Resistance-Associated Signatures in Breast Cancer

作者: Balázs Györffy

DOI: 10.1007/978-3-540-46091-6_5

关键词: DoxorubicinBioinformaticsPredictive testingDNA microarrayTopoisomerase inhibitorMitoxantroneGeneChemotherapyBreast cancerMedicine

摘要: A major obstacle in the treatment of breast cancer is lack adequate methods for predicting patient response to a particular chemotherapy regime. To date, single tumour markers have provided limited success. DNA array technologies identifying thousands genes simultaneously can help solve this problem. We investigated cell lines sensitive and resistant topoisomerase inhibitors doxorubicin mitoxantrone. These drugs are used several different protocols. identified top best associated with resistance against each cytostatic agent. applied our gene expression signatures set pre-characterised patients receiving monotherapy. The classified as exhibited longer survival than ones. In summary, study we successfully transferred experimental results clinical problem, managed perform predictive test selected monotherapy protocol. However, many studies been performed using microarrays, producing list same classification It likely that future diagnostic tools will include laboratories, focus on validated technological platforms use large cohorts patients.

参考文章(58)
Hortobágyi G, Docetaxel in breast cancer and a rationale for combination therapy. Oncology. ,vol. 11, pp. 11- 15 ,(1997)
Jan Kornafel, V. Materna, M. Pudelko, Pawel Surowiak, Pawel Surowiak, Pawel Surowiak, M. Zabel, A. Wojnar, B. Györffy, Piotr Dziegiel, R. Matkowski, Elevated metallothionein (MT) expression in invasive ductal breast cancers predicts tamoxifen resistance Histology and Histopathology. ,vol. 20, pp. 1037- 1044 ,(2005) , 10.14670/HH-20.1037
Early Breast Cancer Trialists' Collaborative Group, None, Polychemotherapy for early breast cancer: an overview of the randomised trials The Lancet. ,vol. 352, pp. 930- 942 ,(1998) , 10.1016/S0140-6736(98)03301-7
William S. Dalton, Jeffrey M. Trent, Roald Ravatn, Manasi Ramanna, Michael L. Bittner, Abdel G. Elkahloun, Paul S. Meltzer, Kazuya Kudoh, Khew-Voon Chin, Monitoring the expression profiles of doxorubicin-induced and doxorubicin-resistant cancer cells by cDNA microarray. Cancer Research. ,vol. 60, pp. 4161- 4166 ,(2000)
Jennet M. Harvey, Gary M. Clark, C. Kent Osborne, D. Craig Allred, Estrogen Receptor Status by Immunohistochemistry Is Superior to the Ligand-Binding Assay for Predicting Response to Adjuvant Endocrine Therapy in Breast Cancer Journal of Clinical Oncology. ,vol. 17, pp. 1474- 1474 ,(1999) , 10.1200/JCO.1999.17.5.1474
William E. Evans, Mary V. Relling, Moving towards individualized medicine with pharmacogenomics Nature. ,vol. 429, pp. 464- 468 ,(2004) , 10.1038/NATURE02626
Nicola J Turton, David J Judah, Joan Riley, Reginald Davies, Doron Lipson, Jerry A Styles, Andrew G Smith, Timothy W Gant, Gene expression and amplification in breast carcinoma cells with intrinsic and acquired doxorubicin resistance Oncogene. ,vol. 20, pp. 1300- 1306 ,(2001) , 10.1038/SJ.ONC.1204235
Hermann Lage, Manfred Dietel, Multiple mechanisms confer different drug-resistant phenotypes in pancreatic carcinoma cells. Journal of Cancer Research and Clinical Oncology. ,vol. 128, pp. 349- 357 ,(2002) , 10.1007/S00432-002-0349-Y
T.R. Chen, D. Drabkowski, R.J. Hay, M. Macy, W. Peterson, WiDr is a derivative of another colon adenocarcinoma cell line, HT-29 Cancer Genetics and Cytogenetics. ,vol. 27, pp. 125- 134 ,(1987) , 10.1016/0165-4608(87)90267-6
P. Carter, L. Presta, C. M. Gorman, J. B. Ridgway, D. Henner, W. L. Wong, A. M. Rowland, C. Kotts, M. E. Carver, H. M. Shepard, Humanization of an anti-p185HER2 antibody for human cancer therapy. Proceedings of the National Academy of Sciences of the United States of America. ,vol. 89, pp. 4285- 4289 ,(1992) , 10.1073/PNAS.89.10.4285