61 Evaluation of the synthetic heat shock protein 90 inhibitors NVP-AUY922 and NVP-HSP990 in human prostate cancer tissue

2010 ◽  
Vol 8 (7) ◽  
pp. 28
Author(s):  
M.M. Centenera ◽  
J.L. Treloar ◽  
A. Hanson ◽  
P. Sutherland ◽  
W.D. Tilley ◽  
...  
2017 ◽  
Vol 56 (31) ◽  
pp. 8992-8997 ◽  
Author(s):  
David R. Spiciarich ◽  
Rosalie Nolley ◽  
Sophia L. Maund ◽  
Sean C. Purcell ◽  
Jason Herschel ◽  
...  

Metabolomics ◽  
2018 ◽  
Vol 14 (7) ◽  
Author(s):  
Ana Rita Lima ◽  
Joana Pinto ◽  
Maria de Lourdes Bastos ◽  
Márcia Carvalho ◽  
Paula Guedes de Pinho

2020 ◽  
Author(s):  
Amrita Mitra ◽  
Surya Kant Choubey ◽  
Rajdeep Das ◽  
Pritilata Rout ◽  
T. S Sridhar ◽  
...  

AbstractHistopathology, the gold-standard method for diagnosis of human prostate cancer, is based on the analysis of changes in cellular morphology and tissue architecture in chemically stained tissue sections. Even at the very early stages of cancer with minimal phenotypic changes in cellular morphologies, there might be detectable changes in the expression profiles of proteins. Over the last decade, imaging mass spectrometry has been used to explore the spatial distribution and expression profiles of several molecules with their twodimensional heterogeneity retained across the tissue section. In the present study, using MALDI mass spectrometry based tissue imaging, we report the differential expression of three proteins, vinculin, ribonuclease T2 and 60 kDa heat shock protein across human prostate tissue sections in regions pathologically demarcated as frankly malignant. In an independent analysis, quantitative proteomics revealed that in cancerous prostate tissues, ribonuclease T2 and 60 kDa heat shock protein were significantly overexpressed by 22.26- and 6 folds respectively compared to benign condition. Our results show the utility of this approach to probe differential protein expression in architecturally intact cancer tissues. In addition, we propose that ribonuclease T2 and 60 kDa heat shock protein might be developed as diagnostic biomarkers for prostate cancer in future.


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