Kwon Nam Hoon, Lee Jin Young, Kim Sunghoon
Medicinal Bioconvergence Research Center, Institute for Artificial Intelligence and Biomedical Research, Yonsei University, Incheon, South Korea.
Buck Institute for Research on Aging, Novato, CA, USA.
Adv Exp Med Biol. 2021;1187:121-145. doi: 10.1007/978-981-32-9620-6_6.
Increased proliferation and protein synthesis are characteristics of transformed and tumor cells. Although the components of the translation machinery are often dysregulated in cancer, the role of tRNAs in cancer cells has not been well studied. Nevertheless, the number of related studies has recently started increasing. With the development of high throughput technologies such as next-generation sequencing, genome-wide differential tRNA expression patterns in breast cancer-derived cell lines and breast tumors have been investigated. The genome-wide transcriptomics analyses have been linked with many studies for functional and phenotypic characterization, whereby tRNAs or tRNA-related fragments have been shown to play important roles in breast cancer regulation and as promising prognostic biomarkers. Here, we review their expression patterns, functions, prognostic value, and potential therapeutic use as well as related technologies.
增殖增加和蛋白质合成是转化细胞和肿瘤细胞的特征。尽管翻译机制的组成部分在癌症中常常失调，但tRNA在癌细胞中的作用尚未得到充分研究。然而，最近相关研究的数量开始增加。随着下一代测序等高通量技术的发展，已经对乳腺癌衍生细胞系和乳腺肿瘤中的全基因组差异tRNA表达模式进行了研究。全基因组转录组学分析已与许多功能和表型特征研究相关联，由此表明tRNA或tRNA相关片段在乳腺癌调节中发挥重要作用，并作为有前景的预后生物标志物。在此，我们综述它们的表达模式、功能、预后价值、潜在治疗用途以及相关技术。
