Literature DB >> 34661810

Comparative expression analysis of tRF-3001a and tRF-1003 with corresponding miRNAs (miR-1260a and miR-4521) and their network analysis with breast cancer biomarkers.

Shaharbhanu A Hussain1, Kunhi Valappil Deepak1, Dechamma Pandyanda Nanjappa2, Viswanath Sherigar3, Neetha Nandan4, Padmanaban S Suresh5, Thejaswini Venkatesh6.   

Abstract

BACKGROUND: MicroRNAs and tRFs (tRNA-derived fragments) are small non-coding RNAs that are promising breast cancer (BC) biomarkers. miRNA sequences are found within tRFs. For example, miR-1260a and miR-4521 sequences are found within tRF-3001a and tRF-1003, respectively. No study has addressed the biomarker potential of these tRF-miRNA pairs in BC or their association with other BC miRNA biomarkers. METHODS AND
RESULTS: Real-time PCR was performed to examine the expression of miR-1260a-tRF-3001a and miR-4521-tRF-1003 pairs in plasma of BC patients. miR-4521 and miR-1260a showed no change in plasma of breast cancer patients (n = 19). On the contrary, both the corresponding tRFs (tRF-1003 and tRF-3001a) were down-regulated. Also, we performed miRNA/mRNA network analysis for miR-1260a and miR-4521 with top degree BC biomarkers miR-16-5p and miR-93-5p. We found that they shared nine target genes. Moreover, miR-16-5p was down-regulated, and miR-93-5p was up-regulated in the same sample set. Survival analysis plotted using clinical data from Kaplan-Meier Plotter showed that all four miRNAs and 8/9 target gene expressions could predict the survival of BC patients.
CONCLUSIONS: Our cohort analyses suggest that tRF-3001a and tRF-1003 serve as better biomarkers than their miRNA counterparts in addition to miR-93-5p and miR-16-5p. Also, they form a significant miRNA/mRNA biomarker cluster.
© 2021. The Author(s), under exclusive licence to Springer Nature B.V.

Entities:  

Keywords:  Breast cancer; miRNA; tRNA derived fragments

Mesh:

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Year:  2021        PMID: 34661810     DOI: 10.1007/s11033-021-06732-z

Source DB:  PubMed          Journal:  Mol Biol Rep        ISSN: 0301-4851            Impact factor:   2.316


  29 in total

Review 1.  Regulatory RNAs derived from transfer RNA?

Authors:  Thoru Pederson
Journal:  RNA       Date:  2010-08-18       Impact factor: 4.942

Review 2.  tRFs: miRNAs in disguise.

Authors:  Thejaswini Venkatesh; Padmanaban S Suresh; Rie Tsutsumi
Journal:  Gene       Date:  2015-12-29       Impact factor: 3.688

3.  A novel class of small RNAs: tRNA-derived RNA fragments (tRFs).

Authors:  Yong Sun Lee; Yoshiyuki Shibata; Ankit Malhotra; Anindya Dutta
Journal:  Genes Dev       Date:  2009-11-15       Impact factor: 11.361

4.  tRNA-derived microRNA modulates proliferation and the DNA damage response and is down-regulated in B cell lymphoma.

Authors:  Roy L Maute; Christof Schneider; Pavel Sumazin; Antony Holmes; Andrea Califano; Katia Basso; Riccardo Dalla-Favera
Journal:  Proc Natl Acad Sci U S A       Date:  2013-01-07       Impact factor: 11.205

5.  MicroRNA gene expression deregulation in human breast cancer.

Authors:  Marilena V Iorio; Manuela Ferracin; Chang-Gong Liu; Angelo Veronese; Riccardo Spizzo; Silvia Sabbioni; Eros Magri; Massimo Pedriali; Muller Fabbri; Manuela Campiglio; Sylvie Ménard; Juan P Palazzo; Anne Rosenberg; Piero Musiani; Stefano Volinia; Italo Nenci; George A Calin; Patrizia Querzoli; Massimo Negrini; Carlo M Croce
Journal:  Cancer Res       Date:  2005-08-15       Impact factor: 12.701

6.  Deep sequencing of human nuclear and cytoplasmic small RNAs reveals an unexpectedly complex subcellular distribution of miRNAs and tRNA 3' trailers.

Authors:  Jian-You Liao; Li-Ming Ma; Yan-Hua Guo; Yu-Chan Zhang; Hui Zhou; Peng Shao; Yue-Qin Chen; Liang-Hu Qu
Journal:  PLoS One       Date:  2010-05-14       Impact factor: 3.240

Review 7.  Biogenesis and Function of Transfer RNA-Related Fragments (tRFs).

Authors:  Pankaj Kumar; Canan Kuscu; Anindya Dutta
Journal:  Trends Biochem Sci       Date:  2016-06-01       Impact factor: 13.807

8.  tRNA fragments (tRFs) guide Ago to regulate gene expression post-transcriptionally in a Dicer-independent manner.

Authors:  Canan Kuscu; Pankaj Kumar; Manjari Kiran; Zhangli Su; Asrar Malik; Anindya Dutta
Journal:  RNA       Date:  2018-05-29       Impact factor: 4.942

9.  Angiogenin cleaves tRNA and promotes stress-induced translational repression.

Authors:  Satoshi Yamasaki; Pavel Ivanov; Guo-Fu Hu; Paul Anderson
Journal:  J Cell Biol       Date:  2009-03-30       Impact factor: 10.539

10.  miRBase: annotating high confidence microRNAs using deep sequencing data.

Authors:  Ana Kozomara; Sam Griffiths-Jones
Journal:  Nucleic Acids Res       Date:  2013-11-25       Impact factor: 16.971

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  1 in total

Review 1.  miR-199a: A Tumor Suppressor with Noncoding RNA Network and Therapeutic Candidate in Lung Cancer.

Authors:  Wei Meng; Yanli Li; Binshu Chai; Xiaomin Liu; Zhongliang Ma
Journal:  Int J Mol Sci       Date:  2022-07-31       Impact factor: 6.208

  1 in total

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