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Full-Text Articles in Medicine and Health Sciences
The Hippo/Yap Pathway Interacts With Egfr Signaling And Hpv Oncoproteins To Regulate Cervical Cancer Progression., Chunbo He, Dagan Mao, Guohua Hua, Xiangmin Lv, Xingcheng Chen, Peter C. Angeletti, Jixin Dong, Steven W. Remmenga, Kerry J. Rodabaugh, Jin Zhou, Paul F. Lambert, Peixin Yang, John S. Davis, Cheng Wang
The Hippo/Yap Pathway Interacts With Egfr Signaling And Hpv Oncoproteins To Regulate Cervical Cancer Progression., Chunbo He, Dagan Mao, Guohua Hua, Xiangmin Lv, Xingcheng Chen, Peter C. Angeletti, Jixin Dong, Steven W. Remmenga, Kerry J. Rodabaugh, Jin Zhou, Paul F. Lambert, Peixin Yang, John S. Davis, Cheng Wang
Journal Articles: Obstetrics & Gynecology
The Hippo signaling pathway controls organ size and tumorigenesis through a kinase cascade that inactivates Yes-associated protein (YAP). Here, we show that YAP plays a central role in controlling the progression of cervical cancer. Our results suggest that YAP expression is associated with a poor prognosis for cervical cancer. TGF-α and amphiregulin (AREG), via EGFR, inhibit the Hippo signaling pathway and activate YAP to induce cervical cancer cell proliferation and migration. Activated YAP allows for up-regulation of TGF-α, AREG, and EGFR, forming a positive signaling loop to drive cervical cancer cell proliferation. HPV E6 protein, a major etiological molecule of …
Confident Difference Criterion: A New Bayesian Differentially Expressed Gene Selection Algorithm With Applications., Fang Yu, Ming-Hui Chen, Lynn Kuo, Heather Talbott, John S. Davis
Confident Difference Criterion: A New Bayesian Differentially Expressed Gene Selection Algorithm With Applications., Fang Yu, Ming-Hui Chen, Lynn Kuo, Heather Talbott, John S. Davis
Journal Articles: Obstetrics & Gynecology
BACKGROUND: Recently, the Bayesian method becomes more popular for analyzing high dimensional gene expression data as it allows us to borrow information across different genes and provides powerful estimators for evaluating gene expression levels. It is crucial to develop a simple but efficient gene selection algorithm for detecting differentially expressed (DE) genes based on the Bayesian estimators.
RESULTS: In this paper, by extending the two-criterion idea of Chen et al. (Chen M-H, Ibrahim JG, Chi Y-Y. A new class of mixture models for differential gene expression in DNA microarray data. J Stat Plan Inference. 2008;138:387-404), we propose two new gene …