The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Analysis of Serum Proteomic Patterns for Early Cancer Diagnosis: Drawing Attention to Potential Problems
Abstract
In a recent update (1) of already impressive data (2), it was reported that the use of proteomic patterns in serum to diagnose ovarian and prostate cancers can achieve perfect diagnostic sensitivity and specificity. A diagnostic sensitivity and specificity of 100% is unprecedented for any tumor marker known to date and, if reproducible, this finding could have a major impact on the way we diagnose cancer in the future. Over the last 2 years, results reported by several groups (2–6) have suggested that such proteomic patterns, particularly those generated by surface-enhanced laser desorption/ionization time-of-flight (SELDI-TOF) mass spectrometry, may facilitate the early diagnosis of various cancers, including those of the ovary, prostate, breast, and bladder. SELDI-TOF proteomic profiling technology has been reviewed (7,8). The impressive results reported with this new technology were welcomed by scientists, the popular press, the public, and even by politicians (9). Although there has been little published criticism of this methodology (10–12), serious skepticism about its utility has been expressed publicly at various scientific meetings. Many investigators and clinicians have adopted a wait-and-see approach pending the outcomes of prospective clinical studies using this technology which are starting now but will require years to complete.
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Cites
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
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
Statistical strategies for avoiding false discoveries in metabolomics and related experiments
Broadhurst, D. I., & Kell, D. B. (2007) · Metabolomics · doi:10.1007/s11306-006-0037-z · Cited by 817
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
Self-citationBias as a threat to the validity of cancer molecular-marker research
Ransohoff, D. F. (2005) · Nature Reviews Cancer · doi:10.1038/nrc1550 · Cited by 487
DeSouza, L., Diehl, G., Rodrigues, M. J., Guo, J., Romaschin, A. D., Colgan, T. J., & Siu, K. W. M. (2005) · Journal of Proteome Research · doi:10.1021/pr049821j · Cited by 362
Metadata
- Authors
- Diamandis, E. P.
- Venue
- JNCI Journal of the National Cancer Institute
- Publisher
- Oxford University Press (OUP)
- Published
- 2004-03-02
- Volume
- 96
- Issue
- 5
- Pages
- 353-356
- ISSN
- 0027-8874 (ISSN-L)
- 1460-2105
- OpenAlex
- W2105017286
- Cited by
- 399
- References
- 1
- FWCI
- 28.18
- Type
- journal article
- Language
- en
- Open access
- closed
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- Diamandis, E. P. (2004). Analysis of Serum Proteomic Patterns for Early Cancer Diagnosis: Drawing Attention to Potential Problems. JNCI Journal of the National Cancer Institute. https://doi.org/10.1093/jnci/djh056
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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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