Dynamic Microenvironment Induces Phenotypic Plasticity of Esophageal Cancer Cells Under Flow.

Sci Rep

Bio-Acoustic MEMS in Medicine Laboratory, Canary Center at Stanford for Early Cancer Detection, Department of Radiology, Department of Electrical Engineering (by courtesy), Stanford School of Medicine, Palo Alto, California, 94304, USA.

Published: December 2016

AI Article Synopsis

  • The cancer microenvironment is complex and varies widely, influenced by both environmental factors and the behavior of cancer cells themselves, leading to changes like increased shear stress on cancer cells due to their rapid growth.
  • Researchers created a microfluidic cell culture system using esophageal cancer cells to study how these cells change when exposed to fluid flow, revealing that exposure leads to significant changes in cell markers related to their transition and growth potential.
  • This microfluidic system offers a promising, low-cost way to explore how fluid dynamics in the cancer environment can impact cell behavior and response to treatment, potentially aiding in the development of better cancer therapies.

Article Abstract

Cancer microenvironment is a remarkably heterogeneous composition of cellular and non-cellular components, regulated by both external and intrinsic physical and chemical stimuli. Physical alterations driven by increased proliferation of neoplastic cells and angiogenesis in the cancer microenvironment result in the exposure of the cancer cells to elevated levels of flow-based shear stress. We developed a dynamic microfluidic cell culture platform utilizing eshopagael cancer cells as model cells to investigate the phenotypic changes of cancer cells upon exposure to fluid shear stress. We report the epithelial to hybrid epithelial/mesenchymal transition as a result of decreasing E-Cadherin and increasing N-Cadherin and vimentin expressions, higher clonogenicity and ALDH positive expression of cancer cells cultured in a dynamic microfluidic chip under laminar flow compared to the static culture condition. We also sought regulation of chemotherapeutics in cancer microenvironment towards phenotypic control of cancer cells. Such in vitro microfluidic system could potentially be used to monitor how the interstitial fluid dynamics affect cancer microenvironment and plasticity on a simple, highly controllable and inexpensive bioengineered platform.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5133540PMC
http://dx.doi.org/10.1038/srep38221DOI Listing

Publication Analysis

Top Keywords

cancer cells
24
cancer microenvironment
16
cancer
10
cells
8
shear stress
8
dynamic microfluidic
8
dynamic microenvironment
4
microenvironment induces
4
induces phenotypic
4
phenotypic plasticity
4

Similar Publications

Objective: The evaluation of the efficacy of immunotherapy is of great value for the clinical treatment of bladder cancer. Graph Neural Networks (GNNs), pathway analysis and multi-omics analysis have shown great potential in the field of cancer diagnosis and treatment.

Methods: A GNNs model was constructed to predict the immunotherapy response and identify key pathways.

View Article and Find Full Text PDF

Background: Non-small cell lung cancer (NSCLC) is the predominant form of lung cancer, contributing significantly to global health and economic challenges. This study elucidated the role of RBM15 in NSCLC progression through its involvement in m6A modifications.

Methods: RBM15 levels in NSCLC tissues and cells were assessed via RT-qPCR and Western blotting.

View Article and Find Full Text PDF

Extracellular vesicles (EVs) are small membrane-bound structures that play important roles in intercellular communication and the transfer of biomolecules between cells. EVs have become a topic of interest for research in translational proteomics for disease biomarker discovery due to their ability to reflect changes in the cellular proteome, including diseases affecting the brain. Utilizing the proteome analysis of EVs to its fullest potential requires proper isolation and purity.

View Article and Find Full Text PDF

The development of phosphorylation-suppressing inhibitors targeting Signal Transducer and Activator of Transcription 3 (STAT3) represents a promising therapeutic strategy for non-small cell lung cancer (NSCLC). In this study, a generative model was developed using transfer learning and virtual screening, leveraging a comprehensive dataset of STAT3 inhibitors to explore the chemical space for novel candidates. This approach yielded a chemically diverse library of compounds, which were prioritized through molecular docking and molecular dynamics (MD) simulations.

View Article and Find Full Text PDF

Hepatitis B is a viral infection of the liver caused by the hepatitis B virus (HBV). Entecavir (ETV) is considered the primary therapeutic option for HBV treatment, primarily functioning by inhibiting HBV replication. Ubiquitin-specific peptidase 7 (USP7), a deubiquitinating enzyme, plays a crucial role in regulating DNA repair mechanisms.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!

A PHP Error was encountered

Severity: Notice

Message: fwrite(): Write of 34 bytes failed with errno=28 No space left on device

Filename: drivers/Session_files_driver.php

Line Number: 272

Backtrace:

A PHP Error was encountered

Severity: Warning

Message: session_write_close(): Failed to write session data using user defined save handler. (session.save_path: /var/lib/php/sessions)

Filename: Unknown

Line Number: 0

Backtrace: