Department of Pathophysiology, University of Tartu, 19 Ravila Street, Tartu, 50411, Estonia.
Department of Reproductive Biology, Estonian University of Life Sciences, 64 Kreutzwaldi Street, Tartu, Estonia.
Hum Genomics. 2014 Dec 11;8(1):20. doi: 10.1186/s40246-014-0020-0.
Osteosarcoma (OS) is a prevalent primary malignant bone tumour with unknown etiology. These highly metastasizing tumours are among the most frequent causes of cancer-related deaths. Thus, there is an urgent need for different markers, and with our study, we were aiming towards finding novel biomarkers for OS.
For that, we analysed the whole exome of the tumorous and non-tumour bone tissue from the same patient with OS applying next-generation sequencing. For data analysis, we used several softwares and combined the exome data with RNA-seq data from our previous study.
In the tumour exome, we found wide genomic rearrangements, which should qualify as chromotripsis-we detected almost 3,000 somatic single nucleotide variants (SNVs) and small indels and more than 2,000 copy number variants (CNVs) in different chromosomes. Furthermore, the somatic changes seem to be associated to bone tumours, whereas germline mutations to cancer in general. We confirmed the previous findings that the most significant pathway involved in OS pathogenesis is probably the WNT/β-catenin signalling pathway. Also, the IGF1/IGF2 and IGF1R homodimer signalling and TP53 (including downstream tumour suppressor gene EI24) pathways may have a role. Additionally, the mucin family genes, especially MUC4 and cell cycle controlling gene CDC27 may be considered as potential biomarkers for OS.
The genes, in which the mutations were detected, may be considered as targets for finding biomarkers for OS. As the study is based on a single case and only DNA and RNA analysis, further confirmative studies are required.
骨肉瘤(OS)是一种常见的原发性恶性骨肿瘤,其病因不明。这些具有高度转移性的肿瘤是癌症相关死亡的最常见原因之一。因此,我们迫切需要寻找不同的标志物,而通过我们的研究,我们旨在为 OS 寻找新的生物标志物。
为此,我们应用下一代测序分析了来自同一 OS 患者的肿瘤和非肿瘤骨组织的全外显子。为了数据分析,我们使用了几种软件,并将外显子数据与我们之前的研究中的 RNA-seq 数据相结合。
在肿瘤外显子中,我们发现了广泛的基因组重排,这应该符合染色体碎裂的标准-我们在不同染色体上检测到近 3000 个体细胞单核苷酸变异(SNVs)和小插入缺失,以及 2000 多个拷贝数变异(CNVs)。此外,体细胞变化似乎与骨肿瘤有关,而种系突变则与癌症有关。我们证实了之前的发现,即涉及 OS 发病机制的最重要途径可能是 WNT/β-catenin 信号通路。此外,IGF1/IGF2 和 IGF1R 同源二聚体信号通路以及 TP53(包括下游肿瘤抑制基因 EI24)通路也可能发挥作用。此外,粘蛋白家族基因,特别是 MUC4 和细胞周期控制基因 CDC27,可被视为 OS 的潜在生物标志物。
检测到突变的基因可以被认为是寻找 OS 生物标志物的靶点。由于该研究基于单个病例且仅进行了 DNA 和 RNA 分析,因此需要进一步的确认性研究。