The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.
Identification of biomarkers for ovarian cancer using strong anion-exchange ProteinChips: Potential use in diagnosis and prognosis
Open accessAbstract
One hundred eighty-four serum samples from patients with ovarian cancer ( n = 109), patients with benign tumors ( n = 19), and healthy donors ( n = 56) were analyzed on strong anion-exchange surfaces using surface-enhanced laser desorption/ionization time-of-flight mass spectrometry technology. Univariate and multivariate statistical analyses applied to protein-profiling data obtained from 140 training serum samples identified three biomarker protein panels. The first panel of five candidate protein biomarkers, termed the screening biomarker panel, effectively diagnosed benign and malignant ovarian neoplasia [95.7% sensitivity, 82.6% specificity, 89.2% accuracy, and receiver operating characteristic (ROC) area under the curve of 0.94]. The other two panels, consisting of five and four candidate protein biomarkers each, effectively distinguished between benign and malignant ovarian neoplasia and were therefore referred to as validation biomarker panel I (81.5% sensitivity, 94.9% specificity, 88.2% accuracy, and ROC = 0.94) and validation biomarker panel II (72.8% sensitivity, 94.9% specificity, 83.9% accuracy, and ROC = 0.90). The three ovarian cancer biomarker protein panels correctly diagnosed 41 of the 44 blinded test samples: 21 of 22 malignant ovarian neoplasias [10 of 11 early-stage ovarian cancer (I/II) and 11 of 11 advanced-stage ovarian cancer (III/IV)], 6 of 6 low malignant potential, 5 of the 6 benign tumors, and 9 of 10 normal patient samples. In conclusion, we have discovered three ovarian cancer biomarker protein panels that, when used together, effectively distinguished serum samples from healthy controls and patients with either benign or malignant ovarian neoplasia.
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Greenlee, R. T., Hill-Harmon, M. B., Murray, T., & Thun, M. (2001) · CA: A Cancer Journal for Clinicians · doi:10.3322/canjclin.51.1.15 · Cited by 3,288
Use of proteomic patterns in serum to identify ovarian cancer
Petricoin, E. F., Ardekani, A. M., Hitt, B. A., Levine, P. J., Fusaro, V. A., Steinberg, S. M., Mills, G. B., Simone, C., Fishman, D. A., Kohn, E. C., et al. (2002) · The Lancet · doi:10.1016/s0140-6736(02)07746-2 · Cited by 3,236
A Radioimmunoassay Using a Monoclonal Antibody to Monitor the Course of Epithelial Ovarian Cancer
Bast, R. C., Klug, T. L., John, E. S., Jenison, E., Niloff, J. M., Lazarus, H., Berkowitz, R. S., Leavitt, T., Griffiths, C. T., Parker, L., et al. (1983) · New England Journal of Medicine · doi:10.1056/nejm198310133091503 · Cited by 2,135
Li, J., Zhang, Z., Rosenzweig, J., Wang, Y. Y., & Chan, D. W. (2002) · Clinical Chemistry · doi:10.1093/clinchem/48.8.1296 · Cited by 893
Trends in Cancer Incidence, Survival and Mortality
Estève, J., & Coleman, M. (2009) · Husband and Reznek's Imaging in Oncology, Third Edition · doi:10.3109/9780415874984-2 · Cited by 761
Welsh, J. B., Zarrinkar, P. P., Sapinoso, L. M., Kern, S. G., Behling, C. A., Monk, B. J., Lockhart, D. J., Burger, R. A., & Hampton, G. M. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.98.3.1176 · Cited by 654
Lysophosphatidic Acid as a Potential Biomarker for Ovarian and Other Gynecologic Cancers
Xu, Y. (1998) · JAMA · doi:10.1001/jama.280.8.719 · Cited by 637
The SELDI-TOF MS Approach to Proteomics: Protein Profiling and Biomarker Identification
Issaq, H. J., Veenstra, T. D., Conrads, T. P., & Felschow, D. (2002) · Biochemical and Biophysical Research Communications · doi:10.1006/bbrc.2002.6678 · Cited by 538
Large-Scale Delineation of Secreted Protein Biomarkers Overexpressed in Cancer Tissue and Serum
Welsh, J. B., Sapinoso, L. M., Kern, S. G., Brown, D. A., Liu, T., Bauskin, A. R., Ward, R. L., Hawkins, N. J., Quinn, D. I., Russell, P. J., et al. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0530278100 · Cited by 503
Osteopontin as a Potential Diagnostic Biomarker for Ovarian Cancer
Kim, J.-H. (2002) · JAMA · doi:10.1001/jama.287.13.1671 · Cited by 480
Cited by
Zhang, Z., Bast, R. C., Yu, Y., Li, J., Sokoll, L. J., Rai, A. J., Rosenzweig, J. M., Cameron, B., Wang, Y. Y., Meng, X.-Y., et al. (2004) · Cancer Research · doi:10.1158/0008-5472.can-04-0746 · Cited by 934
Mass Spectrometry as a Diagnostic and a Cancer Biomarker Discovery Tool
Diamandis, E. P. (2004) · Molecular & Cellular Proteomics · doi:10.1074/mcp.r400007-mcp200 · Cited by 631
Multiplexed Immunobead-Based Cytokine Profiling for Early Detection of Ovarian Cancer
Gorelik, E., Landsittel, D. P., Marrangoni, A. M., Modugno, F., Velikokhatnaya, L., Winans, M. T., Bigbee, W. L., Herberman, R. B., & Lokshin, A. E. (2005) · Cancer Epidemiology, Biomarkers & Prevention · doi:10.1158/1055-9965.epi-04-0404 · Cited by 264
Yu, Y., Chen, S., Wang, L.-S., Chen, W.-L., Guo, W.-J., Yan, H., Zhang, W.-H., Peng, C.-H., Zhang, S.-D., Li, H.-W., et al. (2005) · Oncology · doi:10.1159/000084824 · Cited by 93
Zamanian-Daryoush, M., Lindner, D. J., DiDonato, J. A., Wagner, M., Buffa, J., Rayman, P., Parks, J. S., Westerterp, M., Tall, A. R., & Hazen, S. L. (2017) · Oncotarget · doi:10.18632/oncotarget.18666 · Cited by 32
Metadata
- Authors
- Kozak, K. R., Amneus, M. W., Pusey, S. M., Su, F., Luong, M. N., Luong, S. A., Reddy, S. T., & Farias-Eisner, R.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2003-10
- Volume
- 100
- Issue
- 21
- Pages
- 12343-12348
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W1987266144
- Cited by
- 276
- References
- 35
- FWCI
- 28.83
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Kozak, K. R., Amneus, M. W., Pusey, S. M., Su, F., Luong, M. N., Luong, S. A., Reddy, S. T., & Farias-Eisner, R. (2003). Identification of biomarkers for ovarian cancer using strong anion-exchange ProteinChips: Potential use in diagnosis and prognosis. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.2033602100
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