Background: Detection of circulating lung cancer cells with cancer-stem like characteristics would represent an improved tool for disease prognosis. However, current antibodies based methods have some disadvantages and therefore cell SELEX (Systematic Evolution of Ligands by Exponential Enrichment) was used to develop DNA aptamers, recognizing cell surface markers of non-small lung carcinoma (NSLC) cells.
Materials and methods: The human adenocarcinoma cell line A549 was used for selection in seven cell SELEX cycles. We used human blood leukocytes for negative selection, and lung stem cell protein marker CD90 antibody binding A549 cells for positive selection.
Results: The obtained oligonucleotide sequences after the seventh SELEX cycle were subjected to in silico selection analysis based on three independent types of bioinformatics approaches, selecting two closely related aptamer candidates in terms of consensus sequences, structural motifs, binding affinity (Kd) and stability (ΔG). We selected and identified the aptamer A155_18 with very good binding characteristics to A459 cells, selected for CD90 antibody binding. The calculated phylogenetic tree showed that aptamers A155_18 and the known A549 cell aptamer S6 have a close structural relationship. MEME sequence analysis showed that they share two unique motifs, not present in other sequences.
Conclusions: The novel aptamer A155_18 has strong binding affinity for A549 lung carcinoma cell line subpopulation that is expressing stem cell marker CD90, indicating a possible stemness, characteristic for the A459 line, or a subpopulation present within this cell line. This aptamer can be applied as diagnostic tool, identifying NSLC circulating cells.
Keywords: aptamers; cell-SELEX; circulating tumour cells; computational biology; non-small lung cancer.