PO.CL07.03 · 临床研究

PRKDC调控CDK2表达及胰腺神经内分泌癌对化疗的敏感性

PRKDC regulates CDK2 expression and pancreatic neuroendocrine cancer sensitivity to chemotherapy

海报缩略图:PRKDC调控CDK2表达及胰腺神经内分泌癌对化疗的敏感性
编号 1265 展板 10 时间 4/19 02:00–05:00 区域 Section 49 主讲 Subin Kim, BS;MPH
分会场 Targeting DNA Repair, Cell Cycle, and Tumor Metabolism
查看 PDF 下载 PDF 🔒 查看 / 下载完整 PDF 需登录并开通下载套餐 · 查看套餐 / 开通 AACR 官方页面

作者与单位 Authors & Affiliations

Subin Kim1, Mahnaz Norouzi1, Courtney M. Townsend2, B. Mark Evers3, Piotr Rychahou1

1University of Kentucky, Lexington, KY,2University of Texas Medical Branch, Galveston, TX,3UK Markey Cancer Center, Lexington, KY

摘要 Abstract

中文摘要
背景:胰腺神经内分泌肿瘤(pNETs)常表现为广泛的不可切除转移,并对DNA损伤性化疗产生耐药。本研究评估了DNA-PK抑制作为增强doxorubicin对转移性肿瘤疗效的策略,并考察了DNA-PK-CDK2轴,确认PRKDC是CDK2表达的调节因子。 方法:使用拓扑异构酶II抑制剂doxorubicin诱导DNA双链断裂。在BON和QGP-1神经内分泌细胞系中,使用peposertib或通过siRNA介导的DNA-PK敲低抑制DNA-PK活性。分析来自DNA-PK敲低细胞系的转录组数据以确定基因表达关系。通过western blot和共聚焦显微镜评估doxorubicin对CDK2水平的剂量依赖性影响。通过western blot评估DNA-PK抑制和敲低对doxorubicin诱导的CDK2表达的影响。在BON转移性肺定植小鼠模型中,使用生物发光成像定量转移负荷,评估低剂量doxorubicin(2 mg/kg,腹腔注射)与peposertib(100 mg/kg,口服灌胃)联合的治疗效果。 结果:在BON和QGP-1细胞中,doxorubicin持续诱导CDK2上调,western blot和共聚焦显微镜均显示CDK2蛋白水平剂量依赖性增加,提示存在化疗激活的适应性耐药程序。转录组分析揭示PRKDC(编码DNA-PK催化亚基)与CDK2表达之间存在正相关。重要的是,PRKDC敲低或药理学DNA-PK抑制可阻止这种CDK2诱导,确立了CDK2介导的化疗耐药的PRKDC依赖性机制,并确定DNA-PK为阻断适应性反应的治疗靶点。与这些体外发现一致,两个周期的低剂量doxorubicin联合peposertib在BON肺转移模型中显著抑制肺转移生长并限制胸外播散。 结论:这些发现支持DNA-PK在介导化疗诱导的CDK2上调中的作用,并突出了低PRKDC和CDK2表达与NET患者生存改善的临床相关性。总体而言,这些发现确定了PRKDC-CDK2生存轴作为化疗耐药的驱动因素,并证明持续的低强度DNA损伤在与选择性DNA-PK抑制相结合时,可破坏这一适应性程序,显著降低转移负荷,并在pNETs中带来更持久的反应。 AI使用声明:本摘要的部分内容在生成式AI的协助下进行了修订,并经作者全面审阅和核实。
查看英文原文 English abstract
Background: Pancreatic neuroendocrine tumors (pNETs) frequently present with extensive inoperable metastases that develop resistance to DNA-damaging chemotherapy. This study evaluated DNA‑PK inhibition as a strategy to enhance doxorubicin efficacy against metastatic tumors and examined the DNA-PK-CDK2 axis, with PRKDC identified as a regulator of CDK2 expression. Methods: DNA double-strand breaks were induced using the topoisomerase II inhibitor doxorubicin. DNA-PK activity was inhibited with peposertib or via siRNA-mediated DNA-PK knockdown in BON and QGP-1 neuroendocrine cell lines. Transcriptomic data from DNA-PK knockdown cell lines were analyzed to identify gene expression relationships. Dose-dependent effects of doxorubicin on CDK2 levels were evaluated by western blot and confocal microscopy. The effect of DNA-PK inhibition and knockdown on doxorubicin-induced CDK2 expression was assessed by western blot. Therapeutic efficacy of combined low-dose doxorubicin (2 mg/kg, i.p.) and peposertib (100 mg/kg, oral gavage) was evaluated in a BON metastatic lung colonization mouse model using bioluminescence imaging to quantify metastatic burden. Results: In BON and QGP‑1 cells, doxorubicin consistently induced CDK2 upregulation, and both Western blotting and confocal microscopy showed a dose‑dependent increase in CDK2 protein levels, implicating a chemotherapy‑activated program of adaptive resistance. Transcriptomic analyses revealed a positive correlation between PRKDC (encoding the DNA-PK catalytic subunit) and CDK2 expression. Importantly, PRKDC knockdown or pharmacologic DNA‑PK inhibition prevented this CDK2 induction, establishing a PRKDC‑dependent mechanism of CDK2‑mediated chemoresistance and identifying DNA‑PK as a therapeutic target to block the adaptive response. Consistent with these in vitro findings, two cycles of low‑dose doxorubicin combined with peposertib markedly suppressed pulmonary metastatic growth and limited extrathoracic dissemination in a BON lung metastasis model. Conclusions: These findings support a role for DNA-PK in mediating CDK2 upregulation in response to chemotherapy and highlight the clinical relevance of low PRKDC and CDK2 expression with improved survival in NET patients. Collectively, these findings identify a PRKDC-CDK2 survival axis as a driver of chemoresistance and demonstrate that sustained, low‑intensity DNA damage, when coupled with selective DNA‑PK inhibition, disrupts this adaptive program, substantially reduces metastatic burden, and delivers more durable responses in pNETs. AI use disclosure: Portions of this abstract were revised with the assistance of generative AI and were fully reviewed and verified by the authors.
利益披露 Disclosure
S. Kim, None.. P. Rychahou, None.

← 返回 AACR 2026 检索