microRNA expression patterns across seven cancers are highly correlated and dominated by evolutionarily ancient families.
microRNA expression patterns across seven cancers are highly correlated and dominated by evolutionarily ancient families.
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DOI：
10.3892/br.2014.239
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发表时间：
2014-05
影响因子：
2.3
通讯作者：
Leslie KK
中科院分区：
文献类型：
--
作者：
Devor EJ;Schickling BM;Leslie KK
microRNA (miRNA) 参与几乎所有正常和致病的真核细胞过程。 miRNA 影响最显着的领域之一是癌症。大量表达调查和更有针对性的研究揭示了 miRNA 参与癌发生、细胞病理学、细胞行为和预后。以前不可能对各种类型的癌症中的 miRNA 表达进行大规模比较。然而，癌症基因组图谱 (TCGA) 是一项广泛的多中心工作，旨在描述数百种癌症的基因组特征，使得这种比较成为可能。本研究分析了子宫体腺癌、卵巢浆液性腺癌、乳腺癌、前列腺癌、胰腺腺癌、结直肠腺癌和肺腺癌等七种癌症的数千种肿瘤中数百种miRNA的表达模式。结果表明，这些癌症类型之间的 miRNA 表达模式高度相关（0.874>ρ>0.974），并且所有七种癌症类型中的 miRNA 表达均以属于进化上最古老的 miRNA 家族的 miRNA 为主。这提出了更古老的 miRNA 参与肿瘤进化核心的基本细胞过程的可能性。
microRNAs (miRNAs) are involved in almost all normal and pathogenic eukaryotic cell processes. One area in which the influence of miRNAs is most prominent is cancer. Numerous expression surveys and more focused studies have revealed miRNA involvement in carcinogenesis, cellular pathology, cell behavior and prognosis. Large-scale comparisons of miRNA expression in varioius types of cancer have not been previously possible. However, The Cancer Genome Atlas (TCGA), an extensive multi-centered effort to characterize the genomes of hundreds of types of cancer, has enabled such comparisons. In the present study, the expression patterns of hundreds of miRNAs in thousands of tumors covering seven types of cancer: uterine corpus adenocarcinoma, ovarian serous adenocarcinoma, breast adenocarcinoma, prostate adenocarcinoma, pancreatic adenocarcinoma, colorectal adenocarcinoma, and lung adenocarcinoma were analyzed. The results showed that miRNA expression patterns among these cancer types are highly correlated (0.874>ρ>0.974) and that miRNA expression in all seven cancer types is dominated by miRNAs belonging to the most evolutionarily ancient miRNA families. This raises the possibility that more ancient miRNAs are involved in the fundamental cell processes that are central to tumor evolution.