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Strategies for Efficient Targeting of Tumor Collagen for Cancer Therapy.
Baldari, Silvia; Di Modugno, Francesca; Nisticò, Paola; Toietta, Gabriele.
Afiliación
  • Baldari S; Tumor Immunology and Immunotherapy Unit, IRCCS Regina Elena National Cancer Institute, Via Chianesi 53, 00144 Rome, Italy.
  • Di Modugno F; Tumor Immunology and Immunotherapy Unit, IRCCS Regina Elena National Cancer Institute, Via Chianesi 53, 00144 Rome, Italy.
  • Nisticò P; Tumor Immunology and Immunotherapy Unit, IRCCS Regina Elena National Cancer Institute, Via Chianesi 53, 00144 Rome, Italy.
  • Toietta G; Tumor Immunology and Immunotherapy Unit, IRCCS Regina Elena National Cancer Institute, Via Chianesi 53, 00144 Rome, Italy.
Cancers (Basel) ; 14(19)2022 Sep 27.
Article en En | MEDLINE | ID: mdl-36230627
The tumor stroma, which comprises stromal cells and non-cellular elements, is a critical component of the tumor microenvironment (TME). The dynamic interactions between the tumor cells and the stroma may promote tumor progression and metastasis and dictate resistance to established cancer therapies. Therefore, novel antitumor approaches should combine anticancer and anti-stroma strategies targeting dysregulated tumor extracellular matrix (ECM). ECM remodeling is a hallmark of solid tumors, leading to extensive biochemical and biomechanical changes, affecting cell signaling and tumor tissue three-dimensional architecture. Increased deposition of fibrillar collagen is the most distinctive alteration of the tumor ECM. Consequently, several anticancer therapeutic strategies have been developed to reduce excessive tumor collagen deposition. Herein, we provide an overview of the current advances and challenges of the main approaches aiming at tumor collagen normalization, which include targeted anticancer drug delivery, promotion of degradation, modulation of structure and biosynthesis of collagen, and targeting cancer-associated fibroblasts, which are the major extracellular matrix producers.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Cancers (Basel) Año: 2022 Tipo del documento: Article País de afiliación: Italia Pais de publicación: Suiza

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Cancers (Basel) Año: 2022 Tipo del documento: Article País de afiliación: Italia Pais de publicación: Suiza