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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.
Afiliação
  • Kandhari N; Development and Stem Cells Program, Department of Biochemistry and Molecular Biology, Monash Biomedicine Discovery Institute, Monash University, Melbourne, VIC 3800, Australia.
  • Kraupner-Taylor CA; Development and Stem Cells Program, Department of Biochemistry and Molecular Biology, Monash Biomedicine Discovery Institute, Monash University, Melbourne, VIC 3800, Australia.
  • Harrison PF; Development and Stem Cells Program, Department of Biochemistry and Molecular Biology, Monash Biomedicine Discovery Institute, Monash University, Melbourne, VIC 3800, Australia.
  • Powell DR; Monash Bioinformatics Platform, Monash University, Melbourne, VIC 3800, Australia.
  • Beilharz TH; Monash Bioinformatics Platform, Monash University, Melbourne, VIC 3800, Australia.
Int J Mol Sci ; 22(10)2021 May 18.
Article em En | MEDLINE | ID: mdl-34070203
ABSTRACT
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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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Biomarcadores Tumorais / Regiões 3' não Traduzidas Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Biomarcadores Tumorais / Regiões 3' não Traduzidas Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article