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Cited by 887

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Gene expression profiles of human breast cancer progression

Open access
Ma, Xiao-Jun, Salunga, Ranelle, Tuggle, J. Todd, Gaudet, Justin, Enright, Edward, McQuary, Philip, Payette, Terry, Pistone, Maria, Stecker, Kimberly, Zhang, Brian M., Zhou, Yi-Xiong, Varnholt, Heike, Smith, Barbara, Gadd, Michelle, Chatfield, Erica, Kessler, Jessica, Baer, Thomas M., Erlander, Mark G., Sgroi, Dennis C.·2003·Proceedings of the National Academy of Sciences

Abstract

Although distinct pathological stages of breast cancer have been described, the molecular differences among these stages are largely unknown. Here, through the combined use of laser capture microdissection and DNA microarrays, we have generated in situ gene expression profiles of the premalignant, preinvasive, and invasive stages of human breast cancer. Our data reveal extensive similarities at the transcriptome level among the distinct stages of progression and suggest that gene expression alterations conferring the potential for invasive growth are already present in the preinvasive stages. In contrast to tumor stage, different tumor grades are associated with distinct gene expression signatures. Furthermore, a subset of genes associated with high tumor grade is quantitatively correlated with the transition from preinvasive to invasive growth.

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Metadata

Authors
Ma, X.-J., Salunga, R., Tuggle, J. T., Gaudet, J., Enright, E., McQuary, P., Payette, T., Pistone, M., Stecker, K., Zhang, B. M., Zhou, Y.-X., Varnholt, H., Smith, B., Gadd, M., Chatfield, E., Kessler, J., Baer, T. M., Erlander, M. G., & Sgroi, D. C.
Venue
Proceedings of the National Academy of Sciences
Published
2003-04-24
Volume
100
Issue
10
Pages
5974-5979
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2103543394
Cited by
887
References
2
FWCI
19.42
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Gene expression profiles of human breast cancer progression. https://app.cochat.ai/papers/10.1073/pnas.0931261100
The paper
Ma, X.-J., Salunga, R., Tuggle, J. T., Gaudet, J., Enright, E., McQuary, P., Payette, T., Pistone, M., Stecker, K., Zhang, B. M., Zhou, Y.-X., Varnholt, H., Smith, B., Gadd, M., Chatfield, E., Kessler, J., Baer, T. M., Erlander, M. G., & Sgroi, D. C. (2003). Gene expression profiles of human breast cancer progression. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0931261100

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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.