肿瘤组织和癌细胞中转录物丰度的对比模式。

Austin L Hughes, Nancy L Glenn
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引用次数: 0

摘要

将卵巢癌、前列腺癌和结肠癌肿瘤与相应癌细胞系的转录本丰度数据进行比较,以评估表达谱的相似性。尽管肿瘤和细胞系中的转录物丰度呈正相关,但就整体表达模式而言存在实质性差异。与肿瘤细胞相比,癌细胞在不同组织类型中表现出更多的转录物丰度变化模式。在卵巢和结肠癌中,癌细胞系显示出比正常组织更高的转录物总体丰度;这种增加在结肠的情况下更为明显。然而,在前列腺中,与正常组织相比,癌细胞系的转录物丰度总体降低。分别应用于每种组织类型的主成分分析表明,大约80%的差异可以用总体表达水平差异来解释,这种差异在正常组织、肿瘤组织和癌细胞系中都保持不变。其余的差异(约20%)可归因于正常组织、肿瘤组织和癌细胞系之间表达模式的差异。在每个数据集和三个数据集共享的转录本组合数据集中,主成分揭示了肿瘤组织和癌细胞系之间表达模式的差异,以及癌细胞系表达模式的共同特征,这些特征与肿瘤组织的表达模式不同,并在不同的组织类型中共享。这些结果表明,在推断体内肿瘤的基因表达时,应谨慎使用癌细胞系的基因表达数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Contrasting patterns of transcript abundance in tumour tissue and cancer cell lines.

Comparison of data on transcript abundance in ovarian, prostate and colon tumours with the corresponding cancer cell lines was used to assess the similarities of expression profiles. Although transcript abundances in tumours and cell lines were positively correlated, there were substantial differences with respect to the overall expression pattern. Compared with tumours, cancer cell lines showed more variable patterns of transcript abundance among tissue types. In the ovary and colon, cancer cell lines showed greater overall transcript abundance than normal tissue; this increase was much more marked in the case of the colon. However, in the prostate, cancer cell lines showed overall reduced transcript abundance when compared with normal tissue. Principal component analyses, applied separately to each tissue type, showed that approximately 80% of the variance was explained by overall expression level differences, which were maintained across normal tissue, tumour tissue and cancer cell lines. The remaining variance ( approximately 20%) could be attributed to contrasts in expression pattern among normal tissue, tumour tissue and cancer cell lines. In each dataset and in a combined dataset of transcripts shared among the three datasets, principal components revealed both contrasts in expression pattern between tumour tissue and cancer cell lines, and common features in the expression pattern of cancer cell lines that were distinct from those of tumour tissue and were shared across the different tissue types. These results imply that data on gene expression in cancer cell lines should be used with caution in inferring gene expression of in vivo tumours.

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