Lgr5 expression, cancer stem cells and pancreatic cancer: results from biological and computational analyses

Author:

Andrikou Kalliopi1,Santoni Matteo1,Piva Francesco2,Bittoni Alessandro1,Lanese Andrea1,Pellei Chiara1,Conti Alessandro3,Loretelli Cristian1,Mandolesi Alessandra4,Giulietti Matteo2,Scarpelli Marina4,Principato Giovanni2,Falconi Massimo5,Cascinu Stefano1

Affiliation:

1. Medical Oncology, Polytechnic University of the Marche Region, School of Medicine, United Hospitals, Via Conca 71, 60126 Ancona, Italy

2. Department of Clinical Sciences, Polytechnic University of the Marche Region, Piazza Roma 22, 60121 Ancona, Italy

3. Section of Urology, Polytechnic University of the Marche Region, School of Medicine, United Hospitals, Via Conca 71, 60126 Ancona, Italy

4. Section of Pathological Anatomy, Polytechnic University of the Marche Region, School of Medicine, United Hospitals, Via Conca 71, 60126 Ancona, Italy

5. Pancreatic Surgery Unit, Polytechnic University of the Marche Region, School of Medicine, United Hospitals, Via Conca 71, 60126 Ancona, Italy

Abstract

ABSTRACT  Aims: To determine the relationship between Lgr5 and other stemness markers and pathologic features in pancreatic ductal adenocarcinoma (PDAC) samples. Materials & methods: In 69 samples, Lgr5 was analyzed by qRT-PCR together with a panel of 29 genes. Bioinformatic analysis was carried out to identify a possible pathway regulating Lgr5 expression in PDAC. Results: Lgr5 expression was not associated with the expression of tested cancer stem cell markers. Moreover, it was not an independent predictor of survival neither at univariate analysis (p = 0.21) nor at multivariate analysis (p = 0.225). Conclusion: Based on the lack of correlation between Lgr5 and tested cancer stem cell markers, Lgr5 does not seem to be a potential stemness marker or prognostic factor in PDAC.

Publisher

Future Medicine Ltd

Subject

Cancer Research,Oncology,General Medicine

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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