Litcius/Paper detail

Efficient capture of circulating tumor cells with low molecular weight folate receptor-specific ligands

Yingwen Hu, Danyang Chen, John V. Napoleon, Madduri Srinivasarao, Sunil Singhal, Cagri A. Savran, Philip S. Low

2022Scientific Reports16 citationsDOIOpen Access PDF

Abstract

Retrieval of circulating tumor cells (CTC) has proven valuable for assessing a patient's cancer burden, evaluating response to therapy, and analyzing which drug might treat a cancer best. Although most isolation methods retrieve CTCs based on size, shape, or capture by tumor-specific antibodies, we explore here the use of small molecule tumor-specific ligands linked to magnetic beads for CTC capture. We have designed folic acid-biotin conjugates with different linkers for the capture of folate receptor (FR) + tumor cells spiked into whole blood, and application of the same technology to isolate FR + CTCs from the peripheral blood of both tumor-bearing mice and non-small cell lung patients. We demonstrate that folic acid linked via a rigid linker to a flexible PEG spacer that is in turn tethered to a magnetic bead enables optimal CTC retrieval, reaching nearly 100% capture when 100 cancer cells are spiked into 1 mL of aqueous buffer and ~ 90% capture when the same quantity of cells is diluted into whole blood. In a live animal model, the same methodology is shown to efficiently retrieve CTCs from tumor-bearing mice, yielding cancer cell counts that are proportional to total tumor burden. More importantly, the same method is shown to collect ~ 29 CTCs/8 mL peripheral blood from patients with non-small cell lung cancer. Since the ligand-presentation strategy optimized here should also prove useful in targeting other nanoparticles to other cells, the methods described below should have general applicability in the design of nanoparticles for cell-specific targeting.

Topics & Concepts

Circulating tumor cellFolate receptorCancerCancer researchCancer cellLinkerFolic acidCellPrimary tumorChemistryMedicineBiochemistryInternal medicineMetastasisComputer scienceOperating systemCancer Cells and MetastasisCancer Genomics and DiagnosticsPancreatic function and diabetes