Dopamine-functionalized hyaluronic acid microspheres for effective capture of CD44-overexpressing circulating tumor cells

https://doi.org/10.1016/j.colsurfb.2020.111281Get rights and content

Highlights

  • Dopamine-functionalized hyaluronic acid microspheres were prepared based on microfluidics.

  • HA-DA microspheres were used to capture CD44-overexpressing CTCs.

  • A microfluidic filter was designed for the isolation of “microspheres-CTCs” from blood.

Abstract

As one of the biomarkers of liquid biopsy, circulating tumor cells (CTCs) provides important clinical information for cancer diagnosis. However, accurate separation and identification of CTCs remains a great deal of challenge. In present work, we developed novel dopamine-functionalized hyaluronic acid microspheres (HA-DA microspheres) to capture CD44-overexpressing CTCs. The dopamine was grafted onto the hyaluronic acid chain, which was polymerized and cross-linked by oxidation of the catechol groups. Afterwards, a facile microfluidic chip was designed and developed to fabricate the HA-DA microspheres with a diameter of about 45 μm. Our results showed that the CD44+ cells (i.e., HeLa, HepG2, A549, MCF-7 and DU-145 cells) could be selectively captured. Then a double-layer microfluidic filter (DLMF) was fabricated for dynamic isolation and detection of CTCs in blood samples. Many slit openings with 15 μm in height were designed to allow white blood cells to clear away, while the microspheres with CTCs were intercepted in the DLMF, which achieved effective separation of CTCs from blood cells. The approach exhibited high capture efficiency even at the cell density as low as 10 cells/mL. We believe the DLMF integrated with HA-DA microspheres could be a promising approach for isolation and detection of CD44-overexpressing CTCs, which is useful for prognosis and early metastasis of cancer patients.

Introduction

Cancer has become a major disease threatening human life and metastasis is the leading cause responsible for cancer-related deaths [1]. Circulating tumor cells (CTCs) are essential for establishing metastasis [2], which have been shown to have significant predictive and prognostic information in cancer diagnosis and precision medicine [3,4]. Unfortunately, CTCs detection is faced with a grand challenge due to the extremely low density of CTCs in the patient's blood [5,6]. Generally, CTCs could be separated from blood depending on the different physical and biological properties [4,7], such as the differences in size, deformability, hydrodynamics [8,9] and the expression of surface protein markers [10,11].

Microfluidics have attracted considerable attention in the past few years due to the advantages of small sample volume consumption, low cost, high detection sensitivity, high throughput and automatic operation [12]. To date, various microfluidic approaches have been developed for isolation of CTCs, such as physical properties-based isolation by microchannels [[13], [14], [15]], antibody recognition by microarray platform [16,17] and immunomagnetic enrichment by microfluidic chips with applied magnetic field [18]. While many microfluidic devices have been reported for separation of CTCs by differences in the physical size and deforming force [15], there are still chances that false negative or positive results would be generated as it is possible that cancer cells are deformed and squeezed out of the physical traps or the white blood cells with diverse sizes would be remained in the microfluidic device. The combination of microparticles and microfluidics [19] provide a strategy to amplify the size difference for better separation. Epithelial cell adhesion molecules (EpCAM) are often used as surface biomarkers for CTCs capture, but epithelial-mesenchymal transformation (EMT) occurs during cancer metastasis [20]. Based on this, a series of highly specific recognition method have been developed. For example, the combination of the dual antibodies (i.e., anti-EpCAM and anti-N-Cadherin or anti-CD146) was used to capture epithelial and mesenchymal CTCs [21,22]. Unfortunately, the method based on antibodies recognition is challenging because of the high cost and strict storage conditions. Therefore, a cheaper and more stable non-antibody-based recognition strategy would be in demand [23].

CD44, the main site of HA binding on cell surface, is highly expressed in many tumor cells [24], which is closely related to the cancer occurrence and metastasis. The process of HA targeting CD44 is that around 100 amino acids on CD44 protein can recognize repeated disaccharide structural units on HA to form the “link module” [25]. CD44 has become a valuable biomarker for early cancer detection and for discriminating between tumor and normal cells [26]. In particular, many studies have demonstrated the value of HA in cancer drug therapy [[27], [28], [29]].

Herein, a novel approach for preparing HA microspheres has been developed for the first time to capture CD44-overexpressing CTCs. In the traditional methods, the HA microspheres prepared by microemulsion technique with divinyl sulfone (DVS) as crosslinker had low monodispersity [30], while the existing methods of preparing HA microspheres with high monodispersity by microfluidics required the synthesis of a series of complex UV crosslinked substrates [31]. In this study, dopamine-functionalized hyaluronic acid microspheres (HA-DA microspheres) were prepared by grafting DA onto the HA chain, which was polymerized and cross-linked by oxidation of the catechol groups. Then, a facile microfluidic chip was designed and developed to fabricate the HA-DA microspheres with higher monodispersity. In theory, the specific surface area of the microspheres is larger, which can expose more CD44 binding sites. The diameter of HA-DA microspheres was about 45 μm, effectively amplifying the cell size and much larger than that of white blood cells (i.e., 15−20 μm for monocytes, 10−15 μm for granulocytes and 6−15 μm for lymphocytes) [32]. Further, a double-layer microfluidic filter (DLMF) was fabricated for dynamic cell isolation. Many slit openings (15 μm in height) were designed to allow white blood cells to clear away, while the HA-DA microspheres with cancer cells were intercepted in the DLMF, which achieved effective separation of tumor cells from blood cells. On this basis, we believe this research can provide important implications for CTCs capture, tumor diagnosis and treatment in the future.

Section snippets

Materials

Hyaluronic acid was obtained from Macklin Biochemical Co., Ltd. (97 %, Shanghai, China). N-hydroxysuccinimide (NHS), 1-(3-Dimethylaminopropyl)-3-ethylcarbodiimide hydrochloride (EDC), dopamine hydrochloride and undecanol were supplied by Aladdin Reagent Co., Ltd. (Shanghai, China). SU-8 2075 was obtained from MicroChem Corp (USA). Polydimethylsiloxane (PDMS) (Sylgard 184) was supplied by Dow Corning (Midland, MI). All other chemicals were acquired from Sinopharm Chemical Reagent Co., Ltd.

Characterization of HA-DA conjugates

To fulfill specific targeting CD44+ cells with ease gelation and adhesive properties, dopamine hydrochloride was firstly conjugated to hyaluronic acid by EDC-NHS chemical reaction (Fig. 1a) [34]. To confirm the successful grafting of HA and dopamine, the collected HA-DA conjugates were analyzed by 1H NMR spectra (Fig. S1a) and FTIR spectra (Fig. S1b). In the 1H NMR spectra, the specific peaks of HA-DA at around 7 ppm and 3 ppm belong to the protons in the aromatic protons and four protons of single bondCH2

Conclusions and discussions

In summary, a novel approach for preparing HA microspheres with better monodispersity and stability was proposed to capture and isolate CD44-overexpressing CTCs. Static cell capture results showed that HA-DA microspheres could specifically target and capture CD44+ cells, and the capture efficiency of HA-DA2.0 microspheres for CD44 highly expressed HeLa and HepG2 cells were 85.94 ± 1.98 % and 88.73 ± 3.66 %, respectively, while the capture efficiency for CD44 negatively expressed NIH-3T3 cells

CRediT authorship contribution statement

Xiuping Li: Conceptualization, Methodology, Data curation, Investigation, Writing - original draft. Tianyu Cui: Methodology, Data curation, Validation. Wenxian Zhang: Software, Formal analysis, Investigation. Ziran Zhai: Software, Formal analysis, Investigation. Feixuan Wu: Methodology. Yuwei Zhang: Methodology. Mengsu Yang: Resources. Wenying Zhong: Conceptualization, Supervision. Wanqing Yue: Conceptualization, Supervision, Funding acquisition, Project administration, Writing - review &

Declaration of Competing Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Acknowledgements

This work was supported by grants from National Natural Science Foundation of China (21605160), Jiangsu Natural Science Foundation (BK20171387), “Double First-Class” University project (CPU2018GY25), Jiangsu Innovation and Enterpreneurship Project, and Open Research Fund of State Key Laboratory of Bioelectronics Southeast University.

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