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Usage Information

Increased NOS2 predicts poor survival in estrogen receptor–negative breast cancer patients
Sharon A. Glynn, Brenda J. Boersma, Tiffany H. Dorsey, Ming Yi, Harris G. Yfantis, Lisa A. Ridnour, Damali N. Martin, Christopher H. Switzer, Robert S. Hudson, David A. Wink, Dong H. Lee, Robert M. Stephens, Stefan Ambs
Sharon A. Glynn, Brenda J. Boersma, Tiffany H. Dorsey, Ming Yi, Harris G. Yfantis, Lisa A. Ridnour, Damali N. Martin, Christopher H. Switzer, Robert S. Hudson, David A. Wink, Dong H. Lee, Robert M. Stephens, Stefan Ambs
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Research Article Oncology

Increased NOS2 predicts poor survival in estrogen receptor–negative breast cancer patients

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Abstract

Inducible nitric oxide synthase (NOS2) is involved in wound healing, angiogenesis, and carcinogenesis. NOS2 upregulation and increased nitric oxide (NO) production affect the redox state of cells and can induce protein, lipid, and DNA modifications. To investigate whether NOS2 levels influence survival of breast cancer patients, we examined NOS2 expression and its association with tumor markers and survival in 248 breast tumors. In multivariable survival analysis, increased NOS2 predicted inferior survival in women with estrogen receptor α–negative (ER-negative) tumors. Microdissected tumor epithelium from ER-negative tumors with high NOS2 had increased IL-8 and a gene expression signature characteristic of basal-like breast cancer with poor prognosis. In cell culture, NO only induced selected signature genes in ER-negative breast cancer cells. ER transgene expression in ER-negative cells inhibited NO-induced upregulation of the stem cell marker CD44 and other proteins encoded by signature genes, but not of IL-8. Exposure to NO also enhanced cell motility and invasion of ER-negative cells. Last, pathway analysis linked the tumor NOS2 gene signature to c-Myc activation. Thus, NOS2 is associated with a basal-like transcription pattern and poor survival of ER-negative patients.

Authors

Sharon A. Glynn, Brenda J. Boersma, Tiffany H. Dorsey, Ming Yi, Harris G. Yfantis, Lisa A. Ridnour, Damali N. Martin, Christopher H. Switzer, Robert S. Hudson, David A. Wink, Dong H. Lee, Robert M. Stephens, Stefan Ambs

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Usage data is cumulative from June 2025 through June 2026.

Usage JCI PMC
Text version 1,477 100
PDF 203 21
Figure 542 1
Table 262 0
Supplemental data 90 4
Citation downloads 197 0
Totals 2,771 126
Total Views 2,897
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Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.

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ISSN: 0021-9738 (print), 1558-8238 (online)

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