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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/70757
Ver los metadatos del registro completo
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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 Técnicas2025-09-03T10:10:12Zoai: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:34982025-09-03 10:10:12.441CONICET 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 |
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CONICET Digital (CONICET) |
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CONICET Digital (CONICET) |
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Consejo Nacional de Investigaciones Científicas y Técnicas |
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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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13.13397 |