Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Urology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Eur Urol Focus. 2017 Dec;3(6):590-598. doi: 10.1016/j.euf.2016.08.005. Epub 2016 Aug 25.
Parallel development of preclinical models that recapitulate treatment response observed in patients is central to the advancement of personalized medicine.
To evaluate the use of biopsy specimens to develop patient-derived xenografts and the use of corresponding cell lines from renal cell carcinoma (RCC) tumors for the assessment of histopathology, genomics, and treatment response.
DESIGN, SETTING, AND PARTICIPANTS: A total of 74 tumor specimens from 66 patients with RCC were implanted into immunocompromised NOD-SCID IL2Rg mice. Four cell lines generated from patients' specimens with clear cell pathology were used for comparative studies.
Preclinical models were established and assessed. Engraftment rates were analyzed using chi-square testing. Analysis of variance (two-way analysis of variance) was conducted to assess tumor growth.
Overall, 33 RCC mouse xenograft models were generated with an overall engraftment rate of 45% (33 of 74). Tumor biopsies engrafted comparably with surgically resected tumors (58% vs 41%; p=0.3). Xenograft tumors and their original tumors showed high fidelity in regard to histology, mutation status, copy number change, and targeted therapy response. Engraftment rates from metastatic tumors were higher but not more significant than primary tumors (54% vs 34%; p=0.091). Our engraftment rate using metastases or biopsies was comparable with recent reports using resected primary tumors. In stark contrast to corresponding cell lines, all tested xenografts recapitulated patients' clinical response to sunitinib.
Patient-derived xenograft models can be effectively established from tumor biopsies. Preclinical xenograft models but not matched cell lines reflected clinical responses to sunitinib.
Matched patient-derived clear cell renal cell carcinoma xenografts and cell lines from responsive and refractory patients treated with sunitinib were established and evaluated for pharmacologic response to anti-vascular endothelial growth factor treatment. Both models accurately reflected the genetic characteristics of original tumors, but only xenografts recapitulated drug responses observed in patients. These models could serve as a powerful platform for precision medicine.
临床前模型的平行发展能够重现患者治疗反应,这对于推进个性化医疗至关重要。
评估使用活检标本建立患者来源的异种移植物,并使用相应的肾细胞癌 (RCC) 肿瘤细胞系评估组织病理学、基因组学和治疗反应。
设计、设置和参与者:共对 66 名 RCC 患者的 74 个肿瘤标本进行了研究,将这些标本植入免疫缺陷 NOD-SCID IL2Rg 小鼠体内。使用来自具有透明细胞病理学患者标本的 4 个细胞系进行了比较研究。
建立并评估了临床前模型。使用卡方检验分析了植入率。使用方差分析(双因素方差分析)评估了肿瘤生长情况。
总共生成了 33 个 RCC 小鼠异种移植模型,总体植入率为 45%(33/74)。肿瘤活检标本与手术切除的肿瘤具有相当的植入率(58%比 41%;p=0.3)。异种移植肿瘤与其原始肿瘤在组织学、突变状态、拷贝数变化和靶向治疗反应方面具有高度一致性。转移性肿瘤的植入率高于原发性肿瘤,但差异无统计学意义(54%比 34%;p=0.091)。与最近使用切除的原发性肿瘤的报告相比,我们使用转移灶或活检标本的植入率相当。与相应的细胞系形成鲜明对比的是,所有测试的异种移植均重现了患者对舒尼替尼的临床反应。
可以有效地从肿瘤活检标本中建立患者来源的异种移植模型。临床前异种移植模型而非匹配的细胞系反映了舒尼替尼治疗的患者对药物的反应。
建立了匹配的患者来源的透明细胞肾细胞癌异种移植和来自对舒尼替尼有反应和耐药的患者的细胞系,并对其进行了评估,以了解它们对抗血管内皮生长因子治疗的药物反应。两种模型都准确地反映了原始肿瘤的遗传特征,但只有异种移植重现了患者观察到的药物反应。这些模型可以作为精准医疗的强大平台。