The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Proteomics: From Basic Research to Diagnostic Application. A Review of Requirements & Needs
Abstract
For several years proteomics research has been expected to lead to the finding of new markers that will translate into clinical tests applicable to samples such as serum, plasma and urine: so-called in vitro diagnostics (IVDs). Attempts to implement technologies applied in proteomics, in particular protein arrays and surface-enhanced laser desorption ionization time-of-flight mass spectrometry (SELDI-TOF MS), as IVD instruments have initiated constructive discussions on opportunities and challenges inherent in such a translation process also with respect to the use of multi-marker profiling approaches and pattern signatures in IVD. Taking into account the role that IVD plays in health care, we describe IVD requirements and needs. Subject to stringent costs versus benefit analyses, IVD has to provide reliable information about a person's condition, prognosis or risk to suffer a disease, thus supporting decisions on treatment or prevention. It is mandatory to fulfill requirements in routine IVD, including disease prevention, diagnosis, prognosis, and treatment monitoring or follow up among others. To fulfill IVD requirements, it is essential to (1) provide diagnostic tests that allow for definite and reliable diagnosis tied to a decision on interventions (prevention, treatment, or nontreatment), (2) meet stringent performance characteristics for each analyte (in particular test accuracy, including both precision of the measurement and trueness of the measurement), and (3) provide adequate diagnostic accuracy, i.e., diagnostic sensitivity and diagnostic specificity, determined by the desired positive and negative predictive values which depend on disease frequency. The fulfillment of essential IVD requirements is mandatory in the regulated environment of modern diagnostics. Addressing IVD needs at an early stage can support a timely and effective transition of findings and developments into routine diagnosis. IVD needs reflect features that are useful in clinical practice. This helps to generate acceptance and assists the implementation process. On the basis of IVD requirements and needs, we outline potential implications for clinical proteomics focused on applied research activities.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Anderson, N. L., & Anderson, N. G. (2002) · Molecular & Cellular Proteomics · doi:10.1074/mcp.r200007-mcp200 · Cited by 4,414
Self-citationUse 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
Assmann, G., Cullen, P., & Schulte, H. (2002) · Circulation · doi:10.1161/hc0302.102575 · Cited by 1,541
Approved IFCC reference method for the measurement of HbA1c in human blood
Jeppsson, J.-O., Kobold, U., Barr, J., Finke, A., Hoelzel, W., Hoshino, T., Miedema, K., Mosca, A., Mauri, P., Paroni, R., et al. (2002) · Clinical Chemistry and Laboratory Medicine · doi:10.1515/cclm.2002.016 · Cited by 655
Cited by
Protein biomarker discovery and validation: the long and uncertain path to clinical utility
Rifai, N., Gillette, M. A., & Carr, S. A. (2006) · Nature Biotechnology · doi:10.1038/nbt1235 · Cited by 1,867
Biomarkers of Cardiovascular Disease: Molecular Basis and Practical Considerations
Vasan, R. S. (2006) · Circulation · doi:10.1161/circulationaha.104.482570 · Cited by 1,212
Clinical proteomics: A need to define the field and to begin to set adequate standards
Mischak, H., Apweiler, R., Banks, R. E., Conaway, M., Coon, J., Dominiczak, A., Ehrich, J. H. H., Fliser, D., Girolami, M., Hermjakob, H., et al. (2007) · PROTEOMICS – Clinical Applications · doi:10.1002/prca.200600771 · Cited by 307
Rojas, K. L., Trilla-Fuertes, L., Gámez-Pozo, A., Chiva, C., Sepúlveda, J., Manso, L., Prado-Vázquez, G., Zapater-Moros, A., López-Vacas, R., Ferrer-Gómez, M., et al. (2019) · ecancermedicalscience · doi:10.3332/ecancer.2019.891 · Cited by 13
Metadata
- Authors
- Vitzthum, F., Behrens, F., Anderson, N. L., & Shaw, J. H.
- Venue
- Journal of Proteome Research
- Publisher
- American Chemical Society (ACS)
- Published
- 2005-06-22
- Volume
- 4
- Issue
- 4
- Pages
- 1086-1097
- ISSN
- 1535-3893 (ISSN-L)
- 1535-3907
- OpenAlex
- W2133267013
- Cited by
- 165
- References
- 4
- FWCI
- 7.26
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Proteomics: From Basic Research to Diagnostic Application. A Review of Requirements & Needs. https://app.cochat.ai/papers/10.1021/pr050080b
- The paper
- Vitzthum, F., Behrens, F., Anderson, N. L., & Shaw, J. H. (2005). Proteomics: From Basic Research to Diagnostic Application. A Review of Requirements & Needs. Journal of Proteome Research. https://doi.org/10.1021/pr050080b
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.