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MicroRNAs in Pancreatic Cancer: biomarkers, prognostic, and therapeutic modulators
ABSTRACT: A severe lack of early diagnosis coupled with resistance to most available therapeutic options renders pancreatic cancer as a major clinical concern. The limited efficacy of current treatments necessitates the development of novel therapeutic strategies that are based on an understanding o...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6868851/ https://www.ncbi.nlm.nih.gov/pubmed/31752758 http://dx.doi.org/10.1186/s12885-019-6284-y |
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author | Daoud, Afra Z. Mulholland, Eoghan J. Cole, Grace McCarthy, Helen O. |
author_facet | Daoud, Afra Z. Mulholland, Eoghan J. Cole, Grace McCarthy, Helen O. |
author_sort | Daoud, Afra Z. |
collection | PubMed |
description | ABSTRACT: A severe lack of early diagnosis coupled with resistance to most available therapeutic options renders pancreatic cancer as a major clinical concern. The limited efficacy of current treatments necessitates the development of novel therapeutic strategies that are based on an understanding of the molecular mechanisms involved in pancreatic cancer progression. MicroRNAs (miRNAs) are non-coding small RNAs that regulate the expression of multiple proteins in the post-translation process and thus have promise as biomarkers, prognostic agents, and as advanced pancreatic therapies. Profiling of deregulated miRNAs in pancreatic cancer can correlate to diagnosis, indicate optimal treatment and predict response to therapy. Furthermore, understanding the main effector genes in pancreatic cancer along with downstream pathways can identify possible miRNAs as therapeutic candidates. Additionally, obstacles to the translation of miRNAs into the clinic are also considered. Distinct miRNA expression profiles can correlate to stages of malignant pancreatic disease, and hold potential as biomarkers, prognostic markers and clinical targets. However, a limited understanding and validation of the specific role of such miRNAs stunts clinical application. Target prediction using algorithms provides a wide range of possible targets, but these miRNAs still require validation through pre-clinical studies to determine the knock-on genetic effects. GRAPHICAL ABSTRACT: [Image: see text] |
format | Online Article Text |
id | pubmed-6868851 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-68688512019-12-12 MicroRNAs in Pancreatic Cancer: biomarkers, prognostic, and therapeutic modulators Daoud, Afra Z. Mulholland, Eoghan J. Cole, Grace McCarthy, Helen O. BMC Cancer Debate ABSTRACT: A severe lack of early diagnosis coupled with resistance to most available therapeutic options renders pancreatic cancer as a major clinical concern. The limited efficacy of current treatments necessitates the development of novel therapeutic strategies that are based on an understanding of the molecular mechanisms involved in pancreatic cancer progression. MicroRNAs (miRNAs) are non-coding small RNAs that regulate the expression of multiple proteins in the post-translation process and thus have promise as biomarkers, prognostic agents, and as advanced pancreatic therapies. Profiling of deregulated miRNAs in pancreatic cancer can correlate to diagnosis, indicate optimal treatment and predict response to therapy. Furthermore, understanding the main effector genes in pancreatic cancer along with downstream pathways can identify possible miRNAs as therapeutic candidates. Additionally, obstacles to the translation of miRNAs into the clinic are also considered. Distinct miRNA expression profiles can correlate to stages of malignant pancreatic disease, and hold potential as biomarkers, prognostic markers and clinical targets. However, a limited understanding and validation of the specific role of such miRNAs stunts clinical application. Target prediction using algorithms provides a wide range of possible targets, but these miRNAs still require validation through pre-clinical studies to determine the knock-on genetic effects. GRAPHICAL ABSTRACT: [Image: see text] BioMed Central 2019-11-21 /pmc/articles/PMC6868851/ /pubmed/31752758 http://dx.doi.org/10.1186/s12885-019-6284-y Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Debate Daoud, Afra Z. Mulholland, Eoghan J. Cole, Grace McCarthy, Helen O. MicroRNAs in Pancreatic Cancer: biomarkers, prognostic, and therapeutic modulators |
title | MicroRNAs in Pancreatic Cancer: biomarkers, prognostic, and therapeutic modulators |
title_full | MicroRNAs in Pancreatic Cancer: biomarkers, prognostic, and therapeutic modulators |
title_fullStr | MicroRNAs in Pancreatic Cancer: biomarkers, prognostic, and therapeutic modulators |
title_full_unstemmed | MicroRNAs in Pancreatic Cancer: biomarkers, prognostic, and therapeutic modulators |
title_short | MicroRNAs in Pancreatic Cancer: biomarkers, prognostic, and therapeutic modulators |
title_sort | micrornas in pancreatic cancer: biomarkers, prognostic, and therapeutic modulators |
topic | Debate |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6868851/ https://www.ncbi.nlm.nih.gov/pubmed/31752758 http://dx.doi.org/10.1186/s12885-019-6284-y |
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