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Showing results (21-30 of 29) with videos related to

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Cell & Bioscience|March 17, 2015
Int6 reduction activates stromal fibroblasts to enhance transforming activity in breast epithelial cellsJinfeng Suo, Daniel Medina, Sabrina Herrera, et al.
Scientific Reports|May 20, 2017
Phosphoserine aminotransferase 1 is associated to poor outcome on tamoxifen therapy in recurrent breast cancerTommaso De Marchi, Mieke A Timmermans, Anieta M Sieuwerts, et al.
Journal of Proteome Research|January 23, 2015
Integrative analysis of genomics and proteomics data on clinical breast cancer tissue specimens extracted with acid guanidinium thiocyanate-phenol-chloroformRené B H Braakman, Karel Bezstarosti, Anieta M Sieuwerts, et al.
Journal of Proteome Research|March 10, 2016
Targeted MS Assay Predicting Tamoxifen Resistance in Estrogen-Receptor-Positive Breast Cancer Tissues and SeraTommaso De Marchi, Erik Kuhn, Lennard J Dekker, et al.
Oncotarget|December 15, 2015
Annexin-A1 and caldesmon are associated with resistance to tamoxifen in estrogen receptor positive recurrent breast cancerTommaso De Marchi, Anne M Timmermans, Marcel Smid, et al.
Molecular Oncology|August 20, 2015
4-protein signature predicting tamoxifen treatment outcome in recurrent breast cancerTommaso De Marchi, Ning Qing Liu, Cristoph Stingl, et al.
Scientific Reports|August 26, 2016
Prognostic significance of nuclear expression of UMP-CMP kinase in triple negative breast cancer patientsNing Qing Liu, Tommaso De Marchi, Annemieke Timmermans, et al.
Molecular & Cellular Proteomics : MCP|April 19, 2014
Ferritin heavy chain in triple negative breast cancer: a favorable prognostic marker that relates to a cluster of differentiation 8 positive (CD8+) effector T-cell responseNing Qing Liu, Tommaso De Marchi, Annemieke M Timmermans, et al.
Journal of the National Cancer Institute|January 9, 2014
Comparative proteome analysis revealing an 11-protein signature for aggressive triple-negative breast cancerNing Qing Liu, Christoph Stingl, Maxime P Look, et al.
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Showing results (21-30 of 29) with videos related to

Sort By:
Pageof 3
You have reached the last page of results.This site can display upto 29 results.
Cell & Bioscience|March 17, 2015
Int6 reduction activates stromal fibroblasts to enhance transforming activity in breast epithelial cellsJinfeng Suo, Daniel Medina, Sabrina Herrera, et al.
Scientific Reports|May 20, 2017
Phosphoserine aminotransferase 1 is associated to poor outcome on tamoxifen therapy in recurrent breast cancerTommaso De Marchi, Mieke A Timmermans, Anieta M Sieuwerts, et al.
Journal of Proteome Research|January 23, 2015
Integrative analysis of genomics and proteomics data on clinical breast cancer tissue specimens extracted with acid guanidinium thiocyanate-phenol-chloroformRené B H Braakman, Karel Bezstarosti, Anieta M Sieuwerts, et al.
Journal of Proteome Research|March 10, 2016
Targeted MS Assay Predicting Tamoxifen Resistance in Estrogen-Receptor-Positive Breast Cancer Tissues and SeraTommaso De Marchi, Erik Kuhn, Lennard J Dekker, et al.
Oncotarget|December 15, 2015
Annexin-A1 and caldesmon are associated with resistance to tamoxifen in estrogen receptor positive recurrent breast cancerTommaso De Marchi, Anne M Timmermans, Marcel Smid, et al.
Molecular Oncology|August 20, 2015
4-protein signature predicting tamoxifen treatment outcome in recurrent breast cancerTommaso De Marchi, Ning Qing Liu, Cristoph Stingl, et al.
Scientific Reports|August 26, 2016
Prognostic significance of nuclear expression of UMP-CMP kinase in triple negative breast cancer patientsNing Qing Liu, Tommaso De Marchi, Annemieke Timmermans, et al.
Molecular & Cellular Proteomics : MCP|April 19, 2014
Ferritin heavy chain in triple negative breast cancer: a favorable prognostic marker that relates to a cluster of differentiation 8 positive (CD8+) effector T-cell responseNing Qing Liu, Tommaso De Marchi, Annemieke M Timmermans, et al.
Journal of the National Cancer Institute|January 9, 2014
Comparative proteome analysis revealing an 11-protein signature for aggressive triple-negative breast cancerNing Qing Liu, Christoph Stingl, Maxime P Look, et al.
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