High throughput quantification of cancer antigens of tumor biopsies: A novel strategy using quantum dot nanocrystals. Ghazani, A., Aviel-Ronen1, S., Lee, J. A., Klostranec, J., Xiang, Q., Chan, W., & Tsao, M. Cancer Res, 67(9 Supplement):183–183, May, 2007. Publisher: American Association for Cancer Research Section: Clinical Research![High throughput quantification of cancer antigens of tumor biopsies: A novel strategy using quantum dot nanocrystals [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper abstract bibtex 183 Current analysis of tumor progression and staging of tumor biopsies include microscopic examination of hundreds of tissue samples and evaluation of protein expression levels. The intensity of cancer markers, as determined by visual analysis of colorimetric stains, is used to define a numerical score for staging of tumor biopsies and provide merely semi quantitative valuesand a limited range especially at a very low or high expression level. Conventional fluorescence dyes have also limited applications, as the accuracy of quantification can be compromised by the photo-bleaching property of fluorophores. This study aimed to develop a method for quantifications of tumor antigens in an accurate, sensitive and effective manner. We employed quantum dots (QDs), semiconductor nanocrystals, as immulabeling agents. QDs have many advantageous properties over traditional fluorescent dyes including emitting significantly brighter signals over tissue autofluorescent, being resistant to photobleaching and enabling simultaneous detection of multiplex biomarkers. Using QD nanocrystals in conjunction with optical spectroscopy, commonly used for single molecule fluorescence analysis, we have developed a method to quantify protein expression in tissue microarray. We have also developed a set of automated algorithms to remove tissue autofluorescence and perform a comprehensive analysis of protein expression data. Validation studies were carried out using epidermal growth factor receptor (EGFR) on 8 different lung carcinoma xenografts, known to have differential expression level of EGFR. Data obtained from this method were shown to be congruent to endogenous mRNA level of EGFR obtained from Quantitative Real Time Polymerase Chain Reaction (Q-RT-PCR). To validate this method in primary tumor samples, we compared the measurements obtained from QD-immunolabeling against EGFR for the tumor regions assessed to the subjective immunohistochemistry scoring on non-small cell lung cancer in a tissue microarray slide. We found a strong correlation of 96% between the two methods. Application of QD-based immunolabeling and quantification method in molecular pathology enables accurate, sensitive and effective quantitative analysis of protein expression in tumor tissues, with potential impact on cancer diagnosis and treatment.
@article{ghazani_high_2007,
title = {High throughput quantification of cancer antigens of tumor biopsies: {A} novel strategy using quantum dot nanocrystals},
volume = {67},
copyright = {American Association for Cancer Research},
issn = {0008-5472, 1538-7445},
shorttitle = {High throughput quantification of cancer antigens of tumor biopsies},
url = {https://cancerres.aacrjournals.org/content/67/9_Supplement/183},
abstract = {183
Current analysis of tumor progression and staging of tumor biopsies include microscopic examination of hundreds of tissue samples and evaluation of protein expression levels. The intensity of cancer markers, as determined by visual analysis of colorimetric stains, is used to define a numerical score for staging of tumor biopsies and provide merely semi quantitative valuesand a limited range especially at a very low or high expression level. Conventional fluorescence dyes have also limited applications, as the accuracy of quantification can be compromised by the photo-bleaching property of fluorophores. This study aimed to develop a method for quantifications of tumor antigens in an accurate, sensitive and effective manner. We employed quantum dots (QDs), semiconductor nanocrystals, as immulabeling agents. QDs have many advantageous properties over traditional fluorescent dyes including emitting significantly brighter signals over tissue autofluorescent, being resistant to photobleaching and enabling simultaneous detection of multiplex biomarkers. Using QD nanocrystals in conjunction with optical spectroscopy, commonly used for single molecule fluorescence analysis, we have developed a method to quantify protein expression in tissue microarray. We have also developed a set of automated algorithms to remove tissue autofluorescence and perform a comprehensive analysis of protein expression data. Validation studies were carried out using epidermal growth factor receptor (EGFR) on 8 different lung carcinoma xenografts, known to have differential expression level of EGFR. Data obtained from this method were shown to be congruent to endogenous mRNA level of EGFR obtained from Quantitative Real Time Polymerase Chain Reaction (Q-RT-PCR). To validate this method in primary tumor samples, we compared the measurements obtained from QD-immunolabeling against EGFR for the tumor regions assessed to the subjective immunohistochemistry scoring on non-small cell lung cancer in a tissue microarray slide. We found a strong correlation of 96\% between the two methods. Application of QD-based immunolabeling and quantification method in molecular pathology enables accurate, sensitive and effective quantitative analysis of protein expression in tumor tissues, with potential impact on cancer diagnosis and treatment.},
language = {en},
number = {9 Supplement},
urldate = {2021-11-06},
journal = {Cancer Res},
author = {Ghazani, Arezou and Aviel-Ronen1, Sarit and Lee, Jeongjin A. and Klostranec, Jesse and Xiang, Qing and Chan, Warren and Tsao, Ming},
month = may,
year = {2007},
note = {Publisher: American Association for Cancer Research
Section: Clinical Research},
pages = {183--183},
file = {Snapshot:files/2191/183.html:text/html},
}
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The intensity of cancer markers, as determined by visual analysis of colorimetric stains, is used to define a numerical score for staging of tumor biopsies and provide merely semi quantitative valuesand a limited range especially at a very low or high expression level. Conventional fluorescence dyes have also limited applications, as the accuracy of quantification can be compromised by the photo-bleaching property of fluorophores. This study aimed to develop a method for quantifications of tumor antigens in an accurate, sensitive and effective manner. We employed quantum dots (QDs), semiconductor nanocrystals, as immulabeling agents. QDs have many advantageous properties over traditional fluorescent dyes including emitting significantly brighter signals over tissue autofluorescent, being resistant to photobleaching and enabling simultaneous detection of multiplex biomarkers. Using QD nanocrystals in conjunction with optical spectroscopy, commonly used for single molecule fluorescence analysis, we have developed a method to quantify protein expression in tissue microarray. We have also developed a set of automated algorithms to remove tissue autofluorescence and perform a comprehensive analysis of protein expression data. Validation studies were carried out using epidermal growth factor receptor (EGFR) on 8 different lung carcinoma xenografts, known to have differential expression level of EGFR. Data obtained from this method were shown to be congruent to endogenous mRNA level of EGFR obtained from Quantitative Real Time Polymerase Chain Reaction (Q-RT-PCR). To validate this method in primary tumor samples, we compared the measurements obtained from QD-immunolabeling against EGFR for the tumor regions assessed to the subjective immunohistochemistry scoring on non-small cell lung cancer in a tissue microarray slide. 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