Article Text

Download PDFPDF
A simple human co-culture model of lymphatic invasion
  1. Kalnisha Naidoo1,2
  1. 1Guy's and St Thomas’ NHS Foundation Trust, London, UK
  2. 2The Institute of Cancer Research, London, UK
  1. Correspondence to Dr Kalnisha Naidoo, The Institute of Cancer Research, 237 Fulham Road, London SW3 6JB, UK; nish.naidoo{at}icr.ac.uk

Abstract

True lymphovascular invasion in most carcinomas adversely affects survival, but in vitro human models of lymphatic invasion are lacking. Herein is discussed one such model in which certain mechanistic aspects of lymphatic dissemination can be investigated easily in any laboratory. S100P expression is known to be significantly upregulated in the lymph node metastases of human pancreatic adenocarcinoma. Thus, an S100P overexpressing cell line (S5L) and a vector control (V3L) pancreatic cancer cell lines were used to develop a co-culture model with human dermal lymphatic endothelial cells. Adhesion, the effect of cancer cells on lymphatic permeability and trans-lymphatic endothelial migration could be reproducibly quantified in this model and parametric statistical analysis confirmed significant differences between the two cancer cell lines in these functional assays. This proof-of-principle study demonstrates that this simple model can be used to assess lymphatic invasion in a human cancer context in real-time in vitro.

  • METASTASIS
  • MOLECULAR PATHOLOGY
  • CANCER RESEARCH
  • METHODOLOGY
  • TUMOUR BIOLOGY

Statistics from Altmetric.com

Request Permissions

If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.

Footnotes

  • Handling editor Runjan Chetty

  • Funding This work was performed at BCI during the author's PhD, which was funded by Barts and the London Charity.

  • Competing interests None declared.

  • Provenance and peer review Not commissioned; externally peer reviewed.

  • Data sharing statement This work formed part of the author's PhD (ratified in 2012), which is now accessible online in the Queen Mary University of London’s library.