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The Prognostic Significance of Anisomycin-Activated Phospho-c-Jun NH2-Terminal Kinase (p-JNK) in Predicting Breast Cancer Patients’ Survival Time

Li Chen, Xuantong Zhou, Xiangyi Kong, Zhaohui Su, Xiangyu Wang, Sen Li, Aiping Luo, Zhihua Liu, Yi Fang, Jing Wang

2021Frontiers in Cell and Developmental Biology16 citationsDOIOpen Access PDF

Abstract

This study aims to investigate the prognostic significance of p-JNK in breast cancer patients receiving neoadjuvant chemotherapy (NACT) and analyze the relationship between anisomycin, p-JNK. A total of 104 breast cancer patients had NACT were enrolled in this study. The western blot and immunohistochemistry assays were used to determine the protein expressions of p-JNK in human breast cancer cell lines and patients’ cancer tissues. The chi-square test and Fisher’s exact test were adopted to gauge the associations between breast cancer and clinicopathological variables by p-JNK expression, whereas the univariate and multivariate Cox proportional hazards regression models were used to analyze the prognostic value of p-JNK expression. The Kaplan-Meier plots and the log-rank test were adopted to determine patients’ disease-free survival (DFS) and overall survival (OS). Findings indicated that the p-JNK expression had prognostic significance in univariate and multivariate Cox regression survival analyses. Results of log-rank methods showed that: (1) the mean DFS and OS times in patients with high p-JNK expression were significantly longer than those in patients with low p-JNK expression (χ 2 = 5.908, P = 0.015 and χ 2 = 6.593, P = 0.010, respectively). p-JNK expression is a significant prognostic factor that can effectively predict the survival in breast cancer patients receiving NACT. Treatment with the JNK agonist anisomycin can induce apoptosis, lead to increased p-JNK expression and decreased p-STAT3 expression. Moreover, the p-JNK expression was inversely correlated with p-STAT3 expression.

Topics & Concepts

AnisomycinBreast cancerProportional hazards modelOncologyMedicineInternal medicineSurvival analysisMetastatic breast cancerDocetaxelCancerLog-rank testUnivariate analysisChemotherapyKinaseCancer researchMultivariate analysisBiologyCell biologyCancer Mechanisms and TherapyCytokine Signaling Pathways and InteractionsCancer-related Molecular Pathways