Open AccessPredictive value of protease‐activated receptor‐2 (PAR 2 ) in cervical cancer metastasis
Author(s) -
He Shengnan,
Xu Meiquan,
Xiong Zhen,
Hu Ye,
Huo Qin,
Lu Jingxiao,
Lin Yuntao,
Yang Lan
Publication year - 2021
Publication title -
journal of cellular and molecular medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.44
H-Index - 130
eISSN - 1582-4934
pISSN - 1582-1838
DOI - 10.1111/jcmm.16227
Subject(s) - metastasis , cervical cancer , immunohistochemistry , oncology , tissue microarray , cancer research , cancer , gene expression profiling , medicine , biology , pathology , gene expression , gene , biochemistry
Metastasis is the primary cause of an unfavourable prognosis in patients with malignant cancer. Over the last decade, the role of proteinases in the tumour microenvironment has attracted increasing attention. As a sensor of proteinases, proteinase‐activated receptor 2 (PAR 2 ) plays crucial roles in the metastatic progression of cervical cancer. In the present study, the expression of PAR 2 in multiple types of cancer was analysed by Gene Expression Profiling Interactive Analysis (GEPIA). Kaplan‐Meier plotter was used to calculate the correlation between survival and the levels of PAR 2 , Grb‐associated binding protein 2(Gab2) and miR‐125b. Immunohistochemistry (IHC) was performed to examine PAR 2 expression in a tissue microarray (TMA) of CESCs. Empower Stats was used to assess the predictive value of PAR 2 in the metastatic potential of CESC. We found that PAR 2 up‐regulation was observed in multiple types of cancer. Moreover, PAR 2 expression was positively correlated with the clinicopathologic characteristics of CESC. miR‐125b and its target Gab2, which are strongly associated with PAR 2 ‐induced cell migration, are well‐characterized as predictors of the prognostic value of CESC. Most importantly, the Cancer Genome Atlas (TCGA) data set analysis showed that the area under the curve (AUC) of the PAR 2 model was significantly greater than that of the traditional model (0.833 vs 0.790, P < .05), demonstrating the predictive value of PAR 2 in CESC metastasis. Our results suggest that PAR 2 may serve as a prognostic factor for metastasis in CESC patients.