Pre-clinical Models of Metastasis in Pancreatic Cancer

Pancreatic ductal adenocarcinoma (PDAC) is a hostile solid malignancy coupled with an extremely high mortality rate. Metastatic disease is already found in most patients at the time of diagnosis, resulting in a 5-year survival rate below 5%. Improved comprehension of the mechanisms leading to metast...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Maria Miquel [verfasserIn] Shuman Zhang [verfasserIn] Christian Pilarsky [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Schlagwörter:	metastasis pancreatic cancer organoids metastasis models PDAC – pancreatic ductal adenocarcinoma GEMMs

Übergeordnetes Werk:	In: Frontiers in Cell and Developmental Biology - Frontiers Media S.A., 2014, 9(2021)
Übergeordnetes Werk:	volume:9 ; year:2021

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3389/fcell.2021.748631

Katalog-ID:	DOAJ062029312

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520			\|a Pancreatic ductal adenocarcinoma (PDAC) is a hostile solid malignancy coupled with an extremely high mortality rate. Metastatic disease is already found in most patients at the time of diagnosis, resulting in a 5-year survival rate below 5%. Improved comprehension of the mechanisms leading to metastasis is pivotal for the development of new targeted therapies. A key field to be improved are modeling strategies applied in assessing cancer progression, since traditional platforms fail in recapitulating the complexity of PDAC. Consequently, there is a compelling demand for new preclinical models that mirror tumor progression incorporating the pressure of the immune system, tumor microenvironment, as well as molecular aspects of PDAC. We suggest the incorporation of 3D organoids derived from genetically engineered mouse models or patients as promising new tools capable to transform PDAC pre-clinical modeling and access new frontiers in personalized medicine.
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spelling	10.3389/fcell.2021.748631 doi (DE-627)DOAJ062029312 (DE-599)DOAJ8e5ca56b4f8444fcaa3658c1b8f32192 DE-627 ger DE-627 rakwb eng QH301-705.5 Maria Miquel verfasserin aut Pre-clinical Models of Metastasis in Pancreatic Cancer 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Pancreatic ductal adenocarcinoma (PDAC) is a hostile solid malignancy coupled with an extremely high mortality rate. Metastatic disease is already found in most patients at the time of diagnosis, resulting in a 5-year survival rate below 5%. Improved comprehension of the mechanisms leading to metastasis is pivotal for the development of new targeted therapies. A key field to be improved are modeling strategies applied in assessing cancer progression, since traditional platforms fail in recapitulating the complexity of PDAC. Consequently, there is a compelling demand for new preclinical models that mirror tumor progression incorporating the pressure of the immune system, tumor microenvironment, as well as molecular aspects of PDAC. We suggest the incorporation of 3D organoids derived from genetically engineered mouse models or patients as promising new tools capable to transform PDAC pre-clinical modeling and access new frontiers in personalized medicine. metastasis pancreatic cancer organoids metastasis models PDAC – pancreatic ductal adenocarcinoma GEMMs Biology (General) Maria Miquel verfasserin aut Shuman Zhang verfasserin aut Shuman Zhang verfasserin aut Christian Pilarsky verfasserin aut Christian Pilarsky verfasserin aut In Frontiers in Cell and Developmental Biology Frontiers Media S.A., 2014 9(2021) (DE-627)770398138 (DE-600)2737824-X 2296634X nnns volume:9 year:2021 https://doi.org/10.3389/fcell.2021.748631 kostenfrei https://doaj.org/article/8e5ca56b4f8444fcaa3658c1b8f32192 kostenfrei https://www.frontiersin.org/articles/10.3389/fcell.2021.748631/full kostenfrei https://doaj.org/toc/2296-634X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 9 2021
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allfieldsGer	10.3389/fcell.2021.748631 doi (DE-627)DOAJ062029312 (DE-599)DOAJ8e5ca56b4f8444fcaa3658c1b8f32192 DE-627 ger DE-627 rakwb eng QH301-705.5 Maria Miquel verfasserin aut Pre-clinical Models of Metastasis in Pancreatic Cancer 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Pancreatic ductal adenocarcinoma (PDAC) is a hostile solid malignancy coupled with an extremely high mortality rate. Metastatic disease is already found in most patients at the time of diagnosis, resulting in a 5-year survival rate below 5%. Improved comprehension of the mechanisms leading to metastasis is pivotal for the development of new targeted therapies. A key field to be improved are modeling strategies applied in assessing cancer progression, since traditional platforms fail in recapitulating the complexity of PDAC. Consequently, there is a compelling demand for new preclinical models that mirror tumor progression incorporating the pressure of the immune system, tumor microenvironment, as well as molecular aspects of PDAC. We suggest the incorporation of 3D organoids derived from genetically engineered mouse models or patients as promising new tools capable to transform PDAC pre-clinical modeling and access new frontiers in personalized medicine. metastasis pancreatic cancer organoids metastasis models PDAC – pancreatic ductal adenocarcinoma GEMMs Biology (General) Maria Miquel verfasserin aut Shuman Zhang verfasserin aut Shuman Zhang verfasserin aut Christian Pilarsky verfasserin aut Christian Pilarsky verfasserin aut In Frontiers in Cell and Developmental Biology Frontiers Media S.A., 2014 9(2021) (DE-627)770398138 (DE-600)2737824-X 2296634X nnns volume:9 year:2021 https://doi.org/10.3389/fcell.2021.748631 kostenfrei https://doaj.org/article/8e5ca56b4f8444fcaa3658c1b8f32192 kostenfrei https://www.frontiersin.org/articles/10.3389/fcell.2021.748631/full kostenfrei https://doaj.org/toc/2296-634X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 9 2021
allfieldsSound	10.3389/fcell.2021.748631 doi (DE-627)DOAJ062029312 (DE-599)DOAJ8e5ca56b4f8444fcaa3658c1b8f32192 DE-627 ger DE-627 rakwb eng QH301-705.5 Maria Miquel verfasserin aut Pre-clinical Models of Metastasis in Pancreatic Cancer 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Pancreatic ductal adenocarcinoma (PDAC) is a hostile solid malignancy coupled with an extremely high mortality rate. Metastatic disease is already found in most patients at the time of diagnosis, resulting in a 5-year survival rate below 5%. Improved comprehension of the mechanisms leading to metastasis is pivotal for the development of new targeted therapies. A key field to be improved are modeling strategies applied in assessing cancer progression, since traditional platforms fail in recapitulating the complexity of PDAC. Consequently, there is a compelling demand for new preclinical models that mirror tumor progression incorporating the pressure of the immune system, tumor microenvironment, as well as molecular aspects of PDAC. We suggest the incorporation of 3D organoids derived from genetically engineered mouse models or patients as promising new tools capable to transform PDAC pre-clinical modeling and access new frontiers in personalized medicine. metastasis pancreatic cancer organoids metastasis models PDAC – pancreatic ductal adenocarcinoma GEMMs Biology (General) Maria Miquel verfasserin aut Shuman Zhang verfasserin aut Shuman Zhang verfasserin aut Christian Pilarsky verfasserin aut Christian Pilarsky verfasserin aut In Frontiers in Cell and Developmental Biology Frontiers Media S.A., 2014 9(2021) (DE-627)770398138 (DE-600)2737824-X 2296634X nnns volume:9 year:2021 https://doi.org/10.3389/fcell.2021.748631 kostenfrei https://doaj.org/article/8e5ca56b4f8444fcaa3658c1b8f32192 kostenfrei https://www.frontiersin.org/articles/10.3389/fcell.2021.748631/full kostenfrei https://doaj.org/toc/2296-634X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 9 2021
language	English
source	In Frontiers in Cell and Developmental Biology 9(2021) volume:9 year:2021
sourceStr	In Frontiers in Cell and Developmental Biology 9(2021) volume:9 year:2021
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institution	findex.gbv.de
topic_facet	metastasis pancreatic cancer organoids metastasis models PDAC – pancreatic ductal adenocarcinoma GEMMs Biology (General)
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container_title	Frontiers in Cell and Developmental Biology
authorswithroles_txt_mv	Maria Miquel @@aut@@ Shuman Zhang @@aut@@ Christian Pilarsky @@aut@@
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callnumber-first	Q - Science
author	Maria Miquel
spellingShingle	Maria Miquel misc QH301-705.5 misc metastasis misc pancreatic cancer misc organoids misc metastasis models misc PDAC – pancreatic ductal adenocarcinoma misc GEMMs misc Biology (General) Pre-clinical Models of Metastasis in Pancreatic Cancer
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topic_title	QH301-705.5 Pre-clinical Models of Metastasis in Pancreatic Cancer metastasis pancreatic cancer organoids metastasis models PDAC – pancreatic ductal adenocarcinoma GEMMs
topic	misc QH301-705.5 misc metastasis misc pancreatic cancer misc organoids misc metastasis models misc PDAC – pancreatic ductal adenocarcinoma misc GEMMs misc Biology (General)
topic_unstemmed	misc QH301-705.5 misc metastasis misc pancreatic cancer misc organoids misc metastasis models misc PDAC – pancreatic ductal adenocarcinoma misc GEMMs misc Biology (General)
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title	Pre-clinical Models of Metastasis in Pancreatic Cancer
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title_full	Pre-clinical Models of Metastasis in Pancreatic Cancer
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title_sort	pre-clinical models of metastasis in pancreatic cancer
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title_auth	Pre-clinical Models of Metastasis in Pancreatic Cancer
abstract	Pancreatic ductal adenocarcinoma (PDAC) is a hostile solid malignancy coupled with an extremely high mortality rate. Metastatic disease is already found in most patients at the time of diagnosis, resulting in a 5-year survival rate below 5%. Improved comprehension of the mechanisms leading to metastasis is pivotal for the development of new targeted therapies. A key field to be improved are modeling strategies applied in assessing cancer progression, since traditional platforms fail in recapitulating the complexity of PDAC. Consequently, there is a compelling demand for new preclinical models that mirror tumor progression incorporating the pressure of the immune system, tumor microenvironment, as well as molecular aspects of PDAC. We suggest the incorporation of 3D organoids derived from genetically engineered mouse models or patients as promising new tools capable to transform PDAC pre-clinical modeling and access new frontiers in personalized medicine.
abstractGer	Pancreatic ductal adenocarcinoma (PDAC) is a hostile solid malignancy coupled with an extremely high mortality rate. Metastatic disease is already found in most patients at the time of diagnosis, resulting in a 5-year survival rate below 5%. Improved comprehension of the mechanisms leading to metastasis is pivotal for the development of new targeted therapies. A key field to be improved are modeling strategies applied in assessing cancer progression, since traditional platforms fail in recapitulating the complexity of PDAC. Consequently, there is a compelling demand for new preclinical models that mirror tumor progression incorporating the pressure of the immune system, tumor microenvironment, as well as molecular aspects of PDAC. We suggest the incorporation of 3D organoids derived from genetically engineered mouse models or patients as promising new tools capable to transform PDAC pre-clinical modeling and access new frontiers in personalized medicine.
abstract_unstemmed	Pancreatic ductal adenocarcinoma (PDAC) is a hostile solid malignancy coupled with an extremely high mortality rate. Metastatic disease is already found in most patients at the time of diagnosis, resulting in a 5-year survival rate below 5%. Improved comprehension of the mechanisms leading to metastasis is pivotal for the development of new targeted therapies. A key field to be improved are modeling strategies applied in assessing cancer progression, since traditional platforms fail in recapitulating the complexity of PDAC. Consequently, there is a compelling demand for new preclinical models that mirror tumor progression incorporating the pressure of the immune system, tumor microenvironment, as well as molecular aspects of PDAC. We suggest the incorporation of 3D organoids derived from genetically engineered mouse models or patients as promising new tools capable to transform PDAC pre-clinical modeling and access new frontiers in personalized medicine.
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title_short	Pre-clinical Models of Metastasis in Pancreatic Cancer
url	https://doi.org/10.3389/fcell.2021.748631 https://doaj.org/article/8e5ca56b4f8444fcaa3658c1b8f32192 https://www.frontiersin.org/articles/10.3389/fcell.2021.748631/full https://doaj.org/toc/2296-634X
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up_date	2024-07-03T23:56:49.130Z
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