A Functional Precision Oncology Approach to Identify Treatment Strategies for Myxofibrosarcoma Patients

Chantal Pauli, Lamberto de Boni, Jonathan E. Pauwels, Yanjiang Chen, Lara Planas-Paz, Reid Shaw, Brooke M. Emerling, Carla Grandori, Benjamin D. Hopkins, Mark A. Rubin

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


In this era of precision medicine, numerous workflows for the targeting of high-recurrent mutations in common tumor types have been developed, leaving patients with rare diseases with few options. Here, we implement a functional precision oncology approach utilizing comprehensive genomic profiling in combination with high-throughput drug screening, to identify tumor-specific drug sensitivities for patients with rare tumor types such as myxofibrosarcoma. From a patient with a high-grade myxofibrosarcoma, who was enrolled in the Englander Institute for Precision Medicine (EIPM) program, we established patient-derived 3D sarco-spheres and xenograft models for functional testing. In the absence of a large cohort of clinically similar cases, high-throughput drug screening was performed on the patient-derived cells, and compared with two other myxofibrosarcoma lines and a benign fibroblast line to functionally identify tumor-specific drug sensitivities. The addition of functional drug sensitivity testing to complement genomic profiling identified multiple therapeutic options that were further validated in patient derived xenograft models. Genomic analyses detected the frequently known codeletion of the tumor suppressors CDKN2A/B together with the methylthioadenosine phosphorylase (MTAP) and a TP53 E286fs*50 mutation. High-throughput drug screening demonstrated tumor-specific sensitivity to compounds targeting the cell cycle. Based on genomic analysis and high-throughput drug screening, we show that targeting the cell cycle in these tumors is a powerful approach.

Original languageEnglish
Pages (from-to)244-252
Number of pages9
JournalMolecular Cancer Research
Issue number2
StatePublished - Feb 2022


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