Visualization and Quantification of the Extracellular Matrix in Prostate Cancer Using an Elastin Specific Molecular Probe
Human prostate cancer (PCa) is a type of malignancy and one of the most frequently diagnosed cancers in men. Elastin is an important component of the extracellular matrix and is involved in the structure and organization of prostate tissue. The present study examined prostate cancer in a xenograft m...
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oai:doaj.org-article:4f93d5471fdf409b963d4d318a415b802021-11-25T16:48:15ZVisualization and Quantification of the Extracellular Matrix in Prostate Cancer Using an Elastin Specific Molecular Probe10.3390/biology101112172079-7737https://doaj.org/article/4f93d5471fdf409b963d4d318a415b802021-11-01T00:00:00Zhttps://www.mdpi.com/2079-7737/10/11/1217https://doaj.org/toc/2079-7737Human prostate cancer (PCa) is a type of malignancy and one of the most frequently diagnosed cancers in men. Elastin is an important component of the extracellular matrix and is involved in the structure and organization of prostate tissue. The present study examined prostate cancer in a xenograft mouse model using an elastin-specific molecular probe for magnetic resonance molecular imaging. Two different tumor sizes (500 mm<sup>3</sup> and 1000 mm<sup>3</sup>) were compared and analyzed by MRI in vivo and histologically and analytically ex vivo. The T1-weighted sequence was used in a clinical 3-T scanner to calculate the relative contrast enhancement before and after probe administration. Our results show that the use of an elastin-specific probe enables better discrimination between tumors and surrounding healthy tissue. Furthermore, specific binding of the probe to elastin fibers was confirmed by histological examination and laser ablation–inductively coupled plasma–mass spectrometry (LA-ICP-MS). Smaller tumors showed significantly higher signal intensity (<i>p</i> > 0.001), which correlates with the higher proportion of elastin fibers in the histological evaluation than in larger tumors. A strong correlation was seen between relative enhancement (RE) and Elastica–van Gieson staining (R2 = 0.88). RE was related to inductively coupled plasma–mass spectrometry data for Gd and showed a correlation (R2 = 0.78). Thus, molecular MRI could become a novel quantitative tool for the early evaluation and detection of PCa.Avan KaderJulia BrangschCarolin ReimannJan O. KaufmannDilyana B. MangarovaJana MoeckelLisa C. AdamsJing ZhaoJessica SaatzHeike TraubRebecca BuchholzUwe KarstBernd HammMarcus R. MakowskiMDPI AGarticlemagnetic resonance imagingmolecular imagingprostate cancerBiology (General)QH301-705.5ENBiology, Vol 10, Iss 1217, p 1217 (2021) |
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magnetic resonance imaging molecular imaging prostate cancer Biology (General) QH301-705.5 |
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magnetic resonance imaging molecular imaging prostate cancer Biology (General) QH301-705.5 Avan Kader Julia Brangsch Carolin Reimann Jan O. Kaufmann Dilyana B. Mangarova Jana Moeckel Lisa C. Adams Jing Zhao Jessica Saatz Heike Traub Rebecca Buchholz Uwe Karst Bernd Hamm Marcus R. Makowski Visualization and Quantification of the Extracellular Matrix in Prostate Cancer Using an Elastin Specific Molecular Probe |
description |
Human prostate cancer (PCa) is a type of malignancy and one of the most frequently diagnosed cancers in men. Elastin is an important component of the extracellular matrix and is involved in the structure and organization of prostate tissue. The present study examined prostate cancer in a xenograft mouse model using an elastin-specific molecular probe for magnetic resonance molecular imaging. Two different tumor sizes (500 mm<sup>3</sup> and 1000 mm<sup>3</sup>) were compared and analyzed by MRI in vivo and histologically and analytically ex vivo. The T1-weighted sequence was used in a clinical 3-T scanner to calculate the relative contrast enhancement before and after probe administration. Our results show that the use of an elastin-specific probe enables better discrimination between tumors and surrounding healthy tissue. Furthermore, specific binding of the probe to elastin fibers was confirmed by histological examination and laser ablation–inductively coupled plasma–mass spectrometry (LA-ICP-MS). Smaller tumors showed significantly higher signal intensity (<i>p</i> > 0.001), which correlates with the higher proportion of elastin fibers in the histological evaluation than in larger tumors. A strong correlation was seen between relative enhancement (RE) and Elastica–van Gieson staining (R2 = 0.88). RE was related to inductively coupled plasma–mass spectrometry data for Gd and showed a correlation (R2 = 0.78). Thus, molecular MRI could become a novel quantitative tool for the early evaluation and detection of PCa. |
format |
article |
author |
Avan Kader Julia Brangsch Carolin Reimann Jan O. Kaufmann Dilyana B. Mangarova Jana Moeckel Lisa C. Adams Jing Zhao Jessica Saatz Heike Traub Rebecca Buchholz Uwe Karst Bernd Hamm Marcus R. Makowski |
author_facet |
Avan Kader Julia Brangsch Carolin Reimann Jan O. Kaufmann Dilyana B. Mangarova Jana Moeckel Lisa C. Adams Jing Zhao Jessica Saatz Heike Traub Rebecca Buchholz Uwe Karst Bernd Hamm Marcus R. Makowski |
author_sort |
Avan Kader |
title |
Visualization and Quantification of the Extracellular Matrix in Prostate Cancer Using an Elastin Specific Molecular Probe |
title_short |
Visualization and Quantification of the Extracellular Matrix in Prostate Cancer Using an Elastin Specific Molecular Probe |
title_full |
Visualization and Quantification of the Extracellular Matrix in Prostate Cancer Using an Elastin Specific Molecular Probe |
title_fullStr |
Visualization and Quantification of the Extracellular Matrix in Prostate Cancer Using an Elastin Specific Molecular Probe |
title_full_unstemmed |
Visualization and Quantification of the Extracellular Matrix in Prostate Cancer Using an Elastin Specific Molecular Probe |
title_sort |
visualization and quantification of the extracellular matrix in prostate cancer using an elastin specific molecular probe |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/4f93d5471fdf409b963d4d318a415b80 |
work_keys_str_mv |
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