The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Molecular Portraits and 70-Gene Prognosis Signature Are Preserved throughout the Metastatic Process of Breast Cancer
Open accessAbstract
Microarray analysis has been shown to improve risk stratification of breast cancer. Breast tumors analyzed by hierarchical clustering of expression patterns of “intrinsic” genes have been reported to subdivide into at least four molecular subtypes that are associated with distinct patient outcomes. Using a supervised method, a 70-gene expression profile has been identified that predicts the later appearance or absence of clinical metastasis in young breast cancer patients. Here, we show that distant metastases display both the same molecular breast cancer subtype as well as the 70-gene prognosis signature as their primary tumors. Our results suggest that the capacity to metastasize is an inherent feature of most breast cancers. Furthermore, our data imply that poor prognosis breast carcinomas classified either by the intrinsic gene set or the 70 prognosis genes represent distinct disease entities that seem sustained throughout the metastatic process.
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Cites
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
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Pancancer survival analysis of cancer hallmark genes
Nagy, Á., Munkácsy, G., & Győrffy, B. (2021) · Scientific Reports · doi:10.1038/s41598-021-84787-5 · Cited by 1,381
Hon, G. C., Hawkins, R. D., Caballero, O. L., Lo, C., Lister, R., Pelizzola, M., Valsesia, A., Ye, Z., Kuan, S., Edsall, L. E., et al. (2012) · Genome Research · doi:10.1101/gr.125872.111 · Cited by 583
Silencing of Irf7 pathways in breast cancer cells promotes bone metastasis through immune escape
Bidwell, B. N., Slaney, C. Y., Withana, N. P., Forster, S., Cao, Y., Loi, S., Andrews, D., Mikeska, T., Mangan, N. E., Samarajiwa, S. A., et al. (2012) · Nature Medicine · doi:10.1038/nm.2830 · Cited by 487
Gajewski, T. F., Louahed, J., & Brichard, V. G. (2010) · The Cancer Journal · doi:10.1097/ppo.0b013e3181eacbd8 · Cited by 250
Al-Ejeh, F., Simpson, P. T., Sanus, J. M., Klein, K., Kalimutho, M., Shi, W., Miranda, M., Kutasovic, J., Raghavendra, A., Madore, J., et al. (2014) · Oncogenesis · doi:10.1038/oncsis.2014.14 · Cited by 107
Metadata
- Authors
- Weigelt, B., Hu, Z., He, X., Livasy, C., Carey, L. A., Ewend, M. G., Glas, A. M., Perou, C. M., & van't Veer, L. J.
- Venue
- Cancer Research
- Published
- 2005-10-15
- Volume
- 65
- Issue
- 20
- Pages
- 9155-9158
- ISSN
- 0008-5472 (ISSN-L)
- 1538-7445
- OpenAlex
- W2109276980
- Cited by
- 332
- References
- 1
- FWCI
- 9.92
- Type
- journal article
- Language
- en
- Open access
- bronze
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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.
