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Cancer proteomics response prediction

Ma Y, Ding Z, Qian Y et al. Predicting cancer drug response by proteomic profiling. Clin Cancer Res 2006 12 4583 589. [Pg.297]

Gonzalez-Angulo AM, Hennessy BT, Meric-Bernstam F et al (2011) Fimctional proteomics can define prognosis and predict pathologic complete response in patients with breast cancer. Clin Proteomics 8 11... [Pg.214]

Furthermore, it is critical for physicians to determine which combination of treatment is most suitable for each individual patient. However, it still remains challenging to make an accurate predictive assessment of a patient s risk or response to certain treatment regimens. Advances in microarray technology promise breakthroughs in personalized medicine for breast cancer treatment. To date, the prediction models based on microarray technology for breast cancer have focused mainly on either transcriptional profiles or proteomic profiles, instead of the integrated transcriptional and proteomic profiles. [Pg.295]


See other pages where Cancer proteomics response prediction is mentioned: [Pg.145]    [Pg.288]    [Pg.293]    [Pg.203]    [Pg.293]    [Pg.119]    [Pg.179]    [Pg.3048]    [Pg.736]    [Pg.178]    [Pg.593]    [Pg.151]    [Pg.560]    [Pg.286]    [Pg.150]    [Pg.498]   
See also in sourсe #XX -- [ Pg.131 ]




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