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...

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Autores principales: Krishnan, Preethi, Ghosh, Sunita, Wang, Bo, Heyns, Mieke, Li, Dongping, Mackey, John R., Kovalchuk, Olga, Damaraju, Sambasivarao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
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.
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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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