Direct Targeting of CREB1 with Imperatorin Inhibits TGFβ2‐ERK Signaling to Suppress Esophageal Cancer Metastasis

Autor: Wen Wen Xu, Zhi‐Hao Huang, Long Liao, Qi‐Hua Zhang, Jun‐Qi Li, Can‐Can Zheng, Yan He, Ting‐Ting Luo, Yang Wang, Hui‐Fang Hu, Qian Zuo, Wen‐You Chen, Qing‐Sheng Yang, Jian‐Fu Zhao, Yan‐Ru Qin, Li‐Yan Xu, En‐Min Li, Hua‐Xin Liao, Bin Li, Qing‐Yu He
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Advanced Science, Vol 7, Iss 16, Pp n/a-n/a (2020)
Druh dokumentu: article
ISSN: 2198-3844
DOI: 10.1002/advs.202000925
Popis: Abstract Metastasis accounts for 90% of cancer death worldwide, and effective therapeutic strategies are lacking. The aim of this work is to identify the key drivers in tumor metastasis and screen therapeutics for treatment of esophageal squamous cell carcinoma (ESCC). Gene Ontology analysis of The Cancer Genome Atlas (TCGA) gene expression datasets of ESCC patients with or without lympy metastasis identifies that TGFβ2 is highly enriched in the pathways essential for tumor metastasis and upregulates in the metastatic ESCC tumors. High TGFβ2 expression in ESCC correlates with metastasis and patient survival, and functionally contributes to tumor metastasis via activating extracellular signal‐regulated kinases (ERK) signaling. By screening of a library consisting of 429 bioactive compounds, imperatorin is verified as a novel TGFβ2 inhibitor, with robustly suppressive effect on tumor metastasis in multiple mice models. Mechanistically, direct binding of imperatorin and CREB1 inhibits phosphorylation, nuclear translocation of CREB1, and its interaction with TGFβ2 promoter, represses TGFβ2 expression and fibroblasts‐secreted CCL2, and then inactivates ERK signaling to block cancer invasion and abrogates the paracrine effects of fibroblasts on tumor angiogenesis and metastasis. Overall, the findings suggest the use of TGFβ2 as a diagnostic and prognostic biomarker and therapeutic target in ESCC, and supports the potential of imperatorin as a novel therapeutic strategy for cancer metastasis.
Databáze: Directory of Open Access Journals
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