Analysis of Osteosarcoma Cell Lines and Patient Tissue Using a 3D In Vivo Tumor Model—Possible Effects of Punicalagin

Author:

Dorn Anna Rebecca1,Neff Sara1ORCID,Hupp Sophia1,Engelhardt Melissa1,Pion Eric1,Lenze Ulrich2,Knebel Carolin2ORCID,Duprée Anna3,Schewe Simone3,Weber Markus4,Wulbrand Christian4,Hillmann Axel4,Weber Florian5ORCID,Clarke Phillip6,Kainz Philipp6ORCID,Aung Thiha17,Haerteis Silke1ORCID

Affiliation:

1. Institute for Molecular and Cellular Anatomy, University of Regensburg, 93053 Regensburg, Germany

2. Department for Orthopaedics and Sports Orthopaedics, Hospital of the Technical University of Munich, Ismaninger Straße 22, 81675 Munich, Germany

3. Department for Surgery, University Hospital of Hamburg Eppendorf, 20246 Hamburg, Germany

4. Department for Sarcoma and Musculoskeletal Tumors, Hospital Barmherzige Brüder Regensburg, 93049 Regensburg, Germany

5. Department for Pathology, University of Regensburg, 93053 Regensburg, Germany

6. KML Vision GmbH., A8020 Graz, Austria

7. Faculty of Applied Healthcare Sciences, Deggendorf Institute of Technology, 94469 Deggendorf, Germany

Abstract

Osteosarcomas are the most common primary malignant bone tumors and mostly affect children, adolescents, and young adults. Despite current treatment options such as surgery and polychemotherapy, the survival of patients with metastatic disease remains poor. In recent studies, punicalagin has reduced the cell viability, angiogenesis, and invasion in cell culture trials. The aim of this study was to examine the effects of punicalagin on osteosarcomas in a 3D in vivo tumor model. Human osteosarcoma biopsies and SaOs-2 and MG-63 cells, were grown in a 3D in vivo chorioallantoic membrane (CAM) model. After a cultivation period of up to 72 h, the tumors received daily treatment with punicalagin for 4 days. Weight measurements of the CAM tumors were performed, and laser speckle contrast imaging (LSCI) and a deep learning-based image analysis software (CAM Assay Application v.3.1.0) were used to measure angiogenesis. HE, Ki-67, and Caspase-3 staining was performed after explantation. The osteosarcoma cell lines SaOs-2 and MG-63 and osteosarcoma patient tissue displayed satisfactory growth patterns on the CAM. Treatment with punicalagin decreased tumor weight, proliferation, and tumor-induced angiogenesis, and the tumor tissue showed pro-apoptotic characteristics. These results provide a robust foundation for the implementation of further studies and show that punicalagin offers a promising supplementary treatment option for osteosarcoma patients. The 3D in vivo tumor model represents a beneficial model for the testing of anti-cancer therapies.

Publisher

MDPI AG

Reference42 articles.

1. Osteosarcoma: ESMO Clinical Recommendations for Diagnosis, Treatment and Follow-Up;Bielack;Ann. Oncol.,2008

2. Epidemiology and Risk Factors of Osteosarcoma;Sadykova;Cancer Investig.,2020

3. Osteosarcoma;Eaton;Pediatr. Blood Cancer,2021

4. Risk and Clinicopathological Features of Osteosarcoma Metastasis to the Lung: A Population-Based Study;Huang;J. Bone Oncol.,2019

5. Adler, C.-P. (2005). Knochenkrankheiten, Springer.

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