Ir directamente a la navegación principal Ir directamente a la búsqueda Ir directamente al contenido principal

Whole genome and reverse protein phase array landscapes of patient derived osteosarcoma xenograft models

  • Chia Chin Wu
  • , Licai Huang
  • , Zhongting Zhang
  • , Zhenlin Ju
  • , Xingzhi Song
  • , E. Anders Kolb
  • , Wendong Zhang
  • , Jonathan Gill
  • , Min Ha
  • , Malcolm A. Smith
  • , Peter Houghton
  • , Christopher L. Morton
  • , Raushan Kurmasheva
  • , John Maris
  • , Yael Mosse
  • , Yiling Lu
  • , Richard Gorlick
  • , P. Andrew Futreal
  • , Hannah C. Beird

Producción científica: Articlerevisión exhaustiva

Resumen

Osteosarcoma is the most common primary bone malignancy in children and young adults, and it has few treatment options. As a result, there has been little improvement in survival outcomes in the past few decades. The need for models to test novel therapies is especially great in this disease since it is both rare and does not respond to most therapies. To address this, an NCI-funded consortium has characterized and utilized a panel of patient-derived xenograft models of osteosarcoma for drug testing. The exomes, transcriptomes, and copy number landscapes of these models have been presented previously. This study now adds whole genome sequencing and reverse-phase protein array profiling data, which can be correlated with drug testing results. In addition, four additional osteosarcoma models are described for use in the research community.

Idioma originalEnglish (US)
Número de artículo19891
PublicaciónScientific reports
Volumen14
N.º1
DOI
EstadoPublished - dic 2024

ASJC Scopus subject areas

  • General

Huella

Profundice en los temas de investigación de 'Whole genome and reverse protein phase array landscapes of patient derived osteosarcoma xenograft models'. En conjunto forman una huella única.

Citar esto