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Scientific Reports logoLink to Scientific Reports
. 2017 Apr 4;7:610. doi: 10.1038/s41598-017-00232-6

Highly-sensitive capture of circulating tumor cells using micro-ellipse filters

Hongmei Chen 1,2,, Baoshan Cao 3, Bo Sun 1, Yapeng Cao 1, Ke Yang 4, Yu-Sheng Lin 2
PMCID: PMC5428045  PMID: 28377598

Abstract

Circulating tumor cells (CTCs) detection, enumeration and characterization with microfluidic chips has critical significance in cancer prognosis offering a non-invasive “liquid biopsy”. Based on physical differences of size and deformability, we explore micro-ellipse filters consisting of microfuidic slits in series gradually narrowed. Slender tunnels sensitively capture tumor cells with slim chance to escape. Tumor cells could reside at capture sites organized by arrays of micro-ellipse microposts enduring less stress. Circular elliptical microstructures produce smooth flow minimally reducing any damage. “Air Suction” could extremely shorten capture. Capture efficiency comes out to be a robust yield of 90% and percentage obeys Gaussian distribution at various stages. With rare number accurately enumerated, micro-Ellipse filters have been tested high efficiently capturing tumor cells in both whole and lysed blood. To clinically validate the device, the microfluidic chip was utilized to identify and capture CTCs from metastatic breast, colon and non-small-cell lung (NSCLC) cancer patients. CTCs were detected positive in all samples with 4 patients having more than 20 CTCs. Those sensitive results are consistent with theoretical expectation. Efficient micro-ellipse filters enable clinical enumeration of metastasis, on-chip anti-cancer drug responses and biological molecular analysis.

Introduction

Circulating tumor cells (CTCs)1 enter blood stream, causing metastatic spread and growth of tumor cells at distant sites2. Metastasis is decisive for life of cancer patients3,4. Number of CTCs is related to overall progression-free survival5 since more CTCs indicate shorter survival6. Enumeration of CTCs is the key to evaluate disease severity6,7 and explore biologic mechanism of metastasis. However, only 1–100 CTCs among billions of normal cells8, this poses high technique challenge. Currently, Veridex Cellsearch system (Raritan, NJ, USA) is only FDA-approved for successfully clinical enumeration of breast, prostate and colorectal cancers through immunomagnetic technology9,10. Microfluidic chips appear as an attractive alternative to conventional biochemical methods offering a “liquid biopsy”11 utilizing immune-affinity, physical separation and immuomagnetic approaches. CTC-chip12, Herringbone-chip (HB-Chip)13, patterning regions of alternating adhesive proteins14, a grapheme oxide chip15, a 3D graphene oxide microchip16, OncoBean chip17 and a GO-polymer device18 realize affinity-based isolation. The abovementioned approaches resort to a specific antigen, EpCAM or aptamers19,20. Due to epithelial-to-mesenchymal transition (EMT)21, metastasis changes epithelial characteristic of tumor cells into the mesenchymal in the invasion, causing EpCAM loss22. Hence, physical separation of size- and deformability-based filtration is widely adopted in the CTCs isolation, owing to CTCs being larger and less deformable than normal blood cells23. 8 µm has been proved as a valuable and optimal size in retrieval of CTCs, a gold standard and cutoff pore size to filter24. Smaller size such as 5 µm or 4 µm also has been applied25. Slanted spiral microfluidics could ultra-fast, label-free isolate CTCs26 utilizing Vortex technology combining use of micro-scale vortices and inertial focusing8. A centrifugal-force-based size-selective CTC microfluidic device27, a CTC Cluster-Chip28, a cascaded spiral microfluidic device29, a microfluidic rachet30 and a multi-obstacle architecture (MOA) filter31 are recently described. Dedicated efforts have been made to overcome size-overlapped between CTCs (15 µm–25 µm) and White blood cells (WBCs) (9 µm–16 µm)32. Sensitivity and reproducibility still remain our aim to be improved. Some current microfluidic chips for CTCs isolation have been listed (See Supplementary Table 1).

Here we introduce micro-ellipse filters (Ellipse filters) for highly-sensitive, robust and reproducible capture of CTCs. Successive micro-Ellipse filters in series ensure captured CTCs avoiding being flowed away by hydrodynamics forces. Filters have finer gap spacings organized by micro-elliptical microposts from upstream to downstream. A circularly elliptical micro-structure is designed to prevent any detrimental frequently met for square, rectangular33 or even weir-style physical barriers34 (Fig. 1). Smooth edges are frictionless and harmless and elongated passageways keep tumor cells from entry. This flowing structure with slim tunnels is pivotal to capture CTCs with high sensitivity and viability. The characteristic of this approach relies on physical differences of size and deformability between tumor cells and haematological cells. Quantitatively precise rare cells enumeration is feasible for artificial patient assays. Furthermore, performance of the device has been clinically validated through capturing CTCs from four metastatic breast cancer patients, one colon patient and twelve non-small-cell lung (NSCLC) cancer patients.

Figure 1.

Figure 1

Configuration and operational diagram. (A) Diagram of Ellipse filters and configuration of single micro-elliptical pillar. Gap sizes of different arrays for micro-Ellipse filters ranging from L1 to L12 are18 µm, 16 µm, 14 µm, 12 µm, 9 µm, 9 µm, 7 µm, 7 µm, 5 µm, 5 µm, 5 µm, 5 µm, respectively. S0 to S13 are stages between two neighboring arrays. The distance between two successive arrays is 1500 µm. (B) Schematic of operating principle of CTC capture in front of Ellipse filters.

Separation principle

Micro-Ellipse filters could transport CTCs samples through a matrix of ellipse constriction, impeding large, stiff tumour cells and allowing small, malleable cells to transit through. 8 µm has been found to be a little wider for discriminating every CTCs (See Supplementary Fig. 1), thus we choose 5 µm as the narrowest gap spacing. The width between successive rows is 1500 µm and the depth of the device or the ceiling height of the microposts is 70 µm. There are totaling 12 arrays from L1 to L12 with gaps ranging from 18 µm to 5 µm, and each row has almost two hundred micro-ellipse pillars. S is the stage between two neighboring arrays. Big gap spacing was utilized to obstruct impurities, and small ones were used to segregate. The micro-ellipse is made up of three components, a half circle with radius 25 µm, a rectangular with length 100 µm and width 50 µm and a half ellipse with half long axis 75 µm. Dimension of the micro-ellipse and height is chosen comparably to several tumor cell sized rendering strengthen structure and smooth flow. Delicate slightness tunnels could prevent CTCs from entering, thus greatly promote sensitivity. Once CTCs are interrupted, CTCs recline on entrancing capture sites by microposts organization or transit between two adjacent arrays of micropillars, impossible to deform to passage through (Fig. 1). From simulation and mechanic analysis of filters composing of ellipse pillars, circular posts and prismatic ones (Fig. 2), we could see circular elliptical microstructures experiencing minimum pressure difference. Thus, ellipse filters would reduce friction and shear stress producing any damage greatly ensuring viability. It would have no impair on tumor cells with sharp angles. Slender tunnels ensure captured CTCs without being escaped except relaxed in front of micropost arrays. They function as barriers to CTCs yielding permission to small deformable blood constituents. Thus, those frictionless gradual micro-ellipse filters ensure high reproducible sensitivity. Distribution of distinct malignant cells is determined by their malignancy capability to pass across varied gradually narrowed microchannels. Clogging phenomenon could be extensively mitigated through red blood cells lysis (RBCL) followed by gently flushing to dislodge non-specific adhension of blood cells. Since broader regions exist between two adjacent arrays compares to length of the micropillar. Thus, CTCs mostly retain inside the media keeping viability enabling following biological molecular analysis. This fine designed constriction facilitates viability.

Figure 2.

Figure 2

Comparison of pressure contours for three microfluidic chips composing of three distinct microposts. (A) Pressure contour for ellipse microposts array. (B) Pressure contour for circular microposts array. (C) Pressure contour for prismatic microposts array. (D) Pressure contour for magnified ellipse microposts array. (E) Pressure contour for magnified circular microposts array. (F) Pressure contour for magnified prismatic microposts array.

Results and Discussion

Optimal flow rate

Capture efficiencies for Ellipse filters are evaluated at various flow rates (Fig. 3). We spiked 100 breast cancer cells (MCF-7) into phosphate buffered saline (PBS) and enumerated tumour cells captured on Ellipse filters and flowing out. Several identical comb-like filters in series with porosity narrowed down are effective in capturing. Low flow rates corresponding to high capture efficiency are preferrable, whereas high shear stress produced at high flow rates would do maleficence to cells. Extremely high hydrodynamic forces would release trapped cells. Also due to greatly enhanced flow rate, more malignant tumor cells tend to deform to squeeze out. In order to get rigorous, robust and reproducible capture efficiency and find each CTC in patient blood sample, we choose low flow rate as the optimal. In Fig. 3A, capture efficiency is better than 90% at 1 ml/h, and 80% still could be obtained at 2 ml/h. Therefore, subsequent assays were performed at the optimal flow rate of 1 ml/h. CTCs visually evidently appear in front of Ellipse filters shown in Fig. 3D.

Figure 3.

Figure 3

(A) Diagram of microfluidic chips connecting to a 10-channel syringe pump. (B) Photography of microfluidic system for ultra-sensitive capture of CTCs. (C) Capture efficiencies of Ellipse filters at varied flow rates. (D) Tumor cells are captured before the micropillars. Scale bar = 50 µm.

Isolation results and efficiency in PBS

Feasibility of Ellipse filters has been tested by differential capability of tumor cells to travel through narrow capillaries. Three cell lines of MCF-7, hepatocellular carcinoma (HepG2) and Hela were utilized to rate capture efficiency (CE) capability of Ellipse filters at the flow rate of 1 ml/h. CE could reach 90.5 ± 8.4% for MCF-7, 85.7 ± 14.3% for HepG2 and 91.5 ± 8.9% for Hela (Fig. 4A), respectively, greatly satisfied with requirement of high CE of rare CTCs. The reason for trivial CE difference especially for HepG2 trivially low is that HepG2 has agglomerations phenomenon causing difficultly differentiating each cell occasionally. Performance of Ellipse filters was compared with an 8-µm filter. CE for the 8-µm filter composed of square microposts with diameter of 20 µm for a single array is 55.4% (See Supplementary Fig. 1). CE for this Ellipse filter is considerably high with the 8-µm filter. Reproducible CE indicates suitability of Ellipse filters for robust sensitivity analysis. Effectiveness of high CE is not affected by pressure experienced for tumor cells to pass through the channel. Since totally only 12 rows are arranged comparing with several hundred small-sized micropost arrays organized, CTCs avoid frequent collision while traversing through the narrow gaps, which would increases cumulative stress. Due to existence of long tunnels, there is no chance for tumor cells to get through. For our micro-ellipse 2D construction, tumor cells could regularly remain in the broader area between successive arrays before they could flow forward out. To process large sample within short time, simplified “Air Suction” is adopted to process large amount of blood sample. After red blood cells lysed (RBCL), blood sample volume greatly decreased. “Air Suction” was taken followed by absorbing the lysed sample. Therefore, the total amount is still just several hundred microliter, extremely reduced comparing with usual 2–3 ml. This approach could even be applied to 7.5 ml blood sample. Then capture procedure could be carried out and accomplished in ten minutes.

Figure 4.

Figure 4

Percentage distribution of CTCs retained at individual stages. (A) Capture efficiencies for three different cell lines of breast (MCF-7), live (HepG2) and Hela, respectively (n = 3). CE for an 8-µm filter composed of square microposts with diameter of 20 µm for a single array. (B) Distribution obeys Gaussian distribution with mean value of 7.3 and standard derivation of 3.54. Dark gray is experimental values and gray is calculated ones. They are pretty fit. (C) Cumulative percentage distribution at various stages with 0 representing inlet and 13 as outlet. Experimental values are in black and calculated values in red (flow rate 1 ml/h). (D) Percentage distribution for tumor cells spiked in whole blood at various stages with mean value of 7.6. (E) Capture efficiencies for accurate small number of spiked MCF-7 cells in whole blood. (F) Capture efficiencies for accurate small number of spiked MCF-7 cells in lysed blood.

Percentage distribution of CTCs retained by Ellipse filters at various stages

Percentage distribution of CTCs retained by Ellipse filters at each stage is assessed in Fig. 4B. Stage is defined as a zone separating two successive comb-like filters. Tumor cells are mostly confined in stages. Different deformability of tumour cells would pass through distinct levels of the gradual filter. Tumor cells appearing from downstream have stronger deformability, more invasiveness and severer malignancy in contrast to those in the upstream31. Deformability could especially be noted when tumor cells stuck in the middle of the tunnel. Perform three individual experiments and enumerate cell numbers at each stage, respectively. It could be deduced that percentage obeys Gaussian distribution of μ ± σ = 7.3 ± 3.544 (mean value μ and standard derivation σ), corresponding to the gap spacing of first 7 µm in Ellipse filters where the most efficient percentage happens (See Supplementary for steps). Further, every stage is valid in capturing contributing to total capture partially. From Gaussian theory, probability density function is defined as f(n,μ,σ)=12πσexp((nμ)22σ2), where n is stage number starting from 0 to 13. With μ = 7.3 and σ = 3.544, percentage at various stages could be calculated theoretically35,36 (See Supplementary). Cumulative percentage of CTCs remained at various stages is shown in Fig. 4. Dark gray and red are experimental values, and light gray and black are theoretical ones, respectively. Experimental results are consistent with theoretical calculation. Mean value has been altered to 7.6 (σ = 3.62) with same amount of MCF-7 spiked in whole blood (Fig. 4C). Complex blood constituents retard the optimal capturing position. Thus, cells distribution in various stages of the gradual filter due to different malignancy to pass through distinguishing levels of filters was evaluated.

Tumor cell capture from artificial lysed, diluted and whole blood

Artificial patient blood was made to validate utility of Ellipse filters. Fluorescently labeled tumors cells were spiked into whole or lysed blood before using clinical samples. 2 to 20 MCF-7 cells were mixed with 1 ml whole blood or lysed blood to perform series of experiments. Those rare number cells were enumerated accurately with single fine-needle aspirates through absorbing the separated cells one followed next from diluted cell suspension, and then blowing out. An attractive result from straight best fitted lines was obtained (Fig. 4), better than 85% for whole blood and over 98% for lysed blood. CE for whole blood is relatively lower due to steric hindrance of RBCs. For whole blood, captured tumor cells experience much colliding and lashes when billions of RBCs were delivered out, posing robustness and reproducibility challenges to any microfluidic chips. Number of cells used in this assay is close to number of CTCs in real patient blood specimen. Highly-sensitivity ensures success of subsequent tests.

To further evaluate Ellipse filters, one hundred MCF-7 cells were spiked into lysed, diluted and whole blood, respectively. After RBL, 1 ml PBS was introduced into Ellipse filters after CTCs were captured to get rid of non-specific adhesion of background cells. Captured cells were identified through staining on the chip with Hoechst, cytokeratin-FITC (CK-FITC), and CD45-PE antibodies. Figure 5 depicted MCF-7 cells with green fluorescence stuck in the channel organized by elliptical micropillars with few red leukocytes, approximately one CTC surrounded by three White blood cells (WBCs) (Fig. 5A). Tumor cell deformability is notable in the narrow constriction during passage. For large tunnels, tumor cells perhaps would occasionally remain inside instead of wandering between two neighboring arrays. Those phenomena are in accordance with our prediction.

Figure 5.

Figure 5

On-chip staining and fluorescence images of isolated tumor cells (green) and leukocytes (red) stained with Hoechst, CK-FITC and CD45-PE for (A) artificial lysed patient blood (B) artificial diluted patient blood (C) artificial whole patient blood. Scale bar = 50 µm.

In Fig. 5B, for artificial diluted patient blood, morphologic characteristics exhibited by two green MCF-7 tumor cells could be distinguished from several red contaminating WBCs. This is not comparable to lysed blood, but facile detection and characterization still could be performed.

For artificial whole patient blood, isolation is presumably impossible for Ellipse filters. However, large cellular sized tumor cells still could be distinguishable amidst few WBCs (Fig. 5C). Therefore, High-sensitivity has trivial influence on purity.

From illustration above, we could draw a conclusion that except few enumerable WBCs unavoidably captured on Ellipse filters, CTCs isolation could satisfactorily meet clinical demand for lysed, diluted and whole blood.

Cell viability

Viability has critical significance for subsequent genetic analysis especially in clinic diagnosis. Elliptical micro-structures reduce shear stress force and gradually narrower gap spacing simplifies release procedure. Broad stages greatly mitigate compressive forces in capturing and ensure viability of released cells. After spiking MCF-7 cells into whole blood, viability is determined to be 96 ± 4.6%. Also we expand the tumor cells released after captured and cultured them at different times. The ability of the isolated cancer cells to propagate is not compromised by the capturing process (See Supplementary Figs 3 and 4). On-Chip culture after capture also could be performed (Fig. 6).

Figure 6.

Figure 6

Fluorescence images of re-cultured MCF-7captured on micro-ellipse filters from L1 to L12 including inlet after 6 days.

CTCs capture in clinical patient samples of breast and non-small cell lung cancers

To clinically evaluate Ellipse filters, blood samples from four metastatic breast cancer patients and nine non-small cell lung cancer patients are utilized to perform assays. CTCs were tested positive for the 2–3 ml blood samples of all the patients with this Ellipse filters. Patient number involved in Ellipse filters performance evaluation corresponding to number of CTCs detected is illustrated in Fig. 7. CTCs are Hoechst+/CK+/CD45− recognized with blue and green fluorescence and WBCs are Hoechst+/CK−/CD45+ distinguished with blue and red fluorescence. Ellipse filters has been clinically assessed through capturing CTCs from four metastatic breast cancer patients and nine non-small-cell lung (NSCLC) cancer patients. With “Air Suction”, we tested one colon patient blood and three NSCLC patients. Capture could be accomplished in ten minutes. CTCs could be identified with Hoechst+/EpCAM+/CK+/CD45−. From Fig. 7D, it could be seen CTCs are cluster with red fluorescence. No CTCs has been found in health controls. For all seventeen patient samples, CTCs were detected positive in all samples with 4 patients having more than 20 CTCs. For both artificial patient blood with tumor cells spiked into the blood and clinical patient assays, purity is one CTC among few WBCs. From those fluorescence images, it could be obviously shown. This statistic result of Fig. 7A for purity derives from experimental clinical tests. Red blood cells have no effect on recognition of CTCs due to no nucleus especially after RBCL. We have demonstrated validity of this Ellipse filters in capturing and segregating CTCs in both artificial and patient blood samples.

Figure 7.

Figure 7

Ellipse filters validation with patient samples. (A) Clinical performance of Ellipse filters showing CTCs detected from patients with breast cancer and lung cancer. (B) Immunofluorescent staining of a breast CTC recovered showing nucleus, cytokeratin, absence of CD45 and a merged field, and similar staining for leukocytes. (C) Clinical performance of Ellipse filters showing CTCs detected from patients with colon cancer and lung cancer. (D) Immunofluorescent staining of two NSCLC CTCs recovered. Scale bar = 50 µm.

Conclusions

We have demonstrated unique, versatile micro-ellipse gradual filters for capturing circulating tumor cells high efficiently, allowing separation of individual population of tumor cells from heterogeneous samples. Relatively long micro-ellipse structures function as slender tunnels to block entrance of tumor cells reducing shear stress and damage, and enhancing viability. Based on physical separation of size and deformability, validity has been precisely verified in both cancer cell lines and clinical breast patient and lung patient blood specimens. Although flow rate is limited, capture efficiency is robust, rigorous and reproducible. RBCL, single fine needle aspirates, flushing and “Air Suction” combined would ensure large sample processing accomplished shortly with high purity. It could be potentially applied to CTCs product. Next step, CD45 WBCs depletion would be processed to further enhance purity and anti-cancer assays for on-chip cultured tumor cells could be conducted. It is a rigorous and sensitive analytical device for detecting, segregating and enriching CTCs, whose prospective in enumeration of CTCs in clinical samples could be expected as a diagnostic tool such as drug response and therapeutic analysis.

Materials and Methods

Ethics Statement and clinical sample measurement

Blood samples were obtained from healthy donors and metastatic breast and lung cancer patients in Peking University Third Hospital. The clinical sample collection was carried out in accordance with the guidelines and protocols approved by Peking University Third Hospital Medical Science Research Ethics Committee. Informed consent was obtained from all patients prior to participation in the study. Within five months before October 2016, totally 17 patient blood samples with metastatic breast cancer and non-small-cell lung (NSCLC) cancer were collected to perform clinical CTCs experiments. Among them, four are breast cancer and nine are lung cancer. All blood samples (A volume of 2–3 mL for each sample) were collected into EDTA-contained vacutainer tubes and were processed within 5 h.

Fabrication

The size of the microfluidic chip is less than a glass microscope. The structure of the microfluidic chip is created using lithography technology. Patterns of the microstructure are drawn to produce a high resolution transparency optical photomasks. Inverse versions of the microstructures are fabricated on a silicon wafer through the following. The silicon wafer is spin-coating with a 7 µm thick AR-N 4450-10 (ALLRESIST GmbH, Germany), soft baking, UV light exposure and then post exposure baking. After developing, a silicon master pattern with the micro-structure was generated. Through casting a liquid Polydimethylsiloxane (PDMS, Sylgard 184, Dow Corning) in a monomer to curing agent ratio of 10:1, against the master and baking in an oven for 1 h at 80 °C, PDMS structure was fabricated with inlet and outlet (1.0 mm) punched. Treated with a High Frequency Generator (Electro-Technic Products, Inc, Chicago, IL), PDMS structure was bonded to a glass slide after thoroughly ultrasonic cleaning.

Microfluidic system

The microfluidic system consists of ten microfluidic chips of micro-ellipse filters, plastic tubes, syringes and syringe pumps. A syringe pump was used to load cell suspension into the chip. The syringe attached to the pump was connected to inlet of the chip through plastic tubing as shown in Fig. 3. An inverted phase contrast fluorescence microscope (Nikon, Japan) equipped with a high speed CCD camera (Nikon, Japan) was used to observe.

Cell Culture

MCF-7 cells (human breast adenocarcinoma) and HepG2 cells (hepatocellular carcinoma) were provided by Tianjin Medical University Cancer Institute and Hospital. Hela cells were offered by Peking University Third Hospital. Cells were cultured in Dulbecco’s Modified Eagle Medium (DMEM) (HyClone, USA) medium supplemented with 10% fetal bovine serum (FBS) (GIBCO, USA) and 1% penicillin-streptomycin (Ying Reliable biotechnology, China) and incubated in a humidified atmosphere at 37 °C with 5% CO atmosphere. When cell lines were grown as adherent monolayers to 95% confluence, they were detached from the culture dishes with 0.25% Trypsin solution. The cell suspension was diluted to obtain a desired cell concentration using a hemocytometer. Cells were labeled by Calcein AM (BIOTIUM, USA) and Hoechst (Molecular Probes, Solarbio Corp., China). Observation of CTCs was used an inverted phase contrast fluorescence microscope (Nikon, Japan) equipped with a high speed CCD camera (Nikon, Japan) and counted by using hemocytometer to around 100 cells in 1 ml PBS containing 1% BSA and 0.05% tween-20.

Capture efficiency calculation and percentage distribution

The cell suspension was injected into microfluidic system as shown in Fig. 3. Two important characteristic parameters are defined as following to evaluate performance of Ellipse filters; i.e., capture efficiency (CE) = [(captured CTCs)/(captured + escaped CTCs)] × 100% and capture purity = [(captured CTCs)/(captured CTCs +captured WBCs)] × 100%. Number of captured cells was counted from fluorescence images from one stage to another to determine their distribution and its total number of captured cells.

After cells were fluorescently labeled with Calcein AM (BIOTIUM, USA) and Hoechst (Molecular Probes, Solarbio Corp., China), they was counted with a hemocytometer to around 100 cells in 1 ml in 1 × PBS containing 1% BSA and 0.05% tween-20. An extremely slim glass needle pulled by a micropipette puller with aspirator tube assemblies for calibrated microcapillary pipettes (Sigma-Aldrich), was used to get a desired small number of tumor cells (from 0 to 20) mixed with whole blood or lysed blood. The number of captured cells was counted from fluorescence images from one stage to another to determine their distribution. Count total number of captured cells, we should be able to get percentage distribution.

RBCs Lysis

Red blood cells (RBCs) were removed from whole blood using Red blood cell lysis buffer (Solaibao, Beijing). It was treated gently without any damage to tumor cells and white blood cells. Operations were performed on ice. RBCs lysis was gently processed before capture, and had no effect on CTCs. The flow rate used for flushing was 1 ml/h. After RBCs Lysis, only WBCs and CTCs left. Isolation would keep every CTCs and numerable WBCs. With flushing, CTCs still remained including countable WBCs. Thus, clogging problem has been greatly mitigated.

Artificial Patient Blood and Patient CTCs Analysis

Small limited number of unlabelled tumor cells spiked into the lysed, diluted and whole blood, respectively. Those artificial patient bloods were processed through the chip followed by washing with PBS, fixing and permeabilization. Anti-Cytokeratin (BD Biosciences) and anti-CD45 (BD Biosciences) and Hoechst applying in 1% bovine serum albumin were utilized for all samples. After washing, then it is ready for microscopic imaging. Normal blood samples and clinical patient samples of metastatic breast, colon and non-small cell lung cancers are offered by Peking University Third Hospital under approval. Same procedure including staining was followed for the patient CTCs analysis.

Cell Viability Assay

MCF-7 cells were harvested, spiked into whole blood, and flowed through the micro-ellipse filters at 1 ml/h. The live/dead reagent consisting of calcein AM and ethidium homodimer-1 (Invitrogen – Life Technologies, Inc.) prepared specifically according to instruction of the manufactures. Number of alive and apoptosis cells were counted respectively to determine viability.

Electronic supplementary material

Acknowledgements

Many thanks are given to Nanjing University contributed to idea of “Air Suction”, simulation and important discussion. Great acknowledgement is given to Prof. Hongda Chen from Chinese Academy of Sciences for his great effort in guiding the whole project, carefully detailed instruct progress of this research and Nobel decline to add his name as coauthor. Dr. Baoshan Cao from Peking University Third Hospital carefully provided clinical patient samples. Yu-Sheng Lin provided suggestion in revising the manuscript. Zhaoxin Geng from Chinese Academy of Sciences proposed 10-channel pump. Graduate students Hongsheng Gao, Tengfei Wang, Chunfei Hu and Guoqing Song from Chinese Academy of Sciences got involvement in discussion. This research work was supported by the Major State Basic Research Development Program of China (973 Program) (Grant No. 2011CB933102) and National Natural Science Foundation of China (Key Program: 61335010).

Author Contributions

Hongmei Chen contributed many works in designing the chip, and performing experiments including clinical experiments, and writing the manuscript. Baoshan Cao get involved in the clinical experiment. Yapeng Cao designed mask for fabrication. Bo sun provided and cultivated the cells. Yu-Sheng Lin, Ke Yang revised the manuscript. All authors contributed to scientific discussion and critical revision of the article.

Competing Interests

The authors declare that they have no competing interests.

Footnotes

A correction to this article is available online at https://doi.org/10.1038/s41598-018-22955-w.

Electronic supplementary material

Supplementary information accompanies this paper at doi:10.1038/s41598-017-00232-6

Publisher's note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References

  • 1.Williams SC. Circulating tumor cells. Proc Natl Acad Sci USA. 2013;110:4861. doi: 10.1073/pnas.1304186110. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Pantel K, Brakenhoff RH, Brandt B. Detection, clinical relevance and specific biological properties of disseminating tumour cells. Nat. Rev. Cancer. 2008;8:329–340. doi: 10.1038/nrc2375. [DOI] [PubMed] [Google Scholar]
  • 3.Mehlen P, Puisieux A. Metastasis: a question of life or death. Nature reviews. Cancer. 2006;6:449–458. doi: 10.1038/nrc1886. [DOI] [PubMed] [Google Scholar]
  • 4.Pantel K, Alix-Panabieres C. Circulating tumour cells in cancer patients: challenges and perspectives. Trends Mol. Med. 2010;16:398–406. doi: 10.1016/j.molmed.2010.07.001. [DOI] [PubMed] [Google Scholar]
  • 5.Cristofanilli M. Circulating tumor cells, disease progression, and survival in metastatic breast cancer. Semin. Oncol. 2006;33:S9–S14. doi: 10.1053/j.seminoncol.2006.03.016. [DOI] [PubMed] [Google Scholar]
  • 6.Fan T, Zhao Q, Chen JJ, Chen W-T, Pearl ML. Clinical significance of circulating tumor cells detected by an invasion assay in peripheral blood of patients with ovarian cancer. Gynecologic Oncology. 2009;112:185–191. doi: 10.1016/j.ygyno.2008.09.021. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Cristofanilli M, et al. Circulating tumor cells: A novel prognostic factor for newly diagnosed metastatic breast cancer. J. Clin. Oncol. 2005;23:1420–1430. doi: 10.1200/JCO.2005.08.140. [DOI] [PubMed] [Google Scholar]
  • 8.Sollier E, et al. Size-selective collection of circulating tumor cells using Vortex technology. Lab Chip. 2014;14:63–77. doi: 10.1039/C3LC50689D. [DOI] [PubMed] [Google Scholar]
  • 9.Yu M, Stott S, Toner M, Maheswaran S, Haber DA. Circulating tumor cells: approaches to isolation and characterization. J. Cell Biol. 2011;192:373–382. doi: 10.1083/jcb.201010021. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Attard G, et al. Characterization of ERG, AR and PTEN Gene Status in Circulating Tumor Cells from Patients with Castration-Resistant Prostate Cancer. Cancer research. 2009;69:2912–2918. doi: 10.1158/0008-5472.CAN-08-3667. [DOI] [PubMed] [Google Scholar]
  • 11.Hyun KA, Jung HI. Advances and critical concerns with the microfluidic enrichments of circulating tumor cells. Lab Chip. 2014;14:45–56. doi: 10.1039/C3LC50582K. [DOI] [PubMed] [Google Scholar]
  • 12.Nagrath S, et al. Isolation of rare circulating tumour cells in cancer patients by microchip technology. Nature. 2007;450:1235–U1210. doi: 10.1038/nature06385. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Stott SL, et al. Isolation of circulating tumor cells using a microvortex-generating herringbone-chip. Proc. Natl. Acad. Sci. USA. 2010;107:18392–18397. doi: 10.1073/pnas.1012539107. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Launiere C, et al. Channel surface patterning of alternating biomimetic protein combinations for enhanced microfluidic tumor cell isolation. Analytical chemistry. 2012;84:4022–4028. doi: 10.1021/ac2033408. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Yoon HJ, et al. Sensitive capture of circulating tumour cells by functionalized graphene oxide nanosheets. Nature nanotechnology. 2013;8:735–741. doi: 10.1038/nnano.2013.194. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Li N, et al. A 3D graphene oxide microchip and a Au-enwrapped silica nanocomposite-based supersandwich cytosensor toward capture and analysis of circulating tumor cells. Nanoscale. 2015;7:16354–16360. doi: 10.1039/C5NR04798F. [DOI] [PubMed] [Google Scholar]
  • 17.Murlidhar V, et al. A Radial Flow Microfluidic Device for Ultra-High-Throughput Affinity-Based Isolation of Circulating Tumor Cells. Small. 2014;10:4895–4904. doi: 10.1002/smll.201400719. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Yoon, H. J. et al. Tunable Thermal-Sensitive Polymer-Graphene Oxide Composite for Efficient Capture and Release of Viable Circulating Tumor Cells. Advanced materials (2016). [DOI] [PMC free article] [PubMed]
  • 19.Zheng F, et al. Aptamer-functionalized barcode particles for the capture and detection of multiple types of circulating tumor cells. Advanced materials. 2014;26:7333–7338. doi: 10.1002/adma.201403530. [DOI] [PubMed] [Google Scholar]
  • 20.Zhao L, et al. Enhanced and Differential Capture of Circulating Tumor Cells from Lung Cancer Patients by Microfluidic Assays Using Aptamer Cocktail. Small. 2016;12:1072–1081. doi: 10.1002/smll.201503188. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Dave B, Mittal V, Tan NM, Chang JC. Epithelial-mesenchymal transition, cancer stem cells and treatment resistance. Breast Cancer Res. 2012;14:5. doi: 10.1186/bcr2938. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Wong IY, et al. Collective and individual migration following the epithelial-mesenchymal transition. Nat. Mater. 2014;13:1063–1071. doi: 10.1038/nmat4062. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Gogoi P, et al. Development of an Automated and Sensitive Microfluidic Device for Capturing and Characterizing Circulating Tumor Cells (CTCs) from Clinical Blood Samples. PloS one. 2016;11:e0147400. doi: 10.1371/journal.pone.0147400. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Lin HK, et al. Portable Filter-Based Microdevice for Detection and Characterization of Circulating Tumor Cells. Clin. Cancer Res. 2010;16:5011–5018. doi: 10.1158/1078-0432.CCR-10-1105. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Lv PT, Tang ZW, Liang XJ, Guo MZ, Han RPS. Spatially gradated segregation and recovery of circulating tumor cells from peripheral blood of cancer patients. Biomicrofluidics. 2013;7:9. doi: 10.1063/1.4808456. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Warkiani ME, et al. Slanted spiral microfluidics for the ultra-fast, label-free isolation of circulating tumor cells. Lab Chip. 2014;14:128–137. doi: 10.1039/C3LC50617G. [DOI] [PubMed] [Google Scholar]
  • 27.Lee A, et al. All-in-one centrifugal microfluidic device for size-selective circulating tumor cell isolation with high purity. Analytical chemistry. 2014;86:11349–11356. doi: 10.1021/ac5035049. [DOI] [PubMed] [Google Scholar]
  • 28.Sarioglu AF, et al. A microfluidic device for label-free, physical capture of circulating tumor cell clusters. Nature methods. 2015;12:685–691. doi: 10.1038/nmeth.3404. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Kim TH, Yoon HJ, Stella P, Nagrath S. Cascaded spiral microfluidic device for deterministic and high purity continuous separation of circulating tumor cells. Biomicrofluidics. 2014;8:064117. doi: 10.1063/1.4903501. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Todenhofer, T. et al. Microfluidic enrichment of circulating tumor cells in patients with clinically localized prostate cancer. Urologic oncology (2016). [DOI] [PubMed]
  • 31.Kim MS, et al. SSA-MOA: a novel CTC isolation platform using selective size amplification (SSA) and a multi-obstacle architecture (MOA) filter. Lab Chip. 2012;12:2874–2880. doi: 10.1039/c2lc40065k. [DOI] [PubMed] [Google Scholar]
  • 32.Dong Y, et al. Microfluidics and Circulating Tumor Cells. J. Mol. Diagn. 2013;15:149–157. doi: 10.1016/j.jmoldx.2012.09.004. [DOI] [PubMed] [Google Scholar]
  • 33.Preira P, et al. Passive circulating cell sorting by deformability using a microfluidic gradual filter. Lab Chip. 2013;13:161–170. doi: 10.1039/C2LC40847C. [DOI] [PubMed] [Google Scholar]
  • 34.Chung J, et al. Rare cell isolation and profiling on a hybrid magnetic/size-sorting chip. Biomicrofluidics. 2013;7:9. doi: 10.1063/1.4821923. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Autebert J, et al. High purity microfluidic sorting and analysis of circulating tumor cells: towards routine mutation detection. Lab Chip. 2015;15:2090–2101. doi: 10.1039/C5LC00104H. [DOI] [PubMed] [Google Scholar]
  • 36.Haun JB, et al. Micro-NMR for Rapid Molecular Analysis of Human Tumor Samples. Sci. Transl. Med. 2011;3:13. doi: 10.1126/scitranslmed.3002048. [DOI] [PMC free article] [PubMed] [Google Scholar]

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