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Cited by 877

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Intrinsic subtypes of high-grade bladder cancer reflect the hallmarks of breast cancer biology

Open access
Damrauer, Jeffrey S., Hoadley, Katherine A., Chism, David D., Fan, Cheng, Tiganelli, Christopher J., Wobker, Sara E., Yeh, Jen Jen, Milowsky, Matthew I., Iyer, Gopa, Parker, Joel S., Kim, William Y.·2014·Proceedings of the National Academy of Sciences

Abstract

Significance: The identification of molecular subtype heterogeneity in breast cancer has allowed a deeper understanding of breast cancer biology. We present evidence that there are two intrinsic subtypes of high-grade bladder cancer, basal-like and luminal, which reflect the hallmarks of breast biology. Moreover, we have developed an accurate gene set predictor of molecular subtype, the BASE47, that should allow the incorporation of subtype stratification into clinical trials. Further clinical, etiologic, and therapeutic response associations will be of interest in future investigations.

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Registry

Crossref · 10.1073/pnas.1318376111

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Metadata

Authors
Damrauer, J. S., Hoadley, K. A., Chism, D. D., Fan, C., Tiganelli, C. J., Wobker, S. E., Yeh, J. J., Milowsky, M. I., Iyer, G., Parker, J. S., & Kim, W. Y.
Venue
Proceedings of the National Academy of Sciences
Published
2014-02-11
Volume
111
Issue
8
Pages
3110-3115
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2067964015
Cited by
877
References
7
FWCI
68.40
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Intrinsic subtypes of high-grade bladder cancer reflect the hallmarks of breast cancer biology. https://app.cochat.ai/papers/10.1073/pnas.1318376111
The paper
Damrauer, J. S., Hoadley, K. A., Chism, D. D., Fan, C., Tiganelli, C. J., Wobker, S. E., Yeh, J. J., Milowsky, M. I., Iyer, G., Parker, J. S., & Kim, W. Y. (2014). Intrinsic subtypes of high-grade bladder cancer reflect the hallmarks of breast cancer biology. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1318376111

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.