基质重塑对胰腺肿瘤组织内癌细胞和基质细胞所受力的影响。

IF 2.9 4区 医学 Q3 ENGINEERING, BIOMEDICAL BioMedical Engineering OnLine Pub Date : 2024-08-30 DOI:10.1186/s12938-024-01278-0
Morgan Connaughton, Mahsa Dabagh
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引用次数: 0

摘要

对肿瘤基质进行重塑(再造)已被证明可以提高抗肿瘤疗法的疗效,而不会破坏基质。尽管目前仍不清楚哪种基质成分/-s 和哪些特征会阻碍纳米粒子深入癌细胞,但我们假设基质抵抗纳米粒子渗透的机制主要依赖于基质细胞和癌细胞所受的外在机械力。我们之前的研究表明,随着肿瘤的生长,细胞外基质(ECM)硬度的变化会影响对成纤维细胞和癌细胞施加的应力,而恶性癌细胞会对基质产生更大的应力。本研究试图明确识别这些成分对肿瘤组织内应力分布和大小的重塑作用,这将最终影响基质对治疗的耐受性。在本研究中,我们的目标是构建一个由癌细胞、基质细胞和 ECM 组成的胰腺肿瘤组织三维硅学模型,以确定基质重塑如何改变胰腺肿瘤组织内的应力分布和大小。我们的研究结果表明,ECM 机械性能的变化极大地改变了胰腺肿瘤组织内应力的大小和分布。我们的结果表明,这些应力对 ECM 的特性更为敏感,因为我们看到,对于杨氏模量为 250 Pa 的较软 ECM,应力最大可达 22,000 Pa。胰腺肿瘤组织内的应力分布和大小对较硬癌细胞(杨氏模量为 2400 Pa 的 PANC-1)周围基质细胞机械特性变化的敏感性不高。然而,较软的癌细胞(MIA-PaCa-2,杨氏模量为 500 Pa)会增加较硬的基质细胞和较硬的 ECM 所承受的应力。这项研究提供了一个独特的平台来剖析和量化单个基质成分对肿瘤组织内应力分布的影响,为了解哪些基质成分对有效重塑至关重要迈出了重要的第一步。我们将利用这些知识克服肿瘤对纳米粒子渗透的抵抗力。
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Impact of stroma remodeling on forces experienced by cancer cells and stromal cells within a pancreatic tumor tissue.

Remodeling (re-engineering) of a tumor's stroma has been shown to improve the efficacy of anti-tumor therapies, without destroying the stroma. Even though it still remains unclear which stromal component/-s and what characteristics hinder the reach of nanoparticles deep into cancer cells, we hypothesis that mechanisms behind stroma's resistance to the penetration of nanoparticles rely heavily on extrinsic mechanical forces on stromal cells and cancer cells. Our hypothesis has been formulated on the basis of our previous study which has shown that changes in extracellular matrix (ECM) stiffness with tumor growth influence stresses exerted on fibroblasts and cancer cells, and that malignant cancer cells generate higher stresses on their stroma. This study attempts to establish a distinct identification of the components' remodeling on the distribution and magnitude of stress within a tumor tissue which ultimately will impact the resistance of stroma to treatment. In this study, our objective is to construct a three-dimensional in silico model of a pancreas tumor tissue consisting of cancer cells, stromal cells, and ECM to determine how stromal remodeling alters the stresses distribution and magnitude within the pancreas tumor tissue. Our results show that changes in mechanical properties of ECM significantly alter the magnitude and distribution of stresses within the pancreas tumor tissue. Our results revealed that these stresses are more sensitive to ECM properties as we see the stresses reaching to a maximum of 22,000 Pa for softer ECM with Young's modulus of 250 Pa. The stress distribution and magnitude within the pancreas tumor tissue does not show high sensitivity to the changes in mechanical properties of stromal cells surrounding stiffer cancer cells (PANC-1 with Young's modulus of 2400 Pa). However, softer cancer cells (MIA-PaCa-2 with (Young's modulus of 500 Pa) increase the stresses experienced by stiffer stromal cells and for stiffer ECM. By providing a unique platform to dissect and quantify the impact of individual stromal components on the stress distribution within a tumor tissue, this study serves as an important first step in understanding of which stromal components are vital for an efficient remodeling. This knowledge will be leveraged to overcome a tumor's resistance against the penetration of nanoparticles on a per-patient basis.

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来源期刊
BioMedical Engineering OnLine
BioMedical Engineering OnLine 工程技术-工程:生物医学
CiteScore
6.70
自引率
2.60%
发文量
79
审稿时长
1 months
期刊介绍: BioMedical Engineering OnLine is an open access, peer-reviewed journal that is dedicated to publishing research in all areas of biomedical engineering. BioMedical Engineering OnLine is aimed at readers and authors throughout the world, with an interest in using tools of the physical and data sciences and techniques in engineering to understand and solve problems in the biological and medical sciences. Topical areas include, but are not limited to: Bioinformatics- Bioinstrumentation- Biomechanics- Biomedical Devices & Instrumentation- Biomedical Signal Processing- Healthcare Information Systems- Human Dynamics- Neural Engineering- Rehabilitation Engineering- Biomaterials- Biomedical Imaging & Image Processing- BioMEMS and On-Chip Devices- Bio-Micro/Nano Technologies- Biomolecular Engineering- Biosensors- Cardiovascular Systems Engineering- Cellular Engineering- Clinical Engineering- Computational Biology- Drug Delivery Technologies- Modeling Methodologies- Nanomaterials and Nanotechnology in Biomedicine- Respiratory Systems Engineering- Robotics in Medicine- Systems and Synthetic Biology- Systems Biology- Telemedicine/Smartphone Applications in Medicine- Therapeutic Systems, Devices and Technologies- Tissue Engineering
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