Publicação
Forecast cancer: the importance of biomimetic 3D in vitro models in cancer drug testing/discovery and therapy
| Resumo: | Nowadays, the pharmaceutical industry faces a significant challenge related to the high attrition rates of drugs, which is particularly astonishing in oncology [1]. Indeed, several studies have reported that about 95% of anti-cancer drugs tested in phase I fail to reach the market. The reasons for this decline may be very complex, but most likely, they are related to how potential drug candidates are tested, which is far from being optimal. Typically, drugs are evaluated using cancer cells seeded on conventionalâ flatâ tissue culture surfaces (e.g., Petri dishes, flasks, or multi-well plates), which cannot recapitulate the three-dimensional (3D) architecture, rich cellular content, and complex interactions of the native tumor microenvironment [2]. Under these oversimplistic conditions, cancer cells display extreme phenotypes and aberrant gene expression, producing a non-physiological response when exposed to drugs. Additionally, these conventional approaches cannot recapitulate many of the dynamic events occurring in the human body that are crucial in cancer dissemination, particularly fluid flow or gradient formation [3, 4]. Similarly, animal models (e.g., mice, pigs, or primates), besides being ethically controversial and expensive, do not mimic human physiology, particularly the immune system, which is critical during cancer progression and therapy response. Even though â humanizedâ mice have been reported to address this limitation, they are not available for the majority of research labs and are incompatible with high-throughput production, an imperative drug discovery/screening feature. |
|---|---|
| Autores principais: | Caballero, David |
| Outros Autores: | Kundu, B.; Abreu, Catarina M.; Amorim, S.; Fernandes, D. C.; Pires, R. A.; Oliveira, Joaquim M.; Correlo, V. M.; Reis, R. L.; Kundu, Subhas C |
| Assunto: | 3D in vitro models Cancer drug screening Drug testing three dimensions |
| Ano: | 2022 |
| País: | Portugal |
| Tipo de documento: | artigo |
| Tipo de acesso: | acesso restrito |
| Instituição associada: | Universidade do Minho |
| Idioma: | inglês |
| Origem: | RepositóriUM - Universidade do Minho |
| _version_ | 1866875486978703360 |
|---|---|
| author | Caballero, David |
| author2 | Kundu, B. Abreu, Catarina M. Amorim, S. Fernandes, D. C. Pires, R. A. Oliveira, Joaquim M. Correlo, V. M. Reis, R. L. Kundu, Subhas C |
| author2_role | author author author author author author author author author |
| author_facet | Caballero, David Kundu, B. Abreu, Catarina M. Amorim, S. Fernandes, D. C. Pires, R. A. Oliveira, Joaquim M. Correlo, V. M. Reis, R. L. Kundu, Subhas C |
| author_role | author |
| contributor_name_str_mv | Universidade do Minho |
| country_str | PT |
| creators_json_txt | [{\"Person.name\":\"Caballero, David\"},{\"Person.name\":\"Kundu, B.\"},{\"Person.name\":\"Abreu, Catarina M.\"},{\"Person.name\":\"Amorim, S.\"},{\"Person.name\":\"Fernandes, D. C.\"},{\"Person.name\":\"Pires, R. A.\"},{\"Person.name\":\"Oliveira, Joaquim M.\"},{\"Person.name\":\"Correlo, V. M.\"},{\"Person.name\":\"Reis, R. L.\"},{\"Person.name\":\"Kundu, Subhas C\"}] |
| datacite.contributors.contributor.contributorName.fl_str_mv | Universidade do Minho |
| datacite.creators.creator.creatorName.fl_str_mv | Caballero, David Kundu, B. Abreu, Catarina M. Amorim, S. Fernandes, D. C. Pires, R. A. Oliveira, Joaquim M. Correlo, V. M. Reis, R. L. Kundu, Subhas C |
| datacite.date.Accepted.fl_str_mv | 2022-03-01T00:00:00Z |
| datacite.date.embargoed.fl_str_mv | 10000-01-01T00:00:00Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_16ec |
| datacite.subjects.subject.fl_str_mv | 3D in vitro models Cancer drug screening Drug testing three dimensions |
| datacite.titles.title.fl_str_mv | Forecast cancer: the importance of biomimetic 3D in vitro models in cancer drug testing/discovery and therapy |
| dc.contributor.none.fl_str_mv | Universidade do Minho |
| dc.creator.none.fl_str_mv | Caballero, David Kundu, B. Abreu, Catarina M. Amorim, S. Fernandes, D. C. Pires, R. A. Oliveira, Joaquim M. Correlo, V. M. Reis, R. L. Kundu, Subhas C |
| dc.date.Accepted.fl_str_mv | 2022-03-01T00:00:00Z |
| dc.date.embargoed.fl_str_mv | 10000-01-01T00:00:00Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | https://hdl.handle.net/1822/76682 |
| dc.language.none.fl_str_mv | eng |
| dc.publisher.none.fl_str_mv | Springer |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_16ec |
| dc.subject.none.fl_str_mv | 3D in vitro models Cancer drug screening Drug testing three dimensions |
| dc.title.fl_str_mv | Forecast cancer: the importance of biomimetic 3D in vitro models in cancer drug testing/discovery and therapy |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_6501 |
| description | Nowadays, the pharmaceutical industry faces a significant challenge related to the high attrition rates of drugs, which is particularly astonishing in oncology [1]. Indeed, several studies have reported that about 95% of anti-cancer drugs tested in phase I fail to reach the market. The reasons for this decline may be very complex, but most likely, they are related to how potential drug candidates are tested, which is far from being optimal. Typically, drugs are evaluated using cancer cells seeded on conventionalâ flatâ tissue culture surfaces (e.g., Petri dishes, flasks, or multi-well plates), which cannot recapitulate the three-dimensional (3D) architecture, rich cellular content, and complex interactions of the native tumor microenvironment [2]. Under these oversimplistic conditions, cancer cells display extreme phenotypes and aberrant gene expression, producing a non-physiological response when exposed to drugs. Additionally, these conventional approaches cannot recapitulate many of the dynamic events occurring in the human body that are crucial in cancer dissemination, particularly fluid flow or gradient formation [3, 4]. Similarly, animal models (e.g., mice, pigs, or primates), besides being ethically controversial and expensive, do not mimic human physiology, particularly the immune system, which is critical during cancer progression and therapy response. Even though â humanizedâ mice have been reported to address this limitation, they are not available for the majority of research labs and are incompatible with high-throughput production, an imperative drug discovery/screening feature. |
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| eu_rights_str_mv | restrictedAccess |
| format | article |
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| identifier.url.fl_str_mv | https://hdl.handle.net/1822/76682 |
| instacron_str | repositorium |
| institution | Universidade do Minho |
| instname_str | Universidade do Minho |
| language | eng |
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| network_name_str | RepositóriUM - Universidade do Minho |
| oai_identifier_str | oai:repositorium.uminho.pt:1822/76682 |
| organization_str_mv | urn:organizationAcronym:repositorium |
| person_str_mv | Caballero, David Kundu, B. Abreu, Catarina M. Amorim, S. Fernandes, D. C. Pires, R. A. Oliveira, Joaquim M. Correlo, V. M. Reis, R. L. Kundu, Subhas C |
| publishDate | 2022 |
| publisher.none.fl_str_mv | Springer |
| reponame_str | RepositóriUM - Universidade do Minho |
| repository_id_str | urn:repositoryAcronym:rum |
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| spelling | engSpringerporNowadays, the pharmaceutical industry faces a significant challenge related to the high attrition rates of drugs, which is particularly astonishing in oncology [1]. Indeed, several studies have reported that about 95% of anti-cancer drugs tested in phase I fail to reach the market. The reasons for this decline may be very complex, but most likely, they are related to how potential drug candidates are tested, which is far from being optimal. Typically, drugs are evaluated using cancer cells seeded on conventionalâ flatâ tissue culture surfaces (e.g., Petri dishes, flasks, or multi-well plates), which cannot recapitulate the three-dimensional (3D) architecture, rich cellular content, and complex interactions of the native tumor microenvironment [2]. Under these oversimplistic conditions, cancer cells display extreme phenotypes and aberrant gene expression, producing a non-physiological response when exposed to drugs. Additionally, these conventional approaches cannot recapitulate many of the dynamic events occurring in the human body that are crucial in cancer dissemination, particularly fluid flow or gradient formation [3, 4]. Similarly, animal models (e.g., mice, pigs, or primates), besides being ethically controversial and expensive, do not mimic human physiology, particularly the immune system, which is critical during cancer progression and therapy response. Even though â humanizedâ mice have been reported to address this limitation, they are not available for the majority of research labs and are incompatible with high-throughput production, an imperative drug discovery/screening feature.application/pdfporForecast cancer: the importance of biomimetic 3D in vitro models in cancer drug testing/discovery and therapyCaballero, DavidKundu, B.Abreu, Catarina M.Amorim, S.Fernandes, D. C.Pires, R. A.Oliveira, Joaquim M.Correlo, V. M.Reis, R. L.Kundu, Subhas CHostingInstitutionOrganizationalUniversidade do Minhoe-mailmailto:repositorium@usdb.uminho.ptrepositorium@usdb.uminho.ptISSNIsPartOf2731-3441DOIIsPartOf10.1007/s44164-022-00014-z2022-032022-032022-03-29T08:02:36Z2022-03-01T00:00:00Z10000-01-01T00:00:00ZHandlehttps://hdl.handle.net/1822/76682http://purl.org/coar/access_right/c_16ecrestricted access3D in vitro modelsCancerdrug screeningDrug testingthree dimensions934935 bytesliteraturehttp://purl.org/coar/resource_type/c_6501journal articlehttp://purl.org/coar/access_right/c_f1cfapplication/pdffulltexthttps://prod-dspace.uminho.pt/bitstreams/b7515d06-0a44-4823-a729-e698446235a7/download |
| spellingShingle | Forecast cancer: the importance of biomimetic 3D in vitro models in cancer drug testing/discovery and therapy Caballero, David 3D in vitro models Cancer drug screening Drug testing three dimensions |
| status | SINGLETON |
| subject.fl_str_mv | 3D in vitro models Cancer drug screening Drug testing three dimensions |
| title | Forecast cancer: the importance of biomimetic 3D in vitro models in cancer drug testing/discovery and therapy |
| title_full | Forecast cancer: the importance of biomimetic 3D in vitro models in cancer drug testing/discovery and therapy |
| title_fullStr | Forecast cancer: the importance of biomimetic 3D in vitro models in cancer drug testing/discovery and therapy |
| title_full_unstemmed | Forecast cancer: the importance of biomimetic 3D in vitro models in cancer drug testing/discovery and therapy |
| title_short | Forecast cancer: the importance of biomimetic 3D in vitro models in cancer drug testing/discovery and therapy |
| title_sort | Forecast cancer: the importance of biomimetic 3D in vitro models in cancer drug testing/discovery and therapy |
| topic | 3D in vitro models Cancer drug screening Drug testing three dimensions |
| topic_facet | 3D in vitro models Cancer drug screening Drug testing three dimensions |
| url | https://hdl.handle.net/1822/76682 |
| visible | 1 |