4.8 Article

MAOA promotes prostate cancer cell perineural invasion through SEMA3C/PlexinA2/NRP1-cMET signaling

Journal

ONCOGENE
Volume 40, Issue 7, Pages 1362-1374

Publisher

SPRINGERNATURE
DOI: 10.1038/s41388-020-01615-2

Keywords

-

Funding

  1. DOD Prostate Cancer Research Program [W81XWH-15-1-0493, W81XWH-19-1-0279]
  2. NIH/NCI [R37CA233658]
  3. WSU startup fund

Ask authors/readers for more resources

Perineural invasion (PNI) is an important indicator of cancer progression and poor prognosis, especially in prostate cancer. The study revealed that MAOA plays a crucial role in promoting PNI in PC, and inhibition of MAOA can reduce PNI and potentially serve as a targeted treatment strategy for PC in the future.
Perineural invasion (PNI), a pathologic feature defined as cancer cell invasion in, around, and through nerves, is an indicator of poor prognosis and survival in prostate cancer (PC). Despite widespread recognition of the clinical significance of PNI, the molecular mechanisms are largely unknown. Here, we report that monoamine oxidase A (MAOA) is a clinically and functionally important mediator of PNI in PC. MAOA promotes PNI of PC cells in vitro and tumor innervation in an orthotopic xenograft model. Mechanistically, MAOA activates SEMA3C in a Twist1-dependent transcriptional manner, which in turn stimulates cMET to facilitate PNI via autocrine or paracrine interaction with coactivated PlexinA2 and NRP1. Furthermore, MAOA inhibitor treatment effectively reduces PNI of PC cells in vitro and tumor-infiltrating nerve fiber density along with suppressed xenograft tumor growth and progression in mice. Collectively, these findings characterize the contribution of MAOA to the pathogenesis of PNI and provide a rationale for using MAOA inhibitors as a targeted treatment for PNI in PC.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available