A color discriminating broad range cell staining technology for early detection of cell transformation

<b>Background:</b> Advanced diagnostic tools stand today at the heart of successful cancer treatment. CellDetect<sup>&#174;</sup> is a new histochemical staining technology that enables color discrimination between normal cells and a wide variety of neoplastic tissues....

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Main Authors: Sagiv Idit, Idelevich Pavel, Rivkin Ilia, Margalit Rimona, Elkeles Adi, Levitzki Alexander
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2009-01-01
Series:Journal of Carcinogenesis
Subjects:
HPV
Online Access:http://www.carcinogenesis.com/article.asp?issn=1477-3163;year=2009;volume=8;issue=1;spage=16;epage=16;aulast=Sagiv
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spelling doaj-2bd6774833f1423a8a33c455d6647a022020-11-24T23:02:04ZengWolters Kluwer Medknow PublicationsJournal of Carcinogenesis0974-67731477-31632009-01-01811616A color discriminating broad range cell staining technology for early detection of cell transformationSagiv IditIdelevich PavelRivkin IliaMargalit RimonaElkeles AdiLevitzki Alexander<b>Background:</b> Advanced diagnostic tools stand today at the heart of successful cancer treatment. CellDetect<sup>&#174;</sup> is a new histochemical staining technology that enables color discrimination between normal cells and a wide variety of neoplastic tissues. Using this technology, normal cells are colored blue/green, while neoplastic cells color red. This tinctorial difference coincides with clear morphological visualization properties, mainly in tissue samples. Here we show that the CellDetect<sup>&#174;</sup> technology can be deployed to distinguish normal cells from transformed cells and most significantly detect cells in their early pre-cancerous transformed state. <b> Materials and Methods:</b> In tissue culture, we studied the ability of the CellDetect<sup>&#174;</sup> technology to color discriminate foci in a number of two stage transformation systems as well as in a well defined cellular model for cervical cancer development, using HPV16 transformed keratinocytes. <b> Results:</b> In all these cellular systems, the CellDetect<sup>&#174;</sup> technology was able to sensitively show that all transformed cells, including pre-cancerous HPV 16 transformed cells, are colored red, whereas normal cells are colored blue/green. The staining technology was able to pick up: (i) early transformation events in the form of small type 1 foci (non-invasive, not piled up small, with parallel alignment of cells), and (ii) early HPV16 transformed cells, even prior to their ability to form colonies in soft agar. The study shows the utility of the CellDetect<sup>&#174;</sup> technology in early detection of transformation events.http://www.carcinogenesis.com/article.asp?issn=1477-3163;year=2009;volume=8;issue=1;spage=16;epage=16;aulast=SagivCancercell transformationearly detectionHPVtinctorial difference
collection DOAJ
language English
format Article
sources DOAJ
author Sagiv Idit
Idelevich Pavel
Rivkin Ilia
Margalit Rimona
Elkeles Adi
Levitzki Alexander
spellingShingle Sagiv Idit
Idelevich Pavel
Rivkin Ilia
Margalit Rimona
Elkeles Adi
Levitzki Alexander
A color discriminating broad range cell staining technology for early detection of cell transformation
Journal of Carcinogenesis
Cancer
cell transformation
early detection
HPV
tinctorial difference
author_facet Sagiv Idit
Idelevich Pavel
Rivkin Ilia
Margalit Rimona
Elkeles Adi
Levitzki Alexander
author_sort Sagiv Idit
title A color discriminating broad range cell staining technology for early detection of cell transformation
title_short A color discriminating broad range cell staining technology for early detection of cell transformation
title_full A color discriminating broad range cell staining technology for early detection of cell transformation
title_fullStr A color discriminating broad range cell staining technology for early detection of cell transformation
title_full_unstemmed A color discriminating broad range cell staining technology for early detection of cell transformation
title_sort color discriminating broad range cell staining technology for early detection of cell transformation
publisher Wolters Kluwer Medknow Publications
series Journal of Carcinogenesis
issn 0974-6773
1477-3163
publishDate 2009-01-01
description <b>Background:</b> Advanced diagnostic tools stand today at the heart of successful cancer treatment. CellDetect<sup>&#174;</sup> is a new histochemical staining technology that enables color discrimination between normal cells and a wide variety of neoplastic tissues. Using this technology, normal cells are colored blue/green, while neoplastic cells color red. This tinctorial difference coincides with clear morphological visualization properties, mainly in tissue samples. Here we show that the CellDetect<sup>&#174;</sup> technology can be deployed to distinguish normal cells from transformed cells and most significantly detect cells in their early pre-cancerous transformed state. <b> Materials and Methods:</b> In tissue culture, we studied the ability of the CellDetect<sup>&#174;</sup> technology to color discriminate foci in a number of two stage transformation systems as well as in a well defined cellular model for cervical cancer development, using HPV16 transformed keratinocytes. <b> Results:</b> In all these cellular systems, the CellDetect<sup>&#174;</sup> technology was able to sensitively show that all transformed cells, including pre-cancerous HPV 16 transformed cells, are colored red, whereas normal cells are colored blue/green. The staining technology was able to pick up: (i) early transformation events in the form of small type 1 foci (non-invasive, not piled up small, with parallel alignment of cells), and (ii) early HPV16 transformed cells, even prior to their ability to form colonies in soft agar. The study shows the utility of the CellDetect<sup>&#174;</sup> technology in early detection of transformation events.
topic Cancer
cell transformation
early detection
HPV
tinctorial difference
url http://www.carcinogenesis.com/article.asp?issn=1477-3163;year=2009;volume=8;issue=1;spage=16;epage=16;aulast=Sagiv
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