Characterisation of Collagen Re-Modelling in Localised Prostate Cancer Using Second-Generation Harmonic Imaging and Transrectal Ultrasound Shear Wave Elastography

Prostate cancer has a poor prognosis and high mortality rate due to metastases. Extracellular matrix (ECM) re-modelling and stroma composition have been linked to cancer progression, including key components of cell migration, tumour metastasis, and tissue modulus. Moreover, collagens are one of the...

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Autores principales:	Wael Ageeli, Xinyu Zhang, Chidozie N. Ogbonnaya, Yuting Ling, Jennifer Wilson, Chunhui Li, Ghulam Nabi
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	prostate collagen second-generation harmonics shear wave elastography ultrasound Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282
Acceso en línea:	https://doaj.org/article/b0e23d298f2b47ccb60e4ea65d6c56d3
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spelling	oai:doaj.org-article:b0e23d298f2b47ccb60e4ea65d6c56d32021-11-11T15:34:46ZCharacterisation of Collagen Re-Modelling in Localised Prostate Cancer Using Second-Generation Harmonic Imaging and Transrectal Ultrasound Shear Wave Elastography10.3390/cancers132155532072-6694https://doaj.org/article/b0e23d298f2b47ccb60e4ea65d6c56d32021-11-01T00:00:00Zhttps://www.mdpi.com/2072-6694/13/21/5553https://doaj.org/toc/2072-6694Prostate cancer has a poor prognosis and high mortality rate due to metastases. Extracellular matrix (ECM) re-modelling and stroma composition have been linked to cancer progression, including key components of cell migration, tumour metastasis, and tissue modulus. Moreover, collagens are one of the most significant components of the extracellular matrix and have been ascribed to many aspects of neoplastic transformation. This study characterises collagen re-modelling around localised prostate cancer using the second harmonic generation of collagen (SHG), genotyping and ultrasound shear wave elastography (USWE) measured modulus in men with clinically localised prostate cancer. Tempo-sequence assay for gene expression of COL1A1 and COL3A1 was used to confirm the expression of collagen. Second-harmonic generation imaging and genotyping of ECM around prostate cancer showed changes in content, orientation, and type of collagen according to Gleason grades (cancer aggressivity), and this correlated with the tissue modulus measured by USWE in kilopascals. Furthermore, there were clear differences between collagen orientation and type around normal and cancer tissues.Wael AgeeliXinyu ZhangChidozie N. OgbonnayaYuting LingJennifer WilsonChunhui LiGhulam NabiMDPI AGarticleprostatecollagensecond-generation harmonicsshear waveelastographyultrasoundNeoplasms. Tumors. Oncology. Including cancer and carcinogensRC254-282ENCancers, Vol 13, Iss 5553, p 5553 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	prostate collagen second-generation harmonics shear wave elastography ultrasound Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282
spellingShingle	prostate collagen second-generation harmonics shear wave elastography ultrasound Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282 Wael Ageeli Xinyu Zhang Chidozie N. Ogbonnaya Yuting Ling Jennifer Wilson Chunhui Li Ghulam Nabi Characterisation of Collagen Re-Modelling in Localised Prostate Cancer Using Second-Generation Harmonic Imaging and Transrectal Ultrasound Shear Wave Elastography
description	Prostate cancer has a poor prognosis and high mortality rate due to metastases. Extracellular matrix (ECM) re-modelling and stroma composition have been linked to cancer progression, including key components of cell migration, tumour metastasis, and tissue modulus. Moreover, collagens are one of the most significant components of the extracellular matrix and have been ascribed to many aspects of neoplastic transformation. This study characterises collagen re-modelling around localised prostate cancer using the second harmonic generation of collagen (SHG), genotyping and ultrasound shear wave elastography (USWE) measured modulus in men with clinically localised prostate cancer. Tempo-sequence assay for gene expression of COL1A1 and COL3A1 was used to confirm the expression of collagen. Second-harmonic generation imaging and genotyping of ECM around prostate cancer showed changes in content, orientation, and type of collagen according to Gleason grades (cancer aggressivity), and this correlated with the tissue modulus measured by USWE in kilopascals. Furthermore, there were clear differences between collagen orientation and type around normal and cancer tissues.
format	article
author	Wael Ageeli Xinyu Zhang Chidozie N. Ogbonnaya Yuting Ling Jennifer Wilson Chunhui Li Ghulam Nabi
author_facet	Wael Ageeli Xinyu Zhang Chidozie N. Ogbonnaya Yuting Ling Jennifer Wilson Chunhui Li Ghulam Nabi
author_sort	Wael Ageeli
title	Characterisation of Collagen Re-Modelling in Localised Prostate Cancer Using Second-Generation Harmonic Imaging and Transrectal Ultrasound Shear Wave Elastography
title_short	Characterisation of Collagen Re-Modelling in Localised Prostate Cancer Using Second-Generation Harmonic Imaging and Transrectal Ultrasound Shear Wave Elastography
title_full	Characterisation of Collagen Re-Modelling in Localised Prostate Cancer Using Second-Generation Harmonic Imaging and Transrectal Ultrasound Shear Wave Elastography
title_fullStr	Characterisation of Collagen Re-Modelling in Localised Prostate Cancer Using Second-Generation Harmonic Imaging and Transrectal Ultrasound Shear Wave Elastography
title_full_unstemmed	Characterisation of Collagen Re-Modelling in Localised Prostate Cancer Using Second-Generation Harmonic Imaging and Transrectal Ultrasound Shear Wave Elastography
title_sort	characterisation of collagen re-modelling in localised prostate cancer using second-generation harmonic imaging and transrectal ultrasound shear wave elastography
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/b0e23d298f2b47ccb60e4ea65d6c56d3
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Characterisation of Collagen Re-Modelling in Localised Prostate Cancer Using Second-Generation Harmonic Imaging and Transrectal Ultrasound Shear Wave Elastography

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