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在患者来源的器官型结直肠癌模型中靶向癌相关成纤维细胞介导的基质信号

Targeting CAFs-Mediated Stromal Signaling in a Patient-Derived Organotypic Colorectal Tumor Model.

作者信息

Lamichhane Astha, Guragain Prasiddha, Heiss Jacob, Rafsanjani Nejad Pouria, Rana Magar Anju, Ciavattone Nicholas, Agrawal Seema, Luker Gary D, Tavana Hossein

机构信息

Department of Biomedical Engineering, The University of Akron, Akron, Ohio.

Department of Radiology, University of Michigan, Ann Arbor, Michigan.

出版信息

Mol Cancer Ther. 2025 Aug 1;24(8):1265-1276. doi: 10.1158/1535-7163.MCT-24-0756.

DOI:10.1158/1535-7163.MCT-24-0756
PMID:40228090
Abstract

Colorectal cancer, a significant cause of cancer-related mortality, often exhibits drug resistance, highlighting the need for improved tumor models to advance personalized drug testing and precision therapy. We generated organoids from primary colorectal cancer cells cultured through the conditional reprogramming technique, establishing a framework to perform short-term drug testing studies on patient-derived cells. To model interactions with stromal cells in the tumor microenvironment, we combined cancer cell organoids with carcinoma-associated fibroblasts, a cell type implicated in disease progression and drug resistance. Our organotypic models revealed that carcinoma-associated fibroblasts promote cancer cell proliferation and stemness primarily through hepatocyte growth factor-MET paracrine signaling and activation of cyclin-dependent kinases. Disrupting these tumor-stromal interactions reduced organoid size while limiting oncogenic signals and cancer stemness. Leveraging this tumor model, we identified effective drug combinations targeting colorectal cancer cells and their tumorigenic activities. Our study highlights a path to incorporate patient-derived cells and tumor-stromal interactions into a drug testing workflow that could identify effective therapies for individual patients.

摘要

结直肠癌是癌症相关死亡的一个重要原因,常常表现出耐药性,这凸显了改进肿瘤模型以推进个性化药物测试和精准治疗的必要性。我们通过条件重编程技术培养的原发性结直肠癌细胞生成了类器官,建立了一个对患者来源的细胞进行短期药物测试研究的框架。为了模拟与肿瘤微环境中基质细胞的相互作用,我们将癌细胞类器官与癌相关成纤维细胞相结合,癌相关成纤维细胞是一种与疾病进展和耐药性有关的细胞类型。我们的器官型模型显示,癌相关成纤维细胞主要通过肝细胞生长因子-MET旁分泌信号和细胞周期蛋白依赖性激酶的激活来促进癌细胞增殖和干性。破坏这些肿瘤-基质相互作用会减小类器官大小,同时限制致癌信号和癌症干性。利用这个肿瘤模型,我们确定了针对结直肠癌细胞及其致瘤活性的有效药物组合。我们的研究突出了一条将患者来源的细胞和肿瘤-基质相互作用纳入药物测试工作流程的途径,该工作流程可以为个体患者确定有效的治疗方法。

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本文引用的文献

1
Breast cancers that disseminate to bone marrow acquire aggressive phenotypes through CX43-related tumor-stroma tunnels.扩散至骨髓的乳腺癌通过与CX43相关的肿瘤-基质通道获得侵袭性表型。
J Clin Invest. 2024 Oct 31;134(24):e170953. doi: 10.1172/JCI170953.
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Cancer statistics, 2024.2024年癌症统计数据。
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Inhibiting BRAF/EGFR/MEK suppresses cancer stemness and drug resistance of primary colorectal cancer cells.抑制 BRAF/EGFR/MEK 可抑制原代结直肠癌细胞的癌症干细胞特性和耐药性。
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PI3K/AKT/mTOR signaling transduction pathway and targeted therapies in cancer.PI3K/AKT/mTOR 信号转导通路与癌症的靶向治疗。
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Cancer-associated fibroblasts: challenges and opportunities.癌症相关成纤维细胞:挑战与机遇
Oncotarget. 2023 Mar 21;14:211-214. doi: 10.18632/oncotarget.28385.
6
Cancer-Associated Fibroblasts Promote Radioresistance of Breast Cancer Cells via the HGF/c-Met Signaling Pathway.癌相关成纤维细胞通过 HGF/c-Met 信号通路促进乳腺癌细胞的放射抵抗性。
Int J Radiat Oncol Biol Phys. 2023 Jul 1;116(3):640-654. doi: 10.1016/j.ijrobp.2022.12.029. Epub 2022 Dec 28.
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Therapeutic Targeting of Cancer Stem Cells Prevents Resistance of Colorectal Cancer Cells to MEK Inhibition.癌症干细胞的治疗靶向可防止结肠直肠癌细胞对MEK抑制产生耐药性。
ACS Pharmacol Transl Sci. 2022 Aug 25;5(9):724-734. doi: 10.1021/acsptsci.1c00257. eCollection 2022 Sep 9.
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Cancer-associated fibroblasts and resistance to anticancer therapies: status, mechanisms, and countermeasures.癌症相关成纤维细胞与抗癌治疗耐药性:现状、机制及对策
Cancer Cell Int. 2022 Apr 29;22(1):166. doi: 10.1186/s12935-022-02599-7.
9
Therapeutic Targeting of Stromal-Tumor HGF-MET Signaling in an Organotypic Triple-Negative Breast Tumor Model.在器官型三阴性乳腺癌模型中靶向基质-肿瘤 HGF-MET 信号传导的治疗。
Mol Cancer Res. 2022 Jul 6;20(7):1166-1177. doi: 10.1158/1541-7786.MCR-21-0317.
10
MET-Targeted Therapies and Clinical Outcomes: A Systematic Literature Review.MET 靶向治疗与临床结局:系统文献回顾。
Mol Diagn Ther. 2022 Mar;26(2):203-227. doi: 10.1007/s40291-021-00568-w. Epub 2022 Mar 10.