Tumor microenvironment-targeted poly-L-glutamic acid-based combination conjugate for enhanced triple negative breast cancer treatment

The intrinsic characteristics of the tumor microenvironment (TME), including acidic pH and overexpression of hydrolytic enzymes, offer an exciting opportunity for the rational design of TME-drug delivery systems (DDS). We developed and characterized a pH-responsive biodegradable poly-L-glutamic acid...

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Detalles Bibliográficos
Autores: Arroyo-Crespo JJ, Armiñán A, Charbonnier D, Balzano-Nogueira L, Huertas-López F, Martí C, Tarazona S, Forteza J, Conesa A, Vicent MJ
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2018
País:España
Institución:Centro de Investigación Principe Felipe (CIPF)
Repositorio:r-CIPF. Repositorio Institucional Producción Científica del Centro de Investigación Principe Felipe (CIPF)
OAI Identifier:oai:cipf.fundanetsuite.com:p2237
Acceso en línea:https://cipf.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=2237
Access Level:acceso abierto
Palabra clave:Polymer therapeutics
Polypeptides
Tumor microenvironment
Polymer-based combination conjugates
Metastatic triple-negative breast cancer
Transcriptomics
Descripción
Sumario:The intrinsic characteristics of the tumor microenvironment (TME), including acidic pH and overexpression of hydrolytic enzymes, offer an exciting opportunity for the rational design of TME-drug delivery systems (DDS). We developed and characterized a pH-responsive biodegradable poly-L-glutamic acid (PGA)-based combination conjugate family with the aim of optimizing anticancer effects. We obtained combination conjugates bearing Doxorubicin (Dox) and aminoglutethimide (AGM) with two Dox loadings and two different hydrazone pH sensitive linkers that promote the specific release of Dox from the polymeric backbone within the TME. Low Dox loading coupled with a short hydrazone linker yielded optimal effects on primary tumor growth, lung metastasis (-90% reduction), and toxicological profile in a preclinical metastatic triple-negative breast cancer (TNBC) murine model. The use of transcriptomic analysis helped us to identify the molecular mechanisms responsible for such results including a differential immunomodulation and cell death pathways among the conjugates. This data highlights the advantages of targeting the TME, the therapeutic value of polymer-based combination approaches, and the utility of -omits-based analysis to accelerate anticancer DDS.