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Genome-wide profiling of transfer RNAs and their role as novel prognostic markers for breast cancer
Transfer RNAs (tRNAs, key molecules in protein synthesis) have not been investigated as potential prognostic markers in breast cancer (BC), despite early findings of their dysregulation and diagnostic potential. We aim to comprehensively profile tRNAs from breast tissues and to evaluate their role a...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5015097/ https://www.ncbi.nlm.nih.gov/pubmed/27604545 http://dx.doi.org/10.1038/srep32843 |
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author | Krishnan, Preethi Ghosh, Sunita Wang, Bo Heyns, Mieke Li, Dongping Mackey, John R. Kovalchuk, Olga Damaraju, Sambasivarao |
author_facet | Krishnan, Preethi Ghosh, Sunita Wang, Bo Heyns, Mieke Li, Dongping Mackey, John R. Kovalchuk, Olga Damaraju, Sambasivarao |
author_sort | Krishnan, Preethi |
collection | PubMed |
description | Transfer RNAs (tRNAs, key molecules in protein synthesis) have not been investigated as potential prognostic markers in breast cancer (BC), despite early findings of their dysregulation and diagnostic potential. We aim to comprehensively profile tRNAs from breast tissues and to evaluate their role as prognostic markers (Overall Survival, OS and Recurrence Free Survival, RFS). tRNAs were profiled from 11 normal breast and 104 breast tumor tissues using next generation sequencing. We adopted a Case-control (CC) and Case-Only (CO) association study designs. Risk scores constructed from tRNAs were subjected to univariate and multivariate Cox-proportional hazards regression to investigate their prognostic value. Of the 571 tRNAs profiled, 76 were differentially expressed (DE) and three were significant for OS in the CC approach. We identified an additional 11 tRNAs associated with OS and 14 tRNAs as significant for RFS in the CO approach, indicating that CC alone may not capture all discriminatory tRNAs in prognoses. In both the approaches, the risk scores were significant in the multivariate analysis as independent prognostic factors, and patients belonging to high-risk group were associated with poor prognosis. Our results confirmed global up-regulation of tRNAs in BC and identified tRNAs as potential novel prognostic markers for BC. |
format | Online Article Text |
id | pubmed-5015097 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-50150972016-09-12 Genome-wide profiling of transfer RNAs and their role as novel prognostic markers for breast cancer Krishnan, Preethi Ghosh, Sunita Wang, Bo Heyns, Mieke Li, Dongping Mackey, John R. Kovalchuk, Olga Damaraju, Sambasivarao Sci Rep Article Transfer RNAs (tRNAs, key molecules in protein synthesis) have not been investigated as potential prognostic markers in breast cancer (BC), despite early findings of their dysregulation and diagnostic potential. We aim to comprehensively profile tRNAs from breast tissues and to evaluate their role as prognostic markers (Overall Survival, OS and Recurrence Free Survival, RFS). tRNAs were profiled from 11 normal breast and 104 breast tumor tissues using next generation sequencing. We adopted a Case-control (CC) and Case-Only (CO) association study designs. Risk scores constructed from tRNAs were subjected to univariate and multivariate Cox-proportional hazards regression to investigate their prognostic value. Of the 571 tRNAs profiled, 76 were differentially expressed (DE) and three were significant for OS in the CC approach. We identified an additional 11 tRNAs associated with OS and 14 tRNAs as significant for RFS in the CO approach, indicating that CC alone may not capture all discriminatory tRNAs in prognoses. In both the approaches, the risk scores were significant in the multivariate analysis as independent prognostic factors, and patients belonging to high-risk group were associated with poor prognosis. Our results confirmed global up-regulation of tRNAs in BC and identified tRNAs as potential novel prognostic markers for BC. Nature Publishing Group 2016-09-08 /pmc/articles/PMC5015097/ /pubmed/27604545 http://dx.doi.org/10.1038/srep32843 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Krishnan, Preethi Ghosh, Sunita Wang, Bo Heyns, Mieke Li, Dongping Mackey, John R. Kovalchuk, Olga Damaraju, Sambasivarao Genome-wide profiling of transfer RNAs and their role as novel prognostic markers for breast cancer |
title | Genome-wide profiling of transfer RNAs and their role as novel prognostic markers for breast cancer |
title_full | Genome-wide profiling of transfer RNAs and their role as novel prognostic markers for breast cancer |
title_fullStr | Genome-wide profiling of transfer RNAs and their role as novel prognostic markers for breast cancer |
title_full_unstemmed | Genome-wide profiling of transfer RNAs and their role as novel prognostic markers for breast cancer |
title_short | Genome-wide profiling of transfer RNAs and their role as novel prognostic markers for breast cancer |
title_sort | genome-wide profiling of transfer rnas and their role as novel prognostic markers for breast cancer |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5015097/ https://www.ncbi.nlm.nih.gov/pubmed/27604545 http://dx.doi.org/10.1038/srep32843 |
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