Inoculated Cell Density as a Determinant Factor of the Growth Dynamics and Metastatic Efficiency of a Breast Cancer Murine Model

Detalhes bibliográficos
Autor(a) principal: Gregório, Ana C.
Data de Publicação: 2016
Outros Autores: Fonseca, Nuno A., Moura, Vera, Lacerda, Manuela, Figueiredo, Paulo, Simões, Sérgio, Dias, Sérgio, Moreira, João Nuno
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10316/108844
https://doi.org/10.1371/journal.pone.0165817
Resumo: 4T1 metastatic breast cancer model have been widely used to study stage IV human breast cancer. However, the frequent inoculation of a large number of cells, gives rise to fast growing tumors, as well as to a surprisingly low metastatic take rate. The present work aimed at establishing the conditions enabling high metastatic take rate of the triple-negative murine 4T1 syngeneic breast cancer model. An 87% 4T1 tumor incidence was observed when as few as 500 cancer cells were implanted. 4T1 cancer cells colonized primarily the lungs with 100% efficiency, and distant lesions were also commonly identified in the mesentery and pancreas. The drastic reduction of the number of inoculated cells resulted in increased tumor doubling times and decreased specific growth rates, following a Gompertzian tumor expansion. The established conditions for the 4T1 mouse model were further validated in a therapeutic study with peguilated liposomal doxorubicin, in clinical used in the setting of metastatic breast cancer. Inoculated cell density was proven to be a key methodological aspect towards the reproducible development of macrometastases in the 4T1 mouse model and a more reliable pre-clinical assessment of antimetastatic therapies.
id RCAP_d6b22f2f5b9ca43905a31861f650390a
oai_identifier_str oai:estudogeral.uc.pt:10316/108844
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling Inoculated Cell Density as a Determinant Factor of the Growth Dynamics and Metastatic Efficiency of a Breast Cancer Murine ModelAnimalsAntibiotics, AntineoplasticBreast NeoplasmsCell CountCell Line, TumorDisease Models, AnimalDoxorubicinFemaleMammary Neoplasms, ExperimentalMiceMice, Inbred BALB CNeoplasm MetastasisPolyethylene Glycols4T1 metastatic breast cancer model have been widely used to study stage IV human breast cancer. However, the frequent inoculation of a large number of cells, gives rise to fast growing tumors, as well as to a surprisingly low metastatic take rate. The present work aimed at establishing the conditions enabling high metastatic take rate of the triple-negative murine 4T1 syngeneic breast cancer model. An 87% 4T1 tumor incidence was observed when as few as 500 cancer cells were implanted. 4T1 cancer cells colonized primarily the lungs with 100% efficiency, and distant lesions were also commonly identified in the mesentery and pancreas. The drastic reduction of the number of inoculated cells resulted in increased tumor doubling times and decreased specific growth rates, following a Gompertzian tumor expansion. The established conditions for the 4T1 mouse model were further validated in a therapeutic study with peguilated liposomal doxorubicin, in clinical used in the setting of metastatic breast cancer. Inoculated cell density was proven to be a key methodological aspect towards the reproducible development of macrometastases in the 4T1 mouse model and a more reliable pre-clinical assessment of antimetastatic therapies.Public Library of Science2016info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/108844http://hdl.handle.net/10316/108844https://doi.org/10.1371/journal.pone.0165817eng1932-6203Gregório, Ana C.Fonseca, Nuno A.Moura, VeraLacerda, ManuelaFigueiredo, PauloSimões, SérgioDias, SérgioMoreira, João Nunoinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-09-21T08:03:58Zoai:estudogeral.uc.pt:10316/108844Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:25:05.281122Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Inoculated Cell Density as a Determinant Factor of the Growth Dynamics and Metastatic Efficiency of a Breast Cancer Murine Model
title Inoculated Cell Density as a Determinant Factor of the Growth Dynamics and Metastatic Efficiency of a Breast Cancer Murine Model
spellingShingle Inoculated Cell Density as a Determinant Factor of the Growth Dynamics and Metastatic Efficiency of a Breast Cancer Murine Model
Gregório, Ana C.
Animals
Antibiotics, Antineoplastic
Breast Neoplasms
Cell Count
Cell Line, Tumor
Disease Models, Animal
Doxorubicin
Female
Mammary Neoplasms, Experimental
Mice
Mice, Inbred BALB C
Neoplasm Metastasis
Polyethylene Glycols
title_short Inoculated Cell Density as a Determinant Factor of the Growth Dynamics and Metastatic Efficiency of a Breast Cancer Murine Model
title_full Inoculated Cell Density as a Determinant Factor of the Growth Dynamics and Metastatic Efficiency of a Breast Cancer Murine Model
title_fullStr Inoculated Cell Density as a Determinant Factor of the Growth Dynamics and Metastatic Efficiency of a Breast Cancer Murine Model
title_full_unstemmed Inoculated Cell Density as a Determinant Factor of the Growth Dynamics and Metastatic Efficiency of a Breast Cancer Murine Model
title_sort Inoculated Cell Density as a Determinant Factor of the Growth Dynamics and Metastatic Efficiency of a Breast Cancer Murine Model
author Gregório, Ana C.
author_facet Gregório, Ana C.
Fonseca, Nuno A.
Moura, Vera
Lacerda, Manuela
Figueiredo, Paulo
Simões, Sérgio
Dias, Sérgio
Moreira, João Nuno
author_role author
author2 Fonseca, Nuno A.
Moura, Vera
Lacerda, Manuela
Figueiredo, Paulo
Simões, Sérgio
Dias, Sérgio
Moreira, João Nuno
author2_role author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Gregório, Ana C.
Fonseca, Nuno A.
Moura, Vera
Lacerda, Manuela
Figueiredo, Paulo
Simões, Sérgio
Dias, Sérgio
Moreira, João Nuno
dc.subject.por.fl_str_mv Animals
Antibiotics, Antineoplastic
Breast Neoplasms
Cell Count
Cell Line, Tumor
Disease Models, Animal
Doxorubicin
Female
Mammary Neoplasms, Experimental
Mice
Mice, Inbred BALB C
Neoplasm Metastasis
Polyethylene Glycols
topic Animals
Antibiotics, Antineoplastic
Breast Neoplasms
Cell Count
Cell Line, Tumor
Disease Models, Animal
Doxorubicin
Female
Mammary Neoplasms, Experimental
Mice
Mice, Inbred BALB C
Neoplasm Metastasis
Polyethylene Glycols
description 4T1 metastatic breast cancer model have been widely used to study stage IV human breast cancer. However, the frequent inoculation of a large number of cells, gives rise to fast growing tumors, as well as to a surprisingly low metastatic take rate. The present work aimed at establishing the conditions enabling high metastatic take rate of the triple-negative murine 4T1 syngeneic breast cancer model. An 87% 4T1 tumor incidence was observed when as few as 500 cancer cells were implanted. 4T1 cancer cells colonized primarily the lungs with 100% efficiency, and distant lesions were also commonly identified in the mesentery and pancreas. The drastic reduction of the number of inoculated cells resulted in increased tumor doubling times and decreased specific growth rates, following a Gompertzian tumor expansion. The established conditions for the 4T1 mouse model were further validated in a therapeutic study with peguilated liposomal doxorubicin, in clinical used in the setting of metastatic breast cancer. Inoculated cell density was proven to be a key methodological aspect towards the reproducible development of macrometastases in the 4T1 mouse model and a more reliable pre-clinical assessment of antimetastatic therapies.
publishDate 2016
dc.date.none.fl_str_mv 2016
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10316/108844
http://hdl.handle.net/10316/108844
https://doi.org/10.1371/journal.pone.0165817
url http://hdl.handle.net/10316/108844
https://doi.org/10.1371/journal.pone.0165817
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1932-6203
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Public Library of Science
publisher.none.fl_str_mv Public Library of Science
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
_version_ 1799134134339108864