Repression of p63 and induction of EMT by mutant RAS in mammary epithelial cells

Kathryn E. Yoh, Kausik Regunath, Asja Guzman, Seung Min Lee, Neil T. Pfister, Olutosin Akanni, Laura J. Kaufman, Carol Prives, Ron Prywes

Research output: Contribution to journalArticlepeer-review

26 Citations (Scopus)

Abstract

The p53-related transcription factor p63 is required for maintenance of epithelial cell differentiation. We found that activated forms of the Harvey Rat Sarcoma Virus GTPase (H-RAS) and phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit alpha (PIK3CA) oncogenes strongly repress expression of ΔNp63α, the predominant p63 isoform in basal mammary epithelial cells. This regulation occurs at the transcriptional level, and a short region of the ΔNp63 promoter is sufficient for repression induced by H-RasV12. The suppression of ΔNp63α expression by these oncogenes concomitantly leads to an epithelial-tomesenchymal transition (EMT). In addition, the depletion of ΔNp63α alone is sufficient to induce EMT. Both H-RasV12 expression and ΔNp63α depletion induce individual cell invasion in a 3D collagen gel in vitro system, thereby demonstrating how Ras can drive the mammary epithelial cell state toward greater invasive ability. Together, these results suggest a pathway by which RAS and PIK3CA oncogenes induce EMT through regulation of ΔNp63α.

Original languageEnglish
Pages (from-to)E6107-E6116
JournalProceedings of the National Academy of Sciences of the United States of America
Volume113
Issue number41
DOIs
Publication statusPublished - 2016 Oct 11

Bibliographical note

Funding Information:
We thank Drs. Ella Freulich, Yan Zhu, Wen Zhou, and members of the C.P. and R.P. laboratories for assistance and advice. We thank Dr. Scott Lowe for the pBabepuro, pBabepuro-H-RasV12, and LMP vectors and Phoenix-Ampho cells. We thank Dr. Rosalie Sears for the MCF10A-TR cells and Dr. Kumiko Ui-Tei for the E-cadherin minimal reporter. We thank Dr. Antonio Costanzo for the gift of the -3,000 ?Np63 promoter construct. We acknowledge the Texas Advanced Computing Center at The University of Texas at Austin for providing access to the high-performance computing system Stampede and the Pittsburgh Supercomputing Center for the Blacklight system. This work was supported by NIH Grant P01 CA87497. This work used the Extreme Science and Engineering Discovery Environment (XSEDE), which is supported by National Science Foundation Grant ACI-1053575. The XSEDE computational grant (to C.P. and K.R.) helped support data analysis carried out on the Stampede and Blacklight supercomputers.

All Science Journal Classification (ASJC) codes

  • General

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