Artículo

Predictive Outcomes for HER2-enriched Cancer Using Growth and Metastasis Signatures Driven By SPARC

Güttlein, Leandro Icon; Benedetti, Lorena Gabriela Icon; Fresno Rodríguez, Cristóbal Icon; Spallanzani, Raúl Germán Icon; Mansilla, Sabrina Florencia Icon; Rotondaro, Cecilia Icon; Raffo Iraolagoitia, Ximena Lucía Icon; Salvatierra, Edgardo ; Bravo, Alicia I. ; Fernandez, Elmer Andres Icon; Gottifredi, Vanesa Icon; Zwirner, Norberto Walter Icon; Llera, Andrea Sabina Icon; Podhajcer, Osvaldo Luis Icon

Otros responsables

Fecha

03/2017

Editorial

American Association for Cancer Research

Revista

Molecular Cancer Research

Título del libro

Nombre del evento

Fecha del evento

Institución organizadora

ISSN

1541-7786

eISSN

1557-3125

ISBN

Idioma

Inglés

Tipo del evento

Clasificación temática

Resumen

Understanding the mechanism of metastatic dissemination is crucial for the rational design of novel therapeutics. The secreted protein acidic and rich in cysteine (SPARC) is a matricellular glycoprotein which has been extensively associated with human breast cancer aggressiveness although the underlying mechanisms are still unclear. Here, shRNA-mediated SPARC knockdown greatly reduced primary tumor growth and completely abolished lung colonization of murine 4T1 and LM3 breast malignant cells implanted in syngeneic BALB/c mice. A comprehensive study including global transcriptomic analysis followed by biological validations confirmed that SPARC induces primary tumor growth by enhancing cell cycle and by promoting a COX-2-mediated expansion of myeloid-derived suppressor cells (MDSC). The role of SPARC in metastasis involved a COX-2-independent enhancement of cell disengagement from the primary tumor and adherence to the lungs that fostered metastasis implantation. Interestingly, SPARC-driven gene expression signatures obtained from these murine models predicted the clinical outcome of patients with HER2-enriched breast cancer subtypes. In total, the results reveal that SPARC and its downstream effectors are attractive targets for antimetastatic therapies in breast cancer.

Colecciones

Aprobación

Revisión

Complementado por

Referenciado por

Licencia Creative Commons

Excepto donde se indique lo contrario, la licencia de este ítem se describe como by-nc-sa