A distinct p53 target gene set predicts for response to the selective p53–HDM2 inhibitor NVP-CGM097

نویسندگان

  • Sébastien Jeay
  • Swann Gaulis
  • Stéphane Ferretti
  • Hans Bitter
  • Moriko Ito
  • Thérèse Valat
  • Masato Murakami
  • Stephan Ruetz
  • Daniel A Guthy
  • Caroline Rynn
  • Michael R Jensen
  • Marion Wiesmann
  • Joerg Kallen
  • Pascal Furet
  • François Gessier
  • Philipp Holzer
  • Keiichi Masuya
  • Jens Würthner
  • Ensar Halilovic
  • Francesco Hofmann
  • William R Sellers
  • Diana Graus Porta
  • Joaquin M Espinosa
چکیده

Biomarkers for patient selection are essential for the successful and rapid development of emerging targeted anti-cancer therapeutics. In this study, we report the discovery of a novel patient selection strategy for the p53-HDM2 inhibitor NVP-CGM097, currently under evaluation in clinical trials. By intersecting high-throughput cell line sensitivity data with genomic data, we have identified a gene expression signature consisting of 13 up-regulated genes that predicts for sensitivity to NVP-CGM097 in both cell lines and in patient-derived tumor xenograft models. Interestingly, these 13 genes are known p53 downstream target genes, suggesting that the identified gene signature reflects the presence of at least a partially activated p53 pathway in NVP-CGM097-sensitive tumors. Together, our findings provide evidence for the use of this newly identified predictive gene signature to refine the selection of patients with wild-type p53 tumors and increase the likelihood of response to treatment with p53-HDM2 inhibitors, such as NVP-CGM097.

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عنوان ژورنال:

دوره 4  شماره 

صفحات  -

تاریخ انتشار 2015