PO.CH02.01 · 化学
靶向蛋白质组学绝对定量在患者来源异种移植物中识别BRCA1亚效等位基因及其他PARP抑制剂耐药机制
Absolute quantification by targeted proteomics identifies BRCA1 hypomorphs and other PARP inhibitor resistance mechanisms in patient-derived xenografts
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摘要 Abstract
中文摘要
引言:BRCA1是一种肿瘤抑制因子,为DNA双链断裂的同源重组修复(HRR)所必需。BRCA1功能缺失突变导致HRR缺陷,并使肿瘤对铂类化疗和PARP抑制剂(PARPi)敏感。标准的基因水平检测可能遗漏影响BRCA1蛋白功能的其他机制,如BRCA1启动子甲基化,或其他PARPi反应的分子决定因素,如部分恢复HRR的亚效蛋白表达,从而导致PARPi耐药。当前适用于福尔马林固定石蜡包埋(FFPE)组织的标准测定(如免疫组化)在表征BRCA1蛋白水平方面能力有限——凸显了对蛋白水平定量新方法的需求。
方法:使用与Evosep One nanoLC联用的Orbitrap Exploris 480质谱仪进行靶向蛋白质组学,以定量跨越N端RING结构域、外显子11和C端BRCT结构域的BRCA1肽段,从而基于结构域特异性肽段丰度实现BRCA1亚效等位基因的检测。该靶向组合测定还包括其他DNA修复蛋白。该测定应用于来自26个患者来源异种移植(PDX)的56个FFPE肿瘤,其中包括7个在获得性olaparib耐药时采集的样本。
结果:来自BRCA1野生型、BRCA2突变或PALB2突变模型的PDX肿瘤(n=10)的中位BRCA1肽段表达水平为45.8 amol/μg(范围20.7-120.9),与正常表达参考范围一致。相比之下,具有BRCA1启动子高甲基化的PDX肿瘤(n=4)表现出低BRCA1肽段水平(<1.8 amol/μg)。在获得性olaparib耐药时,来自相同模型的肿瘤显示BRCA1蛋白增加约25倍,与去甲基化和BRCA1表达恢复一致。在BRCA1突变PDX模型(n=15)中,大多数模型表现出低表达,与功能缺失突变一致(n=8,<5 amol/μg)。靶向蛋白质组学进一步识别了七个候选BRCA1突变PDX亚效病例,其中至少一个BRCA1结构域肽段超过约5 amol/μg阈值;其BRCA1肽段水平范围为6.2至31.7 amol/μg。七个亚效病例中有六个(86%)对PARPi耐药。在四个PARPi耐药PDX模型中观察到低53BP1表达;其中三个具有已知的53BP1失调或突变。然而,一个模型尽管不存在已知的TP53BP1突变仍显示低53BP1,暗示53BP1缺失可能是耐药的一个合理促成因素。
结论:这些数据支持将该靶向蛋白质组学测定作为一种实用方法,用于在蛋白水平区分正常与低BRCA1表达、提名与PARPi耐药相关的亚效BRCA1变异,并识别其他耐药生物标志物的缺陷。
查看英文原文 English abstract
Introduction: BRCA1 is a tumor suppressor required for homologous recombination repair (HRR) of DNA double‑strand breaks. BRCA1 loss-of-function mutations cause HRR deficiency and sensitize tumors to platinum-based chemotherapy and PARP inhibitors (PARPi). Standard gene-level testing may miss other mechanisms affecting BRCA1 protein functionality, such as BRCA1 promoter methylation, or other PARPi response molecular determinants, such as hypomorphic protein expression that partially restores HRR, leading to PARPi resistance. Current standard assays suitable for formalin-fixed paraffin-embedded (FFPE) tissue, such as immunohistochemistry, are limited in their ability to characterize BRCA1 protein levels - highlighting the need for new approaches for protein-level quantification.
Methods: Targeted proteomics was performed on an Orbitrap Exploris 480 mass spectrometer coupled to an Evosep One nanoLC to quantify BRCA1 peptides spanning the N-terminal RING domain, Exon 11 and C-terminal BRCT domain, enabling BRCA1 hypomorph detection based on domain-specific peptide abundance. The targeted panel assay also included additional DNA repair proteins. This assay was applied to 56 FFPE tumors from 26 patient-derived xenografts (PDX), including 7 samples collected at acquired olaparib resistance.
Results: PDX tumours from BRCA1 wild-type, BRCA2-mutant, or PALB2-mutant models (n=10), had a median BRCA1 peptide expression level of 45.8 amol/µg (range 20.7-120.9), consistent with a normal-expression reference range. In contrast, PDX tumors with BRCA1 promoter hypermethylation (n=4) exhibited low BRCA1 peptide levels (< 1.8 amol/µg). At acquired olaparib resistance, tumours from the same models showed a ~25-fold BRCA1 protein increase, consistent with demethylation and restored BRCA1 expression. Among BRCA1-mutant PDX models (n=15), most models exhibited low expression, consistent with loss-of-function mutations (n=8 with < 5 amol/µg). Targeted proteomics further identified seven candidate BRCA1-mutant PDX hypomorphic cases in which at least one BRCA1 domain peptide exceeded the ~5 amol/µg threshold; their BRCA1 peptide levels ranged from 6.2 to 31.7 amol/µg. Six out of seven hypomorph cases (86%) were PARPi resistant. Low 53BP1 expression was observed in four PARPi-resistant PDX models; three of these had known 53BP1 dysregulation or mutation. However, one model showed low 53BP1 despite the absence of a known TP53BP1 mutation, implicating 53BP1 loss as a plausible contributor to resistance.
Conclusion: These data support this targeted proteomic assay as a practical approach to distinguish normal from low BRCA1 expression at the protein level, nominate hypomorphic BRCA1 variants linked to PARPi resistance, and identify deficiency in additional resistance biomarkers.
利益披露 Disclosure
B. Kim,
AstraZeneca Employment.
A. Llop-Guevara,
AstraZeneca Employment.
S. M. Sweet,
AstraZeneca Employment.
C. Lombard-Banek,
AstraZeneca Employment.
R. Hanson,
AstraZeneca Employment.
C. Richardson,
AstraZeneca Employment.
V. Serra,
AstraZeneca Employment.
E. A. Harrington,
AstraZeneca Employment.
J. Forment,
AstraZeneca Employment.
Y. Kim,
AstraZeneca Employment.