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Genetic Alterations Featuring Biological Models to Tailor Clinical Management of Pancreatic Cancer Patients

Pancreatic ductal adenocarcinoma (PDAC) is the fourth leading cause of cancer-related death worldwide. This high mortality rate is due to the disease’s lack of symptoms, resulting in a late diagnosis. Biomarkers and treatment options for pancreatic cancer are also limited. In order to overcome this,...

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Autores principales: Nelson, Shannon R., Walsh, Naomi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7281628/
https://www.ncbi.nlm.nih.gov/pubmed/32423157
http://dx.doi.org/10.3390/cancers12051233
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author Nelson, Shannon R.
Walsh, Naomi
author_facet Nelson, Shannon R.
Walsh, Naomi
author_sort Nelson, Shannon R.
collection PubMed
description Pancreatic ductal adenocarcinoma (PDAC) is the fourth leading cause of cancer-related death worldwide. This high mortality rate is due to the disease’s lack of symptoms, resulting in a late diagnosis. Biomarkers and treatment options for pancreatic cancer are also limited. In order to overcome this, new research models and novel approaches to discovering PDAC biomarkers are required. In this review, we outline the hereditary and somatic causes of PDAC and provide an overview of the recent genome wide association studies (GWAS) and pathway analysis studies. We also provide a summary of some of the systems used to study PDAC, including established and primary cell lines, patient-derived xenografts (PDX), and newer models such as organoids and organ-on-chip. These ex vitro laboratory systems allow for critical research into the development and progression of PDAC.
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spelling pubmed-72816282020-06-17 Genetic Alterations Featuring Biological Models to Tailor Clinical Management of Pancreatic Cancer Patients Nelson, Shannon R. Walsh, Naomi Cancers (Basel) Review Pancreatic ductal adenocarcinoma (PDAC) is the fourth leading cause of cancer-related death worldwide. This high mortality rate is due to the disease’s lack of symptoms, resulting in a late diagnosis. Biomarkers and treatment options for pancreatic cancer are also limited. In order to overcome this, new research models and novel approaches to discovering PDAC biomarkers are required. In this review, we outline the hereditary and somatic causes of PDAC and provide an overview of the recent genome wide association studies (GWAS) and pathway analysis studies. We also provide a summary of some of the systems used to study PDAC, including established and primary cell lines, patient-derived xenografts (PDX), and newer models such as organoids and organ-on-chip. These ex vitro laboratory systems allow for critical research into the development and progression of PDAC. MDPI 2020-05-14 /pmc/articles/PMC7281628/ /pubmed/32423157 http://dx.doi.org/10.3390/cancers12051233 Text en © 2020 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Nelson, Shannon R.
Walsh, Naomi
Genetic Alterations Featuring Biological Models to Tailor Clinical Management of Pancreatic Cancer Patients
title Genetic Alterations Featuring Biological Models to Tailor Clinical Management of Pancreatic Cancer Patients
title_full Genetic Alterations Featuring Biological Models to Tailor Clinical Management of Pancreatic Cancer Patients
title_fullStr Genetic Alterations Featuring Biological Models to Tailor Clinical Management of Pancreatic Cancer Patients
title_full_unstemmed Genetic Alterations Featuring Biological Models to Tailor Clinical Management of Pancreatic Cancer Patients
title_short Genetic Alterations Featuring Biological Models to Tailor Clinical Management of Pancreatic Cancer Patients
title_sort genetic alterations featuring biological models to tailor clinical management of pancreatic cancer patients
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7281628/
https://www.ncbi.nlm.nih.gov/pubmed/32423157
http://dx.doi.org/10.3390/cancers12051233
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