Song Gina, Darr David B, Santos Charlene M, Ross Mark, Valdivia Alain, Jordan Jamie L, Midkiff Bentley R, Cohen Stephanie, Nikolaishvili-Feinberg Nana, Miller C Ryan, Tarrant Teresa K, Rogers Arlin B, Dudley Andrew C, Perou Charles M, Zamboni William C
Division of Pharmacotherapy and Experimental Therapeutics, Eshelman School of Pharmacy, University of North Carolina (UNC) at Chapel Hill, Chapel Hill, North Carolina.
Lineberger Comprehensive Cancer Center, UNC at Chapel Hill, Chapel Hill, North Carolina.
Clin Cancer Res. 2014 Dec 1;20(23):6083-95. doi: 10.1158/1078-0432.CCR-14-0493. Epub 2014 Sep 17.
PURPOSE: Tumor cells are surrounded by a complex microenvironment. The purpose of our study was to evaluate the role of heterogeneity of the tumor microenvironment in the variability of nanoparticle (NP) delivery and efficacy. EXPERIMENTAL DESIGNS: C3(1)-T-Antigen genetically engineered mouse model (C3-TAg) and T11/TP53(Null) orthotopic syngeneic murine transplant model (T11) representing human breast tumor subtypes basal-like and claudin-low, respectively, were evaluated. For the pharmacokinetic studies, non-liposomal doxorubicin (NL-doxo) or polyethylene glycol tagged (PEGylated) liposomal doxorubicin (PLD) was administered at 6 mg/kg i.v. x1. Area under the concentration versus time curve (AUC) of doxorubicin was calculated. Macrophages, collagen, and the amount of vasculature were assessed by IHC. Chemokines and cytokines were measured by multiplex immunochemistry. NL-doxo or PLD was administered at 6 mg/kg i.v. weekly x6 in efficacy studies. Analyses of intermediary tumor response and overall survival were performed. RESULTS: Plasma AUC of NL-doxo and PLD encapsulated and released doxorubicin was similar between two models. However, tumor sum total AUC of PLD was 2-fold greater in C3-TAg compared with T11 (P < 0.05). T11 tumors showed significantly higher expression of CC chemokine ligand (CCL) 2 and VEGF-a, greater vascular quantity, and decreased expression of VEGF-c compared with C3-TAg (P < 0.05). PLD was more efficacious compared with NL-doxo in both models. CONCLUSION: The tumor microenvironment and/or tumor cell features of breast cancer affected NP tumor delivery and efficacy, but not the small-molecule drug. Our findings reveal the role of the tumor microenvironment in variability of NP delivery and therapeutic outcomes.
目的:肿瘤细胞被复杂的微环境所包围。我们研究的目的是评估肿瘤微环境的异质性在纳米颗粒(NP)递送及疗效变异性中的作用。 实验设计:评估了分别代表人类基底样和claudin低表达乳腺癌亚型的C3(1)-T抗原基因工程小鼠模型(C3-TAg)和T11/TP53(Null)原位同基因小鼠移植模型(T11)。对于药代动力学研究,以6 mg/kg静脉注射非脂质体阿霉素(NL-阿霉素)或聚乙二醇化脂质体阿霉素(PLD)一次。计算阿霉素的浓度-时间曲线下面积(AUC)。通过免疫组化评估巨噬细胞、胶原蛋白和脉管系统的数量。通过多重免疫化学测量趋化因子和细胞因子。在疗效研究中,以6 mg/kg静脉注射NL-阿霉素或PLD,每周一次,共6次。进行了肿瘤中间反应和总生存期的分析。 结果:在两个模型中,NL-阿霉素和PLD包裹并释放的阿霉素的血浆AUC相似。然而,与T11相比,C3-TAg中PLD的肿瘤总AUC高2倍(P < 0.05)。与C3-TAg相比,T11肿瘤中CC趋化因子配体(CCL)2和血管内皮生长因子-a(VEGF-a)的表达显著更高,脉管数量更多,而VEGF-c的表达降低(P < 0.05)。在两个模型中,PLD均比NL-阿霉素更有效。 结论:乳腺癌的肿瘤微环境和/或肿瘤细胞特征影响NP的肿瘤递送和疗效,但不影响小分子药物。我们的研究结果揭示了肿瘤微环境在NP递送变异性和治疗结果中的作用。
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