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

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

Journal Name: Current Genomics

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Abstract:

Background: In recent years, tRFs(transfer RNA-Derived Fragments) and transfer RNA-Derived 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 tRNA-derived 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, 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, tRF-32-Q99P9P9NH57SJ and tRF-17-79MP9PP were significantly down-regulated which the expression patterns were similar to the sequencing results. The top ten significantly results of GO and KEGG pathways enrichment analysis were presented.

Conclusions: 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

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Article Details

(E-pub Ahead of Print)
DOI: 10.2174/1389202920666190326145459
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