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Cited by 235

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

Breast cancer — one term, many entities?

Open access
Bertos, Nicholas R., Park, Morag·2011·Journal of Clinical Investigation

Abstract

Breast cancer, rather than constituting a monolithic entity, comprises heterogeneous tumors with different clinical characteristics, disease courses, and responses to specific treatments. Tumor-intrinsic features, including classical histological and immunopathological classifications as well as more recently described molecular subtypes, separate breast tumors into multiple groups. Tumor-extrinsic features, including microenvironmental configuration, also have prognostic significance and further expand the list of tumor-defining variables. A better understanding of the features underlying heterogeneity, as well as of the mechanisms and consequences of their interactions, is essential to improve targeting of existing therapies and to develop novel agents addressing specific combinations of features.

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Crossref · 10.1172/jci57100

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Metadata

Authors
Bertos, N. R., & Park, M.
Venue
Journal of Clinical Investigation
Published
2011-10-03
Volume
121
Issue
10
Pages
3789-3796
ISSN
0021-9738 (ISSN-L)
OpenAlex
W2091242368
Cited by
235
References
10
FWCI
7.75
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Breast cancer — one term, many entities? https://app.cochat.ai/papers/10.1172/jci57100
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Bertos, N. R., & Park, M. (2011). Breast cancer — one term, many entities? Journal of Clinical Investigation. https://doi.org/10.1172/jci57100

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.