The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Emerging molecular biomarkers—blood-based strategies to detect and monitor cancer
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Citations
Cites
Lynch, T. J., Bell, D. W., Sordella, R., Gurubhagavatula, S., Okimoto, R. A., Brannigan, B. W., Harris, P. L., Haserlat, S. M., Supko, J. G., Haluska, F. G., et al. (2004) · New England Journal of Medicine · doi:10.1056/nejmoa040938 · Cited by 11,486
Mutations of the BRAF gene in human cancer
Davies, H., Bignell, G. R., Cox, C., Stephens, P., Edkins, S., Clegg, S., Teague, J., Woffendin, H., Garnett, M. J., Bottomley, W., et al. (2002) · Nature · doi:10.1038/nature00766 · Cited by 10,674
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
Pao, W., Miller, V. A., Politi, K. A., Riely, G. J., Somwar, R., Zakowski, M. F., Kris, M. G., & Varmus, H. (2005) · PLoS Medicine · doi:10.1371/journal.pmed.0020073 · Cited by 3,527 · cited 1×
“One of the mechanisms leading to drug resistance is the emergence of secondary EGFR mutations such as the threonine substitution of methionine at position 790 (Thr790Met)”
BackgroundInternational network of cancer genome projects
The International Cancer Genome Consortium (2010) · Nature · doi:10.1038/nature08987 · Cited by 2,299
Detection of Mutations in EGFR in Circulating Lung-Cancer Cells
Maheswaran, S., Sequist, L. V., Nagrath, S., Ulkus, L., Brannigan, B., Collura, C. V., Inserra, E., Diederichs, S., Iafrate, A. J., Bell, D. W., et al. (2008) · New England Journal of Medicine · doi:10.1056/nejmoa0800668 · Cited by 1,617
Network‐based classification of breast cancer metastasis
Chuang, H., Lee, E., Liu, Y., Lee, D., & Ideker, T. (2007) · Molecular Systems Biology · doi:10.1038/msb4100180 · Cited by 1,431
An integrative genomics approach to infer causal associations between gene expression and disease
Schadt, E. E., Lamb, J., Yang, X., Zhu, J., Edwards, S., GuhaThakurta, D., Sieberts, S. K., Monks, S., Reitman, M., Zhang, C., et al. (2005) · Nature Genetics · doi:10.1038/ng1589 · Cited by 1,043
Sequist, L. V., Martins, R. G., Spigel, D., Grunberg, S. M., Spira, A., Jänne, P. A., Joshi, V. A., McCollum, D., Evans, T. L., Muzikansky, A., et al. (2008) · Journal of Clinical Oncology · doi:10.1200/jco.2007.14.8494 · Cited by 820 · cited 1×
“While EGFR tyrosine kinase inhibitor therapy has led to dramatically improved response rates in patients with NSCLC with activating EGFR mutations, the response is often short lived with most patients experiencing tumor progression within 1 year of therapy”
Background
Cited by
Clinical relevance of circulating cell-free microRNAs in cancer
Schwarzenbach, H., Nishida, N., Calin, G. A., & Pantel, K. (2014) · Nature Reviews Clinical Oncology · doi:10.1038/nrclinonc.2014.5 · Cited by 969
Assessing sample and miRNA profile quality in serum and plasma or other biofluids
Blondal, T., Jensby Nielsen, S., Baker, A., Andreasen, D., Mouritzen, P., Wrang Teilum, M., & Dahlsveen, I. K. (2013) · Methods · doi:10.1016/j.ymeth.2012.09.015 · Cited by 687
The human circadian metabolome
Dallmann, R., Viola, A. U., Tarokh, L., Cajochen, C., & Brown, S. A. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1114410109 · Cited by 566
Elevated C-reactive protein in the diagnosis, prognosis, and cause of cancer
Allin, K. H., & Nordestgaard, B. G. (2011) · Critical Reviews in Clinical Laboratory Sciences · doi:10.3109/10408363.2011.599831 · Cited by 553
Circulating miRNA Biomarkers for Alzheimer's Disease
Kumar, P., Dezso, Z., MacKenzie, C., Oestreicher, J., Agoulnik, S., Byrne, M., Bernier, F., Yanagimachi, M., Aoshima, K., & Oda, Y. (2013) · PLoS ONE · doi:10.1371/journal.pone.0069807 · Cited by 381
Metadata
- Authors
- Hanash, S. M., Baik, C. S., & Kallioniemi, O.
- Venue
- Nature Reviews Clinical Oncology
- Published
- 2011-03
- Volume
- 8
- Issue
- 3
- Pages
- 142-150
- ISSN
- 1759-4774 (ISSN-L)
- 1759-4782
- OpenAlex
- W2108309679
- Cited by
- 328
- References
- 9
- FWCI
- 1.36
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
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Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Emerging molecular biomarkers—blood-based strategies to detect and monitor cancer. https://app.cochat.ai/papers/10.1038/nrclinonc.2010.220
- The paper
- Hanash, S. M., Baik, C. S., & Kallioniemi, O. (2011). Emerging molecular biomarkers—blood-based strategies to detect and monitor cancer. Nature Reviews Clinical Oncology. https://doi.org/10.1038/nrclinonc.2010.220
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.
