journal article·2026-03-01Open access

Patient-derived osteosarcoma tumoroid model reveals functional phenotypic diversity with implications for drug responses

Sugandha Bhatia, Briony Claxton, Erik W Thompson, Martin Lowe, Michael Wagels, Wayne Nicholls, Phil Rowell, Dietmar W Hutmacher, Jacqui A McGovern

Biofabrication· Volume 18· Issue 1

Abstract

Abstract Osteosarcoma (OS) is the most common primary bone malignancy affecting children and adolescents, for which survival has not improved in more than four decades. The lack of accurate OS preclinical models hinders the understanding of tumor heterogeneity and its interaction with the surrounding extracellular matrix (ECM), limiting the discovery of predictive biomarkers and the development of effective therapies. Four 2D preclinical models from OS patients were established and characterized for their functional differences in comparison to OS cell lines for their growth, cellular phenotypic attributes, osteogenic differentiation capabilities and metabolic responses to growth factors and BMP-2. Molecular and cellular profiling revealed intra-tumoral heterogeneities that were very distinct from the endorsed OS cell lines. The OS patient-derived (PD) cells also displayed differential sensitivity to Doxorubicin and Cisplatin and resistance against Methotrexate. Subsequently, the 3D PDTs (Patient- derived tumoroids) models were developed by self-aggregating spheroids with and without Matrigel® ECM matrix. These PDTs models were screened for selective ECM and bone-specific gene markers, revealing dynamic differences between 2D and 3D models with and without ECM, with heightened dysregulation observed in 3D systems. The drug response variances observed among 2D OS cells and 3D tumoroids model within Matrigel® highlights the need for optimized platforms for in vitro personalized drug screening. Thus, our findings support the screening of preclinical PD OS models for phenotypic profiling and elucidating ECM contributions to drug responses and pathophysiology.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Cancer Cells and Metastasis · Sarcoma Diagnosis and Treatment · 3D Printing in Biomedical Research

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

References (66)

Show source-provided references
1. The strategy and clinical relevance of in vitro models of MAP resistance in osteosarcoma: a systematic review10.1038/s41388-022-02529-x ↗
2. Advancing therapy for osteosarcoma10.1038/s41571-021-00519-8 ↗
3. Osteosarcoma10.1002/pbc.28352 ↗
4. Osteosarcoma: current treatment and a collaborative pathway to success10.1200/JCO.2014.59.4895 ↗
5. Feasibility and barriers to rapid establishment of patient-derived primary osteosarcoma cell lines in clinical management10.1016/j.isci.2024.110251 ↗
6. Functional characterization of osteosarcoma cell lines provides representative models to study the human disease10.1038/labinvest.2011.72 ↗
7. Functional characterisation of osteosarcoma cell lines and identification of mRNAs and miRNAs associated with aggressive cancer phenotypes10.1038/bjc.2013.549 ↗
8. Enhanced biomimetics of three-dimensional osteosarcoma models: a scoping review10.3390/cancers16010164 ↗
9. Single-cell RNA landscape of intratumoral heterogeneity and immunosuppressive microenvironment in advanced osteosarcoma10.1038/s41467-020-20059-6 ↗
10. Extracellular matrix induces doxorubicin-resistance in human osteosarcoma cells by suppression of p53 function10.4161/cbt.6.8.4443 ↗
11. Endogenous extracellular matrix regulates the response of osteosarcoma 3D spheroids to doxorubicin10.3390/cancers15041221 ↗
12. Tumor-associated macrophages induce inflammation and drug resistance in a mechanically tunable engineered model of osteosarcoma10.1016/j.biomaterials.2023.122076 ↗
13. Bone microenvironment signals in osteosarcoma development10.1007/s00018-015-1918-y ↗
14. Managing the immune microenvironment of osteosarcoma: the outlook for osteosarcoma treatment10.1038/s41413-023-00246-z ↗
15. Comprehensive analysis of prognostic tumor microenvironment-related genes in osteosarcoma patients10.1186/s12885-020-07216-2 ↗
16. Elevated ratio of MMP2/MMP9 activity is associated with poor response to chemotherapy in osteosarcoma10.1186/s12885-016-2266-5 ↗
17. The role of extracelluar matrix in osteosarcoma progression and metastasis10.1186/s13046-020-01685-w ↗
18. Three-dimensional patient-derived in vitro sarcoma models: promising tools for improving clinical tumor management10.3389/fonc.2017.00203 ↗
19. 3D tumor-engineered model replicating the osteosarcoma stem cell niche and in vivo tumor complexity10.1021/acsami.4c02567 ↗
20. In vitro three-dimensional cell cultures for bone sarcomas10.1016/j.jbo.2021.100379 ↗
21. Transcriptomics and metabolomics reveal changes in the regulatory mechanisms of osteosarcoma under different culture methods in vitro10.1186/s12920-022-01419-1 ↗
22. Patient-specific sarcoma organoids for personalized translational research: unification of the operating room with rare cancer research and clinical implications10.1245/s10434-022-12086-y ↗
23. Current concepts in tumour-derived organoids10.1038/s41416-020-0993-5 ↗
24. The landscape of drug sensitivity and resistance in sarcoma10.1016/j.stem.2024.08.010 ↗
25. An in vitro osteosarcoma 3D microtissue model for drug development10.1016/j.jbiotec.2014.09.005 ↗
26. Multiple uses of basement membrane-like matrix (BME/Matrigel) in vitro and in vivo with cancer cells10.1002/ijc.25781 ↗
27. Spheroid culture of mesenchymal stem cells10.1155/2016/9176357 ↗
28. Mineralized human primary osteoblast matrices as a model system to analyse interactions of prostate cancer cells with the bone microenvironment10.1016/j.biomaterials.2010.06.055 ↗
29. Data-driven normalization strategies for high-throughput quantitative RT-PCR10.1186/1471-2105-10-110 ↗
30. ClustVis: a web tool for visualizing clustering of multivariate data using principal component analysis and heatmap10.1093/nar/gkv468 ↗
31. Sarcoma treatment in the era of molecular medicine10.15252/emmm.201911131 ↗
32. Osteosarcoma: cells-of-origin10.1155/2016/3631764 ↗
33. Mesenchymal stem cells in the osteosarcoma microenvironment: their biological properties, influence on tumor growth, and therapeutic implications10.1186/s13287-018-0780-x ↗
34. Decoding the impact of tumor microenvironment in osteosarcoma progression and metastasis10.3390/cancers15205108 ↗
35. Engineering novel 3D models to recreate high-grade osteosarcoma and its immune and extracellular matrix microenvironment10.1002/adhm.202200195 ↗
36. Addressing modern diagnostic pathology for patient-derived soft tissue sarcosphere models in the era of functional precision oncology10.1016/j.labinv.2022.100039 ↗
37. Signaling and transcriptional regulation in osteoblast commitment and differentiation10.2741/2296 ↗
38. CD44 expression is correlated with osteosarcoma cell progression and immune infiltration and affects the Wnt/β-catenin signaling pathway10.1016/j.jbo.2023.100487 ↗
39. CD44 in sarcomas: a comprehensive review and future perspectives10.3389/fonc.2022.909450 ↗
40. An mDia2/ROCK signaling axis regulates invasive egress from epithelial ovarian cancer spheroids10.1371/journal.pone.0090371 ↗
41. Role of the TGF-β/BMP-7/Smad pathways in renal diseases10.1042/CS20120252 ↗
42. Patient-derived osteosarcoma cells are resistant to methotrexate10.1371/journal.pone.0184891 ↗
43. Patient-derived organoids as a predictive biomarker for treatment response in cancer patients10.1038/s41698-021-00168-1 ↗
44. Patient-derived organoids can predict response to chemotherapy in metastatic colorectal cancer patients10.1126/scitranslmed.aay2574 ↗
45. Organoid profiling identifies common responders to chemotherapy in pancreatic cancer10.1158/2159-8290.CD-18-0349 ↗
46. Patient-derived cancer organoids as predictors of treatment response10.3389/fonc.2021.641980 ↗
47. Osteogenic BMPs promote tumor growth of human osteosarcomas that harbor differentiation defects10.1038/labinvest.2008.98 ↗
48. Characterization of osteosarcoma cell lines MG-63, Saos-2 and U-2 OS in comparison to human osteoblasts
49. Osteosarcoma and osteoblastic differentiation: a new perspective on oncogenesis10.1097/BLO.0b013e31802b683c ↗
50. Defective osteogenic differentiation in the development of osteosarcoma10.1155/2011/325238 ↗
51. Advances in differentiation therapy for osteosarcoma10.1016/j.drudis.2019.08.010 ↗
52. Patient-derived lung cancer organoids as in vitro cancer models for therapeutic screening10.1038/s41467-019-11867-6 ↗
53. Phenotypic profiling with a living biobank of primary rhabdomyosarcoma unravels disease heterogeneity and AKT sensitivity10.1038/s41467-020-18388-7 ↗
54. Tissue-engineered patient-derived osteosarcoma models dissecting tumour-bone interactions10.1007/s10555-024-10218-2 ↗
55. Establishment and characterization of novel patient-derived osteosarcoma xenograft and cell line10.1007/s11626-018-0274-2 ↗
56. Mechanical property of hydrogels and the presence of adipose stem cells in tumor stroma affect spheroid formation in the 3D osteosarcoma model10.1021/acsami.8b22724 ↗
57. Sarcoma spheroids and organoids—promising tools in the era of personalized medicine10.3390/ijms19020615 ↗
58. Osteopontin as a biomarker for osteosarcoma therapy and prognosis10.3892/ol.2019.9905 ↗
59. ALPL-1 is a target for chimeric antigen receptor therapy in osteosarcoma10.1038/s41467-023-39097-x ↗
60. The expression of bone morphogenetic proteins in osteosarcoma and its relevance as a prognostic parameter10.1136/jcp.55.5.381 ↗
61. Obtaining patient-derived cancer organoid cultures via fine-needle aspiration10.1016/j.xpro.2020.100220 ↗
62. Low-viscosity matrix suspension culture enables scalable analysis of patient-derived organoids and tumoroids from the large intestine10.1038/s42003-021-02607-y ↗
63. Protocol for generation of and high-throughput drug testing with patient-derived colorectal cancer organoids10.1016/j.xpro.2024.103090 ↗
64. Evaluation of the chemotherapy drug response using organotypic cultures of osteosarcoma tumours from mice models and canine patients10.3390/cancers13194890 ↗
65. Innovating cancer drug discovery with refined phenotypic screens10.1016/j.tips.2024.06.001 ↗
66. EURAMOS-1, an international randomised study for osteosarcoma: results from pre-randomisation treatment10.1093/annonc/mdu526 ↗