The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
The 70-gene prognosis-signature predicts disease outcome in breast cancer patients with 1–3 positive lymph nodes in an independent validation study
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Citations
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
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
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
Relation of tumor size, lymph node status, and survival in 24,740 breast cancer cases
Carter, C. L., Allen, C., & Henson, D. E. (1989) · Cancer · doi:10.1002/1097-0142(19890101)63:1<181::aid-cncr2820630129>3.0.co;2-h · Cited by 2,288
Buyse, M., Loi, S., van't Veer, L., Viale, G., Delorenzi, M., Glas, A. M., Saghatchian d'Assignies, M., Bergh, J., Lidereau, R., Ellis, P., et al. (2006) · JNCI: Journal of the National Cancer Institute · doi:10.1093/jnci/djj329 · Cited by 1,238
Self-citationRavdin, P. M., Siminoff, L. A., Davis, G. J., Mercer, M. B., Hewlett, J., Gerson, N., & Parker, H. L. (2001) · Journal of Clinical Oncology · doi:10.1200/jco.2001.19.4.980 · Cited by 996
Chang, H. Y., Nuyten, D. S. A., Sneddon, J. B., Hastie, T., Tibshirani, R., Sørlie, T., Dai, H., He, Y. D., van't Veer, L. J., Bartelink, H., et al. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0409462102 · Cited by 981
Self-citationDesmedt, C., Piette, F., Loi, S., Wang, Y., Lallemand, F., Haibe-Kains, B., Viale, G., Delorenzi, M., Zhang, Y., d'Assignies, M. S., et al. (2007) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-06-2765 · Cited by 968
Self-citationLook, M. P., van Putten, W. L. J., Duffy, M. J., Harbeck, N., Christensen, I. J., Thomssen, C., Kates, R., Spyratos, F., Ferno, M., Eppenberger-Castori, S., et al. (2002) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/94.2.116 · Cited by 596
Cited by
MammaPrint guides treatment decisions in breast Cancer: results of the IMPACt trial
Soliman, H., Shah, V., Srkalovic, G., Mahtani, R., Levine, E., Mavromatis, B., Srinivasiah, J., Kassar, M., Gabordi, R., Qamar, R., et al. (2020) · BMC Cancer · doi:10.1186/s12885-020-6534-z · Cited by 65
Metadata
- Authors
- On behalf of the TRANSBIG consortium, Mook, S., Schmidt, M. K., Viale, G., Pruneri, G., Eekhout, I., Floore, A., Glas, A. M., Bogaerts, J., Cardoso, F., Piccart-Gebhart, M. J., Rutgers, E. T., & van’t Veer, L. J.
- Venue
- Breast Cancer Research and Treatment
- Published
- 2008-07-27
- Volume
- 116
- Issue
- 2
- Pages
- 295-302
- ISSN
- 0167-6806 (ISSN-L)
- 1573-7217
- OpenAlex
- W2133615432
- Cited by
- 299
- References
- 18
- FWCI
- 6.87
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: The 70-gene prognosis-signature predicts disease outcome in breast cancer patients with 1–3 positive lymph nodes in an independent validation study. https://app.cochat.ai/papers/10.1007/s10549-008-0130-2
- The paper
- On behalf of the TRANSBIG consortium, Mook, S., Schmidt, M. K., Viale, G., Pruneri, G., Eekhout, I., Floore, A., Glas, A. M., Bogaerts, J., Cardoso, F., Piccart-Gebhart, M. J., Rutgers, E. T., & van’t Veer, L. J. (2009). The 70-gene prognosis-signature predicts disease outcome in breast cancer patients with 1–3 positive lymph nodes in an independent validation study. Breast Cancer Research and Treatment. https://doi.org/10.1007/s10549-008-0130-2
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.