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Cited by 349

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Human breast cancer metastases to the brain display GABAergic properties in the neural niche

Open access
Neman, Josh, Termini, John, Wilczynski, Sharon, Vaidehi, Nagarajan, Choy, Cecilia, Kowolik, Claudia M., Li, Hubert, Hambrecht, Amanda C., Roberts, Eugene, Jandial, Rahul·2014·Proceedings of the National Academy of Sciences

Abstract

Significance: Breast cancer patients typically develop brain metastases years after their initial diagnosis. During this clinical latency, cancer cells must evolve and adapt to the neural microenvironment to colonize. We hypothesized that breast cancer cells may assume brain-like properties to survive in the brain. Our results suggest that metastases overexpress many variables related to the γ-aminobutyric acid (GABA) and were able to proliferate by metabolizing GABA as a biosynthetic energy source. The expression of brain-like properties by breast cancer cells could be a malignant adaptation required for metastasis to the brain, which could potentially be exploited to develop new therapy for breast cancer patients.

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Metadata

Authors
Neman, J., Termini, J., Wilczynski, S., Vaidehi, N., Choy, C., Kowolik, C. M., Li, H., Hambrecht, A. C., Roberts, E., & Jandial, R.
Venue
Proceedings of the National Academy of Sciences
Published
2014-01-06
Volume
111
Issue
3
Pages
984-989
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2066030073
Cited by
349
References
5
FWCI
16.96
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Human breast cancer metastases to the brain display GABAergic properties in the neural niche. https://app.cochat.ai/papers/10.1073/pnas.1322098111
The paper
Neman, J., Termini, J., Wilczynski, S., Vaidehi, N., Choy, C., Kowolik, C. M., Li, H., Hambrecht, A. C., Roberts, E., & Jandial, R. (2014). Human breast cancer metastases to the brain display GABAergic properties in the neural niche. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1322098111

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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.