The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Detection of cancer-specific markers amid massive mass spectral data
Open accessAbstract
We propose a comprehensive pattern recognition procedure that will achieve best discrimination between two or more sets of subjects with data in the same coordinate system. Applying the procedure to MS data of proteomic analysis of serum from ovarian cancer patients and serum from cancer-free individuals in the Food and Drug Administration/National Cancer Institute Clinical Proteomics Database, we have achieved perfect discrimination (100% sensitivity, 100% specificity) of patients with ovarian cancer, including early-stage disease, from normal controls for two independent sets of data. Our procedure identifies the best subset of proteomic biomarkers for optimal discrimination between the groups and appears to have higher discriminatory power than other methods reported to date. For large-scale screening for diseases of relatively low prevalence such as ovarian cancer, almost perfect specificity and sensitivity of the detection system is critical to avoid unmanageably high numbers of false-positive cases.
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Self-organized formation of topologically correct feature maps
Kohonen, T. (1982) · Biological Cybernetics · doi:10.1007/bf00337288 · Cited by 9,529
The Jackknife, the Bootstrap and Other Resampling Plans
Efron, B. (1982) · Society for Industrial and Applied Mathematics eBooks · doi:10.1137/1.9781611970319 · Cited by 8,120
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
Cited by
Rules of evidence for cancer molecular-marker discovery and validation
Ransohoff, D. F. (2004) · Nature Reviews Cancer · doi:10.1038/nrc1322 · Cited by 498
Signal in Noise: Evaluating Reported Reproducibility of Serum Proteomic Tests for Ovarian Cancer
Baggerly, K. A., Morris, J. S., Edmonson, S. R., & Coombes, K. R. (2005) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/dji008 · Cited by 294
Lessons from Controversy: Ovarian Cancer Screening and Serum Proteomics
Ransohoff, D. F. (2005) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/dji054 · Cited by 264
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
Biomarkers for early detection of breast cancer: What, when, and where?
LEVENSON, V (2007) · Biochimica et Biophysica Acta (BBA) - General Subjects · doi:10.1016/j.bbagen.2007.01.017 · Cited by 131
Metadata
- Authors
- Zhu, W., Wang, X., Ma, Y., Rao, M., Glimm, J., & Kovach, J. S.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2003-12
- Volume
- 100
- Issue
- 25
- Pages
- 14666-14671
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2084898926
- Cited by
- 184
- References
- 3
- FWCI
- 11.36
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Zhu, W., Wang, X., Ma, Y., Rao, M., Glimm, J., & Kovach, J. S. (2003). Detection of cancer-specific markers amid massive mass spectral data. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.2532248100
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