Approaches to identifying drug resistance mechanisms to clinically relevant treatments in childhood rhabdomyosarcoma.

IF 4.6 Q1 ONCOLOGY 癌症耐药(英文) Pub Date : 2022-01-01 Epub Date: 2022-01-04 DOI:10.20517/cdr.2021.112
Samson Ghilu, Christopher L Morton, Angelina V Vaseva, Siyuan Zheng, Raushan T Kurmasheva, Peter J Houghton
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Abstract

Aim: Despite aggressive multiagent protocols, patients with metastatic rhabdomyosarcoma (RMS) have poor prognosis. In a recent high-risk trial (ARST0431), 25% of patients failed within the first year, while on therapy and 80% had tumor progression within 24 months. However, the mechanisms for tumor resistance are essentially unknown. Here we explore the use of preclinical models to develop resistance to complex chemotherapy regimens used in ARST0431.

Methods: A Single Mouse Testing (SMT) protocol was used to evaluate the sensitivity of 34 RMS xenograft models to one cycle of vincristine, actinomycin D, cyclophosphamide (VAC) treatment. Tumor response was determined by caliper measurement, and tumor regression and event-free survival (EFS) were used as endpoints for evaluation. Treated tumors at regrowth were transplanted into recipient mice, and the treatment was repeated until tumors progressed during the treatment period (i.e., became resistant). At transplant, tumor tissue was stored for biochemical and omics analysis.

Results: The sensitivity to VAC of 34 RMS models was determined. EFS varied from 3 weeks to > 20 weeks. Tumor models were classified as having intrinsic resistance, intermediate sensitivity, or high sensitivity to VAC therapy. Resistance to VAC was developed in multiple models after 2-5 cycles of therapy; however, there were examples where sensitivity remained unchanged after 3 cycles of treatment.

Conclusion: The SMT approach allows for in vivo assessment of drug sensitivity and development of drug resistance in a large number of RMS models. As such, it provides a platform for assessing in vivo drug resistance mechanisms at a "population" level, simulating conditions in vivo that lead to clinical resistance. These VAC-resistant models represent "high-risk" tumors that mimic a preclinical phase 2 population and will be valuable for identifying novel agents active against VAC-resistant disease.

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确定儿童横纹肌肉瘤临床相关治疗耐药机制的方法。
目的:尽管采用了积极的多药方案,但转移性横纹肌肉瘤(RMS)患者的预后很差。在最近的一项高风险试验(ARST0431)中,25%的患者在接受治疗的第一年内治疗失败,80%的患者在24个月内肿瘤进展。然而,肿瘤耐药的机制基本上是未知的。在此,我们探讨了利用临床前模型来开发对 ARST0431 中使用的复杂化疗方案的耐药性:方法:采用单鼠测试(SMT)方案评估34个RMS异种移植模型对长春新碱、放线菌素D、环磷酰胺(VAC)治疗一个周期的敏感性。肿瘤反应通过卡尺测量确定,肿瘤消退和无事件生存期(EFS)作为评估终点。经治疗的肿瘤再生后移植到受体小鼠体内,重复治疗直至肿瘤在治疗期间进展(即出现耐药性)。移植时,肿瘤组织被储存起来,用于生化和组学分析:结果:确定了 34 种 RMS 模型对 VAC 的敏感性。EFS从3周到20周不等。肿瘤模型对VAC疗法的敏感性分为内在抗性、中度敏感性和高度敏感性。多个模型在经过 2-5 个周期的治疗后对 VAC 产生了耐药性;但也有一些模型在经过 3 个周期的治疗后,其敏感性仍保持不变:结论:SMT 方法可在大量 RMS 模型中对药物敏感性和耐药性的发展进行体内评估。因此,它为在 "群体 "水平上评估体内耐药机制提供了一个平台,模拟了导致临床耐药的体内条件。这些 VAC 耐药模型代表了模拟临床前 2 期人群的 "高风险 "肿瘤,对于确定对 VAC 耐药疾病有活性的新型药物非常有价值。
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