Go to The Journal of Clinical Investigation
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Transfers
  • Advertising
  • Job board
  • Contact
  • Physician-Scientist Development
  • Current issue
  • Past issues
  • By specialty
    • COVID-19
    • Cardiology
    • Immunology
    • Metabolism
    • Nephrology
    • Oncology
    • Pulmonology
    • All ...
  • Videos
  • Collections
    • In-Press Preview
    • Resource and Technical Advances
    • Clinical Research and Public Health
    • Research Letters
    • Editorials
    • Perspectives
    • Physician-Scientist Development
    • Reviews
    • Top read articles

  • Current issue
  • Past issues
  • Specialties
  • In-Press Preview
  • Resource and Technical Advances
  • Clinical Research and Public Health
  • Research Letters
  • Editorials
  • Perspectives
  • Physician-Scientist Development
  • Reviews
  • Top read articles
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Transfers
  • Advertising
  • Job board
  • Contact

Submit a comment

Tumor heterogeneity underlies clinical outcome and MEK inhibitor response in somatic NF1-mutant glioblastoma
Sixuan Pan, Kanish Mirchia, Emily Payne, S. John Liu, Nadeem Al-Adli, Zain Peeran, Poojan Shukla, Jacob S. Young, Rohit Gupta, Jasper Wu, Joanna Pak, Tomoko Ozawa, Brian Na, Alyssa T. Reddy, Steve E. Braunstein, Joanna J. Phillips, Susan Chang, David A. Solomon, Arie Perry, David R. Raleigh, Mitchel S. Berger, Adam R. Abate, Harish N. Vasudevan
Sixuan Pan, Kanish Mirchia, Emily Payne, S. John Liu, Nadeem Al-Adli, Zain Peeran, Poojan Shukla, Jacob S. Young, Rohit Gupta, Jasper Wu, Joanna Pak, Tomoko Ozawa, Brian Na, Alyssa T. Reddy, Steve E. Braunstein, Joanna J. Phillips, Susan Chang, David A. Solomon, Arie Perry, David R. Raleigh, Mitchel S. Berger, Adam R. Abate, Harish N. Vasudevan
View: Text | PDF
Research Article Genetics Oncology

Tumor heterogeneity underlies clinical outcome and MEK inhibitor response in somatic NF1-mutant glioblastoma

  • Text
  • PDF
Abstract

Tumor suppressor NF1 is recurrently mutated in glioblastoma, leading to aberrant activation of Ras/rapidly accelerated fibrosarcoma (RAF)/MEK signaling. However, how tumor heterogeneity shapes the molecular landscape and efficacy of targeted therapies remains unclear. Here, we combined bulk and single-cell genomics of human somatic NF1-mutant, isocitrate dehydrogenase (IDH) wild-type glioblastomas with functional studies in cell lines and mouse intracranial tumor models to identify mechanisms of tumor heterogeneity underlying clinical outcome and MEK inhibitor response. Targeted DNA sequencing identified CDKN2A/B homozygous deletion as a poor prognostic marker in somatic NF1-mutant, but not NF1 wild-type, glioblastoma. Single-nucleus RNA sequencing of human patient NF1-mutant glioblastomas demonstrated that mesenchymal-like (MES-like) tumor cells were enriched for MEK activation signatures. Single-cell RNA-sequencing of mouse intracranial glioblastomas treated with the MEK inhibitor selumetinib identified distinct responses among tumor subpopulations. MEK inhibition selectively depleted MES-like cells, and selumetinib-resistant MES-like cells upregulated Ras signaling while resistant non-MES cells expressed markers of glial differentiation. Finally, genome-wide CRISPR interference screens validated Ras/RAF/MEK signaling as a key mediator of selumetinib response. Repression of the RAF regulator SHOC2 sensitized glioblastomas to selumetinib in vitro and in vivo, suggesting a synergistic treatment strategy. Taken together, these results highlighted the heterogeneity of NF1-mutant glioblastomas and informed future combination therapies.

Authors

Sixuan Pan, Kanish Mirchia, Emily Payne, S. John Liu, Nadeem Al-Adli, Zain Peeran, Poojan Shukla, Jacob S. Young, Rohit Gupta, Jasper Wu, Joanna Pak, Tomoko Ozawa, Brian Na, Alyssa T. Reddy, Steve E. Braunstein, Joanna J. Phillips, Susan Chang, David A. Solomon, Arie Perry, David R. Raleigh, Mitchel S. Berger, Adam R. Abate, Harish N. Vasudevan

×

Guidelines

The Editorial Board will only consider comments that are deemed relevant and of interest to readers. The Journal will not post data that have not been subjected to peer review; or a comment that is essentially a reiteration of another comment.

  • Comments appear on the Journal’s website and are linked from the original article’s web page.
  • Authors are notified by email if their comments are posted.
  • The Journal reserves the right to edit comments for length and clarity.
  • No appeals will be considered.
  • Comments are not indexed in PubMed.

Specific requirements

  • Maximum length, 400 words
  • Entered as plain text or HTML
  • Author’s name and email address, to be posted with the comment
  • Declaration of all potential conflicts of interest (even if these are not ultimately posted); see the Journal’s conflict-of-interest policy
  • Comments may not include figures
This field is required
This field is required
This field is required
This field is required
This field is required
This field is required

Copyright © 2026 American Society for Clinical Investigation
ISSN 2379-3708

Sign up for email alerts