PO.TB04.06 · 肿瘤生物学

来源于PARP抑制剂预处理的乳腺癌和卵巢癌患者的一组PDX模型的表征及其治疗评估

Characterization of a panel of PDX models derived from PARP inhibitors pretreated breast and ovarian cancer patients for therapeutic evaluation

编号 2177 展板 28 时间 4/20 09:00–12:00 区域 Section 29 主讲 Qingzhi Liu, PhD
分会场 In Vivo Models 1: Mouse, Zebrafish, and Alternative Species
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作者与单位 Authors & Affiliations

Qingzhi Liu, Jinxi Wang, Leilei Chen, Wubin Qian, Likun Zhang, Ludovic Bourre, Jessie Jingjing Wang

Crown Bioscience, Inc., San Diego, CA

摘要 Abstract

中文摘要
引言:聚(ADP-核糖)聚合酶(PARP)抑制剂使同源重组缺陷型癌症患者获益,尤其是BRCA突变患者,但耐药性常通过多种适应性机制出现,限制了长期疗效。为了更好地重现临床耐药并推进精准治疗开发,我们建立了一组来源于PARP抑制剂预处理的乳腺癌和卵巢癌的患者来源异种移植(PDX)模型,提供了一个用于研究耐药机制和评估新型治疗策略的转化平台。 方法:从经PARP抑制剂预处理(Olaparib、Niraparib±Bevacizumab,以及Talazoparib+Avelumab)的患者中建立了十种PDX模型,皮下植入免疫缺陷小鼠(NOD.SCID、BALB/c裸鼠、NSG样),并通过组织学和RNA测序进行表征。部分患者存在同源重组相关改变(BRCA1/BRCA2突变、PALB2缺失),且所有患者在PARP抑制剂治疗后均出现疾病进展。在体内疗效研究中,三种乳腺癌PDX模型按临床方案接受Olaparib(100 mg/kg,口服,每日一次)治疗3-5周。肿瘤生长抑制(TGI)计算为[1 -(平均治疗组肿瘤体积/平均对照组肿瘤体积)]×100%。通过scarHRD和PureCN从全外显子组测序得出的同源重组缺陷(HRD)评分采用38为临界值;高HRD评分(≥38)与PARP抑制剂敏感性相关。 结果:建立了一组经PARP抑制剂临床预处理的PDX模型,包括三种乳腺癌(BR9671、BR9679、BR9815)和七种卵巢癌(OV9576、OV9670、OV9692、OV9563、OV9568、OV9803、OV9805),其基因组特征与临床相当。为在体内评估PARP抑制剂的疗效,对来源于同一位经Olaparib治疗的BRCA1突变患者的BR9671、BR9679和BR9815再次用Olaparib进行挑战。尽管HRD评分较高(分别为58、59和64),三种PDX模型均观察到肿瘤进展(TGI:BR9671=29.68%、BR9679=-9.30%、BR9815=13.77%),表明存在显著的基因组不稳定性。此外,每个模型均携带MDM4-S367L突变,并具有高MDM4表达(BR9671:3.654,BR9679:3.755,BR9815:4.539)和高MDM2表达(BR9671:6.028,BR9679:6.118,BR9815:6.524)。由于MDM2/MDM4是已知的p53抑制因子,这些发现提示p53功能受损可能促进PARP抑制剂耐药;但仍需进一步研究。 结论:通过开发这组经临床PARP抑制剂预处理的PDX模型,我们建立了一个反映临床疾病进展的转化平台。这些模型有助于研究耐药机制并评估新一代疗法及联合方案,为临床前决策提供支持。
查看英文原文 English abstract
Introduction: Poly (ADP‑ribose) polymerase (PARP) inhibitors benefit patients with homologous recombination-deficient cancers, especially BRCA‑mutated, but resistance frequently emerges through multiple adaptive mechanisms, limiting long‑term efficacy. To better recapitulate clinical resistance and advance precision therapy development, we established a panel of patient‑derived xenograft (PDX) models from PARP inhibitors pretreated breast and ovarian cancers, providing a translational platform to investigate resistance mechanisms and assess novel treatment strategies. Methods: Ten PDX models from patients pretreated with PARP inhibitors (Olaparib, Niraparib ± Bevacizumab), and Talazoparib + Avelumab) were established subcutaneously in immunodeficient mice (NOD.SCID, BALB/c nude, NSG-like) and characterized by histology and RNA sequencing. Homologous recombination-related alterations (BRCA1/BRCA2 mutations, PALB2 deletions) were present in some patients, and all had disease progression after PARP inhibitor therapy. For in vivo efficacy studies, three breast cancer PDX models were treated with Olaparib (100 mg/kg, p.o., QD) for 3-5 weeks following clinical schedule. Tumor growth inhibition (TGI) was calculated as [1 - (mean treated tumor volume / mean control tumor volume)] * 100%. Homologous recombination deficiency (HRD) scores from whole exome sequencing via scarHRD and PureCN used a cutoff of 38; high HRD scores (≥38) correlated with PARP inhibitors sensitivity. Results: A panel of PAPR inhibitor clinical pretreated PDX models, including three breast cancer (BR9671, BR9679, BR9815) and seven ovarian cancer (OV9576, OV9670, OV9692, OV9563, OV9568, OV9803, OV9805), were established with comparable genomic profiles to the clinic. To evaluate the PARP inhibitor efficacy in vivo , BR9671, BR9679 and BR9815 derived from the same Olaparib‑treated BRCA1 mutated patient were re‑challenged with Olaparib. Tumor progression was observed in all three PDX models (TGI: BR9671=29.68%, BR9679=-9.30 %, BR9815=13.77%) despite high HRD scores (58, 59, and 64, respectively), indicating pronounced genomic instability. Besides, each model carried the MDM4-S367L mutation and had high MDM4 (BR9671: 3.654, BR9679: 3.755, BR9815: 4.539) and MDM2 (BR9671: 6.028, BR9679: 6.118, BR9815: 6.524) expression. As MDM2/MDM4 are known p53 suppressors, these findings suggest impaired p53 function may contribute to PARP inhibitor resistance; but further investigation is required. Conclusion: By developing this panel of clinically PARP inhibitor pretreated PDX models, we established a translational platform that reflects clinical disease progression. These models enable investigation of resistance mechanisms and evaluation of next-generation therapies and combinations, supporting preclinical decision-making.
利益披露 Disclosure
Q. Liu, None.. J. Wang, None.. L. Chen, None.. W. Qian, None.. L. Zhang, None.. L. Bourre, None.. J. J. Wang, None.

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