Predicting clinical response to anticancer drugs using an ex vivo platform that captures tumour heterogeneity-Reference-Cited by-同舟云学术

Predicting clinical response to anticancer drugs using an ex vivo platform that captures tumour heterogeneity

Published:2015-02-27 Issue:1 Volume:6 Page:
ISSN:2041-1723
Container-title:Nature Communications
language:en
Short-container-title:Nat Commun

Author:

Majumder Biswanath,Baraneedharan Ulaganathan,Thiyagarajan Saravanan,Radhakrishnan Padhma,Narasimhan Harikrishna,Dhandapani Muthu,Brijwani Nilesh,Pinto Dency D.,Prasath Arun,Shanthappa Basavaraja U.,Thayakumar Allen,Surendran Rajagopalan,Babu Govind K.,Shenoy Ashok M.,Kuriakose Moni A.,Bergthold Guillaume,Horowitz Peleg,Loda Massimo,Beroukhim Rameen,Agarwal Shivani,Sengupta Shiladitya,Sundaram Mallikarjun,Majumder Pradip K.

Publisher

Springer Science and Business Media LLC

Subject

General Physics and Astronomy,General Biochemistry, Genetics and Molecular Biology,General Chemistry

Link

http://www.nature.com/articles/ncomms7169.pdf

Reference70 articles.

1. Siena, S., Sartore-Bianchi, A., Di Nicolantonio, F., Balfour, J. & Bardelli, A. Biomarkers predicting clinical outcome of epidermal growth factor receptor-targeted therapy in metastatic colorectal cancer. J. Natl Cancer Inst. 101, 1308–1324 (2009).

2. van't Veer, L. J. & Bernards, R. Enabling personalized cancer medicine through analysis of gene-expression patterns. Nature 452, 564–570 (2008).

3. Samson, D. J., Seidenfeld, J., Ziegler, K. & Aronson, N. Chemotherapy sensitivity and resistance assays: a systematic review. J. Clin. Oncol. 22, 3618–3630 (2004).

4. Barretina, J. et al. The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity. Nature 483, 603–607 (2012).

5. Foekens, J. A. et al. Multicenter validation of a gene expression-based prognostic signature in lymph node-negative primary breast cancer. J. Clin. Oncol. 24, 1665–1671 (2006).

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