LNCaP公司
细胞外基质
前列腺癌
前列腺
弹性成像
磁共振成像
磁共振弹性成像
癌症研究
医学
病理
癌症
化学
内科学
放射科
超声波
生物化学
作者
Avan Kader,Joachim Snellings,Lisa C. Adams,Pablo Gottheil,Dilyana B. Mangarova,Jennifer L Heyl,Jan O. Kaufmann,Jana Moeckel,Julia Brangsch,Timo Alexander Auer,Federico Collettini,Frank Sauer,Bernd Hamm,Josef A. Käs,Ingolf Sack,Marcus R. Makowski,Jürgen Braun
出处
期刊:Biomaterials advances
[Elsevier BV]
日期:2024-04-29
卷期号:161: 213884-213884
被引量:2
标识
DOI:10.1016/j.bioadv.2024.213884
摘要
Prostate cancer (PCa) is a significant health problem in the male population of the Western world. Magnetic resonance elastography (MRE), an emerging medical imaging technique sensitive to mechanical properties of biological tissues, detects PCa based on abnormally high stiffness and viscosity values. Yet, the origin of these changes in tissue properties and how they correlate with histopathological markers and tumor aggressiveness are largely unknown, hindering the use of tumor biomechanical properties for establishing a noninvasive PCa staging system. To infer the contributions of extracellular matrix (ECM) components and cell motility, we investigated fresh tissue specimens from two PCa xenograft mouse models, PC3 and LNCaP, using magnetic resonance elastography (MRE), diffusion-weighted imaging (DWI), quantitative histology, and nuclear shape analysis. Increased tumor stiffness and impaired water diffusion were observed to be associated with collagen and elastin accumulation and decreased cell motility. Overall, LNCaP, while more representative of clinical PCa than PC3, accumulated fewer ECM components, induced less restriction of water diffusion, and exhibited increased cell motility, resulting in overall softer and less viscous properties. Taken together, our results suggest that prostate tumor stiffness increases with ECM accumulation and cell adhesion - characteristics that influence critical biological processes of cancer development. MRE paired with DWI provides a powerful set of imaging markers that can potentially predict prostate tumor development from benign masses to aggressive malignancies in patients. STATEMENT OF SIGNIFICANCE: Xenograft models of human prostate tumor cell lines, allowing correlation of microstructure-sensitive biophysical imaging parameters with quantitative histological methods, can be investigated to identify hallmarks of cancer.
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