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© 2017, Ku et al. This work is licensed under the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/3.0/ ) (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

The transcription factor TCF7L1 is an embryonic stem cell signature gene that is upregulated in multiple aggressive cancer types, but its role in skin tumorigenesis has not yet been defined. Here we document TCF7L1 upregulation in skin squamous cell carcinoma (SCC) and demonstrate that TCF7L1 overexpression increases tumor incidence, tumor multiplicity, and malignant progression in the chemically induced mouse model of skin SCC. Additionally, we show that downregulation of TCF7L1 and its paralogue TCF7L2 reduces tumor growth in a xenograft model of human skin SCC. Using separation-of-function mutants, we show that TCF7L1 promotes tumor growth, enhances cell migration, and overrides oncogenic RAS-induced senescence independently of its interaction with β-catenin. Through transcriptome profiling and combined gain- and loss-of-function studies, we identified LCN2 as a major downstream effector of TCF7L1 that drives tumor growth. Our findings establish a tumor-promoting role for TCF7L1 in skin and elucidate the mechanisms underlying its tumorigenic capacity.

DOI: http://dx.doi.org/10.7554/eLife.23242.001

Details

Title
TCF7L1 promotes skin tumorigenesis independently of β-catenin through induction of LCN2
Author
Ku, Amy T; Shaver, Timothy M; Rao, Ajay S; Howard, Jeffrey M; Rodriguez, Christine N; Miao Qi; Garcia, Gloria; Le Diep; Yang, Diane; Borowiak Malgorzata; Cohen, Daniel N; Chitsazzadeh Vida; Diwan, Abdul H; Tsai, Kenneth Y; Nguyen, Hoang
University/institution
U.S. National Institutes of Health/National Library of Medicine
Publication year
2017
Publication date
2017
Publisher
eLife Sciences Publications Ltd.
e-ISSN
2050084X
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
1964687212
Copyright
© 2017, Ku et al. This work is licensed under the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/3.0/ ) (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.