Microarray technology and its effect on breast cancer (re)classification and prediction of outcome
- PMID: 14580246
- PMCID: PMC314420
- DOI: 10.1186/bcr732
Microarray technology and its effect on breast cancer (re)classification and prediction of outcome
Similar articles
-
[Molecular classification of breast cancers].Zhonghua Zhong Liu Za Zhi. 2008 Sep;30(9):641-3. Zhonghua Zhong Liu Za Zhi. 2008. PMID: 19173901 Review. Chinese. No abstract available.
-
[Has the time arrived for gene expression use at the bedside?].Bull Cancer. 2008 Mar;95(3):336-43. doi: 10.1684/bdc.2008.0593. Bull Cancer. 2008. PMID: 18390414 Review. French.
-
[DNA microarrays for gene expression profiling of breast cancer: principles and prognostic applications].Pathol Biol (Paris). 2006 Feb;54(1):49-54. doi: 10.1016/j.patbio.2005.02.003. Pathol Biol (Paris). 2006. PMID: 16376179 French.
-
The contribution of gene expression profiling to breast cancer classification, prognostication and prediction: a retrospective of the last decade.J Pathol. 2010 Jan;220(2):263-80. doi: 10.1002/path.2648. J Pathol. 2010. PMID: 19927298 Review.
-
Microarray-based gene expression profiling as a clinical tool for breast cancer management: are we there yet?Int J Surg Pathol. 2009 Aug;17(4):285-302. doi: 10.1177/1066896908328577. Epub 2008 Dec 22. Int J Surg Pathol. 2009. PMID: 19103611 Review.
Cited by
-
Relationships between Reproductive Risk Factors for Breast Cancer and Tumor Molecular Subtypes.Asian Pac J Cancer Prev. 2018 Jul 27;19(7):1767-1770. doi: 10.22034/APJCP.2018.19.7.1767. Asian Pac J Cancer Prev. 2018. PMID: 30049185 Free PMC article.
-
A Five-Gene-Pair-Based Prognostic Signature for Predicting the Relapse Risk of Early Stage ER+ Breast Cancer.Front Genet. 2020 Oct 29;11:566928. doi: 10.3389/fgene.2020.566928. eCollection 2020. Front Genet. 2020. PMID: 33193655 Free PMC article.
References
-
- Sotiriou C, Powles TJ, Mitch Dowsett M, Jazaeri AA, Feldman AL, Assersohn L, Gadisetti C, Libutti SK, Liu ET. Gene expression profiles derived from fine needle aspiration correlate with response to systemic chemotherapy in breast cancer. Breast Cancer Res. 2002;4:R3. doi: 10.1186/bcr433. - DOI - PMC - PubMed
-
- Sørlie T, Perou CM, Tibshirani R, Aas T, Geisler S, Johnsen H, Hastie T, Eisen MB, van de Rijn M, Jeffrey SS. Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications. Proc Natl Acad Sci. 2001;98:10869–10874. doi: 10.1073/pnas.191367098. - DOI - PMC - PubMed
-
- Sørlie T, Tibshirani R, Parker J, Hastie T, Marron JS, Nobel A, Deng S, Johnsen H, Pesich R, Geisler S, Demeter J, Perou CM, Lønning PE, Brown PO, Børresen-Dale A-L, Botstein D. Repeated observation of breast tumor subtypes in independent gene expression data sets. Proc Natl Acad Sci USA. 2003;100:8418–8423. doi: 10.1073/pnas.0932692100. - DOI - PMC - PubMed
-
- van't Veer LJ, Dai H, van de Vijver MJ, He YD, Hart AAM, Mao M, Peterse HL, Van der Kooy K, Marton MJ, Witteveen AT, Schreiber GJ, Kerkhoven RM, Roberts C, Linsley PS, Bernards R, Friend SH. Gene expression profiling predicts clinical outcome of breast cancer. Nature. 2002;415:530–536. doi: 10.1038/415530a. For the Faculty of 1000 evaluation of this article please see: http://breast-cancer-research.com/reports/bcr732.asp#van't - DOI - PubMed
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Medical