The DOI matches its Crossref record; 64 of the 64 references it cites were found in a registry or an index.
Precision diagnostics: moving towards protein biomarker signatures of clinical utility in cancer
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Cites
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482
On Information and Sufficiency
Kullback, S., & Leibler, R. A. (1951) · The Annals of Mathematical Statistics · doi:10.1214/aoms/1177729694 · Cited by 20,193
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
Spencer, P. M., Cameron, J. L., & Lin, L. (2000) · Cited by 7,202
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
Anderson, N. L., & Anderson, N. G. (2002) · Molecular & Cellular Proteomics · doi:10.1074/mcp.r200007-mcp200 · Cited by 4,414
Glypican-1 identifies cancer exosomes and detects early pancreatic cancer
Melo, S. A., Luecke, L. B., Kahlert, C., Fernandez, A. F., Gammon, S. T., Kaye, J., LeBleu, V. S., Mittendorf, E. A., Weitz, J., Rahbari, N., et al. (2015) · Nature · doi:10.1038/nature14581 · Cited by 2,880
Screening for Prostate Cancer: U.S. Preventive Services Task Force Recommendation Statement
Moyer, V. A., & on behalf of the U.S. Preventive Services Task Force* (2012) · Annals of Internal Medicine · doi:10.7326/0003-4819-157-2-201207170-00459 · Cited by 2,522
Kamisawa, T., Wood, L. D., Itoi, T., & Takaori, K. (2016) · The Lancet · doi:10.1016/s0140-6736(16)00141-0 · Cited by 2,212
Reactivity of a monoclonal antibody with human ovarian carcinoma.
Bast, R. C., Feeney, M., Lazarus, H., Nadler, L. M., Colvin, R. B., & Knapp, R. C. (1981) · Journal of Clinical Investigation · doi:10.1172/jci110380 · Cited by 1,661
Cited by
Nanotechnology in cancer diagnosis: progress, challenges and opportunities
Zhang, Y., Li, M., Gao, X., Chen, Y., & Liu, T. (2019) · Journal of Hematology & Oncology · doi:10.1186/s13045-019-0833-3 · Cited by 510
Integrating Artificial Intelligence and Nanotechnology for Precision Cancer Medicine
Adir, O., Poley, M., Chen, G., Froim, S., Krinsky, N., Shklover, J., Shainsky‐Roitman, J., Lammers, T., & Schroeder, A. (2020) · Advanced Materials · doi:10.1002/adma.201901989 · Cited by 496
Serum biomarker signature-based liquid biopsy for diagnosis of early-stage pancreatic cancer
Mellby, L. D., Nyberg, A. P., Johansen, J. S., Wingren, C., Nordestgaard, B. G., Bojesen, S. E., Mitchell, B. L., Sheppard, B. C., Sears, R. C., & Borrebaeck, C. A. K. (2018) · Journal of Clinical Oncology · doi:10.1200/jco.2017.77.6658 · Cited by 159
Byrne, J. A., Grima, N., Capes-Davis, A., & Labbé, C. (2019) · Biomarker Insights · doi:10.1177/1177271919829162 · Cited by 34
Song, S., Lee, J. U., Jeon, M. J., Kim, S., Lee, C.-N., & Sim, S. J. (2023) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2023.115269 · Cited by 34
Metadata
- Authors
- Borrebaeck, C. A. K.
- Venue
- Nature Reviews Cancer
- Published
- 2017-02-03
- Volume
- 17
- Issue
- 3
- Pages
- 199-204
- ISSN
- 1474-175X (ISSN-L)
- 1474-1768
- OpenAlex
- W2583706707
- Cited by
- 435
- References
- 64
- FWCI
- 4.32
- Type
- journal article
- Language
- en
- Open access
- closed
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- Borrebaeck, C. A. K. (2017). Precision diagnostics: moving towards protein biomarker signatures of clinical utility in cancer. Nature Reviews Cancer. https://doi.org/10.1038/nrc.2016.153
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.