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患者来源的食管腺癌器官芯片:一个用于功能精准肿瘤学的生理相关平台。

Patient-derived esophageal adenocarcinoma organ chip: a physiologically relevant platform for functional precision oncology.

作者信息

Pal Sanjima, Shimshoni Elee, Torres Salvador Flores, Kong Mingyang, Tai Kulsum, Sangwan Veena, Bertos Nicholas, Bailey Swneke Donovan, Bérubé Julie, Ingber Donald E, Ferri Lorenzo

机构信息

Cancer Research Program, Research Institute of the McGill University Health Centre, Montreal, QC, Canada.

Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, USA.

出版信息

J Transl Med. 2025 May 23;23(1):577. doi: 10.1186/s12967-025-06593-1.

Abstract

BACKGROUND

Esophageal adenocarcinoma (EAC) is the sixth most deadly cancer worldwide, with increasing incidence in North America. As no targeted therapy or immunotherapy has revolutionized the management of EAC, chemotherapy is the only standard of care. Most patients with EAC experience poor outcomes because of the inherent or acquired resistance to chemotherapy.

METHODS

Adapting a patient-centered approach, we leveraged a microfluidic cell culture technology platform (Emulate), organoids derived from treatment-naive patient tumors or adjacent normal tissues, and patient-matched cancer-associated or normal fibroblasts respectively, to develop a novel, physiologically relevant, high-fidelity preclinical esophagus-on-a-chip model. H&E, immunofluorescence staining, live/dead assay, LDH assay, and ELISA-based detection of tumor biomarkers were used to assess treatment responses.

RESULTS

Each patient-specific stroma-inclusive microfluidic esophageal adenocarcinoma on-a-chip (EAC chip) faithfully recreates the tumor-stroma interface while preserving the full diversity of two cell types (epithelia and fibroblasts), genetic landscapes and histological architecture of the source tumors. EAC chips also accurately predict the response to neoadjuvant chemotherapy (NACT) within a clinically useful timeframe (approx. 12 days). A docetaxel-based triplet chemotherapy regimen matched with the treatment of the source patient was successfully perfused through the interstitial space within this model. Therefore, EAC chips more accurately recapitulate inpatient pathological and objective responses than the corresponding static 3D-organoid-only cultures.

CONCLUSIONS

Overall, this model is an effective tool for predicting patients' responses to chemotherapy and testing tumor- or stroma-targeted alternative therapies. Moreover, these high-fidelity, low-throughput EAC chips effectively complement high-throughput PDO culture-based drug testing and provide improved insights into drug efficacy before human studies.

摘要

背景

食管腺癌(EAC)是全球第六大致命癌症,在北美发病率呈上升趋势。由于尚无靶向治疗或免疫疗法彻底改变EAC的治疗方式,化疗是唯一的标准治疗方法。大多数EAC患者因对化疗存在固有或获得性耐药而预后不佳。

方法

我们采用以患者为中心的方法,利用微流控细胞培养技术平台(Emulate)、来自未经治疗患者肿瘤或相邻正常组织的类器官,以及患者匹配的癌症相关或正常成纤维细胞,开发了一种新型的、生理相关的、高保真的临床前食管芯片模型。使用苏木精和伊红染色(H&E)、免疫荧光染色、活/死检测、乳酸脱氢酶(LDH)检测以及基于酶联免疫吸附测定(ELISA)的肿瘤生物标志物检测来评估治疗反应。

结果

每个包含患者特异性基质的微流控食管腺癌芯片(EAC芯片)忠实地再现了肿瘤-基质界面,同时保留了两种细胞类型(上皮细胞和成纤维细胞)的全部多样性、来源肿瘤的基因图谱和组织学结构。EAC芯片还能在临床有用的时间范围内(约12天)准确预测新辅助化疗(NACT)的反应。与来源患者治疗方案匹配的基于多西他赛的三联化疗方案成功灌注通过该模型的间质空间。因此,与相应的仅静态3D类器官培养相比,EAC芯片能更准确地概括住院患者的病理和客观反应。

结论

总体而言,该模型是预测患者对化疗反应以及测试肿瘤或基质靶向替代疗法的有效工具。此外,这些高保真、低通量的EAC芯片有效地补充了基于高通量类器官培养的药物测试,并在人体研究之前提供了对药物疗效的更好见解。

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