Journal article
Mahmoud Ahmed, Trang Huyen Lai, Sahib Zada, Jin Seok Hwang, Trang Minh Pham, Miyong Yun, Deok Ryong Kim
Cancers, vol. 10(8), 2018 Jul 16
Cancers, vol. 10(8), 2018 Jul 16
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APA
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Ahmed, M., Lai, T. H., Zada, S., Hwang, J. S., Pham, T. M., Yun, M., & Kim, D. R. (2018). Functional Linkage of RKIP to the Epithelial to Mesenchymal Transition and Autophagy during the Development of Prostate Cancer. Cancers, 10(8).
Chicago/Turabian
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Ahmed, Mahmoud, Trang Huyen Lai, Sahib Zada, Jin Seok Hwang, Trang Minh Pham, Miyong Yun, and Deok Ryong Kim. “Functional Linkage of RKIP to the Epithelial to Mesenchymal Transition and Autophagy during the Development of Prostate Cancer.” Cancers 10, no. 8 (July 16, 2018).
MLA
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Ahmed, Mahmoud, et al. “Functional Linkage of RKIP to the Epithelial to Mesenchymal Transition and Autophagy during the Development of Prostate Cancer.” Cancers, vol. 10, no. 8, July 2018.
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@article{mahmoud2018a,
title = {Functional Linkage of RKIP to the Epithelial to Mesenchymal Transition and Autophagy during the Development of Prostate Cancer.},
year = {2018},
month = jul,
day = {16},
issue = {8},
journal = {Cancers},
volume = {10},
author = {Ahmed, Mahmoud and Lai, Trang Huyen and Zada, Sahib and Hwang, Jin Seok and Pham, Trang Minh and Yun, Miyong and Kim, Deok Ryong},
month_numeric = {7}
}
Abstract
Raf kinase inhibitor protein (RKIP) plays a critical role in many signaling pathways as a multi-functional adapter protein. In particular, the loss of RKIP’s function in certain types of cancer cells results in epithelial to mesenchymal transition (EMT) and the promotion of cancer metastasis. In addition, RKIP inhibits autophagy by modulating LC3-lipidation and mTORC1. How the RKIP-dependent inhibition of autophagy is linked to EMT and cancer progression is still under investigation. In this study, we investigated the ways by which RKIP interacts with key gene products in EMT and autophagy during the progression of prostate cancer. We first identified the gene products of interest using the corresponding gene ontology terms. The weighted-gene co-expression network analysis (WGCNA) was applied on a gene expression dataset from three groups of prostate tissues; benign prostate hyperplasia, primary and metastatic cancer. We found two modules of highly co-expressed genes, which were preserved in other independent datasets of prostate cancer tissues. RKIP showed potentially novel interactions with one EMT and seven autophagy gene products (TGFBR1; PIK3C3, PIK3CB, TBC1D25, TBC1D5, TOLLIP, WDR45 and WIPI1). In addition, we identified several upstream transcription modulators that could regulate the expression of these gene products. Finally, we verified some RKIP novel interactions by co-localization using the confocal microscopy analysis in a prostate cancer cell line. To summarize, RKIP interacts with EMT and autophagy as part of the same functional unit in developing prostate cancer.
