Cell Reports (Jun 2024)

Epigenomic signatures of sarcomatoid differentiation to guide the treatment of renal cell carcinoma

  • Talal El Zarif,
  • Karl Semaan,
  • Marc Eid,
  • Ji-Heui Seo,
  • Simon Garinet,
  • Matthew P. Davidsohn,
  • Pranshu Sahgal,
  • Brad Fortunato,
  • John Canniff,
  • Amin H. Nassar,
  • Sarah Abou Alaiwi,
  • Ziad Bakouny,
  • Gitanjali Lakshminarayanan,
  • Hunter Savignano,
  • Kevin Lyons,
  • Sayed Matar,
  • Atef Ali,
  • Eddy Saad,
  • Renee Maria Saliby,
  • Paulo Cordeiro,
  • Ziwei Zhang,
  • Nourhan El Ahmar,
  • Yasmin Nabil Laimon,
  • Chris Labaki,
  • Valisha Shah,
  • Dory Freeman,
  • Jillian O’Toole,
  • Gwo-Shu Mary Lee,
  • Justin Hwang,
  • Mark Pomerantz,
  • Sabina Signoretti,
  • Eliezer M. Van Allen,
  • Wanling Xie,
  • Jacob E. Berchuck,
  • Srinivas R. Viswanathan,
  • David A. Braun,
  • Toni K. Choueiri,
  • Matthew L. Freedman,
  • Sylvan C. Baca

Journal volume & issue
Vol. 43, no. 6
p. 114350

Abstract

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Summary: Renal cell carcinoma with sarcomatoid differentiation (sRCC) is associated with poor survival and a heightened response to immune checkpoint inhibitors (ICIs). Two major barriers to improving outcomes for sRCC are the limited understanding of its gene regulatory programs and the low diagnostic yield of tumor biopsies due to spatial heterogeneity. Herein, we characterized the epigenomic landscape of sRCC by profiling 107 epigenomic libraries from tissue and plasma samples from 50 patients with RCC and healthy volunteers. By profiling histone modifications and DNA methylation, we identified highly recurrent epigenomic reprogramming enriched in sRCC. Furthermore, CRISPRa experiments implicated the transcription factor FOSL1 in activating sRCC-associated gene regulatory programs, and FOSL1 expression was associated with the response to ICIs in RCC in two randomized clinical trials. Finally, we established a blood-based diagnostic approach using detectable sRCC epigenomic signatures in patient plasma, providing a framework for discovering epigenomic correlates of tumor histology via liquid biopsy.

Keywords