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Circular RNA cia-MAF drives self-renewal and metastasis of liver tumor-initiating cells via transcription factor MAFF
Zhenzhen Chen, … , Zusen Fan, Pingping Zhu
Zhenzhen Chen, … , Zusen Fan, Pingping Zhu
Published August 17, 2021
Citation Information: J Clin Invest. 2021;131(19):e148020. https://doi.org/10.1172/JCI148020.
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Research Article Cell biology Oncology

Circular RNA cia-MAF drives self-renewal and metastasis of liver tumor-initiating cells via transcription factor MAFF

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Abstract

Liver tumor-initiating cells (TICs) are involved in liver tumorigenesis, metastasis, drug resistance, and relapse, but the regulatory mechanisms of liver TICs are largely unknown. Here, we have identified a functional circular RNA, termed circRNA activating MAFF (cia-MAF), that is robustly expressed in liver cancer and liver TICs. cia-MAF–KO primary cells and cia-maf–KO liver tumors harbor decreased ratios of TICs, and display impaired liver tumorigenesis, self-renewal, and metastatic capacities. In contrast, cia-MAF overexpression drives liver TIC propagation, self-renewal, and metastasis. Mechanistically, cia-MAF binds to the MAFF promoter, recruits the TIP60 complex to the MAFF promoter, and finally promotes MAFF expression. Loss of cia-MAF function attenuates the combination between the TIP60 complex and the MAFF promoter. MAFF is highly expressed in liver tumors and liver TICs, and its antisense oligo (ASO) has therapeutic potential in treating liver cancer without MAFA/MAFG gene copy number alterations (CNAs). This study reveals an additional layer for liver TIC regulation as well as circRNA function, and provides an additional target for eliminating liver TICs, especially for liver tumors without MAFA/MAFG gene CNAs.

Authors

Zhenzhen Chen, Tiankun Lu, Lan Huang, Zhiwei Wang, Zhongyi Yan, Yubo Guan, Wenjing Hu, Zusen Fan, Pingping Zhu

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Figure 1

cia-MAF is highly expressed in liver cancer and TICs.

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cia-MAF is highly expressed in liver cancer and TICs.
(A) In situ hybrid...
(A) In situ hybridization of cia-MAF in HCC tissue microarray containing 90 peri-tumor, 58 stage 1, 29 stage 2, and 3 stage 3 tumor tissues. Typical images are in the left panels and calculated intensities are in the right panel. Scale bars: 30 μm. The details of HCC tissue microarray are listed in Supplemental Table 4. (B) Violin plot showing cia-MAF intensities in HCC samples with (+) or without (–) relapse. Individual samples, medium levels, minimum, maximum, and quarter levels are shown. (C) Kaplan–Meier survival analysis of cia-MAFhi and cia-MAFlo samples, which are grouped according to the average cia-MAF expression level. (D) Percentage distribution of CD44+ TICs in cia-MAFlo (left) and cia-MAFhi (right) samples. (E) Coexpression of cia-MAF and liver TIC marker CD44 in 90 liver cancer tissues. (F) Northern blot of cia-MAF in CD44+ TICs (C) and CD44– non-TICs (N). 18S rRNA served as a loading control. Typical images are in the left panel and signal intensities are quantified with Image J (right). (G) FISH of cia-MAF in spheres and nonspheres, which were derived from primary HCC cells. Scale bars: 20 μm. (H) FISH of cia-Maf in clone #2 and clone #6, which were derived from YFP+ mouse liver cancer cells. Scale bars: 20 μm. *P < 0.05, **P < 0.05, ***P < 0.001. Significance was determined by 1-tailed Student’s t test (A, B, and F), log-rank test (C), and χ2 test (D). For all representative images, n = 3 independent experiments performed with similar results.

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ISSN: 0021-9738 (print), 1558-8238 (online)

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