Repositorio Institucional
Repositorio Institucional
CONICET Digital
  • Inicio
  • EXPLORAR
    • AUTORES
    • DISCIPLINAS
    • COMUNIDADES
  • Estadísticas
  • Novedades
    • Noticias
    • Boletines
  • Ayuda
    • General
    • Datos de investigación
  • Acerca de
    • CONICET Digital
    • Equipo
    • Red Federal
  • Contacto
JavaScript is disabled for your browser. Some features of this site may not work without it.
  • INFORMACIÓN GENERAL
  • RESUMEN
  • ESTADISTICAS
 
Artículo

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

Güttlein, LeandroIcon ; Benedetti, Lorena GabrielaIcon ; Fresno Rodríguez, CristóbalIcon ; Spallanzani, Raúl GermánIcon ; Mansilla, Sabrina FlorenciaIcon ; Rotondaro, CeciliaIcon ; Raffo Iraolagoitia, Ximena LucíaIcon ; Salvatierra, Edgardo; Bravo, Alicia I.; Fernandez, Elmer AndresIcon ; Gottifredi, VanesaIcon ; Zwirner, Norberto WalterIcon ; Llera, Andrea SabinaIcon ; Podhajcer, Osvaldo LuisIcon
Fecha de publicación: 03/2017
Editorial: American Association for Cancer Research
Revista: Molecular Cancer Research
ISSN: 1541-7786
e-ISSN: 1557-3125
Idioma: Inglés
Tipo de recurso: Artículo publicado
Clasificación temática:
Bioquímica y Biología Molecular

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.
Palabras clave: Cáncer , Sparc , Her2-Enriquecido , Metástasis
Ver el registro completo
 
Archivos asociados
Thumbnail
 
Tamaño: 1.519Mb
Formato: PDF
.
Descargar
Licencia
info:eu-repo/semantics/openAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)
Identificadores
URI: http://hdl.handle.net/11336/24731
URL: http://mcr.aacrjournals.org/content/15/3/304
DOI: http://dx.doi.org/10.1158/1541-7786.MCR-16-0243-T
Colecciones
Articulos(IIBBA)
Articulos de INST.DE INVEST.BIOQUIMICAS DE BS.AS(I)
Citación
Güttlein, Leandro; Benedetti, Lorena Gabriela; Fresno Rodríguez, Cristóbal; Spallanzani, Raúl Germán; Mansilla, Sabrina Florencia; et al.; Predictive Outcomes for HER2-enriched Cancer Using Growth and Metastasis Signatures Driven By SPARC; American Association for Cancer Research; Molecular Cancer Research; 15; 3; 3-2017; 304-316
Compartir
Altmétricas
 

Enviar por e-mail
Separar cada destinatario (hasta 5) con punto y coma.
  • Facebook
  • X Conicet Digital
  • Instagram
  • YouTube
  • Sound Cloud
  • LinkedIn

Los contenidos del CONICET están licenciados bajo Creative Commons Reconocimiento 2.5 Argentina License

https://www.conicet.gov.ar/ - CONICET

Inicio

Explorar

  • Autores
  • Disciplinas
  • Comunidades

Estadísticas

Novedades

  • Noticias
  • Boletines

Ayuda

Acerca de

  • CONICET Digital
  • Equipo
  • Red Federal

Contacto

Godoy Cruz 2290 (C1425FQB) CABA – República Argentina – Tel: +5411 4899-5400 repositorio@conicet.gov.ar
TÉRMINOS Y CONDICIONES