Drug sensitivity testing on patient-derived sarcoma cells predicts patient response to treatment and identifies c-Sarc inhibitors as active drugs for translocation sarcomas

对患者来源的肉瘤细胞进行药物敏感性测试可预测患者对治疗的反应,并确定 c-Sarc 抑制剂作为易位肉瘤的有效药物

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作者:Bertha A Brodin, Krister Wennerberg, Elisabet Lidbrink, Otte Brosjö, Swapnil Potdar, Jennifer N Wilson, Limin Ma, Lotte N Moens, Asle Hesla, Edvin Porovic, Edvin Bernhardsson, Antroula Papakonstantinou, Henrik Bauer, Panagiotis Tsagkozis, Karin von Sivers, Johan Wejde, Päivi Östling, Olli Kallioniem

Background

Heterogeneity and low incidence comprise the biggest challenge in sarcoma diagnosis and treatment. Chemotherapy, although efficient for some sarcoma subtypes, generally

Conclusions

Our results show that patient-derived sarcoma cells cultured in vitro are relevant and practical models for genotypic and phenotypic screens aiming to identify efficient drugs to treat sarcoma patients with poor treatment options.

Methods

We cultured and characterised patient-derived sarcoma cells and evaluated their sensitivity to 525 anti-cancer agents including both approved and non-approved drugs. In total, 14 sarcomas and 5 healthy mesenchymal primary cell cultures were studied. The sarcoma biopsies and derived cells were characterised by gene panel sequencing, cancer driver gene expression and by detecting specific fusion oncoproteins in situ in sarcomas with translocations.

Results

Soft tissue sarcoma cultures were established from patient biopsies with a success rate of 58%. The genomic profile and drug sensitivity testing on these samples helped to identify targeted inhibitors active on sarcomas. The cSrc inhibitor Dasatinib was identified as an active drug in sarcomas carrying chromosomal translocations. The drug sensitivity of the patient sarcoma cells ex vivo correlated with the response to the former treatment of the patient. Conclusions: Our results show that patient-derived sarcoma cells cultured in vitro are relevant and practical models for genotypic and phenotypic screens aiming to identify efficient drugs to treat sarcoma patients with poor treatment options.

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