The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
A Cell Proliferation Signature Is a Marker of Extremely Poor Outcome in a Subpopulation of Breast Cancer Patients
Open accessAbstract
Breast cancer comprises a group of distinct subtypes that despite having similar histologic appearances, have very different metastatic potentials. Being able to identify the biological driving force, even for a subset of patients, is crucially important given the large population of women diagnosed with breast cancer. Here, we show that within a subset of patients characterized by relatively high estrogen receptor expression for their age, the occurrence of metastases is strongly predicted by a homogeneous gene expression pattern almost entirely consisting of cell cycle genes (5-year odds ratio of metastasis, 24.0; 95% confidence interval, 6.0-95.5). Overexpression of this set of genes is clearly associated with an extremely poor outcome, with the 10-year metastasis-free probability being only 24% for the poor group, compared with 85% for the good group. In contrast, this gene expression pattern is much less correlated with the outcome in other patient subpopulations. The methods described here also illustrate the value of combining clinical variables, biological insight, and machine-learning to dissect biological complexity. Our work presented here may contribute a crucial step towards rational design of personalized treatment.
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Molecular portraits of human breast tumours
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Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling
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Self-citationA Gene-Expression Signature as a Predictor of Survival in Breast Cancer
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Self-citationRepeated 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
Gene-expression profiles predict survival of patients with lung adenocarcinoma
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Cristescu, R., Mogg, R., Ayers, M., Albright, A., Murphy, E., Yearley, J., Sher, X., Liu, X. Q., Lu, H., Nebozhyn, M., et al. (2018) · Science · doi:10.1126/science.aar3593 · Cited by 2,301
Molecular analysis of gastric cancer identifies subtypes associated with distinct clinical outcomes
Cristescu, R., Lee, J., Nebozhyn, M., Kim, K.-M., Ting, J. C., Wong, S. S., Liu, J., Yue, Y. G., Wang, J., Yu, K., et al. (2015) · Nature Medicine · doi:10.1038/nm.3850 · Cited by 2,223
Loi, S., Haibe-Kains, B., Desmedt, C., Lallemand, F., Tutt, A. M., Gillet, C., Ellis, P., Harris, A., Bergh, J., Foekens, J. A., et al. (2007) · Journal of Clinical Oncology · doi:10.1200/jco.2006.07.1522 · Cited by 837
Common markers of proliferation
Whitfield, M. L., George, L. K., Grant, G. D., & Perou, C. M. (2006) · Nature Reviews Cancer · doi:10.1038/nrc1802 · Cited by 650
Most Random Gene Expression Signatures Are Significantly Associated with Breast Cancer Outcome
Venet, D., Dumont, J. E., & Detours, V. (2011) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002240 · Cited by 586
Metadata
- Authors
- Dai, H., van't Veer, L., Lamb, J., He, Y. D., Mao, M., Fine, B. M., Bernards, R., van de Vijver, M., Deutsch, P., Sachs, A., Stoughton, R., & Friend, S.
- Venue
- Cancer Research
- Published
- 2005-05-15
- Volume
- 65
- Issue
- 10
- Pages
- 4059-4066
- ISSN
- 0008-5472 (ISSN-L)
- 1538-7445
- OpenAlex
- W2135681892
- Cited by
- 257
- References
- 29
- FWCI
- 10.13
- Type
- journal article
- Language
- en
- Open access
- bronze
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- CoChat. (2026). Citation check: A Cell Proliferation Signature Is a Marker of Extremely Poor Outcome in a Subpopulation of Breast Cancer Patients. https://app.cochat.ai/papers/10.1158/0008-5472.can-04-3953
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- Dai, H., van't Veer, L., Lamb, J., He, Y. D., Mao, M., Fine, B. M., Bernards, R., van de Vijver, M., Deutsch, P., Sachs, A., Stoughton, R., & Friend, S. (2005). A Cell Proliferation Signature Is a Marker of Extremely Poor Outcome in a Subpopulation of Breast Cancer Patients. Cancer Research. https://doi.org/10.1158/0008-5472.can-04-3953
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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