Selection and characterization of DNA aptamer for metastatic prostate cancer recognition and tissue imaging
Prostate cancer (PCa) is the second leading cause of death and most prevalent cancer in men. The absence of curative options for castration-resistant metastatic prostate cancer and biomarkers able to discriminate between indolent and aggressive tumors contribute to these statistics. In this study, a...
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ftpubmed:oai:pubmedcentral.nih.gov:5095011 2023-05-15T16:01:14+02:00 Selection and characterization of DNA aptamer for metastatic prostate cancer recognition and tissue imaging Duan, Minlan Long, Yuqian Yang, Cai Wu, Xiaoqiu Sun, Yang Li, Jianglin Hu, Xiaoxiao Lin, Wei Han, Dongmei Zhao, Yifan Liu, Jing Ye, Mao Tan, Weihong 2016-05-10 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5095011/ http://www.ncbi.nlm.nih.gov/pubmed/27183906 https://doi.org/10.18632/oncotarget.9262 en eng Impact Journals LLC http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5095011/ http://www.ncbi.nlm.nih.gov/pubmed/27183906 http://dx.doi.org/10.18632/oncotarget.9262 Copyright: © 2016 Duan et al. http://creativecommons.org/licenses/by/2.5/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. CC-BY Research Paper Text 2016 ftpubmed https://doi.org/10.18632/oncotarget.9262 2016-11-27T01:12:47Z Prostate cancer (PCa) is the second leading cause of death and most prevalent cancer in men. The absence of curative options for castration-resistant metastatic prostate cancer and biomarkers able to discriminate between indolent and aggressive tumors contribute to these statistics. In this study, a DNA aptamer termed DML-7 was successfully selected against human PCa cell line DU145 by using the cell-based systematic evolution of ligands by exponential enrichment (SELEX) method. The selected aptamer DML-7 was found to internalize into target cells in a temperature-dependent manner and exhibit high binding affinity for target cells with dissociation constants in the nanomolar range. Binding analysis further revealed that DML-7 only binds to DU145 and PC-3 cells with metastatic potential, but not to LNCaP or 22Rv1 cells with low or nonmetastatic potential, demonstrating that DML-7 has excellent selectivity for the recognition of the metastatic PCa cells. Clinical tissue imaging further confirmed these results. Therefore, both high binding affinity and specificity to metastatic PCa cells and tissues afford DML-7 with the potential for development into a novel tool for diagnosis and targeted drug delivery against metastatic prostate cancer. Text DML PubMed Central (PMC) Oncotarget 7 24 36436 36446 |
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Research Paper Duan, Minlan Long, Yuqian Yang, Cai Wu, Xiaoqiu Sun, Yang Li, Jianglin Hu, Xiaoxiao Lin, Wei Han, Dongmei Zhao, Yifan Liu, Jing Ye, Mao Tan, Weihong Selection and characterization of DNA aptamer for metastatic prostate cancer recognition and tissue imaging |
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Prostate cancer (PCa) is the second leading cause of death and most prevalent cancer in men. The absence of curative options for castration-resistant metastatic prostate cancer and biomarkers able to discriminate between indolent and aggressive tumors contribute to these statistics. In this study, a DNA aptamer termed DML-7 was successfully selected against human PCa cell line DU145 by using the cell-based systematic evolution of ligands by exponential enrichment (SELEX) method. The selected aptamer DML-7 was found to internalize into target cells in a temperature-dependent manner and exhibit high binding affinity for target cells with dissociation constants in the nanomolar range. Binding analysis further revealed that DML-7 only binds to DU145 and PC-3 cells with metastatic potential, but not to LNCaP or 22Rv1 cells with low or nonmetastatic potential, demonstrating that DML-7 has excellent selectivity for the recognition of the metastatic PCa cells. Clinical tissue imaging further confirmed these results. Therefore, both high binding affinity and specificity to metastatic PCa cells and tissues afford DML-7 with the potential for development into a novel tool for diagnosis and targeted drug delivery against metastatic prostate cancer. |
format |
Text |
author |
Duan, Minlan Long, Yuqian Yang, Cai Wu, Xiaoqiu Sun, Yang Li, Jianglin Hu, Xiaoxiao Lin, Wei Han, Dongmei Zhao, Yifan Liu, Jing Ye, Mao Tan, Weihong |
author_facet |
Duan, Minlan Long, Yuqian Yang, Cai Wu, Xiaoqiu Sun, Yang Li, Jianglin Hu, Xiaoxiao Lin, Wei Han, Dongmei Zhao, Yifan Liu, Jing Ye, Mao Tan, Weihong |
author_sort |
Duan, Minlan |
title |
Selection and characterization of DNA aptamer for metastatic prostate cancer recognition and tissue imaging |
title_short |
Selection and characterization of DNA aptamer for metastatic prostate cancer recognition and tissue imaging |
title_full |
Selection and characterization of DNA aptamer for metastatic prostate cancer recognition and tissue imaging |
title_fullStr |
Selection and characterization of DNA aptamer for metastatic prostate cancer recognition and tissue imaging |
title_full_unstemmed |
Selection and characterization of DNA aptamer for metastatic prostate cancer recognition and tissue imaging |
title_sort |
selection and characterization of dna aptamer for metastatic prostate cancer recognition and tissue imaging |
publisher |
Impact Journals LLC |
publishDate |
2016 |
url |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5095011/ http://www.ncbi.nlm.nih.gov/pubmed/27183906 https://doi.org/10.18632/oncotarget.9262 |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5095011/ http://www.ncbi.nlm.nih.gov/pubmed/27183906 http://dx.doi.org/10.18632/oncotarget.9262 |
op_rights |
Copyright: © 2016 Duan et al. http://creativecommons.org/licenses/by/2.5/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
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https://doi.org/10.18632/oncotarget.9262 |
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Oncotarget |
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7 |
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24 |
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36436 |
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36446 |
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