The DOI matches its Crossref record; 56 of the 56 references it cites were found in a registry or an index.
Hypermethylation of CpG Islands in Primary and Metastatic Human Prostate Cancer
Open accessAbstract
Aberrant DNA methylation patterns may be the earliest somatic genome changes in prostate cancer. Using real-time methylation-specific PCR, we assessed the extent of hypermethylation at 16 CpG islands in DNA from seven prostate cancer cell lines (LNCaP, PC-3, DU-145, LAPC-4, CWR22Rv1, VCaP, and C42B), normal prostate epithelial cells, normal prostate stromal cells, 73 primary prostate cancers, 91 metastatic prostate cancers, and 25 noncancerous prostate tissues. We found that CpG islands at GSTP1, APC, RASSF1a, PTGS2, and MDR1 were hypermethylated in >85% of prostate cancers and cancer cell lines but not in normal prostate cells and tissues; CpG islands at EDNRB, ESR1, CDKN2a, and hMLH1 exhibited low to moderate rates of hypermethylation in prostate cancer tissues and cancer cell lines but were entirely unmethylated in normal tissues; and CpG islands at DAPK1, TIMP3, MGMT, CDKN2b, p14/ARF, and CDH1 were not abnormally hypermethylated in prostate cancers. Receiver operator characteristic curve analyses suggested that CpG island hypermethylation changes at GSTP1, APC, RASSF1a, PTGS2, and MDR1 in various combinations can distinguish primary prostate cancer from benign prostate tissues with sensitivities of 97.3–100% and specificities of 92–100%. Hypermethylation of the CpG island at EDNRB was correlated with the grade and stage of the primary prostate cancers. PTGS2 CpG island hypermethylation portended an increased risk of recurrence. Furthermore, CpG island hypermethylation patterns in prostate cancer metastases were very similar to the primary prostate cancers and tended to show greater differences between cases than between anatomical sites of metastasis.
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Golub, G. (2012) · doi:10.56021/9781421407944 · Cited by 34,505
Molecular portraits of human breast tumours
Perou, C. M., Sørlie, T., Eisen, M. B., van de Rijn, M., Jeffrey, S. S., Rees, C. A., Pollack, J. R., Ross, D. T., Johnsen, H., Akslen, L. A., et al. (2000) · Nature · doi:10.1038/35021093 · Cited by 16,261
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
Jemal, A., Murray, T., Samuels, A., Ghafoor, A., Ward, E., & Thun, M. J. (2003) · CA: A Cancer Journal for Clinicians · doi:10.3322/canjclin.53.1.5 · Cited by 3,275
Cyclooxygenases: Structural, cellular, and molecular biology
Smith, W. L., DeWitt, D. L., & Garavito, R. M. (2000) · Annual Review of Biochemistry · doi:10.1146/annurev.biochem.69.1.145 · Cited by 2,925
A molecular signature of metastasis in primary solid tumors
Ramaswamy, S., Ross, K. N., Lander, E. S., & Golub, T. R. (2003) · Nature Genetics · doi:10.1038/ng1060 · Cited by 2,449
Measurement of Prostate-Specific Antigen in Serum as a Screening Test for Prostate Cancer
Catalona, W. J., Smith, D. S., Ratliff, T. L., Dodds, K. M., Coplen, D. E., Yuan, J. J. J., Petros, J. A., & Andriole, G. L. (1991) · New England Journal of Medicine · doi:10.1056/nejm199104253241702 · Cited by 2,361
A gene hypermethylation profile of human cancer.
Esteller, M., Corn, P. G., Baylin, S. B., & Herman, J. G. (2001) · PubMed · Cited by 2,032
Prevalence of ras gene mutations in human colorectal cancers
Bos, J. L., Fearon, E. R., Hamilton, S. R., Vries, M. V., van Boom, J. H., van der Eb, A. J., & Vogelstein, B. (1987) · Nature · doi:10.1038/327293a0 · Cited by 1,860
Cited by
Greenhough, A., Smartt, H. J. M., Moore, A. E., Roberts, H. R., Williams, A. C., Paraskeva, C., & Kaidi, A. (2009) · Carcinogenesis · doi:10.1093/carcin/bgp014 · Cited by 1,220
DNA methylation profiling in the clinic: applications and challenges
Heyn, H., & Esteller, M. (2012) · Nature Reviews Genetics · doi:10.1038/nrg3270 · Cited by 746
Cyclooxygenases in cancer: progress and perspective
Zha, S., Yegnasubramanian, V., Nelson, W. G., Isaacs, W. B., & De Marzo, A. M. (2004) · Cancer Letters · doi:10.1016/j.canlet.2004.06.014 · Cited by 389
Self-citationEpigenetic Changes in Prostate Cancer: Implication for Diagnosis and Treatment
Li, L.-C., Carroll, P. R., & Dahiya, R. (2005) · JNCI: Journal of the National Cancer Institute · doi:10.1093/jnci/dji010 · Cited by 299
Yegnasubramanian, S., Haffner, M. C., Zhang, Y., Gurel, B., Cornish, T. C., Wu, Z., Irizarry, R. A., Morgan, J., Hicks, J., DeWeese, T. L., et al. (2008) · Cancer Research · doi:10.1158/0008-5472.can-07-6088 · Cited by 294
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Metadata
- Authors
- Yegnasubramanian, S., Kowalski, J., Gonzalgo, M. L., Zahurak, M., Piantadosi, S., Walsh, P. C., Bova, G. S., De Marzo, A. M., Isaacs, W. B., & Nelson, W. G.
- Venue
- Cancer Research
- Published
- 2004-03-15
- Volume
- 64
- Issue
- 6
- Pages
- 1975-1986
- ISSN
- 0008-5472 (ISSN-L)
- 1538-7445
- OpenAlex
- W2115314035
- Cited by
- 527
- References
- 56
- FWCI
- 11.48
- Type
- journal article
- Language
- en
- Open access
- bronze
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