Network models of primary melanoma microenvironments identify key melanoma regulators underlying prognosis

Nature Communications, Vol. 12 (2021)

Keywords
Authors
  • Won-Min Song
  • Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place
  • Praveen Agrawal
  • Department of Pathology, NYU Grossman School of Medicine
  • Richard Von Itter
  • Department of Pathology, NYU Grossman School of Medicine
  • Barbara Fontanals-Cirera
  • Department of Pathology, NYU Grossman School of Medicine
  • Minghui Wang
  • Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place
  • Xianxiao Zhou
  • Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place
  • Lara K. Mahal
  • Department of Chemistry, University of Alberta
  • Eva Hernando
  • Department of Pathology, NYU Grossman School of Medicine
  • Bin Zhang
  • Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place

Abstract

While the molecular profiling of melanoma progression has been extensively characterised by large-scale studies, there is still need for the comprehensive integration of such datasets. Here the authors construct predictive gene network models for prognostic and therapeutic purposes.

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