Wei
Zhang
ab,
Kai
Zhao
c,
Craig E.
Banks
*d and
Ying
Zhang
*a
aCollege of Science, Huazhong Agricultural University, Wuhan 430072, P. R. China. E-mail: zhangying84@mail.hzau.edu.cn
bWuhan Institute of Marine Electric Propulsion, Wuhan 430064, P. R. China
cHuazhong University of Science and Technology Tongji Medical College, Wuhan 430030, P. R. China
dFaculty of Science and Engineering, Manchester Metropolitan University, Chester Street, Manchester M1 5GD, UK. E-mail: c.banks@mmu.ac.uk
First published on 22nd August 2017
In this study, we describe a sensitive protocol for the detection of bladder cancer cells in a patient's urine without pre-treatment of the urine sample using antibody-modified hydroxyapatite (HAp) micro/nanostructured surfaces converted from natural seashells under mild biomineralization conditions. The mechanism based on fractal dimension-crystalline phase interactions was utilised for the enhancement of cell capture capabilities that has been verified by application in the determination of 22 urine samples from bladder cancer patients. We have established a facile and economical yet biocompatible and bioactive surface with a topography consisting of micro and nano features that provide useful binding sites for antibodies permitting the rapid identification of cancer cells during urine cytology via fluorescence observation with the naked eye.
In recent years, the detection of bladder cancer by CTC-related methodologies has been reported, usually dependent upon bio-recognition events between specific cell surface antigens (CSA), such as epithelial cell adhesion molecules (EpCAM) and the human epidermal growth factor receptor 2 (HER2) and the corresponding antibody.4,5 However, along with the rare number of CTCs, the sensitivity is always detrimentally influenced by the complex components of blood. For CTC determination, the most common approach is usually in blood samples, but by its very nature, the matrix is complex resulting in surface adsorption that will influence the results.6 Research has been directed to using sandwich assays, such as modifications with silicon nanowire arrays, TiO2 nanowire arrays, fractal gold nanostructures (FAuNSs), conducting polymer based micro/nanorods arrays, conducting polymer nanodots and reduced graphene oxide (rGO) films have all been reported7–13 and applied in blood samples.
On the other hand, urine is relatively simpler and determination within this matrix is relatively non-invasive. Cancer cells of clinically relevant bladder and urothelial tumours are routinely shed into urine. The presence of exfoliated tumour cells in urine is the basis of the cytology examination of voided urine, which is currently, the only non-invasive routine standard of care for the surveillance of urothelial cancers.14–16 We note that the determination of CTCs in urine is rarely reported.6 Attributed to its relatively simple composition, the detection of CTCs in urine is theoretically superior17 and its collection more convenient than that of blood. Cancer cells will detach from primary tumour(s) and enter into urine providing a novel route to measure/capture CTCs18 for the early detection of bladder cancer.
However, standard cytology and adjunct molecular tests are always limited by their sensitivity, often due to paucicellularity and the presence of confounding background non-urothelial cells, which have been unable to substitute or reduce the need for cystoscopy. An alternate sensitive, rapid and cost-effective bladder cancer detection and surveillance assay would therefore be beneficial.
Inspired by nature, inorganic materials fabricated under biomineralized conditions are often equipped with unique morphologies and dedicated microstructures, which exhibit excellent properties and display increasingly important properties in a variety of applications such as tissue engineering, drug delivery and biosensing. Hydroxyapatite (Ca5(PO4)3OH, HAp), a typical example, is known as the main inorganic component in biological hard tissues such as natural bone (95%) and enamel (98%).19 For this reason, it has been widely applied as a biomedical material in bone implant and other related fields. The physical-chemical and biological-physiological properties of HAp have been shown to be highly dependent upon its morphological properties.20–22
In addition to the excellent biocompatibility of biomineralized HAp, the tailored microstructures including morphology and crystalline networks are expected to enhance the local topographic interactions with extracellular extensions.23 The HAp platform we present herein, takes advantage of this novel biomaterial for the sensitive capture of bladder cancer cells using functionalized HAp micro/nanostructured agglomerates converted from natural seashells (Charonia tritonis) under mild biomineralization conditions. The HAp platform/surface is then chemically functionalized with EpCAM antibodies by streptavidin (SA) bridging. The amino group of SA interacts with the hydroxyl groups on the HAp surface and by electrostatic attraction of OH–NH2. The target cancer cells were then captured by subsequent SA and biotinylated EpCAM antibody interactions; see Fig. 1 for graphical representation of the overall process. Unlike other cell capture platforms with artificial micro- or nano-posts, the effective functionalized surfaces proposed here are created by spontaneous formation of micro/nano-agglomerates during the biomineralization process. We have applied this antibody-modified hydroxyapatite platform in the determination of bladder cancer in 22 samples of patient urine without any prior sample treatment, verifying the HAp antibody-modified platform has useful and sensitive detection capabilities for use in urine oncology.
(i) Heat inactivation of anti-EpCAM. Thermal inactivation of anti-EpCAM was performed by heating the anti-EpCAM/SA coated substrate to 90 °C for 10 min, then continuing to carry out the cell capture experiment in the EJ cell suspension;
(ii) Anti-EpCAM denatured by guanidine hydrochloride. The anti-EpCAM was denatured by immersing the biomineralized substrate in 6 mol L−1 guanidine hydrochloride for 1 h;
(iii) Without streptavidin. Anti-EpCAM was directly coated on the biomineralized substrate without streptavidin;
(iv) In normal human urine. The urine samples collected from 25 normal people were utilized for the parallel experiment, aimed at finding out the interference in the urine environment. The whole process kept pace with that for the patient urine.
Scanning electron microscopy images as shown in Fig. 3 illustrate the morphological evolution of the HAp platform over the reaction time of 2 to 21 days' biomineralization. It can be found that both surfaces consist of orientational fibrous texture, but delamination only occurs on the outer surface (Fig. 3a and b). For the 2 to 21 days' samples, both the surfaces are coated with flower-like agglomerates. Interestingly, after the first 2 days, the formed flower-like patterns were not very obvious (Fig. 3c and d). After another 2 days' conversion, these are transformed into 3D agglomerates, comprising micro sheets (Fig. 3e and f). After 6–8 days, the edges became chiselled and diverging (Fig. 3g and j). The sheets on the outer surface starts to become obscure again over 12–15 days' conversion (Fig. 3k and m) and the crystals on the inner surface remain flower-like in spite of the decreased size (Fig. 3l and n). The sheets on the outer surface appear to turn to strong and clearly defined structures again after 18–21 days (Fig. 3o and q), while the edges on the inner surface became unclear first and then changed to sharp (Fig. 3p and r). The morphology evolution processes observed herein can be explained by the nucleation–dissolution–recrystallization-self-assembly mechanism.24 The corresponding fractal dimensions were calculated by the classical box-counting method (see Experimental section) with the assistance of MATLAB. On the 18th day, the fractal dimensions reached a peak of 1.6 ± 0.1 (the outer surface) and 1.8 ± 0.1 (the inner surface) (n > 3).
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Fig. 3 Comparison of the outer and inner morphologies and cell capture behaviours of the products after conversion for 2 to 21 days. Note: Fig. S1 (ESI†) defines the outer and inner surfaces of a seashell (conch). |
To explore the specific cell recognition performance of the HAp biomineralized surfaces, EJ cells (EpCAM positive) were used to measure cells in simulated urine samples in 1 × PBS (105 cells per 1 mL PBS). The functionalized biomineralized substrate and a functionalized raw seashell were then compared to examine how biomineralized agglomerates might increase the capture yield (shown in Fig. 4). The results from spiked cells in buffer solutions clearly show that the biomineralized substrates increase capture efficiency. Furthermore, it can be inferred that the cell capture performance of the inner surface is superior to the outer surface. The raw seashell (conch) structures/surfaces do not have the capability to capture cells but when the conversion time is extended from 2 to 18 days, the capture efficiency increases correspondingly due to structural morphological changes. Note that the 18 days' sample has the highest capture efficiency of 70% ± 15% which likely originates from the crystalline structure/phase composition. However, for the 21 days' sample, the decreased capture efficiency may be attributed to agglomerates forming on the biomineralized surfaces.
To understand the working mechanism of the anti-EpCAM-coated biomineralization interfaces, the relationship between fractal dimension and captured cell number was calculated to reveal the topographic interaction between cancer cells and biomineralized nanostructures, as shown in Fig. 4. It was revealed that the fractal dimension value of the inner surface varies more obviously than that of the outer surface. However, the cell-capture number for the inner surface is much smaller than that for the outer surface. These results indicate that cancer cells prefer to interact with fractal nanostructures with a similar fractal dimension by enhanced topographic interactions. Moreover, as the holding time increases to 18 days, the fractal dimension of both the inner and the outer surface reaches a peak.
According to the XRD characterization results, it is likely that the composition of the crystalline phase plays an important role in enhancing the cell-capture capability over that of the fractal dimension. Furthermore, control groups of experiments confirm that the cell-capture capability of the proposed platform mainly depends on the anti-EpCAM coated on the surface by anti-EpCAM/EpCAM recognition, while streptavidin bridges this antibody and the biomineralized platform (see Fig. S2, ESI†). Consequently, the cell-capture capability ultimately depends on the composition percentage of HAp within/on the surface of the substrate.
Based on the above results, the 18 days HAp platform was applied to detect cancer cells in human urine. In this work, fresh morning urine samples collected from 22 patients were used for the detection. The classification of patients' urine samples is shown in Fig. S3 (ESI†). The determination conditions were the same as in the above tests. In comparison, a normal urine sample was explored as a control (Fig. S2, ESI†). The typical fluorescence micrographs of cell-capture results performed in three kinds of urine samples (clear, cloudy and blood, the appearances are shown in Fig. S4, ESI†) are displayed in Fig. 5 which clearly confirm good capture capabilities and the promising application potential of our proposed platform. By defining 5 cells per 10 mL urine samples as a positive result, the statistical data for the determination in the abovementioned three kinds of urine are also summarised. The ratios of positive results to total samples (outer vs. inner) are found to be 9/9 vs. 9/9 (for clear samples), 5/6 vs. 4/6 (for cloudy samples) and 7/7 vs. 7/7 (for blood samples), respectively (p < 0.05). This indicates that the cloudy urine environment would negatively influence the detection results due to more interference existing in the sample than in other two samples. Last, Fig. 6 shows the cell capture capability of the proposed HAp substrates/platform in untreated urine samples demonstrating that we cannot find obvious differences in the determination of cancer cells in patients from different regions. For this reason, the proposed cell-capture platform can be considered to be a universal sensing protocol. The ratios of positive results to total samples are 7/7 vs. 7/7 (for samples from Hubei), 8/8 vs. 8/8 (for samples from Jiangxi) and 6/7 vs. 5/7 (for samples from Henan), respectively (p < 0.05). In average, the capture efficiency of the proposed HAp platform is ∼85%. Although this value is lower than that of the recently reported PPOx platform (up to 100%),14 all the experiments confirm the possibility that the proposed biomineralized platform can be applied as a novel universal strategy for bladder cancer detection in untreated real urine.
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Fig. 5 Cell capture capability of the proposed antibody-modified hydroxyapatite (HAp) surfaces in untreated patients' (a) clear, (b) cloudy and (c) blood urine samples. Dash line: 5 cells per 10 mL urine. Error bars represent the standard deviation of the average number of cells per 10 mL samples (p < 0.05). Table S1 (ESI†) provides details of the sample number/patient details. |
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Fig. 6 Cell capture capability of the proposed substrate in untreated urine samples of patients from (a) Hubei, (b) Jiangxi and (c) Henan province. Dashed line: 5 cells per 10 mL urine. Error bars represent the standard deviation of the average number of cells per 10 mL samples (p < 0.05). Table S1 (ESI†) provides details of the sample number/patient details. |
On the basis of these measurement results, we classified the diseases that the patients suffered from according to the clinic stages, and the relationship between cell-capture number and the disease is suggested in Fig. 7. The overall tendency of cell-capture number increase with the disease stage is expected, especially for the inner surface of the substrate. However, the unexpected positive results may mainly attribute to the interference by substances in urine such as urinary protein, debris and other background cells,25 as well as proliferative cells generated from benign urological lesions26 such as bladder polyps and benign prostatic hyperplasia, requiring other techniques (such as the immunohistochemical method) for identification in the future.
Footnote |
† Electronic supplementary information (ESI) available: Definition of outer and inner surface, results of control groups, disease information to the urine samples, classification of patients' urine samples, three kinds of appearance of urine samples and corresponding typical fluorescence micrographs. See DOI: 10.1039/c7tb01854a |
This journal is © The Royal Society of Chemistry 2017 |