Identification of cancer stem cells derived from U118MG and the involvement of LncRNA-DC and STAT3 in promoting their malignant transformation

Author:

Liu Qingxi123,Lv Lihui24,Leung Terry3,Li Hui2,Xiao Hairong3,Lu Wange1,Ma Wenjian24

Affiliation:

1. State Key Laboratory of Medicinal Chemical Biology and College of Life Sciences , Nankai University , Tianjin , China

2. College of Biotechnology , Tianjin University of Science and Technology , Tianjin , China

3. IncoCell Tianjin Ltd , Tianjin , China

4. Qilu Institute of Technology , Jinan , China

Abstract

Abstract Objectives Cancer stem cells (CSCs) are a subpopulation of cancer cells that share similarities with somatic stem cells. CSCs are believed to play a key role in carcinogenesis, metastasis, cancer relapse, and drug resistance. Despite their significant impacts, the specific biological markers for the identification of CSCs and their differentiation/transformation mechanisms have not yet been fully characterized. Methods Utilizing stem cell markers, the ability to differentiate in multiple directions, and resistance to radiotherapy and chemotherapy, CSCs were identified. To assess the variations in gene expression, gene alterations, protein expression, and cell proliferation between CSCs and U118MG glioma cells, second generation sequencing, Real-Time PCR, Western Blotting, and CCK-8 were employed. Results In this study, we identified a subset of CSCs in human U118MG glioma cells that expressed the stem cell biomarkers CD133+, OCT4+, and CD44+. These cells exhibited stem cell-like characteristics such as multilineage differentiation and resistance to chemical and radiation stresses. Notably, they can form neurons with electrical signals and sodium currents. Further study also revealed that the malignant growth of this CSC subset was controlled by long noncoding RNA (Lnc-DC) through the STAT3 pathway. Conclusions As a potential therapeutic approach, inhibiting Lnc-DC may be beneficial in hindering carcinogenesis and drug resistance, as it selectively targets the growth of CSCs.

Publisher

Walter de Gruyter GmbH

Subject

Oncology

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3