Literature DB >> 27430247

SnoN suppresses TGF-β-induced epithelial-mesenchymal transition and invasion of bladder cancer in a TIF1γ-dependent manner.

Xinbao Yin1, Chuanshen Xu2, Xueping Zheng2, Huiyang Yuan1, Ming Liu1, Yue Qiu1, Jun Chen1.   

Abstract

The transcriptional regulator SnoN (also known as SKI-like proto-oncogene, SKIL), a member of the Ski family, has been reported to influence epithelial-mesenchymal transition (EMT) in response to TGF-β. In the present study, we investigated the role of SnoN in bladder cancer (BC). Differential expression of SnoN was not detected in BC tissues compared with that noted in adjacent non-cancerous tissues. SnoN was upregulated in response to TGF-β treatment, but had no effect on the TGF-β pathway, which may be explained by the low level of SnoN SUMOylation. TIF1γ, which catalyzes the SUMOylation of SnoN, was downregulated in BC tissues. Overexpression of TIF1γ restored the ability of SnoN to suppress the TGF-β pathway. Furthermore, TGF-β-induced EMT and invasion of BC cells were suppressed by TIF1γ in the presence of SnoN. Collectirely, our data suggest that SnoN suppresses TGF-β‑induced EMT and invasion of BC cells in a TIF1γ‑dependent manner and may serve as a novel therapeutic option for the treatment of BC.

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Year:  2016        PMID: 27430247     DOI: 10.3892/or.2016.4939

Source DB:  PubMed          Journal:  Oncol Rep        ISSN: 1021-335X            Impact factor:   3.906


  9 in total

1.  PIAS1 and TIF1γ collaborate to promote SnoN SUMOylation and suppression of epithelial-mesenchymal transition.

Authors:  Ayan Chanda; Yoshiho Ikeuchi; Kunal Karve; Anusi Sarkar; Amrita Singh Chandhoke; Lili Deng; Azad Bonni; Shirin Bonni
Journal:  Cell Death Differ       Date:  2020-08-07       Impact factor: 15.828

2.  FAD104, a regulator of adipogenesis, is a novel suppressor of TGF-β-mediated EMT in cervical cancer cells.

Authors:  Motoharu Goto; Shigehiro Osada; Masayoshi Imagawa; Makoto Nishizuka
Journal:  Sci Rep       Date:  2017-11-27       Impact factor: 4.379

3.  Identification of the SUMO E3 ligase PIAS1 as a potential survival biomarker in breast cancer.

Authors:  Ayan Chanda; Angela Chan; Lili Deng; Elizabeth N Kornaga; Emeka K Enwere; Donald G Morris; Shirin Bonni
Journal:  PLoS One       Date:  2017-05-11       Impact factor: 3.240

4.  Herbal compound 861 prevents hepatic fibrosis by inhibiting the TGF-β1/Smad/SnoN pathway in bile duct-ligated rats.

Authors:  Cheng Chi; Xiao-Ya Liu; Fei Hou; Xiao-Zheng Yu; Chun-Yun Li; Li-Jian Cui; Rui-Xia Liu; Cheng-Hong Yin
Journal:  BMC Complement Altern Med       Date:  2018-02-05       Impact factor: 3.659

Review 5.  The SUMO System and TGFβ Signaling Interplay in Regulation of Epithelial-Mesenchymal Transition: Implications for Cancer Progression.

Authors:  Ayan Chanda; Anusi Sarkar; Shirin Bonni
Journal:  Cancers (Basel)       Date:  2018-08-08       Impact factor: 6.639

Review 6.  The Roles of TIF1γ in Cancer.

Authors:  Chengpeng Yu; Zeyang Ding; Huifang Liang; Bixiang Zhang; Xiaoping Chen
Journal:  Front Oncol       Date:  2019-10-02       Impact factor: 6.244

7.  PIAS1 is not suitable as a urothelial carcinoma biomarker protein and pharmacological target.

Authors:  Holger Hans Hermann Erb; Marlies Ebert; Ronja Kuhn; Lukas Donix; Axel Haferkamp; Robert Ian Seed; Eva Jüngel
Journal:  PLoS One       Date:  2019-10-22       Impact factor: 3.240

8.  Knockdown of RhoE Expression Enhances TGF-β-Induced EMT (epithelial-to-mesenchymal transition) in Cervical Cancer HeLa Cells.

Authors:  Makoto Nishizuka; Rina Komada; Masayoshi Imagawa
Journal:  Int J Mol Sci       Date:  2019-09-22       Impact factor: 5.923

9.  Mapping a Circular RNA-microRNA-mRNA-Signaling Regulatory Axis That Modulates Stemness Properties of Cancer Stem Cell Populations in Colorectal Cancer Spheroid Cells.

Authors:  Vimalan Rengganaten; Chiu-Jung Huang; Ping-Hsing Tsai; Mong-Lien Wang; Yi-Ping Yang; Yuan-Tzu Lan; Wen-Liang Fang; Shelly Soo; Hooi Tin Ong; Soon Keng Cheong; Kong Bung Choo; Shih-Hwa Chiou
Journal:  Int J Mol Sci       Date:  2020-10-23       Impact factor: 5.923

  9 in total

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