Tumor tissue hnRNP M and HSP 90α as potential predictors of disease-specific mortality in patients with early-stage cutaneous head and neck melanoma: a proteomics-based study
Košec, A., Novak, R., Konjevoda, P., Trkulja, V., Bedeković, V. & Grgurević, L. (2019). Tumor tissue hnRNP M and HSP 90α as potential predictors of disease-specific mortality in patients with early-stage cutaneous head and neck melanoma: a proteomics-based study. Oncotarget, 10. (62), 6713-6722. doi: 10.18632/oncotarget.27333
Košec, Andro, et al. "Tumor tissue hnRNP M and HSP 90α as potential predictors of disease-specific mortality in patients with early-stage cutaneous head and neck melanoma: a proteomics-based study." Oncotarget, vol. 10, no. 62, 2019, pp. 6713-6722. https://doi.org/10.18632/oncotarget.27333
Košec, Andro, Ruđer Novak, Paško Konjevoda, Vladimir Trkulja, Vladimir Bedeković and Lovorka Grgurević. "Tumor tissue hnRNP M and HSP 90α as potential predictors of disease-specific mortality in patients with early-stage cutaneous head and neck melanoma: a proteomics-based study." Oncotarget 10, no. 62 (2019): 6713-6722. https://doi.org/10.18632/oncotarget.27333
Košec, A., et al. (2019) 'Tumor tissue hnRNP M and HSP 90α as potential predictors of disease-specific mortality in patients with early-stage cutaneous head and neck melanoma: a proteomics-based study', Oncotarget, 10(62), pp. 6713-6722. doi: 10.18632/oncotarget.27333
Košec A, Novak R, Konjevoda P, Trkulja V, Bedeković V, Grgurević L. Tumor tissue hnRNP M and HSP 90α as potential predictors of disease-specific mortality in patients with early-stage cutaneous head and neck melanoma: a proteomics-based study. Oncotarget [Internet]. 2019 November 19 [cited 2024 November 09];10(62):6713-6722. doi: 10.18632/oncotarget.27333
A. Košec, R. Novak, P. Konjevoda, V. Trkulja, V. Bedeković and L. Grgurević, "Tumor tissue hnRNP M and HSP 90α as potential predictors of disease-specific mortality in patients with early-stage cutaneous head and neck melanoma: a proteomics-based study", Oncotarget, vol. 10, no. 62, pp. 6713-6722, November 2019. [Online]. Available at: https://urn.nsk.hr/urn:nbn:hr:105:118329. [Accessed: 09 November 2024]