The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.
A refined molecular taxonomy of breast cancer
Open accessAbstract
The current histoclinical breast cancer classification is simple but imprecise. Several molecular classifications of breast cancers based on expression profiling have been proposed as alternatives. However, their reliability and clinical utility have been repeatedly questioned, notably because most of them were derived from relatively small initial patient populations. We analyzed the transcriptomes of 537 breast tumors using three unsupervised classification methods. A core subset of 355 tumors was assigned to six clusters by all three methods. These six subgroups overlapped with previously defined molecular classes of breast cancer, but also showed important differences, notably the absence of an ERBB2 subgroup and the division of the large luminal ER+ group into four subgroups, two of them being highly proliferative. Of the six subgroups, four were ER+/PR+/AR+, one was ER-/PR-/AR+ and one was triple negative (AR-/ER-/PR-). ERBB2-amplified tumors were split between the ER-/PR-/AR+ subgroup and the highly proliferative ER+ LumC subgroup. Importantly, each of these six molecular subgroups showed specific copy-number alterations. Gene expression changes were correlated to specific signaling pathways. Each of these six subgroups showed very significant differences in tumor grade, metastatic sites, relapse-free survival or response to chemotherapy. All these findings were validated on large external datasets including more than 3000 tumors. Our data thus indicate that these six molecular subgroups represent well-defined clinico-biological entities of breast cancer. Their identification should facilitate the detection of novel prognostic factors or therapeutical targets in breast cancer.
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1 retracted
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RetractedRepeated observation of breast tumor subtypes in independent gene expression data sets
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Supervised Risk Predictor of Breast Cancer Based on Intrinsic Subtypes
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Foulkes, W. D., Smith, I. E., & Reis-Filho, J. S. (2010) · New England Journal of Medicine · doi:10.1056/nejmra1001389 · Cited by 4,157
Distant metastasis occurs late during the genetic evolution of pancreatic cancer
Yachida, S., Jones, S., Bozic, I., Antal, T., Leary, R., Fu, B., Kamiyama, M., Hruban, R. H., Eshleman, J. R., Nowak, M. A., et al. (2010) · Nature · doi:10.1038/nature09515 · Cited by 2,502
Phenotypic and molecular characterization of the claudin-low intrinsic subtype of breast cancer
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Genes that mediate breast cancer metastasis to the brain
Bos, P. D., Zhang, X. H.-F., Nadal, C., Shu, W., Gomis, R. R., Nguyen, D. X., Minn, A. J., van de Vijver, M. J., Gerald, W. L., Foekens, J. A., et al. (2009) · Nature · doi:10.1038/nature08021 · Cited by 1,863
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“…mammary epithelial cell hierarchy To test whether our subgroups relate to distinct cells of origins in the mammary gland, we took advantage of 3 published expression profiling datasets of sorted normal mammary epithelial cell subpopulations (Lim et al., 2009; Pece et al., 2010; Raouf et al., 2008).”
BackgroundResultThe molecular portraits of breast tumors are conserved across microarray platforms
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Cited by
Marisa, L., de Reyniès, A., Duval, A., Selves, J., Gaub, M. P., Vescovo, L., Etienne-Grimaldi, M.-C., Schiappa, R., Guenot, D., Ayadi, M., et al. (2013) · PLoS Medicine · doi:10.1371/journal.pmed.1001453 · Cited by 1,507
Self-citationPrognostic 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-citationCell Plasticity and Heterogeneity in Cancer
Marjanovic, N. D., Weinberg, R. A., & Chaffer, C. L. (2013) · Clinical Chemistry · doi:10.1373/clinchem.2012.184655 · Cited by 400
Hereditary breast and ovarian cancer: new genes in confined pathways
Nielsen, F. C., van Overeem Hansen, T., & Sørensen, C. S. (2016) · Nature Reviews Cancer · doi:10.1038/nrc.2016.72 · Cited by 367
Whole-genome sequencing of triple-negative breast cancers in a population-based clinical study
Staaf, J., Glodzik, D., Bosch, A., Vallon-Christersson, J., Reuterswärd, C., Häkkinen, J., Degasperi, A., Amarante, T. D., Saal, L. H., Hegardt, C., et al. (2019) · Nature Medicine · doi:10.1038/s41591-019-0582-4 · Cited by 307
Metadata
- Authors
- Guedj, M., Marisa, L., de Reynies, A., Orsetti, B., Schiappa, R., Bibeau, F., MacGrogan, G., Lerebours, F., Finetti, P., Longy, M., Bertheau, P., Bertrand, F., Bonnet, F., Martin, A. L., Feugeas, J. P., Bièche, I., Lehmann-Che, J., Lidereau, R., Birnbaum, D., Bertucci, F., de Thé, H., & Theillet, C.
- Venue
- Oncogene
- Published
- 2011-07-25
- Volume
- 31
- Issue
- 9
- Pages
- 1196-1206
- ISSN
- 0950-9232 (ISSN-L)
- 1476-5594
- OpenAlex
- W2073049760
- Cited by
- 287
- References
- 36
- FWCI
- 8.24
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Guedj, M., Marisa, L., de Reynies, A., Orsetti, B., Schiappa, R., Bibeau, F., MacGrogan, G., Lerebours, F., Finetti, P., Longy, M., Bertheau, P., Bertrand, F., Bonnet, F., Martin, A. L., Feugeas, J. P., Bièche, I., Lehmann-Che, J., Lidereau, R., Birnbaum, D., . . . Theillet, C. (2012). A refined molecular taxonomy of breast cancer. Oncogene. https://doi.org/10.1038/onc.2011.301
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