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基于图像的微图案肿瘤模型中患者来源的胰腺肿瘤-基质细胞相互作用分析

Image-Based Profiling of Patient-Derived Pancreatic Tumor-Stromal Cell Interactions Within a Micropatterned Tumor Model.

作者信息

Mukundan Shilpaa, Sharma Kriti, Honselmann Kim, Singleton Amy, Liss Andrew, Parekkadan Biju

机构信息

1 Department of Biomedical Engineering, Rutgers, The State University of New Jersey, Piscataway, NJ, USA.

2 Department of Surgery, Andrew L. Warshaw Institute for Pancreatic Cancer Research, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.

出版信息

Technol Cancer Res Treat. 2018 Jan 1;17:1533033818803632. doi: 10.1177/1533033818803632.

Abstract

Pancreatic cancer is one of the most aggressive cancers with a 5-year patient survival rate of 8.2% and limited availability of therapeutic agents to target metastatic disease. Pancreatic cancer is characterized by a dense stromal cell population with unknown contribution to the progression or suppression of tumor growth. In this study, we describe a microengineered tumor stromal assay of patient-derived pancreatic cancer cells to study the heterotypic interactions of patient pancreatic cancer cells with different types of stromal fibroblasts under basal and drug-treated conditions. The population dynamics of tumor cells in terms of migration and viability were visualized as a functional end point. Coculture with cancer-associated fibroblasts increased the migration of cancer cells when compared to dermal fibroblasts. Finally, we imaged the response of a bromodomain and extraterminal inhibitor on the viability of pancreatic cancer clusters surrounding by stroma in microengineered tumor stromal assay. We visualized a codynamic reduction in both cancer and stromal cells with bromodomain and extraterminal treatment compared to the dimethyl sulfoxide-treated group. This study demonstrates the ability to engineer tumor-stromal assays with patient-derived cells, study the role of diverse types of stromal cells on cancer progression, and precisely visualize a coculture during the screening of therapeutic compounds.

摘要

胰腺癌是侵袭性最强的癌症之一,患者5年生存率为8.2%,且针对转移性疾病的治疗药物有限。胰腺癌的特征是基质细胞密集,其对肿瘤生长的进展或抑制作用尚不清楚。在本研究中,我们描述了一种微工程化的肿瘤基质检测方法,用于研究患者来源的胰腺癌细胞在基础条件和药物处理条件下与不同类型基质成纤维细胞的异型相互作用。将肿瘤细胞在迁移和活力方面的群体动态视为功能终点。与真皮成纤维细胞相比,与癌症相关成纤维细胞共培养可增加癌细胞的迁移。最后,我们在微工程化肿瘤基质检测中对含溴结构域和额外末端结构域抑制剂对被基质包围的胰腺癌簇活力的反应进行了成像。与二甲基亚砜处理组相比,我们观察到经含溴结构域和额外末端结构域处理后,癌细胞和基质细胞的活力均呈动态下降。这项研究证明了利用患者来源的细胞构建肿瘤-基质检测方法的能力,研究不同类型基质细胞在癌症进展中的作用,并在治疗化合物筛选过程中精确观察共培养情况。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38de/6201185/0de5ba6381eb/10.1177_1533033818803632-fig1.jpg

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