Ex-vivo 3D cellular models of pancreatic ductal adenocarcinoma:
from embryonic development to precision oncology

J 2024

Ex-vivo 3D cellular models of pancreatic ductal adenocarcinoma: from embryonic development to precision oncology

AĆIMOVIĆ, Ivana, Viktorie GABRIELOVÁ, Stanislava MARTÍNKOVÁ, Michal EID, Jakub VLAŽNÝ et. al.

Základní údaje

Originální název

Ex-vivo 3D cellular models of pancreatic ductal adenocarcinoma: from embryonic development to precision oncology

Autoři

Vydání

PANCREAS, PHILADELPHIA, LIPPINCOTT WILLIAMS & WILKINS, 2024, 0885-3177

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

30400 3.4 Medical biotechnology

Stát vydavatele

Spojené státy

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Impakt faktor

Impact factor: 2.900 v roce 2022

Organizační jednotka

Lékařská fakulta

DOI

http://dx.doi.org/10.1097/MPA.0000000000002393

UT WoS

999

Štítky

14110212, 14110223, 14110230, 14110517

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 19. 8. 2024 13:00, Mgr. Tereza Miškechová

Anotace

V originále

Pancreas is a vital gland of gastro-intestinal system with exocrine and endocrine secretory functions, interweaved into essential metabolic circuitries of the human body. Pancreatic ductal adenocarcinoma (PDAC) represents one of the most lethal malignancies, with a five-year survival rate of 11%. This poor prognosis is primarily attributed to the absence of early symptoms, rapid metastatic dissemination, and the limited efficacy of current therapeutic interventions. Despite recent advancements in understanding the etiopathogenesis and treatment of PDAC, there remains a pressing need for improved individualized models, the identification of novel molecular targets, and the development of unbiased predictors of disease progression. Here we aim to explore the concept of precision medicine utilizing three-dimensional, patient-specific cellular models of pancreatic tumors and discuss their potential applications in uncovering novel druggable molecular targets and predicting clinical parameters for individual patients.

Návaznosti

MUNI/A/1558/2023, interní kód MU

Název: Nové přístupy ve výzkumu, diagnostice a terapii hematologických malignit XI

Investor: Masarykova univerzita, Nové přístupy ve výzkumu, diagnostice a terapii hematologických malignit XI

MUNI/A/1598/2023, interní kód MU

Název: Zdroje pro tkáňové inženýrství 14

Investor: Masarykova univerzita, Zdroje pro tkáňové inženýrství 14

NU23-08-00241, projekt VaV

Název: Vývoj ex-vivo buněčných modelů pro adenokarcinom pankreatu: markery a cíle pro precizní medicínu

Investor: Ministerstvo zdravotnictví ČR, Vývoj ex-vivo buněčných modelů pro adenokarcinom pankreatu: markery a cíle pro precizní medicínu, Podprogram 1 - standardní

Citovat

AĆIMOVIĆ, Ivana, Viktorie GABRIELOVÁ, Stanislava MARTÍNKOVÁ, Michal EID, Jakub VLAŽNÝ, Petr MORAVČÍK, Jan HLAVSA, Lukáš MORÁŇ, Riza Can CAKMAKCI, Peter STAŇO, Vladimír PROCHÁZKA, Zdeněk KALA, Jan TRNKA a Petr VAŇHARA. Ex-vivo 3D cellular models of pancreatic ductal adenocarcinoma: from embryonic development to precision oncology. PANCREAS. PHILADELPHIA: LIPPINCOTT WILLIAMS & WILKINS, 2024. ISSN 0885-3177. Dostupné z: https://dx.doi.org/10.1097/MPA.0000000000002393.

@article{2420798,
   author = {Aćimović, Ivana and Gabrielová, Viktorie and Martínková, Stanislava and Eid, Michal and Vlažný, Jakub and Moravčík, Petr and Hlavsa, Jan and Moráň, Lukáš and Cakmakci, Riza Can and Staňo, Peter and Procházka, Vladimír and Kala, Zdeněk and Trnka, Jan and Vaňhara, Petr},
   article_location = {PHILADELPHIA},
   doi = {http://dx.doi.org/10.1097/MPA.0000000000002393},
   language = {eng},
   issn = {0885-3177},
   journal = {PANCREAS},
   title = {Ex-vivo 3D cellular models of pancreatic ductal adenocarcinoma: from embryonic development to precision oncology},
   url = {https://journals.lww.com/pancreasjournal/abstract/9900/ex_vivo_3d_cellular_models_of_pancreatic_ductal.188.aspx},
   year = {2024}
}

TY  - JOUR
ID  - 2420798
AU  - Aćimović, Ivana - Gabrielová, Viktorie - Martínková, Stanislava - Eid, Michal - Vlažný, Jakub - Moravčík, Petr - Hlavsa, Jan - Moráň, Lukáš - Cakmakci, Riza Can - Staňo, Peter - Procházka, Vladimír - Kala, Zdeněk - Trnka, Jan - Vaňhara, Petr
PY  - 2024
TI  - Ex-vivo 3D cellular models of pancreatic ductal adenocarcinoma: from embryonic development to precision oncology
JF  - PANCREAS
PB  - LIPPINCOTT WILLIAMS & WILKINS
SN  - 08853177
UR  - https://journals.lww.com/pancreasjournal/abstract/9900/ex_vivo_3d_cellular_models_of_pancreatic_ductal.188.aspx
N2  - Pancreas is a vital gland of gastro-intestinal system with exocrine and endocrine secretory functions, interweaved into essential metabolic circuitries of the human body. Pancreatic ductal adenocarcinoma (PDAC) represents one of the most lethal malignancies, with a five-year survival rate of 11%. This poor prognosis is primarily attributed to the absence of early symptoms, rapid metastatic dissemination, and the limited efficacy of current therapeutic interventions. Despite recent advancements in understanding the etiopathogenesis and treatment of PDAC, there remains a pressing need for improved individualized models, the identification of novel molecular targets, and the development of unbiased predictors of disease progression. Here we aim to explore the concept of precision medicine utilizing three-dimensional, patient-specific cellular models of pancreatic tumors and discuss their potential applications in uncovering novel druggable molecular targets and predicting clinical parameters for individual patients.
ER  -

A$\backslash$'CIMOVI$\backslash$'C, Ivana, Viktorie GABRIELOVÁ, Stanislava MARTÍNKOVÁ, Michal EID, Jakub VLAŽNÝ, Petr MORAVČÍK, Jan HLAVSA, Lukáš MORÁŇ, Riza Can CAKMAKCI, Peter STAŇO, Vladimír PROCHÁZKA, Zdeněk KALA, Jan TRNKA a Petr VAŇHARA. Ex-vivo 3D cellular models of pancreatic ductal adenocarcinoma: from embryonic development to precision oncology. \textit{PANCREAS}. PHILADELPHIA: LIPPINCOTT WILLIAMS \&{} WILKINS, 2024. ISSN~0885-3177. Dostupné z: https://dx.doi.org/10.1097/MPA.0000000000002393.

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