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Optical imaging predicts tumor response to anti-EGFR therapy.

机译:光学成像可预测肿瘤对抗EGFR治疗的反应。

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To evaluate cetuximab treatment in head and neck squamous cell carcinoma xenografts and cell lines, we investigated a preclinical model of head and neck squamous cell carcinoma. Head and neck squamous cell carcinoma cell lines SCC-1, FaDu, CAL27, UM-SCC-5 and UM-SCC-22A were used to generate subcutaneous flank xenografts in SCID mice. Mice were divided into control and cetuximab treatment groups, mice in the latter group received 250 mug cetuximab once weekly for four weeks. After completion of therapy, SCC-1 (p < 0.001), UM-SCC-5 (p < 0.001), UM-SCC-22A (p = 0.016) and FaDu (p = 0.007) tumors were significantly smaller than control, while CAL27 tumors were not different from controls (p = 0.90). Mice were systemically injected with 50 mug of the Cy5.5-cetuximab bioconjugate and imaged by stereomicroscopy to determine if tumor fluorescence predicted tumor response. Intact tumor fluorescence did not predict response. Tissue was harvested from untreated xenografts to evaluate ex vivo imaging. Cell lines were then evaluated in vitro for fluorescence imaging after Cy5.5-cetuximab bioconjugate labeling. The location of fluorescence observed in labeled cells was significantly different for cell lines that responded to treatment, relative to unresponsive cells. Tumors from cell lines that showed low internalized signal in vitro responded best to treatment with cetuximab. This preclinical model may aid in determining which cancer patients are best suited for cetuximab therapy.
机译:为了评估西妥昔单抗在头颈部鳞状细胞癌异种移植物和细胞系中的治疗效果,我们研究了头颈部鳞状细胞癌的临床前模型。头颈部鳞状细胞癌细胞系SCC-1,FaDu,CAL27,UM-SCC-5和UM-SCC-22A用于在SCID小鼠中生成皮下胁腹异种移植物。将小鼠分为对照组和西妥昔单抗治疗组,后一组小鼠每周一次接受250杯西妥昔单抗治疗,持续4周。完成治疗后,SCC-1(p <0.001),UM-SCC-5(p <0.001),UM-SCC-22A(p = 0.016)和FaDu(p = 0.007)肿瘤明显小于对照组,而CAL27肿瘤与对照组无差异(p = 0.90)。给小鼠全身注射50杯的Cy5.5-西妥昔单抗生物缀合物,并通过立体显微镜成像以确定肿瘤荧光是否预测了肿瘤反应。完整的肿瘤荧光不能预测反应。从未经处理的异种移植物中收获组织以评估离体成像。然后在Cy5.5-西妥昔单抗生物缀合物标记后体外评估细胞系的荧光成像。相对于无反应的细胞,在对处理有反应的细胞系中,在标记的细胞中观察到的荧光位置显着不同。在体外显示低内在化信号的细胞系肿瘤对西妥昔单抗的治疗反应最佳。该临床前模型可以帮助确定最适合西妥昔单抗治疗的癌症患者。

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