The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Integrative genomic and proteomic analysis of prostate cancer reveals signatures of metastatic progression
Open accessAbstract
Molecular profiling of cancer at the transcript level has become routine. Large-scale analysis of proteomic alterations during cancer progression has been a more daunting task. Here, we employed high-throughput immunoblotting in order to interrogate tissue extracts derived from prostate cancer. We identified 64 proteins that were altered in prostate cancer relative to benign prostate and 156 additional proteins that were altered in metastatic disease. An integrative analysis of this compendium of proteomic alterations and transcriptomic data was performed, revealing only 48%-64% concordance between protein and transcript levels. Importantly, differential proteomic alterations between metastatic and clinically localized prostate cancer that mapped concordantly to gene transcripts served as predictors of clinical outcome in prostate cancer as well as other solid tumors.
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Cites
Cluster analysis and display of genome-wide expression patterns
Eisen, M. B., Spellman, P. T., Brown, P. O., & Botstein, D. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.25.14863 · Cited by 16,184
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
The polycomb group protein EZH2 is involved in progression of prostate cancer
Varambally, S., Dhanasekaran, S. M., Zhou, M., Barrette, T. R., Kumar-Sinha, C., Sanda, M. G., Ghosh, D., Pienta, K. J., Sewalt, R. G. A. B., Otte, A. P., et al. (2002) · Nature · doi:10.1038/nature01075 · Cited by 2,717
Self-citationKleer, C. G., Cao, Q., Varambally, S., Shen, R., Ota, I., Tomlins, S. A., Ghosh, D., Sewalt, R. G. A. B., Otte, A. P., Hayes, D. F., et al. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1933744100 · Cited by 1,649
Self-citationSchultz, D. C., Ayyanathan, K., Negorev, D., Maul, G. G., & Rauscher, F. J. (2002) · Genes & Development · doi:10.1101/gad.973302 · Cited by 1,313
Systems Biology and New Technologies Enable Predictive and Preventative Medicine
Hood, L., Heath, J. R., Phelps, M. E., & Lin, B. (2004) · Science · doi:10.1126/science.1104635 · Cited by 1,108 · cited 1×
“To begin to understand prostate cancer progression with a systems perspective, we need to characterize and integrate the molecular components involved (Grubb et al., 2003; Hood et al., 2004; Paweletz et al., 2001; Petricoin et al., 2002).”
BackgroundBiological Actions of Androgens
MOORADIAN, A. D., MORLEY, J. E., & KORENMAN, S. G. (1987) · Endocrine Reviews · doi:10.1210/edrv-8-1-1 · Cited by 1,080
Yu, Y. P., Landsittel, D., Jing, L., Nelson, J., Ren, B., Liu, L., McDonald, C., Thomas, R., Dhir, R., Finkelstein, S., et al. (2004) · Journal of Clinical Oncology · doi:10.1200/jco.2004.05.158 · Cited by 758
Self-citationIdentification and validation of novel androgen-regulated genes in prostate cancer
Velasco, A. M., Gillis, K. A., Li, Y., Brown, E. L., Sadler, T. M., Achilleos, M., Greenberger, L. M., Frost, P., Bai, W., & Zhang, Y. (2004) · Endocrinology · doi:10.1210/en.2004-0311 · Cited by 131 · cited 3×
“developed a meta-analysis of ARGs that represents a cross-comparison of four gene expression (DePrimo et al., 2002; Nelson et al., 2002; Segawa et al., 2002; Velasco et al., 2004) and two SAGE data sets (Waghray et al.”
BackgroundMethod
Cited by
Guo, Z., Yang, X., Sun, F., Jiang, R., Linn, D. E., Chen, H., Chen, H., Kong, X., Melamed, J., Tepper, C. G., et al. (2009) · Cancer Research · doi:10.1158/0008-5472.can-08-3795 · Cited by 880
The androgen receptor fuels prostate cancer by regulating central metabolism and biosynthesis
Massie, C. E., Lynch, A., Ramos‐Montoya, A., Boren, J., Stark, R., Fazli, L., Warren, A., Scott, H., Madhu, B., Sharma, N., et al. (2011) · The EMBO Journal · doi:10.1038/emboj.2011.158 · Cited by 624
Immunosuppressive plasma cells impede T-cell-dependent immunogenic chemotherapy
Shalapour, S., Font-Burgada, J., Di Caro, G., Zhong, Z., Sanchez-Lopez, E., Dhar, D., Willimsky, G., Ammirante, M., Strasner, A., Hansel, D. E., et al. (2015) · Nature · doi:10.1038/nature14395 · Cited by 611
Nuclear MYC protein overexpression is an early alteration in human prostate carcinogenesis
Gurel, B., Iwata, T., M Koh, C., Jenkins, R. B., Lan, F., Van Dang, C., Hicks, J. L., Morgan, J., Cornish, T. C., Sutcliffe, S., et al. (2008) · Modern Pathology · doi:10.1038/modpathol.2008.111 · Cited by 441
Qin, J., Liu, X., Laffin, B., Chen, X., Choy, G., Jeter, C. R., Calhoun-Davis, T., Li, H., Palapattu, G. S., Pang, S., et al. (2012) · Cell Stem Cell · doi:10.1016/j.stem.2012.03.009 · Cited by 317
Metadata
- Authors
- Varambally, S., Yu, J., Laxman, B., Rhodes, D. R., Mehra, R., Tomlins, S. A., Shah, R. B., Chandran, U., Monzon, F. A., Becich, M. J., Wei, J. T., Pienta, K. J., Ghosh, D., Rubin, M. A., & Chinnaiyan, A. M.
- Venue
- Cancer Cell
- Publisher
- Elsevier BV
- Published
- 2005-11
- Volume
- 8
- Issue
- 5
- Pages
- 393-406
- ISSN
- 1535-6108 (ISSN-L)
- OpenAlex
- W1967990571
- Cited by
- 800
- References
- 9
- FWCI
- 24.17
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Varambally, S., Yu, J., Laxman, B., Rhodes, D. R., Mehra, R., Tomlins, S. A., Shah, R. B., Chandran, U., Monzon, F. A., Becich, M. J., Wei, J. T., Pienta, K. J., Ghosh, D., Rubin, M. A., & Chinnaiyan, A. M. (2005). Integrative genomic and proteomic analysis of prostate cancer reveals signatures of metastatic progression. Cancer Cell. https://doi.org/10.1016/j.ccr.2005.10.001
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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.
