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Guidelines and considerations for conducting experiments using tissue microarrays.
Ilyas M, Grabsch H, Ellis IO, Womack C, Brown R, Berney D, Fennell D, Salto-Tellez M, Jenkins M, Landberg G, Byers R, Treanor D, Harrison D, Green AR, Ball G, Hamilton P; National Cancer Research Institute (UK) Biomarker and Imaging Clinical Studies Group. Ilyas M, et al. Among authors: ellis io. Histopathology. 2013 May;62(6):827-39. doi: 10.1111/his.12118. Epub 2013 Apr 12. Histopathology. 2013. PMID: 23672312 Review.
A prototype methodology combining surface-enhanced laser desorption/ionization protein chip technology and artificial neural network algorithms to predict the chemoresponsiveness of breast cancer cell lines exposed to Paclitaxel and Doxorubicin under in vitro conditions.
Mian S, Ball G, Hornbuckle J, Holding F, Carmichael J, Ellis I, Ali S, Li G, McArdle S, Creaser C, Rees R. Mian S, et al. Proteomics. 2003 Sep;3(9):1725-37. doi: 10.1002/pmic.200300526. Proteomics. 2003. PMID: 12973733
High-throughput protein expression analysis using tissue microarray technology of a large well-characterised series identifies biologically distinct classes of breast cancer confirming recent cDNA expression analyses.
Abd El-Rehim DM, Ball G, Pinder SE, Rakha E, Paish C, Robertson JF, Macmillan D, Blamey RW, Ellis IO. Abd El-Rehim DM, et al. Among authors: ellis io. Int J Cancer. 2005 Sep 1;116(3):340-50. doi: 10.1002/ijc.21004. Int J Cancer. 2005. PMID: 15818618 Free article.
Chromosome 16 tumor-suppressor genes in breast cancer.
Rakha EA, Green AR, Powe DG, Roylance R, Ellis IO. Rakha EA, et al. Among authors: ellis io. Genes Chromosomes Cancer. 2006 Jun;45(6):527-35. doi: 10.1002/gcc.20318. Genes Chromosomes Cancer. 2006. PMID: 16518845 Review.
Prognostic markers in triple-negative breast cancer.
Rakha EA, El-Sayed ME, Green AR, Lee AH, Robertson JF, Ellis IO. Rakha EA, et al. Among authors: ellis io. Cancer. 2007 Jan 1;109(1):25-32. doi: 10.1002/cncr.22381. Cancer. 2007. PMID: 17146782 Free article.
763 results