Developing strategies to predict photodynamic therapy outcome: the role of melanoma microenvironment

Autores
Vera, Renzo Emanuel; Lamberti, María Julia; Rivarola, Viviana Alicia; Rumie Vittar, Natalia Belen
Año de publicación
2015
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Melanoma is among the most aggressive and treatment-resistant human skin cancer. Photodynamic therapy (PDT), a minimally invasive therapeutic modality, is a promising approach to treating melanoma. It combines a non-toxic photoactivatable drug called photosensitizer with harmless visible light to generate reactive oxygen species which mediate the antitumor effects. The aim of this review was to compile the available data about PDT on melanoma. Our comparative analysis revealed a disconnection between several hypotheses generated by in vitro therapeutic studies and in vivo and clinical assays. This fact led us to highlight new preclinical experimental platforms that mimic the complexity of tumor biology. The tumor and its stromal microenvironment have a dynamic and reciprocal interaction that plays a critical role in tumor resistance, and these interactions can be exploited for novel therapeutic targets. In this sense, we review two strategies used by photodynamic researchers: (a) developing 3D culture systems which mimic tumor architecture and (b) heterotypic cultures that resemble tumor microenvironment to favor therapeutic regimen design. After this comprehensive review of the literature, we suggest that new complementary preclinical models are required to better optimize the clinical outcome of PDT on skin melanoma.
Fil: Vera, Renzo Emanuel. Universidad Nacional de Río Cuarto; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Lamberti, María Julia. Universidad Nacional de Río Cuarto; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Rivarola, Viviana Alicia. Universidad Nacional de Río Cuarto; Argentina
Fil: Rumie Vittar, Natalia Belen. Universidad Nacional de Río Cuarto; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Materia
Melanoma
Monolayer
Photodynamic Therapy
Spheroids
Tumor Microenvironment
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/70757
Acceder
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network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Developing strategies to predict photodynamic therapy outcome: the role of melanoma microenvironmentVera, Renzo EmanuelLamberti, María JuliaRivarola, Viviana AliciaRumie Vittar, Natalia BelenMelanomaMonolayerPhotodynamic TherapySpheroidsTumor Microenvironmenthttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Melanoma is among the most aggressive and treatment-resistant human skin cancer. Photodynamic therapy (PDT), a minimally invasive therapeutic modality, is a promising approach to treating melanoma. It combines a non-toxic photoactivatable drug called photosensitizer with harmless visible light to generate reactive oxygen species which mediate the antitumor effects. The aim of this review was to compile the available data about PDT on melanoma. Our comparative analysis revealed a disconnection between several hypotheses generated by in vitro therapeutic studies and in vivo and clinical assays. This fact led us to highlight new preclinical experimental platforms that mimic the complexity of tumor biology. The tumor and its stromal microenvironment have a dynamic and reciprocal interaction that plays a critical role in tumor resistance, and these interactions can be exploited for novel therapeutic targets. In this sense, we review two strategies used by photodynamic researchers: (a) developing 3D culture systems which mimic tumor architecture and (b) heterotypic cultures that resemble tumor microenvironment to favor therapeutic regimen design. After this comprehensive review of the literature, we suggest that new complementary preclinical models are required to better optimize the clinical outcome of PDT on skin melanoma.Fil: Vera, Renzo Emanuel. Universidad Nacional de Río Cuarto; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Lamberti, María Julia. Universidad Nacional de Río Cuarto; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Rivarola, Viviana Alicia. Universidad Nacional de Río Cuarto; ArgentinaFil: Rumie Vittar, Natalia Belen. Universidad Nacional de Río Cuarto; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaSpringer2015-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/70757Vera, Renzo Emanuel; Lamberti, María Julia; Rivarola, Viviana Alicia; Rumie Vittar, Natalia Belen; Developing strategies to predict photodynamic therapy outcome: the role of melanoma microenvironment; Springer; Tumor Biology; 36; 12; 12-2015; 9127-91361010-42831423-0380CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1007/s13277-015-4059-xinfo:eu-repo/semantics/altIdentifier/url/https://link.springer.com/article/10.1007%2Fs13277-015-4059-xinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:42:10Zoai:ri.conicet.gov.ar:11336/70757instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:42:10.613CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Developing strategies to predict photodynamic therapy outcome: the role of melanoma microenvironment
title Developing strategies to predict photodynamic therapy outcome: the role of melanoma microenvironment
spellingShingle Developing strategies to predict photodynamic therapy outcome: the role of melanoma microenvironment
Vera, Renzo Emanuel
Melanoma
Monolayer
Photodynamic Therapy
Spheroids
Tumor Microenvironment
title_short Developing strategies to predict photodynamic therapy outcome: the role of melanoma microenvironment
title_full Developing strategies to predict photodynamic therapy outcome: the role of melanoma microenvironment
title_fullStr Developing strategies to predict photodynamic therapy outcome: the role of melanoma microenvironment
title_full_unstemmed Developing strategies to predict photodynamic therapy outcome: the role of melanoma microenvironment
title_sort Developing strategies to predict photodynamic therapy outcome: the role of melanoma microenvironment
dc.creator.none.fl_str_mv Vera, Renzo Emanuel
Lamberti, María Julia
Rivarola, Viviana Alicia
Rumie Vittar, Natalia Belen
author Vera, Renzo Emanuel
author_facet Vera, Renzo Emanuel
Lamberti, María Julia
Rivarola, Viviana Alicia
Rumie Vittar, Natalia Belen
author_role author
author2 Lamberti, María Julia
Rivarola, Viviana Alicia
Rumie Vittar, Natalia Belen
author2_role author
author
author
dc.subject.none.fl_str_mv Melanoma
Monolayer
Photodynamic Therapy
Spheroids
Tumor Microenvironment
topic Melanoma
Monolayer
Photodynamic Therapy
Spheroids
Tumor Microenvironment
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Melanoma is among the most aggressive and treatment-resistant human skin cancer. Photodynamic therapy (PDT), a minimally invasive therapeutic modality, is a promising approach to treating melanoma. It combines a non-toxic photoactivatable drug called photosensitizer with harmless visible light to generate reactive oxygen species which mediate the antitumor effects. The aim of this review was to compile the available data about PDT on melanoma. Our comparative analysis revealed a disconnection between several hypotheses generated by in vitro therapeutic studies and in vivo and clinical assays. This fact led us to highlight new preclinical experimental platforms that mimic the complexity of tumor biology. The tumor and its stromal microenvironment have a dynamic and reciprocal interaction that plays a critical role in tumor resistance, and these interactions can be exploited for novel therapeutic targets. In this sense, we review two strategies used by photodynamic researchers: (a) developing 3D culture systems which mimic tumor architecture and (b) heterotypic cultures that resemble tumor microenvironment to favor therapeutic regimen design. After this comprehensive review of the literature, we suggest that new complementary preclinical models are required to better optimize the clinical outcome of PDT on skin melanoma.
Fil: Vera, Renzo Emanuel. Universidad Nacional de Río Cuarto; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Lamberti, María Julia. Universidad Nacional de Río Cuarto; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Rivarola, Viviana Alicia. Universidad Nacional de Río Cuarto; Argentina
Fil: Rumie Vittar, Natalia Belen. Universidad Nacional de Río Cuarto; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
description Melanoma is among the most aggressive and treatment-resistant human skin cancer. Photodynamic therapy (PDT), a minimally invasive therapeutic modality, is a promising approach to treating melanoma. It combines a non-toxic photoactivatable drug called photosensitizer with harmless visible light to generate reactive oxygen species which mediate the antitumor effects. The aim of this review was to compile the available data about PDT on melanoma. Our comparative analysis revealed a disconnection between several hypotheses generated by in vitro therapeutic studies and in vivo and clinical assays. This fact led us to highlight new preclinical experimental platforms that mimic the complexity of tumor biology. The tumor and its stromal microenvironment have a dynamic and reciprocal interaction that plays a critical role in tumor resistance, and these interactions can be exploited for novel therapeutic targets. In this sense, we review two strategies used by photodynamic researchers: (a) developing 3D culture systems which mimic tumor architecture and (b) heterotypic cultures that resemble tumor microenvironment to favor therapeutic regimen design. After this comprehensive review of the literature, we suggest that new complementary preclinical models are required to better optimize the clinical outcome of PDT on skin melanoma.
publishDate 2015
dc.date.none.fl_str_mv 2015-12
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/70757
Vera, Renzo Emanuel; Lamberti, María Julia; Rivarola, Viviana Alicia; Rumie Vittar, Natalia Belen; Developing strategies to predict photodynamic therapy outcome: the role of melanoma microenvironment; Springer; Tumor Biology; 36; 12; 12-2015; 9127-9136
1010-4283
1423-0380
CONICET Digital
CONICET
url http://hdl.handle.net/11336/70757
identifier_str_mv Vera, Renzo Emanuel; Lamberti, María Julia; Rivarola, Viviana Alicia; Rumie Vittar, Natalia Belen; Developing strategies to predict photodynamic therapy outcome: the role of melanoma microenvironment; Springer; Tumor Biology; 36; 12; 12-2015; 9127-9136
1010-4283
1423-0380
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1007/s13277-015-4059-x
info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/article/10.1007%2Fs13277-015-4059-x
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.069144

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