcomas, we have confirmed the extensive heterogeneity previously reported, but this time at the level of mRNA. The osteosarcomas were so hetereogeneous that our resulting dataset of over 1,000 cells still did not have enough resolution to generate highly differentiated and separate groupings of cells. Upon examining inter-tumor heterogeneity, we observed the cells from different tumors to generally cluster separately. However, there were certain populations of cells from all tumors that clustered together. We also generated a PDX model and sequenced the resulting tumor, observing markedly reduced heterogeneity as compared to the original primary tumor. Importantly, the cells from the PDX model clustered within the larger group of cells from the original tumor, lending credence to the theory of clonal selection.;This work presents evidence of extensive intra- and inter-tumor heterogeneity at the mRNA level within osteosarcoma tumors. This heterogeneity requires further single cell sampling to shed light on the biology of tumor diversity. Further, this heterogeneity is significantly reduced in a generated murine PDX model. This difference should serve as a potential warning about additional factors to take into account when evaluating therapies in PDX models, and suggests that further studies examining cause and effect of this observed heterogeneity are warranted.
机译:长期以来,人们一直将肿瘤的异质性作为有效疗法的潜在混杂因素,最近的研究指出异质性会导致不同的克隆亚型,每种亚型都有不同程度的适应性和转移潜力。以前,异质性研究仅限于显微镜观察,免疫组织化学和流式细胞术。然而,最近,在以前未曾探索过的水平上检查异质性成为可能:单个细胞的转录组。骨肉瘤众所周知是高度异质的,因此我们选择骨肉瘤作为我们的主要肿瘤作为证据来研究概念。另外,我们选择从原发性骨肉瘤肿瘤中创建鼠源性异种移植(PDX)模型,并在单细胞水平上检查原发性肿瘤与所得异种移植之间的差异。这样,我们希望能够更好地理解肿瘤的异质性,并在科学界中增加有关PDX模型与测试有前景的新疗法和个性化药物相关性的当前讨论。通过对骨肉瘤中单细胞异质性的检查,我们已经确认先前曾报道过广泛的异质性,但这次是在mRNA水平上。骨肉瘤是如此异质,以至于我们得到的超过1,000个细胞的数据集仍然没有足够的分辨率来生成高度分化和分离的细胞群。通过检查肿瘤间的异质性,我们观察到了来自不同肿瘤的细胞通常分别聚集。但是,来自所有肿瘤的某些细胞群聚集在一起。我们还生成了PDX模型并对所得肿瘤进行了测序,观察到与原始原发肿瘤相比异质性明显降低。重要的是,PDX模型中的细胞聚集在原始肿瘤的较大细胞群中,这为克隆选择理论提供了依据;这项工作为骨肉瘤肿瘤中的mRNA水平提供了广泛的肿瘤内和肿瘤间异质性的证据。 。这种异质性需要进一步的单细胞采样以阐明肿瘤多样性的生物学特性。此外,在产生的鼠PDX模型中这种异质性显着降低。这种差异应作为潜在的警告,提示在评估PDX模型中的疗法时要考虑的其他因素,并建议进行进一步研究以检查这种观察到的异质性的因果关系。

著录项

  • 作者

    Halvorsen, Stefan.;

  • 作者单位

    Boston University.;

  • 授予单位 Boston University.;
  • 学科 Cellular biology.;Genetics.;Bioinformatics.
  • 学位 M.S.
  • 年度 2016
  • 页码 101 p.
  • 总页数 101
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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