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• W2326348533 endingPage "4948" @default.
• W2326348533 startingPage "4941" @default.
• W2326348533 abstract "Metastasis, the capability of tumor cells to spread and grow at distant sites, is the primary factor in cancer mortality. Because metastasis in sentinel lymph nodes suggests the original spread of tumors from a primary site, the detection of lymph node involvement with cancer serves as an important prognostic and treatment parameter. Here we have developed a panel of DNA aptamers specifically binding to colon cancer cell SW620 derived from metastatic site lymph node, with high affinity after 14 rounds of selection by the cell-SELEX (systematic evolution of ligands by exponential enrichment) method. The binding affinities of selected aptamers were evaluated by flow cytometry. Aptamer XL-33 with the best binding affinity (0.7 nM) and its truncated sequence XL-33-1 with 45 nt showed excellent selectivity for recognizing target cell SW620. The binding entity of the selected aptamer has been preliminarily determined as a membrane protein on the cell surface. Tissue imaging results showed that XL-33-1 was highly specific to the metastatic tumor tissue or lymph node tissue with corresponding cancer metastasis and displayed an 81.7% detection rate against colon cancer tissue with metastasis in regional lymph nodes. These results suggest that XL-33-1 has great potential to become a molecular imaging agent for early detection of lymph node tissue with colon cancer metastasis. More importantly, this study clearly demonstrates that DNA ligands selectively recognizing metastatic cancer cells can be readily generated by metastatic-cell-based SELEX for potential applications in metastatic cancer diagnosis and treatment." @default.
• W2326348533 created "2016-06-24" @default.
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• W2326348533 date "2015-04-23" @default.
• W2326348533 modified "2023-10-15" @default.
• W2326348533 title "Evolution of DNA Aptamers through in Vitro Metastatic-Cell-Based Systematic Evolution of Ligands by Exponential Enrichment for Metastatic Cancer Recognition and Imaging" @default.
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• W2326348533 doi "https://doi.org/10.1021/acs.analchem.5b00637" @default.
• W2326348533 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/25867099" @default.
• W2326348533 hasPublicationYear "2015" @default.
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