Skip to main content
Scientific Reports logoLink to Scientific Reports
. 2022 May 20;12:8555. doi: 10.1038/s41598-022-12118-3

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

Yingwen Hu 1, Danyang Chen 1, John V Napoleon 1, Madduri Srinivasarao 1, Sunil Singhal 2, Cagri A Savran 3, Philip S Low 1,
PMCID: PMC9122947  PMID: 35595733

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.

Subject terms: Cancer, Chemistry

Introduction

Cancer cell metastases accounts for ~ 90% of all cancer deaths1. The presence of circulating tumor cells (CTCs) in the bloodstream constitutes an essential intermediate in many metastatic processes and is consequently associated with poor prognosis25. Detection, quantitation and analysis of CTCs has been shown to provide information on the possible presence of malignant lesions, their driver mutations, their responses to therapy, and their probabilities of recurrence, arguing that development of sensitive methods for the capture and isolation of CTCs could become a useful tool for guiding patient management610. The rarity of CTCs (often < 10 CTCs per mL patient blood), however, requires that an efficient method be developed for harvesting CTCs from whole blood samples11,12.

Initial methods for isolating CTCs from peripheral blood have relied on the binding of CTCs to magnetic beads derivatized with antibodies to epithelial cell-specific markers such as EpCAM or one of the prominent cytokeratins13. While a significant quantity of useful data has emerged from these techniques, their inabilities to retrieve nonepithelial-derived cancer cells and epithelial-derived cancer cells that have undergone epithelial to mesenchymal transition (EMT) have prompted pursuit of more comprehensive strategies for CTC isolation1419. Orthogonal methods that have exploited size20 and/or rigidity21 differences between normal cells and malignant cells have more recently been introduced, and although they have found successful applications, they have also been frequently observed to be compromised by contamination with white cells20,21. When antibody-based methods were subsequently expanded to enable capture of cancer cells with established tumor markers such as EGFR2224, EPHB425, erbB-226,27, CEA23,28, and Muc-12931, an ability to retrieve nearly all cancer cells from a blood sample was finally achieved. However, the associated costs and manufacturing constraints have limited commercialization of these tools32.

In an effort to produce a highly effective, physically stable, easily manufactured, and inexpensive CTC capture bead capable of isolating the vast majority of human CTCs, we undertook to examine whether low molecular weight organic ligands might be substituted for antibodies for collection of CTCs from peripheral blood. Although many tumor-specific organic ligands could have been explored in this initial study33, we elected to test folic acid first, because (1) a receptor for folic acid is expressed on > 40% of all human cancer cells34, (2) the folate receptor (FR) is rarely expressed on normal cells35, (3) folate binds FR with antibody-like (subnanomolar) affinity36, (4) nanoparticles derivatized with folic acid have been repeatedly shown to mediate their binding to cancer cells3741, and (5) many other organic ligands of similar size, tumor specificity, and affinity have been developed that could be combined with folate to create a pan-cancer capture bead if folate-mediated capture were to prove successful4248.

In the paper below we describe: (i) the design of various folic acid-biotin conjugates for use in anchoring folic acid onto streptavidin-coated magnetic beads, (ii) characterization of an optimal spacer for bridging the biotin to folic acid, (iii) use of the resulting folate-linked magnetic bead to capture of FR+ tumor cells spiked into whole blood, and (iv) application of the same technology to isolate FR+ CTCs from the peripheral blood of both tumor-bearing mice and non-small cell lung patients.

Methods

Streptavidin coated magnetic beads were purchased from Bangs Laboratories (catalogue-CM01N). Dynabeads MyOne Streptavidin T1 beads were purchased from Invitrogen (catalogue-65601). Biotin-labeled anti-human EpCAM antibody was obtained from BioLegend (Catalog #324,215). Cell culture medium RPMI-1640, CellTracker CM-DiI Dye and Dynal-MPC-L magnetic particle concentrator were obtained from Life Technologies (Grand Island, NY). Fluorenylmethyloxycarbonyl (fmoc) protected amino acids and reagents were purchased from various sources. Fmoc-N-amido-dPEGn-acid was obtained from Quanta BioDesign, Ltd (Plain City, OH). Fmoc-glu(Otbu)-OH, Fmoc-proline-OH, and Kaiser Test kit were purchased from AnaSpec (Fremont, CA). N10-(trifluoroacetyl)pteroic acid was a generous gift from Endocyte Inc. (West Lafayette, IN). All other chemicals were purchased from Sigma Chemical Co. (St. Louis, MO). KB (an FR + HeLa-derived human cervical cancer line) and MDA-MB-231 cells were purchased from ATCC. Folate-FITC was generous gift from On Target Laboratories Inc. (West Lafayette, IN). Non-small cell lung cancer patient blood samples were provided by Dr. Sunil Singhal, University of Pennsylvania. All animal and human tissue-related experiments were performed in accordance with relevant guidelines and regulations. The studies were carried out in compliance with the ARRIVE guidelines.

Formation of ligand-coated magnetic beads

The detailed synthetic procedures are provided in the “supplementary file”. For preparation of folate-coated magnetic beads, streptavidin coated magnetic beads were gently vortexed for 1 min to promote full disaggregation and then rinsed three times 20 × volume of phosphate-buffered saline (PBS). Beads (50 µg) were then transferred to a 1.5 mL Eppendorf tube and incubated for 1 h at r.t. on a rotator with the desired concentration of folate-biotin conjugate. Unbound folate-biotin was then removed by washing three times with 20 × volume of PBS and beads were stored at 4 °C until use. To prepare the anti-EpCAM-coated streptavidin magnetic beads, streptavidin T1 beads (25 µg) were gently vortexed for 1 min to promote full disaggregation and then rinsed three times 20 × volume of PBS. Beads were then transferred to a 1.5 mL Eppendorf tube and incubated for 1 h at r.t. on a rotator with anti-EpCAM antibody (10 mg/mL). This was then washed with 20 × volume of PBS (3 times) and immediately used for the experiment.

Evaluation of folate-biotin binding to cancer cells in culture

Human KB cells and MDA-MB-231 cells were cultured by sub-confluent passage in folic acid deficient RPMI-1640 medium containing 10% fetal bovine serum (FBS) and 1% penicillin/streptomycin. Cells were incubated with the folate-biotin conjugate for 30 min on ice prior to rinsing three times with 20 × volume of PBS. Folate-biotin derivatized cells were then incubated with FITC-streptavidin for 30 min on ice. 7-AAD was used as live/dead cell marker. Flow cytometry was performed on Accuri C6 (BD) and Accuri C6 software was used for data acquisition and analyses.

Evaluation of cell recovery efficiency in vitro

A known number of KB or MDA-MB-231 cells were spiked into either culture medium or whole human blood collected from healthy donors under a Purdue University IRB approved protocol. A written informed consent was obtained from all the study participants. One milliliter whole blood sample was diluted with PBS (1:1, v/v) before analysis. After incubation with either folate-coated or anti-EpCAM antibody coated beads, the spiked samples were rinsed three times with PBS and the beads were collected using a Dynal-MPC-L magnetic particle concentrator. The captured cells were then transferred to a confocal dish for confocal microscopy (Nikon A1). For purposes of comparison, ~ 85% and 99% of KB sorted EpCAM and folate receptor positive, respectively, by flow cytometry.

Tumor cell inoculation and blood sample collection

Briefly, subconfluent MDA-MB-231 cells were washed with 20 × volume of PBS, detached by a brief exposure to a 0.25% trypsin, washed in serum-containing medium, and then resuspended at a concentration of ~ 107 cell per mL in cold serum free medium. The cells were kept on ice for 5–20 min until transplanted into athymic nu/nu mice. Mice were anesthetized by inhalation of 2% isoflurane. 100 μL of tumor cell suspension (~ 106 cells) was injected subcutaneously or intravenously through the tail vein. The tumor size was monitored starting 2 weeks after tumor implant. Mouse blood samples (~ 200 μL) were collected from facial vein of mouse once a week into an EDTA coated capillary blood collection tube. Folate-Pro6-PEG12-biotin was used for mouse CTC sample analysis. The rest of the protocol was the same as that used in the detection of KB cells spiked into blood. Blood sample was diluted with PBS (1:1, v/v) before analysis. After incubation with folate-coated beads, the mouse blood samples were rinsed three times with 400 μL of PBS and separated from the beads using Dynal-MPC-L magnetic particle concentrator and the captured cells were transferred to a confocal dish for image and analysis.

CTC detection in patient blood samples

Patients with advanced lung cancer were recruited following informed consent for this study under an approved protocol from University of Pennsylvania IRB. A written informed consent was obtained from all the study participants. Blood samples from 6 non-small cell lung cancer patients were collected. A 10-mL blood sample (including anticoagulant) from each patient was collected for examination. Folate-Pro6-PEG12-biotin ligand was used for patients’ sample analysis. The rest of the protocol was the same as that used in the detection of KB cells spiked into blood.

Immunofluorescence analysis

Cells captured from patient samples by folate-coated beads were fixed with 4% paraformaldehyde solution and then permeabilized using 0.3% Triton X-100 in PBS at 4 °C overnight. Before staining, cell samples were pre-incubated with 0.2% gelatin blocking solution at r.t. for 1 h. Alexa Fluor 488 anti-cytokeratin pan reactive antibody (final concentration 10 µg/mL), Alexa Fluor 594 anti-CD45 antibody (final concentration 5 µg/mL), and Alexa Fluor 647 anti-CD44 antibody (final concentration 5 µg/mL) were added in blocking solution for 1 h at r.t. After rinsing the samples with 1 mL PBS for three times, cells were counterstained with 300 nM DAPI solution. Cell samples were transferred to a confocal chip and images were taken by confocal microscope.

Statistical analyses

GraphPad Prism (Graphpad; San Diego, CA) was used for statistical analyses. All figures reported standard deviation values unless otherwise noted. Data were analyzed using one-way ANOVA, followed by post hoc Tukey test.

Ethics approval and consent to participate

All mice were handled in accordance with Purdue University’s Institutional Animal Care and Use Committee (IACUC) policies on animal care and human samples were handled as per approved protocols with Institutional Review Board. All methods were performed in accordance with relevant guidelines and regulations.

Results

Capture ligand and spacer design

To date, most CTC capture technologies have relied on tumor-specific antibodies to facilitate CTC binding to an immobilized substrate, nanoparticle or bead49,50. In these methodologies, the large size and rigidity of the antibody assures that a substantial fraction of the antigen-binding sites project away from the bead/scaffold surface, thereby orienting the antibody’s binding sites for optimal cancer cell capture. In order to facilitate a similar orientation of a low molecular weight ligand away from a scaffold surface, it seemed prudent to design a spacer that would assure projection of the ligand orthogonal to the surface. For this purpose, we compared various spacers of different lengths and rigidities to determine which spacer chemistry might best enable CTC capture. In all cases, the investigated spacers were conjugated at one end to the capture ligand (e.g. folic acid) and at the other end to the vitamin biotin (Fig. 1)51,52. Incubation of the resulting bispecific conjugate with streptavidin-coated magnetic beads then rendered the capture ligand accessible to proximal CTCs. Using this approach, the abilities of various spacers to promote retrieval of a known number of cancer cells from various fluids were quantitated.

Figure 1.

Figure 1

Design of an optimal circulating tumor cell (CTC) capture system.

Identification of spacers with optimal capture efficiency

Because polyethyleneglycol PEG spacers have been frequently employed for ligand presentation53, in our initial effort to optimize a small molecule CTC capture strategy, we compared PEG spacers of different lengths (Fig. 2a). As shown in Fig. 2b, the cancer cell capture efficiencies of the bispecific conjugates comprised of PEGs containing 0, 6, 12, and 36 oxyethylene units were highly variable, with the percent of cancer cells retrieved from cell culture medium increasing with spacer lengths from 0 to 12 oxyethylene units and then decreasing precipitously for PEG36. This virtual absence of CTC capture by the bispecific tether containing 36 oxyethylene units was surprising in view of the anticipation that longer spacers would facilitate docking of folate to the folate receptors buried deep in the glycocalyx on the cancer cell surface. However, the data argue that ligand accessibility is in fact compromised when too long of a spacer is used, raising the question whether the extraordinary flexibility of the longer PEG spacer might have allowed the tethered folate to fold back towards the bead surface in order to find a thermodynamically more favorable location54.

Figure 2.

Figure 2

(a) Chemical structures of folate-biotin conjugates containing different PEG spacer lengths. (b) FR + cell capture efficiency of bispecific folate-biotin conjugate in cell culture media. For analysis of cell capture efficiency, KB cancer cells were spiked into folate-deficient RPMI medium and incubated with folate-conjugated magnetic beads for 1 h. After retrieval of the bead-coated cells with a Dynal-MPC-L magnetic particle concentrator, the captured cells were counted under a microscope.

Upon scrutinizing the literature further, we learned that molecular dynamic calculations performed by others55,56 had predicted that insertion of a rigid linker between a flexible PEG spacer and a capture ligand should reduce the probability of the ligand burying itself in the PEG “forest” adjacent to a bead surface. To test this prediction, we inserted either 3 or 6 prolines between the folate and the PEG12 spacer (Fig. 3a), because oligoprolines are known to form rigid linkers (i.e. proline’s inability to form the two H-bonds necessary to coil into an α-helix causes it to assume a more thermodynamically stable extended rod conformation57,58). As shown in the binding analyses of Fig. 3b, the relative avidities for KB cancer cells of beads derivatized with folate-PEG12-biotin containing either no proline, a Pro3, or a Pro6 linker were found to have half-maximal binding concentrations (EC50 values) of 0.3, 0.04, and 0.01 µg/mL, respectively, with maximal bead binding levels trending similarly from 6 × 105 to 13 × 105 to 14 × 105 relative units, respectively. Not surprisingly, the abilities of the three bead preparations to retrieve KB cells from culture medium also increased with the same ranking (Fig. 3c). To determine how these optimized folate-derivatized beads might compare with standard anti-EpCAM-based beads, we suspended 100 KB cancer cells in 1 mL of cell culture medium and quantitated the efficiency of cancer cell retrieval using both types of beads. As shown in Fig. 3d, the folate-Pro6-PEG12-biotin functionalized beads achieved ~ 80% retrieval of the spiked cells, whereas the anti-EpCAM antibody-coated beads captured ~ 30% KB cells. Because the bispecific conjugate with highest binding avidity, Pro6, also exhibited the maximum capture efficiency, we elected to conduct all further studies using the folate-Pro6-PEG12-biotin conjugate.

Figure 3.

Figure 3

(a) Chemical structure of the folate-oligoproline-PEG-biotin conjugates containing a rigid oligoproline linker. (b) Binding isotherms of the different folate-biotin conjugates for folate receptor positive KB cells in suspension. (c) Comparison of the abilities of the above three folate-biotin conjugates to retrieve KB cancer cells diluted into cell culture medium to a final concentration of 100 cells/mL. (d) Comparison of the abilities of folate-Pro6-PEG12-biotin coated T1 beads with anti-EpCAM coated T1 beads to retrieve KB cancer cells spiked into cell culture medium to a final concentration of 100 cells/mL. Data were analyzed using one-way ANOVA, followed by post hoc Tukey test for the data in panel c and Student’s t test for the data in panel d.

Evaluation of the efficiency of CTC capture following addition of CTCs to whole blood

Although the aforementioned efficiency of KB cell retrieval from cell culture medium approached 100%, the possibility that serum proteins and blood cells might interfere with CTC capture had not yet been examined. For this purpose, KB cells were suspended in fresh whole human blood at a final concentration of 100 cells/mL and again CTC capture was quantitated, only in this case the bispecific conjugate concentration was also varied in order to determine the optimal folate-biotin density on a bead surface for cancer cell retrieval. As shown in Fig. 4a, maximum cancer cell capture from whole blood (~ 90%) was attained when magnetic beads were preloaded with bispecific conjugate at a concentration of ~ 1.0 nmol/mL, at which point the cancer cell surfaces became nearly saturated with magnetic beads (see Fig. 4b). Moreover, any further increase in conjugate concentration led to no further enhancement of CTC capture, suggesting bead loading at 1.0 nmol/mL likely saturated the beads with folate-Pro6-PEG12-biotin conjugate.

Figure 4.

Figure 4

(a) Effect of folate-Pro6-PEG12-biotin concentration on the efficiency of capture of spiked FR + KB cells from fresh whole blood obtained from healthy donors. Dynabeads were incubated for 1 h with different concentrations of folate-Pro6-PEG12-biotin and then washed 3 × in PBS before adding to fresh whole blood spiked with 100 KB cells/mL blood. CTC capture efficiency was then quantitated by counting under microscope (b) Fluorescent and white light microscopy image of whole blood smear after incubation with labeled beads showing bead-coated cancer cell surrounded by healthy blood cells. DiI corresponds to 1,1'-Dioctadecyl-3,3,3',3'-Tetramethylindocarbocyanine. Error bars represent standard deviation (n = 3).

Evaluation of CTC capture from blood in tumor-bearing mice

Encouraged by the successful capture of cancer cells spiked into whole human blood, we next proceeded to determine whether the same folate-targeted beads might be exploited to capture CTCs from tumor-bearing mice. For this purpose, FR+ human breast cancer cells (MDA-MB-231 cells) were implanted subcutaneously in nude mice and allowed to grow to different sizes ranging from < 100 to 1000 mm3. Blood was then collected starting at three weeks post tumor cell implantation and analyzed for FR positive and CD44 negative CTCs. As shown in Fig. 5a, the number of endogenous CTCs captured increased with tumor size, with tumors < 100 mm3 yielding 3.6 CTCs per 200 µl blood (range 0 – 19, S.D. = 5.5), tumor volumes of 100—500 mm3 enabling capture of ~ 9.5 CTCs per 200 µl blood (range from 1 – 29, S.D. = 8.7), and tumors up to 1000 mm3 permitting retrieval of ~ 20.3 CTCs (range from 14 – 33, S.D. = 7.1) per 200 µl blood. This correlation between tumor volume and CTCs captured is consistent with previous reports59 and suggests that the bead and spacer design explored here can be similarly used to assess tumor growth and response to therapy.

Figure 5.

Figure 5

(a) Correlations between tumor volume and CTCs captured by folate-biotin coated beads from ~ 200 μL of mouse blood (n > 6). MDA-MB-231 cells were injected subcutaneously into nude mice to build the solid tumor model. Data were analyzed using one-way ANOVA, followed by post hoc Tukey test (**P < 0.0005–0.0014). (b) CTCs were captured by folate-biotin coated beads. Captured cells were stained with fluorescently labeled folic acid, folate-FITC (EC17), DAPI or anti-CD44 antibody to label cancer cells, nuclei and stem-like cells, respectively.

It is also interesting to note that CD44 positive tumor cells are also captured by this technique. While additional markers would have to be analyzed to more accurately characterize these cells, it is interesting to speculate that the CD44 positive cells might be undergoing epithelial to mesenchymal transition (EMT)60 (Fig. 5b). This occurs despite the fact that most epithelial markers disappear during EMT61, and thereby render EpCAM- and cytokeratin-dependent capture techniques ineffective19. This added capability to collect stem-like cancer cells should facilitate analyses of cancer cells that no longer express epithelial markers.

Evaluation of CTC capture from blood in lung cancer patients

Finally, to obtain an initial indication of an ability to translate this technology into the clinic, we analyzed blood samples from 6 patients with metastatic lung cancer for FR + CTCs. Cells were identified as CTCs if they stained positive for DAPI (a nuclear stain to prevent counting of erythrocytes and platelets), did not express CD45 (to avoid counting leucocytes), and expressed the epithelial marker, cytokeratin (CK; a marker for epithelial derived CTCs). As shown in Fig. 6a, CTCs could be identified in all six patients samples, with counts ranging from 8 – 84 CTCs per 8 mL sample (mean = 28.8). That these captured cells were indeed CTCs could be confirmed by their examination under the microscope (see representative images in Fig. 6b), where the cells were confirmed to stain positive for cytokeratin and negative for CD45. The fact that a small number of cells (range 0 – 7, mean = 2.7) also stained positive for CD44 confirmed that the beads designed here are indeed capable of capturing CTCs that might be undergoing EMT and display more stem-like properties (Fig. 6c). Perhaps most importantly, the small molecule-derivatized beads created here were also capable of capturing a small number of CTC clusters (range 0 – 14 cells in size, mean = 4.3), which is important since the presence of circulating cell clusters has been associated with poor prognosis and survival62,63. Because our bead capture strategy does not employ a size cutoff for CTC selection, single cells, small cell clusters and larger cell clusters could all be easily isolated.

Figure 6.

Figure 6

CTC captured and analyzed from lung cancer patient samples. An 8 mL blood sample (including anticoagulant) from each patient was collected for examination. Folate-Pro6-PEG12-biotin ligand-coated beads was used for patient sample analysis. Cell captured ligand-coated beads were stained and analyzed by immunofluorescence. Immunofluorescence staining of cell surface receptors of a captured a) CTC cluster, b) single CTC and c) stem cell like CTC from a lung cancer patient. The images shown staining included Cytokeratin (CK, green), CD45 (red), CD44 (purple), and DAPI (blue). The scale bar is 20 μm.

Discussion

Although the rigid conformation of an antibody generally ensures that at least one of the antibody’s two antigen binding sites will face away from the bead/substrate surface and become available for CTC binding, we have found that flexible PEG spacers do not provide the same benefit. Instead, the flexibility of the PEG spacer enabled the PEG-tethered ligand to fold back toward the bead surface and submerge itself in the surrounding PEG “forest”, thereby render the ligand inaccessible for CTC capture. To reduce this tendency, we were forced to insert a rigid linker (oligoproline) between the PEG tether and the organic ligand. According to molecular dynamics simulations55,56, the rigidity of this spacer prevents the organic ligand from avoiding interaction with the aqueous solvent by burying itself in the dense PEG matrix. It is not inconceivable that this simple spacer modification could prove useful in the design of many types of ligand-derivatized nanoparticles.

We have documented here the efficient use of a low molecular weight organic ligand for the selective capture of CTCs. Although antibodies, aptamers, and protein/peptide scaffolds have also proven successful in isolating CTCs50, we propose that organic ligands have a few advantages that may prove beneficial. Thus, organic ligands are generally more stable, easier to conjugate to a scaffold or bead surface, more capable of penetrating a dense glycocalyx enshrouding almost all tumor cells, and much cheaper to manufacture.

Conclusions

Although a preliminary proof of concept for CTC capture was established using folate-derivatized magnetic beads, i.e. a capture ligand whose receptor is expressed on ~ 40% of human cancers but absent or present in very limited numbers on all normal cells except the kidneys35, other organic ligands have already been developed for most all other cancers33,6468, and several of these have been shown to readily capture CTCs with an efficiency similar to folate’s (data not shown). Thus, the pathway to creation of a universal magnetic bead with the capability of capturing CTCs from all cancer types would seem to be feasible, i.e. simply derivatize the optimal magnetic bead with a cocktail of bispecific conjugates that can recognize folate receptor negative cancers. Importantly, low molecular weight tumor-specific ligands required for such a broad specificity beads have already been developed for targeting fluorescent dyes and other imaging agents to human cancers6974, including nonepithelial cancers which are not readily detected by many current technologies. Indeed, the ease with which such a broad specificity capture beads could be designed and developed may constitute a major advantage to the low molecular weight ligand strategy described here.

Supplementary Information

Acknowledgements

The authors gratefully acknowledge the campus-wide mass spectroscopy facility and support from Bindley Bioscience Imaging Facility (BIF) confocal spectroscopy facility.

Author contributions

Y.H., D.C., J.N. performed the experiments and interpreted the data. M.S. S.S. and C. S. helped write the manuscript and data interpretation. P.L. conceived the concept, designed experiments, interpreted the results, written the manuscript, and supervised the research.

Funding

This study was supported by a gift from Three Lakes Partners, LLC and the Purdue University Center for Cancer Research (P30CA023168).

Data availability

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Competing interests

The authors declare no competing interests.

Footnotes

Publisher's note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

The online version contains supplementary material available at 10.1038/s41598-022-12118-3.

References

  • 1.Chaffer CL, Weinberg RA. A perspective on cancer cell metastasis. Science. 2011;331:1559–1564. doi: 10.1126/science.1203543. [DOI] [PubMed] [Google Scholar]
  • 2.Moussavi-Harami SF, Wisinski KB, Beebe DJ. Circulating tumor cells in metastatic breast cancer: A prognostic and predictive marker. J. Patient-Centered Res. Rev. 2014;1:85–92. doi: 10.17294/2330-0698.1017. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Sastre J, et al. Circulating tumor cells in colorectal cancer: Correlation with clinical and pathological variables. Ann. Oncol. 2008;19:935–938. doi: 10.1093/annonc/mdm583. [DOI] [PubMed] [Google Scholar]
  • 4.De Bono JS, et al. Circulating tumor cells predict survival benefit from treatment in metastatic castration-resistant prostate cancer. Clin. Cancer Res. 2008;14:6302–6309. doi: 10.1158/1078-0432.CCR-08-0872. [DOI] [PubMed] [Google Scholar]
  • 5.Cohen SJ, et al. Relationship of circulating tumor cells to tumor response, progression-free survival, and overall survival in patients with metastatic colorectal cancer. J. Clin. Oncol. 2008;26:3213–3221. doi: 10.1200/JCO.2007.15.8923. [DOI] [PubMed] [Google Scholar]
  • 6.Krebs MG, et al. Molecular analysis of circulating tumour cells-biology and biomarkers. Nat. Rev. Clin. Oncol. 2014;11:129–144. doi: 10.1038/nrclinonc.2013.253. [DOI] [PubMed] [Google Scholar]
  • 7.De Luca F, et al. Mutational analysis of single circulating tumor cells by next generation sequencing in metastatic breast cancer. Oncotarget. 2016;7:26107–26119. doi: 10.18632/oncotarget.8431. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Forte VA, et al. The potential for liquid biopsies in the precision medical treatment of breast cancer. Cancer Biol. Med. 2016;13:19–40. doi: 10.28092/j.issn.2095-3941.2016.0007. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Guibert N, et al. Monitoring KRAS mutations in circulating DNA and tumor cells using digital droplet PCR during treatment of KRAS-mutated lung adenocarcinoma. Lung Cancer. 2016;100:1–4. doi: 10.1016/j.lungcan.2016.07.021. [DOI] [PubMed] [Google Scholar]
  • 10.Alix-Panabières C, Pantel K. Clinical applications of circulating tumor cells and circulating tumor DNA as liquid biopsy. Cancer Discov. 2016;6:479–491. doi: 10.1158/2159-8290.cd-15-1483. [DOI] [PubMed] [Google Scholar]
  • 11.Pantel K, Speicher MR. The biology of circulating tumor cells. Oncogene. 2016;35:1216–1224. doi: 10.1038/onc.2015.192. [DOI] [PubMed] [Google Scholar]
  • 12.Coumans FA, Ligthart ST, Uhr JW, Terstappen LW. Challenges in the enumeration and phenotyping of CTC. Clin. Cancer Res. 2012;18:5711–5718. doi: 10.1158/1078-0432.CCR-12-1585. [DOI] [PubMed] [Google Scholar]
  • 13.Pantel K, Brakenhoff RH, Brandt B. Detection, clinical relevance and specific biological properties of disseminating tumour cells. Nat. Rev. Cancer. 2008;8:329. doi: 10.1038/nrc2375. [DOI] [PubMed] [Google Scholar]
  • 14.Gorges TM, et al. Circulating tumour cells escape from EpCAM-based detection due to epithelial-to-mesenchymal transition. BMC Cancer. 2012;12:178–178. doi: 10.1186/1471-2407-12-178. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Cristofanilli M, Braun S. Circulating tumor cells revisited. JAMA. 2010;303:1092–1093. doi: 10.1001/jama.2010.292. [DOI] [PubMed] [Google Scholar]
  • 16.Thurm H, et al. Rare expression of epithelial cell adhesion molecule on residual micrometastatic breast cancer cells after adjuvant chemotherapy. Clin. Cancer Res. 2003;9:2598–2604. [PubMed] [Google Scholar]
  • 17.Lampignano, R., Schneck, H., Neumann, M., Fehm, T. & Neubauer, H. in Isolation and Molecular Characterization of Circulating Tumor Cells (eds Mark Jesus M. Magbanua & John W. Park) 181–203 (Springer, 2017). [DOI] [PubMed]
  • 18.Swennenhuis JF, van Dalum G, Zeune LL, Terstappen LWMM. Improving the cell search® system. Expert Rev. Mol. Diagn. 2016;16:1291–1305. doi: 10.1080/14737159.2016.1255144. [DOI] [PubMed] [Google Scholar]
  • 19.Gabriel MT, Calleja LR, Chalopin A, Ory B, Heymann D. Circulating tumor cells: A review of non–EpCAM-based approaches for cell enrichment and isolation. Clin. Chem. 2016;62:571–581. doi: 10.1373/clinchem.2015.249706. [DOI] [PubMed] [Google Scholar]
  • 20.Hao SJ, Wan Y, Xia YQ, Zou X, Zheng SY. Size-based separation methods of circulating tumor cells. Adv Drug Deliv Rev. 2018;125:3–20. doi: 10.1016/j.addr.2018.01.002. [DOI] [PubMed] [Google Scholar]
  • 21.Bankó P, et al. Technologies for circulating tumor cell separation from whole blood. J. Hematol. Oncol. 2019;12:48. doi: 10.1186/s13045-019-0735-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Lankiewicz S, et al. Tumour-associated transcripts and EGFR deletion variants in colorectal cancer in primary tumour, metastases and circulating tumour cells. Cell. Oncol. 2008;30:463–471. doi: 10.3233/clo-2008-0432. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Zieglschmid V, et al. Tumor-associated gene expression in disseminated tumor cells correlates with disease progression and tumor stage in colorectal cancer. Anticancer Res. 2007;27:1823–1832. [PubMed] [Google Scholar]
  • 24.Payne RE, et al. Measurements of EGFR expression on circulating tumor cells are reproducible over time in metastatic breast cancer patients. Pharmacogenomics. 2008;10:51–57. doi: 10.2217/14622416.10.1.51. [DOI] [PubMed] [Google Scholar]
  • 25.Winter SC, et al. Long term survival following the detection of circulating tumour cells in head and neck squamous cell carcinoma. BMC Cancer. 2009;9:424–424. doi: 10.1186/1471-2407-9-424. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Pestrin M, et al. Correlation of HER2 status between primary tumors and corresponding circulating tumor cells in advanced breast cancer patients. Breast Cancer Res. Treat. 2009;118:523. doi: 10.1007/s10549-009-0461-7. [DOI] [PubMed] [Google Scholar]
  • 27.Ignatiadis M, et al. HER2-positive circulating tumor cells in breast cancer. PLoS ONE. 2011;6:e15624. doi: 10.1371/journal.pone.0015624. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Stathopoulou A, et al. Molecular detection of cancer cells in the peripheral blood of patients with breast cancer: Comparison of CK-19, CEA and maspin as detection markers. Anticancer Res. 2003;23:1883–1890. [PubMed] [Google Scholar]
  • 29.Kemmner W. Currently used markers for CTC isolation-advantages, limitations and impact on cancer prognosis. J. Clin. Exp. Pathol. 2011;40:1125. [Google Scholar]
  • 30.Aktas B, Kasimir-Bauer S, Heubner M, Kimmig R, Wimberger P. Molecular profiling and prognostic relevance of circulating tumor cells in the blood of ovarian cancer patients at primary diagnosis and after platinum-based chemotherapy. Int. J. Gynecol. Cancer. 2011;21:822–830. doi: 10.1097/IGC.0b013e318216cb91. [DOI] [PubMed] [Google Scholar]
  • 31.Cheng J-P, et al. MUC1-positive circulating tumor cells and MUC1 protein predict chemotherapeutic efficacy in the treatment of metastatic breast cancer. Chin. J. Cancer. 2011;30:54–61. doi: 10.5732/cjc.010.10239. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Makurvet FD. Biologics vs. small molecules: Drug costs and patient access. Med. Drug Discov. 2021;9:100075. doi: 10.1016/j.medidd.2020.100075. [DOI] [Google Scholar]
  • 33.Srinivasarao M, Low PS. Ligand-targeted drug delivery. Chem. Rev. 2017;117:12133–12164. doi: 10.1021/acs.chemrev.7b00013. [DOI] [PubMed] [Google Scholar]
  • 34.Low PS, Henne WA, Doorneweerd DD. Discovery and development of folic-acid-based receptor targeting for imaging and therapy of cancer and inflammatory diseases. Acc. Chem. Res. 2008;41:120–129. doi: 10.1021/ar7000815. [DOI] [PubMed] [Google Scholar]
  • 35.Parker N, et al. Folate receptor expression in carcinomas and normal tissues determined by a quantitative radioligand binding assay. Anal. Biochem. 2005;338:284–293. doi: 10.1016/j.ab.2004.12.026. [DOI] [PubMed] [Google Scholar]
  • 36.Leamon CP, et al. Folate-vinca alkaloid conjugates for cancer therapy: A structure-activity relationship. Bioconjug. Chem. 2014;25:560–568. doi: 10.1021/bc400441s. [DOI] [PubMed] [Google Scholar]
  • 37.Reddy JA, Low PS. Folate-mediated targeting of therapeutic and imaging agents to cancers. Crit. Rev. Ther. Drug Carrier Syst. 1998;15:223. doi: 10.1615/CritRevTherDrugCarrierSyst.v15.i6.20. [DOI] [PubMed] [Google Scholar]
  • 38.Hilgenbrink AR, Low PS. Folate receptor-mediated drug targeting: From therapeutics to diagnostics. J. Pharm. Sci. 2005;94:2135–2146. doi: 10.1002/jps.20457. [DOI] [PubMed] [Google Scholar]
  • 39.Stella B, et al. Design of folic acid-conjugated nanoparticles for drug targeting. J. Pharm. Sci. 2000;89:1452–1464. doi: 10.1002/1520-6017(200011)89:11&#x0003c;1452::AID-JPS8&#x0003e;3.0.CO;2-P. [DOI] [PubMed] [Google Scholar]
  • 40.He W, Wang H, Hartmann LC, Cheng J-X, Low PS. In vivo quantitation of rare circulating tumor cells by multiphoton intravital flow cytometry. Proc. Natl. Acad. Sci. 2007;104:11760–11765. doi: 10.1073/pnas.0703875104. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Nie L, et al. Folic acid targeting for efficient isolation and detection of ovarian cancer CTCs from human whole blood based on two-step binding strategy. ACS Appl. Mater. Interfaces. 2018;10:14055–14062. doi: 10.1021/acsami.8b02583. [DOI] [PubMed] [Google Scholar]
  • 42.Chen X, et al. Folate receptor-positive circulating tumor cell detected by LT-PCR-based method as a diagnostic biomarker for non-small-cell lung cancer. J. Thorac. Oncol. 2015;10:1163–1171. doi: 10.1097/jto.0000000000000606. [DOI] [PubMed] [Google Scholar]
  • 43.O’Shannessy DJ, Davis DW, Anderes K, Somers EB. Isolation of circulating tumor cells from multiple epithelial cancers with ApoStream(®) for detecting (or Monitoring) the expression of folate receptor alpha. Biomarker Insights. 2016;11:7–18. doi: 10.4137/bmi.s35075. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Lian H, Ding Z, Yuan D, Ma J, Qin J. Diagnostic value of folate receptor-positive circulating tumor cell in lung cancer: A pilot study. Chin. J. Lung Cancer. 2016;19:813–820. doi: 10.3779/j.issn.1009-3419.2016.12.03. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Marino FZ, Ronchi A, Accardo M, Franco R. Detection of folate receptor–positive circulating tumor cells by ligand-targeted polymerase chain reaction in non-small cell lung cancer patients. J. Thorac. Dis. 2016;8:1437. doi: 10.21037/jtd.2016.05.38. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Yu Y, et al. Folate receptor-positive circulating tumor cells as a novel diagnostic biomarker in non-small cell lung cancer. Transl. Oncol. 2013;6:697–702. doi: 10.1593/tlo.13535. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Chen X, et al. Folate receptor-positive circulating tumor cell detected by LT-PCR–based method as a diagnostic biomarker for non–small-cell lung cancer. J. Thorac. Oncol. 2015;10:1163–1171. doi: 10.1097/JTO.0000000000000606. [DOI] [PubMed] [Google Scholar]
  • 48.Lou J, et al. Quantification of rare circulating tumor cells in non-small cell lung cancer by ligand-targeted PCR. PLoS ONE. 2013;8:e80458. doi: 10.1371/journal.pone.0080458. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Bhana S, Wang Y, Huang X. Nanotechnology for enrichment and detection of circulating tumor cells. Nanomedicine. 2015;10:1973–1990. doi: 10.2217/nnm.15.32. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Shen Z, Wu A, Chen X. Current detection technologies for circulating tumor cells. Chem. Soc. Rev. 2017;46:2038–2056. doi: 10.1039/C6CS00803H. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Li F, et al. Nondestructive capture, release, and detection of circulating tumor cells with cystamine-mediated folic acid decorated magnetic nanospheres. J Mater Chem B. 2020;8:9971–9979. doi: 10.1039/d0tb01091j. [DOI] [PubMed] [Google Scholar]
  • 52.Nie L, et al. Folic acid targeting for efficient isolation and detection of ovarian cancer CTCs from human whole blood based on two-step binding strategy. ACS Appl. Mater. Interfaces. 2018;10:14055–14062. doi: 10.1021/acsami.8b02583. [DOI] [PubMed] [Google Scholar]
  • 53.Veronese FM, Pasut G. PEGylation, successful approach to drug delivery. Drug Discov. Today. 2005;10:1451–1458. doi: 10.1016/S1359-6446(05)03575-0. [DOI] [PubMed] [Google Scholar]
  • 54.Vlashi E, Kelderhouse LE, Sturgis JE, Low PS. Effect of folate-targeted nanoparticle size on their rates of penetration into solid tumors. ACS Nano. 2013;7:8573–8582. doi: 10.1021/nn402644g. [DOI] [PubMed] [Google Scholar]
  • 55.Lee H. Molecular simulations of PEGylated biomolecules, liposomes, and nanoparticles for drug delivery applications. Pharmaceutics. 2020;12:533. doi: 10.3390/pharmaceutics12060533. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Lee RJ, Low PS. Delivery of liposomes into cultured KB cells via folate receptor-mediated endocytosis. J. Biol. Chem. 1994;269:3198–3204. doi: 10.1016/S0021-9258(17)41848-5. [DOI] [PubMed] [Google Scholar]
  • 57.Li SC, Goto NK, Williams KA, Deber CM. Alpha-helical, but not beta-sheet, propensity of proline is determined by peptide environment. Proc. Natl. Acad. Sci. U.S.A. 1996;93:6676–6681. doi: 10.1073/pnas.93.13.6676. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Nilsson I, et al. Proline-induced disruption of a transmembrane α-helix in its natural environment. J. Mol. Biol. 1998;284:1165–1175. doi: 10.1006/jmbi.1998.2217. [DOI] [PubMed] [Google Scholar]
  • 59.Katoh M, Neumaier M, Nezam R, Izbicki JR, Schumacher U. Correlation of circulating tumor cells with tumor size and metastatic load in a spontaneous lung metastasis model. Anticancer Res. 2004;24:1421–1426. [PubMed] [Google Scholar]
  • 60.Yin T, et al. Human cancer cells with stem cell-like phenotype exhibit enhanced sensitivity to the cytotoxicity of IL-2 and IL-15 activated natural killer cells. Cell. Immunol. 2016;300:41–45. doi: 10.1016/j.cellimm.2015.11.009. [DOI] [PubMed] [Google Scholar]
  • 61.Kalluri R, Weinberg RA. The basics of epithelial-mesenchymal transition. J. Clin. Investig. 2009;119:1420–1428. doi: 10.1172/JCI39104. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Chang M-C, et al. Clinical significance of circulating tumor microemboli as a prognostic marker in patients with pancreatic ductal adenocarcinoma. Clin. Chem. 2016;62:505–513. doi: 10.1373/clinchem.2015.248260. [DOI] [PubMed] [Google Scholar]
  • 63.Zhang D, et al. Circulating tumor microemboli (CTM) and vimentin+ circulating tumor cells (CTCs) detected by a size-based platform predict worse prognosis in advanced colorectal cancer patients during chemotherapy. Cancer Cell Int. 2017;17:6. doi: 10.1186/s12935-016-0373-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Marks IS, et al. Development of a small molecule tubulysin B conjugate for treatment of carbonic anhydrase IX receptor expressing cancers. Mol Pharm. 2018;15:2289–2296. doi: 10.1021/acs.molpharmaceut.8b00139. [DOI] [PubMed] [Google Scholar]
  • 65.Roy J, Kaake M, Srinivasarao M, Low PS. Targeted tubulysin B hydrazide conjugate for the treatment of luteinizing hormone-releasing hormone receptor-positive cancers. Bioconjug. Chem. 2018;29:2208–2214. doi: 10.1021/acs.bioconjchem.8b00164. [DOI] [PubMed] [Google Scholar]
  • 66.Kanduluru AK, Srinivasarao M, Wayua C, Low PS. Evaluation of a neurokinin-1 receptor-targeted technetium-99m conjugate for neuroendocrine cancer imaging. Mol. Imag. Biol. 2020;22:377–383. doi: 10.1007/s11307-019-01391-w. [DOI] [PubMed] [Google Scholar]
  • 67.Kularatne SA, Wang K, Santhapuram HK, Low PS. Prostate-specific membrane antigen targeted imaging and therapy of prostate cancer using a PSMA inhibitor as a homing ligand. Mol. Pharm. 2009;6:780–789. doi: 10.1021/mp900069d. [DOI] [PubMed] [Google Scholar]
  • 68.Wayua C, Low PS. Evaluation of a nonpeptidic ligand for imaging of cholecystokinin 2 receptor-expressing cancers. J. Nucl. Med. 2015;56:113–119. doi: 10.2967/jnumed.114.144998. [DOI] [PubMed] [Google Scholar]
  • 69.Mahalingam SM, Chu H, Liu X, Leamon CP, Low PS. Carbonic anhydrase IX-targeted near-infrared dye for fluorescence imaging of hypoxic tumors. Bioconjug Chem. 2018;29:3320–3331. doi: 10.1021/acs.bioconjchem.8b00509. [DOI] [PubMed] [Google Scholar]
  • 70.Sneddon D, et al. Synthesis and in vivo biological evaluation of (68)Ga-labeled carbonic anhydrase IX targeting small molecules for positron emission tomography. J. Med. Chem. 2016;59:6431–6443. doi: 10.1021/acs.jmedchem.6b00623. [DOI] [PubMed] [Google Scholar]
  • 71.Olberg DE, et al. Synthesis and in vitro evaluation of small-molecule [18F] labeled gonadotropin-releasing hormone (GnRH) receptor antagonists as potential PET imaging agents for GnRH receptor expression. Bioorg. Med. Chem. Lett. 2014;24:1846–1850. doi: 10.1016/j.bmcl.2014.02.002. [DOI] [PubMed] [Google Scholar]
  • 72.Zhang H, et al. Synthesis and evaluation of a novel (64)Cu- and (67)Ga-labeled neurokinin 1 receptor antagonist for in vivo targeting of NK1R-positive tumor xenografts. Bioconjug Chem. 2018;29:1319–1326. doi: 10.1021/acs.bioconjchem.8b00063. [DOI] [PubMed] [Google Scholar]
  • 73.Brom M, et al. Preclinical evaluation of 68Ga-DOTA-minigastrin for the detection of cholecystokinin-2/gastrin receptor-positive tumors. Mol. Imaging. 2011;10:144–152. doi: 10.2310/7290.2010.00032. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 74.Vaughn BA, et al. Chelation with a twist: A bifunctional chelator to enable room temperature radiolabeling and targeted PET imaging with scandium-44. Chem. Sci. 2020;11:333–342. doi: 10.1039/c9sc04655k. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Data Availability Statement

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.


Articles from Scientific Reports are provided here courtesy of Nature Publishing Group

RESOURCES