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Gene Expression-Based Approaches in Differentiation of Metastases and Second Primary Tumour

机译:基于基因表达的转移和第二原发肿瘤鉴别方法

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摘要

A 64-year-old male patient was diagnosed with 3 consecutive non-small cell lung carcinomas (NSCLC). In the current study, we applied whole-genome gene expression analysis to control, primary and locally recurrent cancer, and supposed metastasis samples of a single patient. According to our knowledge, there are no published papers describing the gene expression profiles of a single patient's squamous cell lung cancers. As the histology and differentiation grade of the primary cancer and the supposed metastasis differed minimally, but local recurrence was poorly differentiated, molecular profiling of the samples was carried out in order to confirm or reject the hypothesis of second primary cancer. Principal component analysis of the gene expression data revealed distinction of the local recurrence. Gene ontology analysis showed no molecular characteristics of metastasis in the supposed metastasis. Gene expression analysis is valuable and can be supportive in decision-making of diagnostically complicated cancer cases.
机译:一名64岁的男性患者被诊断为连续3例非小细胞肺癌(NSCLC)。在当前的研究中,我们将全基因组基因表达分析应用于控制,原发性和局部复发的癌症以及单个患者的假定转移样品。据我们所知,目前还没有公开的论文描述单个患者鳞状细胞癌的基因表达谱。由于原发癌的组织学和分化程度与假定的转移差异不大,但局部复发的分化差,因此对样本进行分子谱分析以证实或拒绝第二原发癌的假设。基因表达数据的主成分分析揭示了局部复发的区别。基因本体分析表明在假定的转移中没有转移的分子特征。基因表达分析是有价值的,并且可以在诊断复杂的癌症病例的决策中提供支持。

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