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Current Genomics


ISSN (Print): 1389-2029
ISSN (Online): 1875-5488

Research Article

Identification of tRNA-Derived Fragments Expression Profile in Breast Cancer Tissues

Author(s): Xiaoming Wang, Yining Yang, Xuyan Tan, Xuelian Mao, Da Wei, Yufeng Yao, Pan Jiang, Dongping Mo, Ting Wang and Feng Yan*

Volume 20, Issue 3, 2019

Page: [199 - 213] Pages: 15

DOI: 10.2174/1389202920666190326145459


Background: In recent years, tRFs(transfer RNA-Derived Fragments) and transfer RNADerived Stress-induced RNAs (or tRNA halves) have been shown to have vital roles in cancer biology. We aimed to reveal the expression profile of tRNA-derived fragments in breast cancer tissues in the study, and to explore their potential as biomarkers of breast cancer.

Methods: We characterized the tRNA-derived fragments expression profile from 6 paired clinical breast cancer tissues and adjacent normal samples. Then we selected 6 significantly expressed tRNAderived fragments and screened the genes for validation by using Quantitative Real-time PCR. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes biological pathway were finally analyzed.

Results: We found 30 differentially expressed tRNA-derived fragments across our dataset, out of which 17 were up-regulated, and 13 were down-regulated. Compared with 16 clinical breast cancer tissues and adjacent normal tissues by qPCR, the results demonstrated that tRF-32-Q99P9P9NH57SJ (FC = -2.6476, p = 0.0189), tRF-17-79MP9PP (FC = -4.8984, p = 0.0276) and tRF-32- XSXMSL73VL4YK (FC = 6.5781, p = 0.0226) were significantly expressed in breast cancer tissues (p < 0.001). tRF-32-XSXMSL73VL4YK was significantly up-regulated, and tRF-32- Q99P9P9NH57SJ and tRF-17-79MP9PP were significantly down-regulated in which the expression patterns were similar to the sequencing results. The top ten significant results of GO and KEGG pathways enrichment analysis were presented.

Conclusion: Our studies have demonstrated that there were significantly expressed tRNA-derived fragments in breast cancer tissues. They are hopefully to become biomarkers and would be valuable researches in this area.

Keywords: Breast cancer, tRNA-derived fragments, expression profile, biomarker, genomes, gene ontology.

Graphical Abstract
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