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The Downregulation of eIF3a Contributes to Vemurafenib Resistance in Melanoma by Activating ERK via PPP2R1B

Authors :
Shi-Long Jiang
Zhi-Bin Wang
Tao Zhu
Ting Jiang
Jiang-Feng Fei
Chong Liu
Chao Luo
Yan Cheng
Zhao-Qian Liu
Source :
Frontiers in Pharmacology, Frontiers in Pharmacology, Vol 12 (2021)
Publication Year :
2021
Publisher :
Frontiers Media S.A., 2021.

Abstract

Background: Vemurafenib, a BRAF V600E inhibitor, provides therapeutic benefits for melanoma patients, but the frequently emergence of drug resistance remains a challenge. Understanding the mechanisms behind vemurafenib resistance may generate novel therapeutic strategy for melanoma patients. Methods: KEGG analysis for eIF3a-mediated pathway and identified the KRAS pathway was significantly enriched after silencing eIF3a. The role of eIF3a in vemurafenib chemosensitivity were investigated by CCK8, and clonogenic assay. To explore the underlying molecular mechanisms of eIF3a on regulating ERK, we performed a series of overexpression and knockdown experiments. In addition, luciferase assay and RIP assay were used to demonstrate the translation regulation between eIF3a and PPP2R1B. The association between eIF3a and PPP2R1B mRNA expression was analyzed using the TCGA datasets. Results: we demonstrated that eIF3a, a translational regulatory protein, was an important mediator involved in vemurafenib resistance. EIF3a expression was significantly lower in vemurafenib-resistant A375 melanoma cells (A375R) compared with the parental A375 cells. Overexpression of eIF3a enhanced the sensitivity of BRAF inhibitor by downregulating p-ERK expression. We further revealed that eIF3a controls ERK activity though regulating the phosphatase PPP2R1B expression via translation mechanism, thus determining the sensitivity of vemurafenib in melanoma cells. In addition, the positive relationship between eIF3a and PPP2R1B was also demonstrated in tumor samples from HPA and TCGA database. Conclusion: eIF3a is a potential prognostic predictor for vemurafenib therapy, which may provide new strategy for predicting vemurafenib responses in clinical treatment.

Details

Language :
English
ISSN :
16639812
Volume :
12
Database :
OpenAIRE
Journal :
Frontiers in Pharmacology
Accession number :
edsair.doi.dedup.....df54d58c9172c08b0e97e3a770470eb6