The DOI matches its Crossref record; 65 of the 65 references it cites were found in a registry or an index.
A gene expression signature identifies two prognostic subgroups of basal breast cancer
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Subramanian, A., Tamayo, P., Mootha, V. K., Mukherjee, S., Ebert, B. L., Gillette, M. A., Paulovich, A., Pomeroy, S. L., Golub, T. R., Lander, E. S., et al. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0506580102 · Cited by 53,625
Sørlie, T., Perou, C. M., Tibshirani, R., Aas, T., Geisler, S., Johnsen, H., Hastie, T., Eisen, M. B., van de Rijn, M., Jeffrey, S. S., et al. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.191367098 · Cited by 10,938
Exploration, normalization, and summaries of high density oligonucleotide array probe level data
Irizarry, R. A. (2003) · Biostatistics · doi:10.1093/biostatistics/4.2.249 · Cited by 10,603
Gene expression profiling predicts clinical outcome of breast cancer
van 't Veer, L. J., Dai, H., van de Vijver, M. J., He, Y. D., Hart, A. A. M., Mao, M., Peterse, H. L., van der Kooy, K., Marton, M. J., Witteveen, A. T., et al. (2002) · Nature · doi:10.1038/415530a · Cited by 9,536
A Gene-Expression Signature as a Predictor of Survival in Breast Cancer
van de Vijver, M. J., He, Y. D., van 't Veer, L. J., Dai, H., Hart, A. A. M., Voskuil, D. W., Schreiber, G. J., Peterse, J. L., Roberts, C., Marton, M. J., et al. (2002) · New England Journal of Medicine · doi:10.1056/nejmoa021967 · Cited by 6,488
A Multigene Assay to Predict Recurrence of Tamoxifen-Treated, Node-Negative Breast Cancer
Paik, S., Shak, S., Tang, G., Kim, C., Baker, J., Cronin, M., Baehner, F. L., Walker, M. G., Watson, D., Park, T., et al. (2004) · New England Journal of Medicine · doi:10.1056/nejmoa041588 · Cited by 6,277
Repeated observation of breast tumor subtypes in independent gene expression data sets
Sørlie, T., Tibshirani, R., Parker, J., Hastie, T., Marron, J. S., Nobel, A., Deng, S., Johnsen, H., Pesich, R., Geisler, S., et al. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0932692100 · Cited by 5,429
Supervised Risk Predictor of Breast Cancer Based on Intrinsic Subtypes
Parker, J. S., Mullins, M., Cheang, M. C. U., Leung, S., Voduc, D., Vickery, T., Davies, S., Fauron, C., He, X., Hu, Z., et al. (2009) · Journal of Clinical Oncology · doi:10.1200/jco.2008.18.1370 · Cited by 4,721
NF-κB regulation in the immune system
Li, Q., & Verma, I. M. (2002) · Nature Reviews Immunology · doi:10.1038/nri910 · Cited by 4,007
Race, Breast Cancer Subtypes, and Survival in the Carolina Breast Cancer Study
Carey, L. A., Perou, C. M., Livasy, C. A., Dressler, L. G., Cowan, D., Conway, K., Karaca, G., Troester, M. A., Tse, C. K., Edmiston, S., et al. (2006) · JAMA · doi:10.1001/jama.295.21.2492 · Cited by 3,819
Cited by
Triple-negative breast cancer: challenges and opportunities of a heterogeneous disease
Bianchini, G., Balko, J. M., Mayer, I. A., Sanders, M. E., & Gianni, L. (2016) · Nature Reviews Clinical Oncology · doi:10.1038/nrclinonc.2016.66 · Cited by 3,079
Correlating transcriptional networks to breast cancer survival: a large-scale coexpression analysis
Clarke, C., Madden, S. F., Doolan, P., Aherne, S. T., Joyce, H., O’Driscoll, L., Gallagher, W. M., Hennessy, B. T., Moriarty, M., Crown, J., et al. (2013) · Carcinogenesis · doi:10.1093/carcin/bgt208 · Cited by 849
Prognostic and predictive value of PDL1 expression in breast cancer
Sabatier, R., Finetti, P., Mamessier, E., Adelaide, J., Chaffanet, M., Ali, H. R., Viens, P., Caldas, C., Birnbaum, D., & Bertucci, F. (2015) · Oncotarget · doi:10.18632/oncotarget.3216 · Cited by 508
Self-citationLefort, S., Joffre, C., Kieffer, Y., Givel, A.-M., Bourachot, B., Zago, G., Bieche, I., Dubois, T., Meseure, D., Vincent-Salomon, A., et al. (2014) · Autophagy · doi:10.4161/15548627.2014.981788 · Cited by 173
Effect of ASCO/CAP guidelines for determining ER status on molecular subtype
Deyarmin, B., Kane, J. L., Valente, A. L., van Laar, R., Gallagher, C., Shriver, C. D., & Ellsworth, R. E. (2013) · Annals of Surgical Oncology · doi:10.1245/s10434-012-2588-8 · Cited by 149
Metadata
- Authors
- Sabatier, R., Finetti, P., Cervera, N., Lambaudie, E., Esterni, B., Mamessier, E., Tallet, A., Chabannon, C., Extra, J.-M., Jacquemier, J., Viens, P., Birnbaum, D., & Bertucci, F.
- Venue
- Breast Cancer Research and Treatment
- Published
- 2010-05-21
- Volume
- 126
- Issue
- 2
- Pages
- 407-420
- ISSN
- 0167-6806 (ISSN-L)
- 1573-7217
- OpenAlex
- W2007997332
- Cited by
- 290
- References
- 65
- FWCI
- 5.33
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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- This page
- CoChat. (2026). Citation check: A gene expression signature identifies two prognostic subgroups of basal breast cancer. https://app.cochat.ai/papers/10.1007/s10549-010-0897-9
- The paper
- Sabatier, R., Finetti, P., Cervera, N., Lambaudie, E., Esterni, B., Mamessier, E., Tallet, A., Chabannon, C., Extra, J.-M., Jacquemier, J., Viens, P., Birnbaum, D., & Bertucci, F. (2011). A gene expression signature identifies two prognostic subgroups of basal breast cancer. Breast Cancer Research and Treatment. https://doi.org/10.1007/s10549-010-0897-9
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.
