Àá½Ã¸¸ ±â´Ù·Á ÁÖ¼¼¿ä. ·ÎµùÁßÀÔ´Ï´Ù.
KMID : 0893420210220030025
Journal of Veterinary Science
2021 Volume.22 No. 3 p.25 ~ p.25
3D-culture models as drug-testing platforms in canine lymphoma and their cross talk with lymph node-derived stromal cells
An Ju-Hyun

Song Woo-Jin
Li Qiang
Bhang Dong-Ha
Youn Hwa-Young
Abstract
Background: Malignant lymphoma is the most common hematopoietic malignancy in dogs, and relapse is frequently seen despite aggressive initial treatment. In order for the treatment of these recurrent lymphomas in dogs to be effective, it is important to choose a personalized and sensitive anticancer agent. To provide a reliable tool for drug development and for personalized cancer therapy, it is critical to maintain key characteristics of the original tumor.

Objectives: In this study, we established a model of hybrid tumor/stromal spheroids and investigated the association between canine lymphoma cell line (GL-1) and canine lymph node (LN)-derived stromal cells (SCs).

Methods: A hybrid spheroid model consisting of GL-1 cells and LN-derived SC was created using ultra low attachment plate. The relationship between SCs and tumor cells (TCs) was investigated using a coculture system.

Results: TCs cocultured with SCs were found to have significantly upregulated multidrug resistance genes, such as P-qp, MRP1, and BCRP, compared with TC monocultures. Additionally, it was revealed that coculture with SCs reduced doxorubicin-induced apoptosis and G2/M cell cycle arrest of GL-1 cells.

Conclusions: SCs upregulated multidrug resistance genes in TCs and influenced apoptosis and the cell cycle of TCs in the presence of anticancer drugs. This study revealed that understanding the interaction between the tumor microenvironment and TCs is essential in designing experimental approaches to personalized medicine and to predict the effect of drugs.
KEYWORD
Canine lymphoma, lymph node-derived stromal cell, drug resistance, personalized cancer therapy, tumor microenvironment
FullTexts / Linksout information
  
Listed journal information
SCI(E) MEDLINE ÇмúÁøÈïÀç´Ü(KCI) KoreaMed