The Detection and Bioinformatic Analysis of Alternative 3(′) UTR Isoforms as Potential Cancer Biomarkers

Alternative transcript cleavage and polyadenylation is linked to cancer cell transformation, proliferation and outcome. This has led researchers to develop methods to detect and bioinformatically analyse alternative polyadenylation as potential cancer biomarkers. If incorporated into standard progno...

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Autores principales: Kandhari, Nitika, Kraupner-Taylor, Calvin A., Harrison, Paul F., Powell, David R., Beilharz, Traude H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8158509/
https://www.ncbi.nlm.nih.gov/pubmed/34070203
http://dx.doi.org/10.3390/ijms22105322
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author Kandhari, Nitika
Kraupner-Taylor, Calvin A.
Harrison, Paul F.
Powell, David R.
Beilharz, Traude H.
author_facet Kandhari, Nitika
Kraupner-Taylor, Calvin A.
Harrison, Paul F.
Powell, David R.
Beilharz, Traude H.
author_sort Kandhari, Nitika
collection PubMed
description Alternative transcript cleavage and polyadenylation is linked to cancer cell transformation, proliferation and outcome. This has led researchers to develop methods to detect and bioinformatically analyse alternative polyadenylation as potential cancer biomarkers. If incorporated into standard prognostic measures such as gene expression and clinical parameters, these could advance cancer prognostic testing and possibly guide therapy. In this review, we focus on the existing methodologies, both experimental and computational, that have been applied to support the use of alternative polyadenylation as cancer biomarkers.
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spelling pubmed-81585092021-05-28 The Detection and Bioinformatic Analysis of Alternative 3(′) UTR Isoforms as Potential Cancer Biomarkers Kandhari, Nitika Kraupner-Taylor, Calvin A. Harrison, Paul F. Powell, David R. Beilharz, Traude H. Int J Mol Sci Review Alternative transcript cleavage and polyadenylation is linked to cancer cell transformation, proliferation and outcome. This has led researchers to develop methods to detect and bioinformatically analyse alternative polyadenylation as potential cancer biomarkers. If incorporated into standard prognostic measures such as gene expression and clinical parameters, these could advance cancer prognostic testing and possibly guide therapy. In this review, we focus on the existing methodologies, both experimental and computational, that have been applied to support the use of alternative polyadenylation as cancer biomarkers. MDPI 2021-05-18 /pmc/articles/PMC8158509/ /pubmed/34070203 http://dx.doi.org/10.3390/ijms22105322 Text en © 2021 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 Review
Kandhari, Nitika
Kraupner-Taylor, Calvin A.
Harrison, Paul F.
Powell, David R.
Beilharz, Traude H.
The Detection and Bioinformatic Analysis of Alternative 3(′) UTR Isoforms as Potential Cancer Biomarkers
title The Detection and Bioinformatic Analysis of Alternative 3(′) UTR Isoforms as Potential Cancer Biomarkers
title_full The Detection and Bioinformatic Analysis of Alternative 3(′) UTR Isoforms as Potential Cancer Biomarkers
title_fullStr The Detection and Bioinformatic Analysis of Alternative 3(′) UTR Isoforms as Potential Cancer Biomarkers
title_full_unstemmed The Detection and Bioinformatic Analysis of Alternative 3(′) UTR Isoforms as Potential Cancer Biomarkers
title_short The Detection and Bioinformatic Analysis of Alternative 3(′) UTR Isoforms as Potential Cancer Biomarkers
title_sort detection and bioinformatic analysis of alternative 3(′) utr isoforms as potential cancer biomarkers
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8158509/
https://www.ncbi.nlm.nih.gov/pubmed/34070203
http://dx.doi.org/10.3390/ijms22105322
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