{"title":"EGFR and Lyn inhibition augments regorafenib induced cell death in sorafenib resistant 3D tumor spheroid model","authors":"Ece Sarıyar , Ozum Karpat , Sıla Sezan , Sude Mısra Baylan , Arda Kıpçak , Kadriye Guven , Esra Erdal , Zeynep Fırtına Karagonlar","doi":"10.1016/j.cellsig.2023.110608","DOIUrl":null,"url":null,"abstract":"<div><p><span><span><span>Hepatocellular carcinoma (HCC) is the most common primary cancer of the liver and the third most lethal malignancy worldwide. Patients with unresectable HCC receive systemic therapies, traditionally sorafenib or lenvatinib as first line therapy. Despite its poor therapeutic response and high rates of resistance, in most countries, sorafenib still remains the globally used first-line treatment for advanced HCC. Thus, preclinical models demonstrating sorafenib resistance are crucial. 3D </span>tumor spheroid models are becoming extremely important as screening platforms for drug therapies. In this paper, we utilized sorafenib resistant Huh7 cell line and LX2 </span>hepatic stellate cell<span><span> line to establish a sorafenib resistant 3D tumor spheroid model which can be used to test second-line treatment options. Our analysis demonstrated that sorafenib resistant 3D tumor spheroids are also more resistant to regorafenib and exhibit diverse features compared to parental tumor spheroids. Sorafenib resistant spheroids had higher </span>CD24 and EpCAM positive </span></span>cancer stem cell populations. In addition, several oncogenic kinases are upregulated in the sorafenib resistant spheroids. Importantly, combined inhibition of EGFR and Lyn kinase in sorafenib resistant tumor spheroids are effective in inducing cell death. Our model proved to be an affordable and useful model to mimic drug resistant tumor microenvironment in HCC and provided novel insights into candidates for new combinational therapies.</p></div>","PeriodicalId":9902,"journal":{"name":"Cellular signalling","volume":"105 ","pages":"Article 110608"},"PeriodicalIF":4.4000,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cellular signalling","FirstCategoryId":"99","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0898656823000220","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CELL BIOLOGY","Score":null,"Total":0}
引用次数: 1
Abstract
Hepatocellular carcinoma (HCC) is the most common primary cancer of the liver and the third most lethal malignancy worldwide. Patients with unresectable HCC receive systemic therapies, traditionally sorafenib or lenvatinib as first line therapy. Despite its poor therapeutic response and high rates of resistance, in most countries, sorafenib still remains the globally used first-line treatment for advanced HCC. Thus, preclinical models demonstrating sorafenib resistance are crucial. 3D tumor spheroid models are becoming extremely important as screening platforms for drug therapies. In this paper, we utilized sorafenib resistant Huh7 cell line and LX2 hepatic stellate cell line to establish a sorafenib resistant 3D tumor spheroid model which can be used to test second-line treatment options. Our analysis demonstrated that sorafenib resistant 3D tumor spheroids are also more resistant to regorafenib and exhibit diverse features compared to parental tumor spheroids. Sorafenib resistant spheroids had higher CD24 and EpCAM positive cancer stem cell populations. In addition, several oncogenic kinases are upregulated in the sorafenib resistant spheroids. Importantly, combined inhibition of EGFR and Lyn kinase in sorafenib resistant tumor spheroids are effective in inducing cell death. Our model proved to be an affordable and useful model to mimic drug resistant tumor microenvironment in HCC and provided novel insights into candidates for new combinational therapies.
期刊介绍:
Cellular Signalling publishes original research describing fundamental and clinical findings on the mechanisms, actions and structural components of cellular signalling systems in vitro and in vivo.
Cellular Signalling aims at full length research papers defining signalling systems ranging from microorganisms to cells, tissues and higher organisms.