Cited by 39Sarcoma Diagnosis and TreatmentBone Tumor Diagnosis and TreatmentsCancer Genomics and Diagnostics

Patient Derived Xenografts for Genome-Driven Therapy of Osteosarcoma

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Landuzzi, Lorena, Manara, Maria Cristina, Lollini, Pier-Luigi, Scotlandi, Katia·2021·Cells

Abstract

Osteosarcoma (OS) is a rare malignant primary tumor of mesenchymal origin affecting bone. It is characterized by a complex genotype, mainly due to the high frequency of chromothripsis, which leads to multiple somatic copy number alterations and structural rearrangements. Any effort to design genome-driven therapies must therefore consider such high inter- and intra-tumor heterogeneity. Therefore, many laboratories and international networks are developing and sharing OS patient-derived xenografts (OS PDX) to broaden the availability of models that reproduce OS complex clinical heterogeneity. OS PDXs, and new cell lines derived from PDXs, faithfully preserve tumor heterogeneity, genetic, and epigenetic features and are thus valuable tools for predicting drug responses. Here, we review recent achievements concerning OS PDXs, summarizing the methods used to obtain ectopic and orthotopic xenografts and to fully characterize these models. The availability of OS PDXs across the many international PDX platforms and their possible use in PDX clinical trials are also described. We recommend the coupling of next-generation sequencing (NGS) data analysis with functional studies in OS PDXs, as well as the setup of OS PDX clinical trials and co-clinical trials, to enhance the predictive power of experimental evidence and to accelerate the clinical translation of effective genome-guided therapies for this aggressive disease.

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  • Large libraries of PDX models of osteosarcoma have been developed.

    “To assist this approach, large libraries of PDX models of osteosarcoma have been developed 181,182 .”

    From Osteosarcoma (2022) · cites this paper as [181]

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References 107 · Cited by 39

Authors
Landuzzi, L., Manara, M. C., Lollini, P.-L., & Scotlandi, K.
Affiliations
  • Istituto Ortopedico Rizzoli (IT)
  • University of Bologna (IT)
Corresponding author
  • Landuzzi, Lorena
  • Scotlandi, Katia
Venue
Cells
Publisher
MDPI AG
Published
2021-02-17
Volume
10
Issue
2
Pages
416
ISSN
2073-4409 (ISSN-L)
OpenAlex
W3130675324
Cited by
39
References
107
Citations by year
2026: 4 · 2025: 6 · 2024: 7 · 2023: 5 · 2022: 14 · 2021: 3
FWCI
1.17
Type
journal article
Language
en
Open access
Locations
  • Cells (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna) (submittedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
Ministero della Salute (RF-2016-02361373)
Topics
  • Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Sarcoma Diagnosis and Treatment
  • Health Sciences › Medicine › Rheumatology › Bone Tumor Diagnosis and Treatments
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer Genomics and Diagnostics
Keywords
osteosarcoma, patient-derived xenografts, chromothripsis, tumor heterogeneity, copy number alterations, structural rearrangement, orthotopic xenograft, drug response prediction, co-clinical trials, next-generation sequencing, cell lines
MeSH terms
Animals, Humans, Osteosarcoma, Transplantation, Heterologous, Gene Expression Regulation, Neoplastic, Gene Expression Profiling, Xenograft Model Antitumor Assays, Heterografts

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