The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
An expression signature for p53 status in human breast cancer predicts mutation status, transcriptional effects, and patient survival
Open accessAbstract
Perturbations of the p53 pathway are associated with more aggressive and therapeutically refractory tumors. However, molecular assessment of p53 status, by using sequence analysis and immunohistochemistry, are incomplete assessors of p53 functional effects. We posited that the transcriptional fingerprint is a more definitive downstream indicator of p53 function. Herein, we analyzed transcript profiles of 251 p53-sequenced primary breast tumors and identified a clinically embedded 32-gene expression signature that distinguishes p53-mutant and wild-type tumors of different histologies and outperforms sequence-based assessments of p53 in predicting prognosis and therapeutic response. Moreover, the p53 signature identified a subset of aggressive tumors absent of sequence mutations in p53 yet exhibiting expression characteristics consistent with p53 deficiency because of attenuated p53 transcript levels. Our results show the primary importance of p53 functional status in predicting clinical breast cancer behavior.
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“In breast cancer, different p53 gene signatures were shown to predict prognosis and survival in estrogen receptor‐positive breast cancer [104, 105, 106, 107].”
From The TP53 tumor suppressor gene: From molecular biology to clinical investigations (2025) · cites this paper as [105]
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Cites
The Nature of Statistical Learning Theory
Vapnik, V. N. (1995) · doi:10.1007/978-1-4757-2440-0 · Cited by 39,138
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
p53 Mutations in Human Cancers
Hollstein, M., Sidransky, D., Vogelstein, B., & Harris, C. C. (1991) · Science · doi:10.1126/science.1905840 · Cited by 8,018
Cited by
Lehmann, B. D., Bauer, J. A., Chen, X., Sanders, M. E., Chakravarthy, A. B., Shyr, Y., & Pietenpol, J. A. (2011) · Journal of Clinical Investigation · doi:10.1172/jci45014 · Cited by 5,592
Györffy, B., Lanczky, A., Eklund, A. C., Denkert, C., Budczies, J., Li, Q., & Szallasi, Z. (2010) · Breast Cancer Research and Treatment · doi:10.1007/s10549-009-0674-9 · Cited by 4,169
The Hippo transducer TAZ confers cancer stem cell-related traits on breast cancer cells
Cordenonsi, M., Zanconato, F., Azzolin, L., Forcato, M., Rosato, A., Frasson, C., Inui, M., Montagner, M., Parenti, A. R., Poletti, A., et al. (2011) · Cell · doi:10.1016/j.cell.2011.09.048 · Cited by 1,381
Metabolite profiling identifies a key role for glycine in rapid cancer cell proliferation
Jain, M., Nilsson, R., Sharma, S., Madhusudhan, N., Kitami, T., Souza, A. L., Kafri, R., Kirschner, M. W., Clish, C. B., & Mootha, V. K. (2012) · Science · doi:10.1126/science.1218595 · Cited by 1,403
A Global Map of p53 Transcription-Factor Binding Sites in the Human Genome
Wei, C.-L., Wu, Q., Vega, V. B., Chiu, K. P., Ng, P., Zhang, T., Shahab, A., Yong, H. C., Fu, Y., Weng, Z., et al. (2006) · Cell · doi:10.1016/j.cell.2005.10.043 · Cited by 1,141
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Metadata
- Authors
- Miller, L. D., Smeds, J., George, J., Vega, V. B., Vergara, L., Ploner, A., Pawitan, Y., Hall, P., Klaar, S., Liu, E. T., & Bergh, J.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2005-09-02
- Volume
- 102
- Issue
- 38
- Pages
- 13550-13555
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W1607267312
- Cited by
- 1,268
- References
- 3
- FWCI
- 27.98
- Type
- journal article
- Language
- en
- Open access
- green
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- Miller, L. D., Smeds, J., George, J., Vega, V. B., Vergara, L., Ploner, A., Pawitan, Y., Hall, P., Klaar, S., Liu, E. T., & Bergh, J. (2005). An expression signature for p53 status in human breast cancer predicts mutation status, transcriptional effects, and patient survival. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0506230102
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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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