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The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Endogenous Myc maintains the tumor microenvironment

Open access
Sodir, Nicole M., Swigart, Lamorna Brown, Karnezis, Anthony N., Hanahan, Douglas, Evan, Gerard I., Soucek, Laura·2011·Genes & Development

Abstract

The ubiquitous deregulation of Myc in human cancers makes it an intriguing therapeutic target, a notion supported by recent studies in Ras-driven lung tumors showing that inhibiting endogenous Myc triggers ubiquitous tumor regression. However, neither the therapeutic mechanism nor the applicability of Myc inhibition to other tumor types driven by other oncogenic mechanisms is established. Here, we show that inhibition of endogenous Myc also triggers ubiquitous regression of tumors in a simian virus 40 (SV40)-driven pancreatic islet tumor model. Such regression is presaged by collapse of the tumor microenvironment and involution of tumor vasculature. Hence, in addition to its diverse intracellular roles, endogenous Myc serves an essential and nonredundant role in coupling diverse intracellular oncogenic pathways to the tumor microenvironment, further bolstering its credentials as a pharmacological target.

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Metadata

Authors
Sodir, N. M., Swigart, L. B., Karnezis, A. N., Hanahan, D., Evan, G. I., & Soucek, L.
Venue
Genes & Development
Published
2011-04-08
Volume
25
Issue
9
Pages
907-916
ISSN
  • 0890-9369 (ISSN-L)
  • 1549-5477
OpenAlex
W2033901119
Cited by
179
References
4
Type
posted content
Language
en
Open access
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CoChat. (2026). Citation check: Endogenous Myc maintains the tumor microenvironment. https://app.cochat.ai/papers/10.1101/gad.2038411
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Sodir, N. M., Swigart, L. B., Karnezis, A. N., Hanahan, D., Evan, G. I., & Soucek, L. (2011). Endogenous Myc maintains the tumor microenvironment. Genes & Development. https://doi.org/10.1101/gad.2038411

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.