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Sci Rep ; 12(1): 1733, 2022 02 02.
Article in English | MEDLINE | ID: mdl-35110666

ABSTRACT

It is important to determine the activation status of Rac and Cdc42 in cancer tissues for the prediction of metastasis and patient prognosis. However, it has been impossible to detect their spatial activation on formalin-fixed paraffin embedded (FFPE) surgical specimens thus far. Here, we established a novel detection technique for activated Rac/Cdc42 in human colon cancer FFPE tissues by using a p21-activated kinase (PAK)-Rac binding domain (RBD) detection probe fused with glutathione S-transferase (GST), designated GST-PAK-RBD, and novel rapid-immunohistochemistry (R-IHC) systems using noncontact alterating-current electric field mixing, although there is a technical limitation in that it may not distinguish between Rac members and Cdc42. In 50 cases of colon cancer, various activation patterns of Rac/Cdc42 were observed, which were designated plasma membrane, cytoplasm, mixed pattern, and polarized distribution. The activity was striking in the invasive fronts of tumors and significantly correlated with tumor invasion properties evaluated by TNM classification. Of note, in tissue microarray (TMA) samples, 29 of 33 cases demonstrated higher Rac1/Cdc42 activity in the tumor area than the corresponding normal mucosa. In addition, positive correlations were detected between Rac/Cdc42 activity and clinicopathological factors such as venous and lymphatic vessel invasion. These results suggest that understanding Rac and Cdc42 activations in cancer tissues would be valuable as an option for molecular therapy as personalized medicine.


Subject(s)
Biomarkers, Tumor/metabolism , Colonic Neoplasms/enzymology , Immunohistochemistry , cdc42 GTP-Binding Protein/metabolism , rac GTP-Binding Proteins/metabolism , Animals , Colonic Neoplasms/pathology , Electricity , Enzyme Activation , HCT116 Cells , HEK293 Cells , Humans , Mice, Inbred BALB C , Mice, Nude , Neoplasm Invasiveness , Neoplasm Staging , Predictive Value of Tests , Tissue Array Analysis
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