Noguchi Rei, Ono Takuya, Sasaki Kazuki, Masuda Mari, Kawai Akira, Yoshimatsu Yuki, Kondo Tadashi
Division of Rare Cancer Research, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-ku, Tokyo 104-0045, Japan.
Department of Oncopeptidomics, Tochigi Cancer Center, 4-9-13 Yohnan, Utsunomiya 320-0834, Japan.
Cells. 2025 Jun 11;14(12):884. doi: 10.3390/cells14120884.
Dermatofibrosarcoma protuberans (DFSP) is a rare sarcoma, characterized by a fusion. Imatinib, a multi-target tyrosine kinase inhibitor, is a standard treatment of DFSP. However, resistance emerges in 10-50% of cases. There is an urgent need for predictive biomarkers to refine the patient selection and improve therapeutic outcomes. We aimed to identify predictive biomarkers for imatinib response and explored a pharmacokinomic approach using in vitro assays with patient-derived DFSP cell lines. Four DFSP cell lines that we established were analyzed for tyrosine kinase activities on PamChip, a three-dimensional peptide array, in the presence and absence of imatinib, along with an imatinib-sensitive cell line, GIST-T1, as a positive control. Drug screening was also performed using 60 FDA-approved tyrosine kinase inhibitors, including imatinib. The kinomic profiles were compared with the kinase inhibitor screening results to identify predictive druggable targets. Drug sensitivity was associated with increased activity of PDGFRB, as indicated by the PamChip assay and Western blotting. Furthermore, imatinib sensitivity correlated with the activity of three kinases: FER, ITK, and VEGFR1, suggesting their potential as potential predictive biomarkers. Our cell-based pharmacokinomic approach using patient-derived DFSP cell lines would facilitate the identification of resistant cases to imatinib and guide alternative therapeutic strategies.
隆突性皮肤纤维肉瘤(DFSP)是一种罕见的肉瘤,其特征为一种融合。伊马替尼是一种多靶点酪氨酸激酶抑制剂,是DFSP的标准治疗药物。然而,10%-50%的病例会出现耐药。迫切需要预测性生物标志物来优化患者选择并改善治疗效果。我们旨在识别伊马替尼反应的预测性生物标志物,并使用患者来源的DFSP细胞系进行体外试验,探索一种药物激酶组学方法。我们建立的四个DFSP细胞系在有和没有伊马替尼的情况下,在三维肽阵列PamChip上分析酪氨酸激酶活性,同时将伊马替尼敏感细胞系GIST-T1作为阳性对照。还使用包括伊马替尼在内的60种FDA批准的酪氨酸激酶抑制剂进行药物筛选。将激酶组学图谱与激酶抑制剂筛选结果进行比较,以识别可预测的可药物作用靶点。PamChip分析和蛋白质印迹表明,药物敏感性与PDGFRB活性增加有关。此外,伊马替尼敏感性与三种激酶FER、ITK和VEGFR1的活性相关,表明它们有可能作为潜在的预测性生物标志物。我们使用患者来源的DFSP细胞系的基于细胞的药物激酶组学方法将有助于识别对伊马替尼耐药的病例,并指导替代治疗策略。