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Negative feedback regulation of AXL by miR-34a modulates apoptosis in lung cancer cells.


ABSTRACT: The AXL receptor tyrosine kinase is frequently overexpressed in cancers and is important in cancer invasion/metastasis and chemoresistance. Here, we demonstrate a regulatory feedback loop between AXL and microRNA (miRNA) at the post-transcriptional level. Both the GAS6-binding domain and the kinase domain of AXL, particularly the Y779 tyrosine phosphorylation site, are shown to be crucial for this autoregulation. To clarify the role of miRNAs in this regulation loop, approaches using bioinformatics and molecular techniques were applied, revealing that miR-34a may target the 3' UTR of AXL mRNA to inhibit AXL expression. Interestingly and importantly, AXL overexpression may induce miR-34a expression by activating the transcription factor ELK1 via the JNK signaling pathway. In addition, ectopic overexpression of ELK1 promotes apoptosis through, in part, down-regulation of AXL. Therefore, we propose that AXL is autoregulated by miR-34a in a feedback loop; this may provide a novel opportunity for developing AXL-targeted anticancer therapies.

SUBMITTER: Cho CY 

PROVIDER: S-EPMC4712679 | biostudies-literature | 2016 Feb

REPOSITORIES: biostudies-literature

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Negative feedback regulation of AXL by miR-34a modulates apoptosis in lung cancer cells.

Cho Chun-Yu CY   Huang Jhy-Shrian JS   Shiah Shine-Gwo SG   Chung Shih-Ying SY   Lay Jong-Ding JD   Yang Ya-Yu YY   Lai Gi-Ming GM   Cheng Ann-Lii AL   Chen Li-Tzong LT   Chuang Shuang-En SE  

RNA (New York, N.Y.) 20151214 2


The AXL receptor tyrosine kinase is frequently overexpressed in cancers and is important in cancer invasion/metastasis and chemoresistance. Here, we demonstrate a regulatory feedback loop between AXL and microRNA (miRNA) at the post-transcriptional level. Both the GAS6-binding domain and the kinase domain of AXL, particularly the Y779 tyrosine phosphorylation site, are shown to be crucial for this autoregulation. To clarify the role of miRNAs in this regulation loop, approaches using bioinformat  ...[more]

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