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Screening and Comprehensive Analysis of Cancer-Associated tRNA-Derived Fragments
tRNA-derived fragments (tRFs) constitute a novel class of small non-coding RNA cleaved from tRNAs. In recent years, researches have shown the regulatory roles of a few tRFs in cancers, illuminating a new direction for tRF-centric cancer researches. Nonetheless, more specific screening of tRFs relate...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8795687/ https://www.ncbi.nlm.nih.gov/pubmed/35095997 http://dx.doi.org/10.3389/fgene.2021.747931 |
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author | Zhou, Yiran Cui, Qinghua Zhou, Yuan |
author_facet | Zhou, Yiran Cui, Qinghua Zhou, Yuan |
author_sort | Zhou, Yiran |
collection | PubMed |
description | tRNA-derived fragments (tRFs) constitute a novel class of small non-coding RNA cleaved from tRNAs. In recent years, researches have shown the regulatory roles of a few tRFs in cancers, illuminating a new direction for tRF-centric cancer researches. Nonetheless, more specific screening of tRFs related to oncogenesis pathways, cancer progression stages and cancer prognosis is continuously demanded to reveal the landscape of the cancer-associated tRFs. In this work, by combining the clinical information recorded in The Cancer Genome Atlas (TCGA) and the tRF expression profiles curated by MINTbase v2.0, we systematically screened 1,516 cancer-associated tRFs (ca-tRFs) across seven cancer types. The ca-tRF set collectively combined the differentially expressed tRFs between cancer samples and control samples, the tRFs significantly correlated with tumor stage and the tRFs significantly correlated with patient survival. By incorporating our previous tRF-target dataset, we found the ca-tRFs tend to target cancer-associated genes and onco-pathways like ATF6-mediated unfolded protein response, angiogenesis, cell cycle process regulation, focal adhesion, PI3K-Akt signaling pathway, cellular senescence and FoxO signaling pathway across multiple cancer types. And cell composition analysis implies that the expressions of ca-tRFs are more likely to be correlated with T-cell infiltration. We also found the ca-tRF expression pattern is informative to prognosis, suggesting plausible tRF-based cancer subtypes. Together, our systematic analysis demonstrates the potentially extensive involvements of tRFs in cancers, and provides a reasonable list of cancer-associated tRFs for further investigations. |
format | Online Article Text |
id | pubmed-8795687 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-87956872022-01-29 Screening and Comprehensive Analysis of Cancer-Associated tRNA-Derived Fragments Zhou, Yiran Cui, Qinghua Zhou, Yuan Front Genet Genetics tRNA-derived fragments (tRFs) constitute a novel class of small non-coding RNA cleaved from tRNAs. In recent years, researches have shown the regulatory roles of a few tRFs in cancers, illuminating a new direction for tRF-centric cancer researches. Nonetheless, more specific screening of tRFs related to oncogenesis pathways, cancer progression stages and cancer prognosis is continuously demanded to reveal the landscape of the cancer-associated tRFs. In this work, by combining the clinical information recorded in The Cancer Genome Atlas (TCGA) and the tRF expression profiles curated by MINTbase v2.0, we systematically screened 1,516 cancer-associated tRFs (ca-tRFs) across seven cancer types. The ca-tRF set collectively combined the differentially expressed tRFs between cancer samples and control samples, the tRFs significantly correlated with tumor stage and the tRFs significantly correlated with patient survival. By incorporating our previous tRF-target dataset, we found the ca-tRFs tend to target cancer-associated genes and onco-pathways like ATF6-mediated unfolded protein response, angiogenesis, cell cycle process regulation, focal adhesion, PI3K-Akt signaling pathway, cellular senescence and FoxO signaling pathway across multiple cancer types. And cell composition analysis implies that the expressions of ca-tRFs are more likely to be correlated with T-cell infiltration. We also found the ca-tRF expression pattern is informative to prognosis, suggesting plausible tRF-based cancer subtypes. Together, our systematic analysis demonstrates the potentially extensive involvements of tRFs in cancers, and provides a reasonable list of cancer-associated tRFs for further investigations. Frontiers Media S.A. 2022-01-14 /pmc/articles/PMC8795687/ /pubmed/35095997 http://dx.doi.org/10.3389/fgene.2021.747931 Text en Copyright © 2022 Zhou, Cui and Zhou. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Genetics Zhou, Yiran Cui, Qinghua Zhou, Yuan Screening and Comprehensive Analysis of Cancer-Associated tRNA-Derived Fragments |
title | Screening and Comprehensive Analysis of Cancer-Associated tRNA-Derived Fragments |
title_full | Screening and Comprehensive Analysis of Cancer-Associated tRNA-Derived Fragments |
title_fullStr | Screening and Comprehensive Analysis of Cancer-Associated tRNA-Derived Fragments |
title_full_unstemmed | Screening and Comprehensive Analysis of Cancer-Associated tRNA-Derived Fragments |
title_short | Screening and Comprehensive Analysis of Cancer-Associated tRNA-Derived Fragments |
title_sort | screening and comprehensive analysis of cancer-associated trna-derived fragments |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8795687/ https://www.ncbi.nlm.nih.gov/pubmed/35095997 http://dx.doi.org/10.3389/fgene.2021.747931 |
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