# Genomic profiling of a collection of patient-derived xenografts and cell lines identified ixabepilone as an active drug against chemo-resistant osteosarcoma

**Authors:** Maria Cristina Manara, Francesca Bruzzese, Laura Formentini, Lorena Landuzzi, Laura Pazzaglia, Maria Antonella Laginestra, Marianna Carrabotta, Maria Serena Roca, Federica Iannelli, Laura Grumetti, Laura Addi, Alessandro Parra, Camilla Cristalli, Michela Pasello, Alberto Bavelloni, Francesca Carreras, Francesca Ruzzi, Giuseppe Bianchi, Marco Gambarotti, Alberto Righi, Alfredo Budillon, Pier-Luigi Lollini, Katia Scotlandi

PMC · DOI: 10.1186/s13046-025-03440-5 · Journal of Experimental & Clinical Cancer Research : CR · 2025-07-08

## TL;DR

Researchers found that ixabepilone is effective against chemo-resistant osteosarcoma using patient-derived models.

## Contribution

The study introduces new patient-derived models for osteosarcoma and identifies ixabepilone as a potential treatment for resistant tumors.

## Key findings

- Patient-derived xenografts and cell lines reflect osteosarcoma heterogeneity and genetic alterations.
- Ixabepilone was identified as a drug that induces tumor regression in chemoresistant osteosarcoma models.
- Genomic profiling revealed common oncogene amplifications and tumor suppressor deletions in osteosarcoma.

## Abstract

Osteosarcoma (OS) shows a multitude of genetic and chromosomal abnormalities together with large biological heterogeneity. These features limited the identification of novel drugs to treat patients with metastases and/or chemo-resistant tumors. The purpose of this study was to create additional resources for drug screening by generating patient-derived xenograft (PDXs) and PDX-derived cell lines that reflect the spectrum of OS heterogeneity.

PDXs were derived from OS collected at diagnosis, surgical resections, or metastases. PDX-derived cell lines were also established. Targeted DNA sequencing and digital PCR were applied to identify major genetic alterations. High-throughput drug screening by using a library of 2880-FDA approved compounds and conventional MTT assays were performed to identify the most effective drugs against in vitro and in vivo growth of chemo-resistant OS.

Targeted DNA sequencing demonstrated alterations in the most commonly amplified oncogenes, such as MYC, CCNE1, DDR2, CDK4, MDM2, and AURKA. Recurrent deletions and SNVs were found in TP53, CDKN2A, RB1, PTEN, and VHL. Copy number variant (CNV) alterations in PDXs, PDX-derived cell lines and xenografts developed from cell lines (CDX) correlated very well with those observed in the matched original human tumors. Drug screenings identified and repurposed five compounds with efficacy against chemoresistant OS. In this context, we prioritized ixabepilone as a drug capable of inducing tumor regression in mice.

We enriched the scientific community with additional, molecularly characterized OS models to be used for testing novel therapies and supported the inclusion of ixabepilone into treatment plans for chemoresistant OS.

The online version contains supplementary material available at 10.1186/s13046-025-03440-5.

## Linked entities

- **Genes:** MYC (MYC proto-oncogene, bHLH transcription factor) [NCBI Gene 4609], CCNE1 (cyclin E1) [NCBI Gene 898], DDR2 (discoidin domain receptor tyrosine kinase 2) [NCBI Gene 4921], CDK4 (cyclin dependent kinase 4) [NCBI Gene 1019], MDM2 (MDM2 proto-oncogene) [NCBI Gene 4193], AURKA (aurora kinase A) [NCBI Gene 6790], TP53 (tumor protein p53) [NCBI Gene 7157], CDKN2A (cyclin dependent kinase inhibitor 2A) [NCBI Gene 1029], RB1 (RB transcriptional corepressor 1) [NCBI Gene 5925], PTEN (phosphatase and tensin homolog) [NCBI Gene 5728], VHL (von Hippel-Lindau tumor suppressor) [NCBI Gene 7428]
- **Chemicals:** ixabepilone (PubChem CID 6445540)
- **Diseases:** osteosarcoma (MONDO:0002623)

## Full-text entities

- **Diseases:** osteosarcoma (MESH:D012516)
- **Chemicals:** ixabepilone (MESH:C430592)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC12235892/full.md

## Figures

5 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12235892/full.md

## References

3 references — full list in the complete paper: https://tomesphere.com/paper/PMC12235892/full.md

---
Source: https://tomesphere.com/paper/PMC12235892