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NANOG signaling promotes metastatic capability of immunoedited tumor cells

Overview of attention for article published in Clinical & Experimental Metastasis, April 2015
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Title
NANOG signaling promotes metastatic capability of immunoedited tumor cells
Published in
Clinical & Experimental Metastasis, April 2015
DOI 10.1007/s10585-015-9717-2
Pubmed ID
Authors

Hyo-Jung Lee, Kyung Hee Noh, Young-Ho Lee, Kwon-Ho Song, Se Jin Oh, So Youn Kim, Tae Woo Kim

Abstract

Metastatic recurrence after cancer treatments with radiation, cancer drugs, or even immunotherapeutic agents (cytokine, antibody, lymphocyte etc.) is often intractable and fatal for cancer patients. Therefore, molecular understanding of metastatic recurrence is necessary. Recently, these recurrent and metastatic tumor cells with resistance to cancer drugs have been reported to possess stem-like attributes and epithelial-mesenchymal transition (EMT) phenotype. Previously, we also found that antigen-specific cytotoxic T lymphocyte (CTL)-mediated immunotherapy conferred tumor cells with immune-resistant and stem-like phenotypes by hyper-activating NANOG/TCL1/AKT signaling axis. In this study, we report that these immunoedited cells have high metastatic capability and phenotypes. These cells exhibit enhanced migration, infiltration, and invasiveness in vitro as well as formation of metastatic lung nodules in vivo. Moreover, they display EMT-like features characterized by increased expression of BMI1 and TWIST1. Importantly, these pleiotropic phenotypes of metastasis through the expression of the EMT-associated molecules were critically dependent on the NANOG/TCL1A/AKT signaling axis, which was also conserved across multiple types of human cancer. Thus, we provide proof of the principle that inhibition of the NANOG axis is an effective strategy to control metastasis of immunoedited cancer, particularly, after CTL-based immunotherapy.

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Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 22%
Researcher 3 17%
Student > Bachelor 3 17%
Professor 2 11%
Other 1 6%
Other 1 6%
Unknown 4 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 28%
Medicine and Dentistry 3 17%
Agricultural and Biological Sciences 3 17%
Pharmacology, Toxicology and Pharmaceutical Science 1 6%
Chemistry 1 6%
Other 1 6%
Unknown 4 22%