Ascites-induced compression alters the peritoneal microenvironment and promotes metastatic success in ovarian cancer

Article

Abstract

The majority of women with recurrent ovarian cancer (OvCa) develop malignant ascites with volumes that can reach > 2 L. The resulting elevation in intraperitoneal pressure (IPP), from normal values of 5 mmHg to as high as 22 mmHg, causes striking changes in the loading environment in the peritoneal cavity. The effect of ascites-induced changes in IPP on OvCa progression is largely unknown. Herein we model the functional consequences of ascites-induced compression on ovarian tumor cells and components of the peritoneal microenvironment using a panel of in vitro, ex vivo and in vivo assays. Results show that OvCa cell adhesion to the peritoneum was increased under compression. Moreover, compressive loads stimulated remodeling of peritoneal mesothelial cell surface ultrastructure via induction of tunneling nanotubes (TNT). TNT-mediated interaction between peritoneal mesothelial cells and OvCa cells was enhanced under compression and was accompanied by transport of mitochondria from mesothelial cells to OvCa cells. Additionally, peritoneal collagen fibers adopted a more linear anisotropic alignment under compression, a collagen signature commonly correlated with enhanced invasion in solid tumors. Collectively, these findings elucidate a new role for ascites-induced compression in promoting metastatic OvCa progression.

Attributes

Attribute NameValues
Creator
  • Allison Young

  • Carlysa Oyama

  • Alejandro ClaureDeLaZerda

  • Yueying Liu

  • Matthew J. Ravosa

  • Vijayalaxmi Gupta

  • Andrea Jewell

  • Dineo Khabele

  • M. Sharon Stack

Journal or Work Title
  • Scientific Reports

Volume
  • 10

Issue
  • 1

First Page
  • 1-14

ISSN
  • 20452322

ISBN
  • 0123456789

Publication Date
  • 2020-04

Subject
  • Magellan SEM

Publisher
  • Nature Publishing Group UK

Date Created
  • 2021-02-25

Language
  • English

Departments and Units
Record Visibility Public
Content License
  • All rights reserved

Digital Object Identifier

doi:10.1038/s41598-020-68639-2

This DOI is the best way to cite this article.

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