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High Expression of a tRNA(Pro) Derivative Associates with Poor Survival and Independently Predicts Colorectal Cancer Recurrence

Colorectal cancer (CRC) is the second most lethal cause of cancer-related deaths in Europe. Fragments of tRNA(Pro) are conserved among vertebrates, characterized by pleiotropic regulatory functions and have been found to discriminate colorectal tumors from normal colorectal mucosa. In the current st...

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Autores principales: Tsiakanikas, Panagiotis, Adamopoulos, Panagiotis G., Tsirba, Dimitra, Artemaki, Pinelopi I., Papadopoulos, Iordanis N., Kontos, Christos K., Scorilas, Andreas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9138872/
https://www.ncbi.nlm.nih.gov/pubmed/35625858
http://dx.doi.org/10.3390/biomedicines10051120
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author Tsiakanikas, Panagiotis
Adamopoulos, Panagiotis G.
Tsirba, Dimitra
Artemaki, Pinelopi I.
Papadopoulos, Iordanis N.
Kontos, Christos K.
Scorilas, Andreas
author_facet Tsiakanikas, Panagiotis
Adamopoulos, Panagiotis G.
Tsirba, Dimitra
Artemaki, Pinelopi I.
Papadopoulos, Iordanis N.
Kontos, Christos K.
Scorilas, Andreas
author_sort Tsiakanikas, Panagiotis
collection PubMed
description Colorectal cancer (CRC) is the second most lethal cause of cancer-related deaths in Europe. Fragments of tRNA(Pro) are conserved among vertebrates, characterized by pleiotropic regulatory functions and have been found to discriminate colorectal tumors from normal colorectal mucosa. In the current study, we investigated the prognostic utility of 5′-tiRNA-Pro(TGG) levels in CRC. For this purpose, total RNA was extracted from 155 malignant colorectal tumors and 74 adjacent non-cancerous tissue specimens, polyadenylated and reverse-transcribed using an oligo-dT adapter as primer. Real-time quantitative PCR (qPCR) was used to assess the levels of 5′-tiRNA-Pro(TGG). Kaplan-Meier survival analysis demonstrated that high 5′-tiRNA-Pro(TGG) levels predict both poor disease-free survival (DFS) and overall survival (OS) of CRC patients. Of note, high 5′-tiRNA-Pro(TGG) levels retain their unfavorable prognostic value in patients with rectal cancer and/or moderately differentiated CRC (grade II). More importantly, multivariate cox regression analysis highlighted that the overexpression of 5′-tiRNA-Pro(TGG) constitutes an adverse prognostic factor predicting short-term relapse of CRC patients independently of the established prognosticators in CRC. Finally, bioinformatics analysis unveiled a potentially critical role of 5′-tiRNA-Pro(TGG) regarding the maintenance of cellular homeostasis, signaling, cell communication, and cellular motility.
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spelling pubmed-91388722022-05-28 High Expression of a tRNA(Pro) Derivative Associates with Poor Survival and Independently Predicts Colorectal Cancer Recurrence Tsiakanikas, Panagiotis Adamopoulos, Panagiotis G. Tsirba, Dimitra Artemaki, Pinelopi I. Papadopoulos, Iordanis N. Kontos, Christos K. Scorilas, Andreas Biomedicines Article Colorectal cancer (CRC) is the second most lethal cause of cancer-related deaths in Europe. Fragments of tRNA(Pro) are conserved among vertebrates, characterized by pleiotropic regulatory functions and have been found to discriminate colorectal tumors from normal colorectal mucosa. In the current study, we investigated the prognostic utility of 5′-tiRNA-Pro(TGG) levels in CRC. For this purpose, total RNA was extracted from 155 malignant colorectal tumors and 74 adjacent non-cancerous tissue specimens, polyadenylated and reverse-transcribed using an oligo-dT adapter as primer. Real-time quantitative PCR (qPCR) was used to assess the levels of 5′-tiRNA-Pro(TGG). Kaplan-Meier survival analysis demonstrated that high 5′-tiRNA-Pro(TGG) levels predict both poor disease-free survival (DFS) and overall survival (OS) of CRC patients. Of note, high 5′-tiRNA-Pro(TGG) levels retain their unfavorable prognostic value in patients with rectal cancer and/or moderately differentiated CRC (grade II). More importantly, multivariate cox regression analysis highlighted that the overexpression of 5′-tiRNA-Pro(TGG) constitutes an adverse prognostic factor predicting short-term relapse of CRC patients independently of the established prognosticators in CRC. Finally, bioinformatics analysis unveiled a potentially critical role of 5′-tiRNA-Pro(TGG) regarding the maintenance of cellular homeostasis, signaling, cell communication, and cellular motility. MDPI 2022-05-12 /pmc/articles/PMC9138872/ /pubmed/35625858 http://dx.doi.org/10.3390/biomedicines10051120 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Tsiakanikas, Panagiotis
Adamopoulos, Panagiotis G.
Tsirba, Dimitra
Artemaki, Pinelopi I.
Papadopoulos, Iordanis N.
Kontos, Christos K.
Scorilas, Andreas
High Expression of a tRNA(Pro) Derivative Associates with Poor Survival and Independently Predicts Colorectal Cancer Recurrence
title High Expression of a tRNA(Pro) Derivative Associates with Poor Survival and Independently Predicts Colorectal Cancer Recurrence
title_full High Expression of a tRNA(Pro) Derivative Associates with Poor Survival and Independently Predicts Colorectal Cancer Recurrence
title_fullStr High Expression of a tRNA(Pro) Derivative Associates with Poor Survival and Independently Predicts Colorectal Cancer Recurrence
title_full_unstemmed High Expression of a tRNA(Pro) Derivative Associates with Poor Survival and Independently Predicts Colorectal Cancer Recurrence
title_short High Expression of a tRNA(Pro) Derivative Associates with Poor Survival and Independently Predicts Colorectal Cancer Recurrence
title_sort high expression of a trna(pro) derivative associates with poor survival and independently predicts colorectal cancer recurrence
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9138872/
https://www.ncbi.nlm.nih.gov/pubmed/35625858
http://dx.doi.org/10.3390/biomedicines10051120
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