Multicellular Tumoroids for Investigating Cancer Stem-Like Cells in the Heterogeneous Tumor Microenvironment.

Q4 Biochemistry, Genetics and Molecular Biology
Kathleen M Burkhard, Geeta Mehta
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引用次数: 0

Abstract

Cancer stem-like cells (CSC) are a major contributing factor to chemoresistance, tumor recurrence, and poor survival outcomes in patients across cancer types. Signaling from non-tumor cells in the tumor microenvironment (TME) enriches for and supports CSC. This complex cell-cell signaling in the heterogeneous TME presents a challenge for patient survival; however, it also presents an opportunity to develop new targeted therapies that can inhibit survival of CSC. In this chapter, we report a multicellular tumoroid model which can be used to investigate the interactions between cancer cells and non-tumor cells in the TME to better understand the contribution of various cell types to cancer cell phenotypes, as well as the underlying mechanisms involved. The following methods allow for each cell type to be distinguished using FACS and studied individually. Gene expression can be analyzed for cancer cells, as well as the other non-tumor cells using qPCR following sorting. The response to chemotherapeutic agents and expression of stem markers can be determined for cancer cells using flow cytometry, excluding the other cell types to get an accurate view of the cancer cells. Furthermore, the viability of non-tumor cells can be analyzed as well to determine if there are cytotoxic effects of the drugs on non-tumor cells. Thus, the multicellular tumoroid model will reveal the interactions between the CSC and non-tumor cells in the heterogenous TME, resulting in discoveries in the fields of cancer biology, novel targeted therapies, and personalized drug screening for precision medicine.

用于研究异质肿瘤微环境中癌症干样细胞的多细胞肿瘤实体
癌症干样细胞(CSC)是导致各种癌症患者出现化疗耐药性、肿瘤复发和生存率低下的主要因素。肿瘤微环境(TME)中来自非肿瘤细胞的信号富集并支持癌干细胞。异质性肿瘤微环境中这种复杂的细胞-细胞信号传导对患者的生存提出了挑战;然而,它也为开发可抑制 CSC 生存的新型靶向疗法提供了机会。在本章中,我们将报告一种多细胞类肿瘤模型,该模型可用于研究TME中癌细胞与非肿瘤细胞之间的相互作用,从而更好地了解各种细胞类型对癌细胞表型的贡献以及相关的潜在机制。以下方法可使用 FACS 对每种细胞类型进行区分和单独研究。分选后可使用 qPCR 分析癌细胞和其他非肿瘤细胞的基因表达。使用流式细胞术可确定癌细胞对化疗药物的反应和干标志物的表达,同时排除其他细胞类型,以准确了解癌细胞的情况。此外,还可以分析非肿瘤细胞的存活率,以确定药物是否对非肿瘤细胞产生细胞毒性作用。因此,多细胞类肿瘤模型将揭示异质肿瘤组织间质干细胞和非肿瘤细胞之间的相互作用,从而在癌症生物学、新型靶向疗法和用于精准医疗的个性化药物筛选等领域有所发现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Methods in molecular biology
Methods in molecular biology Biochemistry, Genetics and Molecular Biology-Genetics
CiteScore
2.00
自引率
0.00%
发文量
3536
期刊介绍: For over 20 years, biological scientists have come to rely on the research protocols and methodologies in the critically acclaimed Methods in Molecular Biology series. The series was the first to introduce the step-by-step protocols approach that has become the standard in all biomedical protocol publishing. Each protocol is provided in readily-reproducible step-by-step fashion, opening with an introductory overview, a list of the materials and reagents needed to complete the experiment, and followed by a detailed procedure that is supported with a helpful notes section offering tips and tricks of the trade as well as troubleshooting advice.
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