<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">JBiSE</journal-id><journal-title-group><journal-title>Journal of Biomedical Science and Engineering</journal-title></journal-title-group><issn pub-type="epub">1937-6871</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/jbise.2014.712098</article-id><article-id pub-id-type="publisher-id">JBiSE-50797</article-id><article-categories><subj-group subj-group-type="heading"><subject>Review</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Biomedical&amp;Life Sciences</subject></subj-group></article-categories><title-group><article-title>
 
 
  Microfluidic Approaches for Cancer Cell Separation: Review
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>mer</surname><given-names>Osman Saeed</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Rui</surname><given-names>Li</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Yulin</surname><given-names>Deng</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>School of Life Science, Beijing Institute of Technology, Beijing, China</addr-line></aff><author-notes><corresp id="cor1">* E-mail:<email>omerphy2007@yahoo.com(MOS)</email>;</corresp></author-notes><pub-date pub-type="epub"><day>14</day><month>10</month><year>2014</year></pub-date><volume>07</volume><issue>12</issue><fpage>1005</fpage><lpage>1018</lpage><history><date date-type="received"><day>17</day>	<month>August</month>	<year>2014</year></date><date date-type="rev-recd"><day>3</day>	<month>October</month>	<year>2014</year>	</date><date date-type="accepted"><day>17</day>	<month>October</month>	<year>2014</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  This article reviews the recent developments in microfluidic technologies for 
  in vitro cancer diagnosis. We summarize the working principles and experimental results of microfluidic platforms for cancer cell detection, and separation based on magnetic activated micro-sorting, and differences in cellular biophysics (e.g., cell size and dielectrophoresis (DEP)).
 
</p></abstract><kwd-group><kwd>Microfluidic</kwd><kwd> Cancer Cell</kwd><kwd> Detentions</kwd><kwd> Separations</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Cancer is a class of diseases characterized by the uncontrolled growth of cells that ultimately invade surrounding tissues and metastasize to distant sites within the body [<xref ref-type="bibr" rid="scirp.50797-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.50797-ref2">2</xref>] . Early cancer detection is crucial for improved prognosis and cancer management due to the small tumor size and localization of the tumor at the primary site [<xref ref-type="bibr" rid="scirp.50797-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.50797-ref4">4</xref>] . Conventional cancer cell sorting techniques, which have been reviewed elsewhere [<xref ref-type="bibr" rid="scirp.50797-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.50797-ref6">6</xref>] including centrifugation, chromatography, and fluorescence and magnetic-activated cell sorting, are limited in yield and purity and further rely on the expertise and subjective judgments of highly skilled personnel. The small sample volumes, fast processing times, multiplexing capabilities, and large surface to volume ratios inherent in micro- fluidic systems [<xref ref-type="bibr" rid="scirp.50797-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.50797-ref8">8</xref>] offer new opportunities for cytology and cyto-pathology [<xref ref-type="bibr" rid="scirp.50797-ref9">9</xref>] - [<xref ref-type="bibr" rid="scirp.50797-ref18">18</xref>] particularly for in vitro cell sorting and detection [<xref ref-type="bibr" rid="scirp.50797-ref17">17</xref>] [<xref ref-type="bibr" rid="scirp.50797-ref19">19</xref>] - [<xref ref-type="bibr" rid="scirp.50797-ref25">25</xref>] . Leveraging these advantages, various microfluidic platforms have been developed for capturing rare cells including circulating tumor cells (CTCs), circulating fetal cells, and stem cells. Microfluidic sorting of rare cells has been reviewed elsewhere [<xref ref-type="bibr" rid="scirp.50797-ref26">26</xref>] - [<xref ref-type="bibr" rid="scirp.50797-ref29">29</xref>] .</p><p>In this review, we focus on the application of microfluidic systems for cancer cell detection and sorting. We first present the development and working principle of several key microfluidic platforms including those based on magnetic activated cell sorting [<xref ref-type="bibr" rid="scirp.50797-ref30">30</xref>] - [<xref ref-type="bibr" rid="scirp.50797-ref39">39</xref>] and differences in cellular biophysics (e.g., cell size [<xref ref-type="bibr" rid="scirp.50797-ref40">40</xref>] - [<xref ref-type="bibr" rid="scirp.50797-ref53">53</xref>] and dielectrophoresis (DEP) [<xref ref-type="bibr" rid="scirp.50797-ref54">54</xref>] - [<xref ref-type="bibr" rid="scirp.50797-ref89">89</xref>] . We discuss the performance and capabilities of each system in terms of throughput, yield, purity, cell viability, and the capability for on-chip post-processing after cancer cell capture.</p></sec><sec id="s2"><title>2. Magnetic activated micro-cell sorters</title><p>Magnetics based flow detection can enable several improvements in cytometry-based analyses. Magnetic detectors are extremely small (tens of micrometers) and rugged, representing an intriguing opportunity to reduce the size and complexity of cytometers for field-deployment. The small footprint also points to the potential to create highly multiplexed systems with hundreds of parallel channels and dramatically increase sample throughput. Magnetic activated cell sorting relies on the interaction between cell surface antigens and antibodies conjugated to suspended magnetic particles Compared to cell-affinity micro-chromatography, where the retrieval of captured cancer cells can be difficult, magnetic bead-based techniques readily permit the manipulation of captured cancer cells using local magnetic fields <xref ref-type="table" rid="table1">Table 1</xref>. Liu and Pang et al. demonstrated the first microfluidic device for isolating low abundance cancer cells from a red blood cell (RBC) suspension using magnetic cell separation <xref ref-type="fig" rid="fig1">Figure 1</xref>(A). In this system, a hexagonal array of nickel micro-pillars was integrated onto the bottom of a micro-fluidic channel and used to generate magnetic field gradients to efficiently trap super paramagnetic beads. The trapped magnetic beads functioned as a capture zone, followed by in situ chemical and biological modifications to functionalize the surface of beads with specific antibodies. Based on the interaction between the specific antibodies and N-acetylglucosamine on the cell membrane, A549 cancer cells spiked in RBCs were effectively captured and sorted on the microfluidic device with a capture rate between 62% and 74%. Antibody-coated magnetic beads were also used in a micro-fluidic device for the serial selection of cell subpopulations. As illustrated in <xref ref-type="fig" rid="fig1">Figure 1</xref>(B), this separation system consists of two separate compartments, each containing magnetic beads functionalized with different surface membrane protein receptors specific to prostate cancer cells (PSMA and CD10). As a cell suspension is introduced to the first array, the cells expressing CD10 are immobilized onto the magnetic beads while CD10 cells pass through this chamber and into the second compartment. PSMA+ cells bind to the magnetic beads located in the second compartment after which the remaining cells are flushed from the system. Thus, PSMA+/CD10 and CD10+ prostate cancer cell subpopulations can be isolated.</p><p>In order to further increase the surface-to-volume ratio of magnetic beads for cell sorting, Saliba and Viovy et al. developed a method using columns of bio-functionalized super-para-magnetic beads self-assembled in a microfluidic channel. In this system, a hexagonal array of magnetic ink was first patterned at the bottom of microfluidic channels. Beads coated with anti-bodies were then injected into the channel and allowed to settle down. Upon application of an external vertical magnetic field, the magentic beads assembled on top of the ink dots to form a regular array of columns.</p><p>Tests using cell line mixtures demonstrated a capture recovery rate greater than 94% and the capability to cultivate the captured cells on chip. Furthermore, clinical samples (blood, pleural effusion, and fine needle aspirates) from healthy donors and patients with B-cell hematological malignant tumors were analyzed in the microfluidic chamber. Lien and Lee reported Multi-functional, integrated microfluidic devices capable of cancer cell separation, cell lysis and genetic identification. This platform consisted of an incubation module where target cancer cells are selectively captured onto functionalized magnetic beads, a control module for sample transportation, and a nucleic acid amplification module for cell lysis and genetic identification <xref ref-type="fig" rid="fig1">Figure 1</xref>(C). Cancer cells (e.g., lung and ovarian carcinoma) were spiked into whole blood samples and loaded into the incubation chamber with pre-loaded magnetic beads coated with monoclonal antibodies. The cancer cells were specifically immobilized onto the surface of the magnetic beads with a recovery rate higher than 90%.</p></sec><sec id="s3"><title>3. Size-based cancer cell capture and separation</title><p>Differences in cell size can be exploited for microfluidic cancer cell selection without the knowledge of target cells’ biochemical characteristics. Size-based cell separation is attractive, for instance, for capturing CTCs since these cells are much larger than other cells found in whole blood <xref ref-type="table" rid="table2">Table 2</xref>. Mohamed et al. reported the first size-based microfluidic cancer cell separation device which featured on-chip micro-filters. The device consisted of four regions with decreasing channel widths (20 mm, 15 mm, 10 mm, and 5 mm) and a constant channel depth (20 mm). Cultured neuroblastoma cells mixed with whole blood were injected into the device where the 10 mm wide channels trapped the cancer cells. Zheng and Tai et al. developed a parylene membrane micro-filter device with circular holes (10 mm diameter) with a center to center distance between adjacent pores of 20 mm.</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Magnetic activated micro-cell sorters for cancer cell capture</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Cell capture structures</th><th align="center" valign="middle" >Targeted cells</th><th align="center" valign="middle" >Carrier medium and control cells</th><th align="center" valign="middle" >Target cell recovery rate</th><th align="center" valign="middle" >Capture purity</th></tr></thead><tr><td align="center" valign="middle" >A nickel micropillar array + magnetic beads functionalized with wheat germ agglutinin</td><td align="center" valign="middle" >Human lung cancer cells of A549</td><td align="center" valign="middle" >Human RBCs + culture medium</td><td align="center" valign="middle" >62% - 74%</td><td align="center" valign="middle" >93% (initial ratio A549:RBCs 1/4 1:10)</td></tr><tr><td align="center" valign="middle" >A paramagnetic array of 80% Ni and 20% Fe<sup>+</sup> magnetic beads complementary to anti-CD10 antibodies in chamber 1 and anti-PSMA antibodies in chamber 2</td><td align="center" valign="middle" >Human prostate cancer cells of LNCaP incubated with PSMA antibodies</td><td align="center" valign="middle" >LNCaP incubated with CD10 antibodies + PBS</td><td align="center" valign="middle" >50% - 70% of LNCaP incubated with PSMA antibodies in chamber 2</td><td align="center" valign="middle" >10% of LNCaP incubated with CD10 antibodies in chamber 2 (initial mixture ratio of 1:1)</td></tr><tr><td align="center" valign="middle" >External permanent magnet + magnetic beads coated with Anti-EpCAM (Ber-EP4)</td><td align="center" valign="middle" >Human ovarian cancer cells of BG-1 and lung cancer cells of AS2</td><td align="center" valign="middle" >Blood samples from healthy donors (10<sup>6</sup> cells per ml)</td><td align="center" valign="middle" >95.1% for BG-1 cells and 92.7% for AS2 cells</td><td align="center" valign="middle" >NA</td></tr><tr><td align="center" valign="middle" >An array of magnetic dots + self-assembled magnetic beads coated with anti-CD19 antibodies</td><td align="center" valign="middle" >Human lymphoma cells of Raji CCL-86</td><td align="center" valign="middle" >Human lymphoma cells of Jurkat TIB152 + PBS (2 &#215; 10<sup>6</sup> cells per ml)</td><td align="center" valign="middle" >97% &#177; 2% of Raji cells</td><td align="center" valign="middle" >&lt;2% (capture of Jurkat TIB152 cells)</td></tr><tr><td align="center" valign="middle" >An array of magnetic dots + self-assembled magnetic beads coated with anti-CD19 antibodies</td><td align="center" valign="middle" >B-cell hematological malignant tumors (leukemia and lymphoma)</td><td align="center" valign="middle" >Clinical samples (blood, pleural effusion, and fine needle aspirates) from chronic lymphocytic leukemia, mantle cell lymphoma, follicular lymphoma and two healthy volunteers</td><td align="center" valign="middle"  colspan="2"  >Consistent immunophenotype and morphology results with those obtained by flow cytometry</td></tr><tr><td align="center" valign="middle" >External permanent magnet + self-assembled magnetic bead patterns coated with 5D10 antibodies</td><td align="center" valign="middle" >Human breast cancer cells of MCF-7</td><td align="center" valign="middle" >Human lymphoma cells of Jurkat TIB152 + PBS (10<sup>6</sup>cells per ml for both MCF-7 and Jurkat cells)</td><td align="center" valign="middle" >85% &#177; 10% of MCF-7</td><td align="center" valign="middle" >&lt;5% (capture of Jurkat TIB152 cells)</td></tr><tr><td align="center" valign="middle" >A nickel micropillar array + magnetic beads functionalized with wheat germ agglutinin</td><td align="center" valign="middle" >Human lung cancer cells of A549</td><td align="center" valign="middle" >PBS</td><td align="center" valign="middle"  colspan="2"  >A total mass of 90.6 ng of captured A549 cells</td></tr><tr><td align="center" valign="middle" >External permanent magnet + Fe<sub>3</sub>O<sub>4</sub> magnetic nanoparticles conjugated to Anti-EpCAM</td><td align="center" valign="middle" >Human colon cancer cells of COLO205 and human breast cancer cells of SK-BR-3</td><td align="center" valign="middle" >Blood samples from healthy donors</td><td align="center" valign="middle" >90% and 86% for COLO205 and SK-BR-3 cells, respectively</td><td align="center" valign="middle" >NA</td></tr></tbody></table></table-wrap><p>The size difference between CTCs and human blood cells was exploited to test 57 blood samples from patients with metastatic prostate, breast, colon, or bladder cancer. The results demonstrated CTC capture and identification in 51 of 57 patients compared with only 26 patients in 57 patients using the cell membrane during the trapping process, and the device enabled via CTC conventional Cell Search method. However, this process resulted in low capture cell viability due to the large stresses that developed in the cell membrane during the cell capture process. Zheng and Tai et al. further developed a double-membrane device to decrease stresses experienced by capture <xref ref-type="fig" rid="fig2">Figure 2</xref>(A). In this device, a second porous membrane was incorporated below the first membrane. The por positions between the two membranes were intentionally misaligned. This bottom membrane provided support for the trapped cells to effectively reduce flow-induced stress on the cell membrane. Tan and Lim et al. developed a microfluidic device with multiple arrays of crescent-shaped wells <xref ref-type="fig" rid="fig2">Figure 2</xref>(B) to isolate cancer cells from spiked blood [<xref ref-type="bibr" rid="scirp.50797-ref68">68</xref>] and patient whole-blood samples. Gaps (5 mm) were made within each of the crescent-shaped traps to ensure the complete removal of other blood constituents due to their ability to traverse narrow constrictions. After cancer cell capture, a reverse flow was used to retrieve the captured cancer cells from the device. Isolation efficiencies higher than 80% were achieved for breast and colon cancer cell lines. In addition, this device was able to successfully detect and retrieve CTCs from the peripheral blood of patients with</p><fig id="fig1"  position="float"><label><xref ref-type="fig" rid="fig1">Figure 1</xref></label><caption><title> Magnetic activated micro-cell sorters. (A) Step by step illustration of the first magnetic activated micro-cell sorter for cancer cell capture. (B) Schematic of a microfluidic device for serial selection of cellular subpopulations by the use of antibody-coated magnetic beads. (C) An integrated magnetic-based cancer cell capture platform, consisting of an incubator for the magnetic beads to capture cancer cells, a control module for sample transportation, and a nucleic acid amplification module for cell lysis and genetic identification</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/6-9102062x5.png"/></fig><p>metastatic lung cancer. Di Carlo et al. utilized microscale laminar vortices combined with inertial focusing to selectively isolate and trap larger cancer cells spiked into whole blood while smaller blood cells were flushed out of the device <xref ref-type="fig" rid="fig2">Figure 2</xref>(C). Multiple micro scale laminar vortices were created on chip with processing rates as high as 7.5 &#215; 10<sup>6</sup> cells per second. The reported cell recovery rates for these devices were 23% for MCF-7 cells and10% for HeLa cells.</p></sec><sec id="s4"><title>4. Dielectrophoresis</title><p>Dielectrophoresis (DEP) uses the polarization of cells in non-uniform electrical fields to exert forces on cells. DEP forces depend on factors such as cell membrane and cytoplasm electrical properties as well as cell size.</p><fig id="fig2"  position="float"><label><xref ref-type="fig" rid="fig2">Figure 2</xref></label><caption><title> Microfluidic devices for cancer cell capture and separation based on cell size differences. (A) A 3D parylene membrane micro-filter. (B) A PDMS micro-filter with crescent-shaped isolation wells captured cancer cells. (C) A microdevice for trapping large cells and eluting small cells by combin- ing microscale laminar vortices with inertial focusing</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/6-9102062x6.png"/></fig><p>DEP devices have been developed for separating cancer cells <xref ref-type="table" rid="table3">Table 3</xref>, based on differences in cells’ response to electric fields [<xref ref-type="bibr" rid="scirp.50797-ref90">90</xref>] . Becker and Gascoyne et al. reported the first dielectric affinity column <xref ref-type="fig" rid="fig3">Figure 3</xref>(A) for cancer cell separation in which human leukaemia cells suspended within normal blood cells were retained on microelectrode arrays while normal blood cells were eluted [<xref ref-type="bibr" rid="scirp.50797-ref91">91</xref>] . The cancer cells were subsequently released for collection by the removal of the DEP field. Becker and Gascoyne et al. further demonstrated the applicability of this method for the separation of epithelial cancer cells (MDA-231 cells) from diluted blood and reported a recovery rate of 95% [<xref ref-type="bibr" rid="scirp.50797-ref92">92</xref>] [<xref ref-type="bibr" rid="scirp.50797-ref93">93</xref>] .</p><p>Gascoyne et al. proposed DEP flow-field fractionation (DEP-FFF) wherein DEP forces are generated to levitate suspended cells to different equilibrium heights within amicrofluidic chamber, based on variations of cells’ electrical properties [<xref ref-type="bibr" rid="scirp.50797-ref94">94</xref>] . The levitated cells are transported at different flow velocities upon the application of fluid flow <xref ref-type="fig" rid="fig3">Figure 3</xref>(B). Using this approach, human leukemic (HL-60) cells, 99, 106 MDA-435 cells, 101, 102 MDA-468 cells and MDA-231 cells 113 were successfully separated from background cell populations. To enhance sorting sensitivities, a 3D-asymmetric microelectrode setup was developed for cancer cell separation <xref ref-type="fig" rid="fig3">Figure 3</xref>(C). An alternative method for separating cancer cells has been demonstrated by combining multi-orifice flow fractionation (MOFF) with DEP.</p><p><xref ref-type="fig" rid="fig3">Figure 3</xref>(D), when cell samples were introduced through the inlet, most of the blood cells were separated via</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Cell size-based cancer cell separation microfluidic devices</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Cell capture structures</th><th align="center" valign="middle" >Targeted cells</th><th align="center" valign="middle" >Carrier medium and control cells</th><th align="center" valign="middle" >Target cell recovery rate</th><th align="center" valign="middle" >Capture purity</th></tr></thead><tr><td align="center" valign="middle" >Four successively narrower polyurethane channels</td><td align="center" valign="middle" >Human neuroblastoma cells</td><td align="center" valign="middle" >Human whole blood or isolated mononuclear cells in PBS</td><td align="center" valign="middle" >NA</td><td align="center" valign="middle" >NA</td></tr><tr><td align="center" valign="middle" >Glass based pool and dam structure</td><td align="center" valign="middle" >Human lung cancer cells of SPC-A-</td><td align="center" valign="middle" >Human blood from healthy donors (10<sup>6</sup> RBCs and 2 &#215; 10<sup>5</sup> cancer cells)</td><td align="center" valign="middle" >99.9%</td><td align="center" valign="middle" >NA</td></tr><tr><td align="center" valign="middle" >One-layer parylene-C membrane micro-filters</td><td align="center" valign="middle" >Human prostate cancer cells of LNCaP</td><td align="center" valign="middle" >Human blood samples from healthy donors (50 - 500 cell per ml)</td><td align="center" valign="middle" >89.5% &#177; 9.5%</td><td align="center" valign="middle" >NA</td></tr><tr><td align="center" valign="middle" >One-layer parylene-C membrane micro-filter</td><td align="center" valign="middle" >Human breast cancer cells of MCF-7, SK-Br-3, and MDA-231, bladder cancer cells of J82, T24 andRT4 and prostate cancer cells of LNCaP</td><td align="center" valign="middle" >Human blood samples from healthy donors (5 cells per ml)</td><td align="center" valign="middle" >96.5% (≥1 cells) and 64% (≥3 cells)</td><td align="center" valign="middle" >NA</td></tr><tr><td align="center" valign="middle" >One-layer parylene-C membrane micro-filter</td><td align="center" valign="middle" >CTCs</td><td align="center" valign="middle" >Blood samples from patients with metastatic prostate, breast, colon, or bladder cancer</td><td align="center" valign="middle" >CTC identification in 51 of 57 patient samples</td><td align="center" valign="middle" >NA</td></tr><tr><td align="center" valign="middle" >3D parylene-C membrane micro-filters</td><td align="center" valign="middle" >Human prostate cancer cells of LNCaP and breast cancer cells of MCF-7</td><td align="center" valign="middle" >Blood samples from health donors (~3 MCF-7 and ~100 LNCaP cells per ml)</td><td align="center" valign="middle" >86.5% &#177; 5.3%</td><td align="center" valign="middle" >NA</td></tr><tr><td align="center" valign="middle" >PDMS based crescent shaped isolation wells</td><td align="center" valign="middle" >Human breast and cancer cells of MCF-7 and MDA-231, colon cancer cells of HT-29</td><td align="center" valign="middle" >Blood samples from healthy donors (100 cancer cells per ml)</td><td align="center" valign="middle" >&gt;80%</td><td align="center" valign="middle" >&gt;80%</td></tr><tr><td align="center" valign="middle" >PDMS based crescent shaped isolation well</td><td align="center" valign="middle" >Human breast cancer cells of MCF-7 and MDA-231, gastric cancer cells of AGS and N87, hepatocellular cancer cells of HepG2 and HuH7, tongue cancer cells of CAL27 and pharynx cancer cells of FADU</td><td align="center" valign="middle" >PBS and whole blood samples from healthy donors (100 cancer cells per ml)</td><td align="center" valign="middle" >~80%</td><td align="center" valign="middle" >Mean value of 89%</td></tr><tr><td align="center" valign="middle" >PDMS based crescent shaped isolation wells</td><td align="center" valign="middle" >CTCs</td><td align="center" valign="middle" >Blood samples from patients with metastatic lung cancer</td><td align="center" valign="middle" >CTC identification in 5 of 5 patient samples</td><td align="center" valign="middle" >Mean value of 83%</td></tr><tr><td align="center" valign="middle" >Size-selective micro-cavity arrays made of nickel</td><td align="center" valign="middle" >Human lung cancer cells of NCI-H358, breast cancer cells of MCF-7, gastric cancer cells of AGS and SNU-1, and colon cancer cells of SW620</td><td align="center" valign="middle" >Blood samples from healthy donors (10 - 100 cancer cells per ml)</td><td align="center" valign="middle" >&gt;80%</td><td align="center" valign="middle" >NA</td></tr><tr><td align="center" valign="middle" >PDMS based dam structures + lectin cocanavalin A</td><td align="center" valign="middle" >Human leukemic cells of K562</td><td align="center" valign="middle" >Blood from healthy mice (10<sup>6</sup><sup> </sup>RBCs and 2 &#215; 10<sup>5</sup> K562 cells)</td><td align="center" valign="middle" >84%</td><td align="center" valign="middle" >NA</td></tr><tr><td align="center" valign="middle" >Polyurethane-methacrylate based lateral micro-filters with arrays of pillars</td><td align="center" valign="middle" >Human breast cancer cells of MCF-7 (fixed and unfixed)</td><td align="center" valign="middle" >Blood samples from healthy donors</td><td align="center" valign="middle" >~90% (fixed cancer cells) and~50% (unfixed cells</td><td align="center" valign="middle" >NA</td></tr><tr><td align="center" valign="middle" >Inertial flow in spiral micro-channels made of PDMS</td><td align="center" valign="middle" >Human neuroblastoma cells ofSH-SY5Y and rat glioma cells of C6</td><td align="center" valign="middle" >PCB</td><td align="center" valign="middle" >~80%</td><td align="center" valign="middle" >NA</td></tr><tr><td align="center" valign="middle" >PDMS based expansion- contraction reservoirs to produce micro-vortices</td><td align="center" valign="middle" >Human cervical cancer cells of HeLa and breast cancer cells of MCF-7</td><td align="center" valign="middle" >Blood samples containing leukocytes only (1:100 of cancer cells to leukocytes)</td><td align="center" valign="middle" >~23% (MCF-7) and~10% (HeLa)</td><td align="center" valign="middle" >7.1-fold enrichment for MCF-7 and 5.5-fold</td></tr><tr><td align="center" valign="middle" >PDMS based high aspect ratio rectangular micro-channels patterned with a contraction- expansion array</td><td align="center" valign="middle" >Human breast cancer cells of MCF-7</td><td align="center" valign="middle" >PBS and blood samples (500 MCF-7 cells per ml)</td><td align="center" valign="middle" >&gt;90% (MCF-7 in PBS) and ~80% (MCF-7 in blood samples</td><td align="center" valign="middle" >3.3 &#215; 10<sup>5</sup>-fold enrichment over RBCs and 1.2 &#215; 10<sup>4</sup>-fold enrichment over leukocytes</td></tr></tbody></table></table-wrap><fig id="fig3"  position="float"><label><xref ref-type="fig" rid="fig3">Figure 3</xref></label><caption><title> Microfluidic DEP devices for cancer cell separation. (A) A dielectric affinity column for cancer cell separation where large cancer cells are trapped on electrode tips while small blood cells are eluted. (B) DEP-FFF combines DEP, sedimentation and hydrodynamic forces to influence cell positions in the hydrodynamic flow profile. (C) A 3D-asymmetric microelectrode system for DEP cell separation, reproduced with permission. (D) A continuous separator integrates multi- orifice flow fractionation and DEP</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/6-9102062x7.png"/></fig><p>MOFF and extracted through outlet I while MCF-7 cells with residual blood cells (not fully separated) proceeded to the DEP separator. At the DEP separator, cancer cells exited through outlet II while the residual blood cells passed through outlet III. Since the DEP technique leverages differences in both cellular size and dielectric properties, it could potentially lead to a higher cancer cell separation yield and purity compared to micro-filtra- tion methods that are based on cell size differences only. However, in practice, due to the limited dielectric differences between target cells and carrier cells, this technique’s yield and purity are not as high as expected in <xref ref-type="table" rid="table3">Table 3</xref>. Among the detection techniques discussed in this review, on-chip DEP is the only technique that has not yet undergone verifications with clinical samples. Thus, an approach that utilizes a combination of multiple cell-capture methods may prove viable for improving the performance of cancer cell capture devices. For example, to improve device selectivity and cell-capture efficiency, one may envision a multi-module microfluidic system for cancer cell capture in which the first module performs high-throughput concentration and purification of target cells while a second module enables the selective capture of cancer cells. Such a device can be realized by integrating DEP with cell affinity micro-chromatography, such as for CTC detection. The DEP module would function as a pre-concentrator to increase the concentration of CTCs by flushing samples through channels patterned with electrodes. The concentrated samples would then enter the cell affinity micro-chromato- graphy module for high-purity CTC capture.</p></sec><sec id="s5"><title>5. Conclusion and outlook</title><p>This review summarized the working principles and experimental results of key microfluidic technologies for cancer cell separation and detection. These microfluidic devices are based on magnetic activated micro-cell sorting, size-based microfluidic separation, and dielectrophoresis. Despite the recent technological advances, the development of a single device capable of simultaneously achieving high throughput, high target cancer cell recovery, high purity, and high cell viability remains challenging. Magnetic activated cell sorting readily permits the manipulation of captured cancer cells by controlling local magnetic fields for post-capture processing. Lien and Lee et al. proposed a multi functional, integrated magnetic bead-based microfluidic device capable of cancer</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> DEP-based cancer cell separation microfluidic devices</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Cell capture structures</th><th align="center" valign="middle" >Targeted cells</th><th align="center" valign="middle" >Carrier medium and control cells</th><th align="center" valign="middle" >Target cell recovery rate</th><th align="center" valign="middle" >Capture purity</th></tr></thead><tr><td align="center" valign="middle" >An electrode affinity column with interdigitated micro-electrodes</td><td align="center" valign="middle" >Human leukemic cells of HL-60</td><td align="center" valign="middle" >Blood cells + sucrose solution</td><td align="center" valign="middle" >NA</td><td align="center" valign="middle" >~80% (initial mixture of 2 &#215; 10<sup>7</sup><sup> </sup>HL-60 and 3 &#215; 10<sup>7</sup> blood cells)</td></tr><tr><td align="center" valign="middle" >A dielectric affinity column with interdigitated micro-electrodes</td><td align="center" valign="middle" >Human breast cancer cells of MDA-231</td><td align="center" valign="middle" >Blood samples + sucrose solution</td><td align="center" valign="middle" >NA</td><td align="center" valign="middle" >~95% (initial mixture of 1 &#215; 10<sup>7</sup> MDA-231 and 3 &#215; 10<sup>7</sup> blood cells)</td></tr><tr><td align="center" valign="middle" >A dielectric affinity column with an interdigitated micro-electrodes</td><td align="center" valign="middle" >Human breast cancer cells of MDA-231</td><td align="center" valign="middle" >Blood samples + sucrose solution</td><td align="center" valign="middle" >&gt;95%</td><td align="center" valign="middle" >NA</td></tr><tr><td align="center" valign="middle" >A dielectric affinity column with reconfigurable electrodes</td><td align="center" valign="middle" >Human cervical cancer cells of HeLa</td><td align="center" valign="middle" >Human peripheral blood cells + sucrose solution</td><td align="center" valign="middle" >NA</td><td align="center" valign="middle" >NA</td></tr><tr><td align="center" valign="middle" >A dielectric affinity column with a micro-electrode array</td><td align="center" valign="middle" >Human monocytic cells of U937, lymphoma cells of Jurkat, HTLV-1, tax-transformed human T cells of Ind-2, glioma cells of HTB, and neuroblastoma cells of SH-SY5Y</td><td align="center" valign="middle" >Peripheral blood mononuclear cells + sucrose solution</td><td align="center" valign="middle" >47% - 79%</td><td align="center" valign="middle" >&gt;95%</td></tr><tr><td align="center" valign="middle" >DEP field flow fraction with interdigitated electrodes</td><td align="center" valign="middle" >Human leukemic cells of HL-60</td><td align="center" valign="middle" >WBCs from blood samples + sucrose solution</td><td align="center" valign="middle" >NA</td><td align="center" valign="middle" >NA</td></tr><tr><td align="center" valign="middle" >DEP field flow fraction with interdigitated electrodes</td><td align="center" valign="middle" >Human breast cancer cells of MDA-435</td><td align="center" valign="middle" >Hematopoietic CD34+ stem cells + sucrose solution</td><td align="center" valign="middle" >NA</td><td align="center" valign="middle" >&gt;99% (initial MDA-435: stem cells = 2:3)</td></tr><tr><td align="center" valign="middle" >DEP field flow fraction with interdigitated electrodes</td><td align="center" valign="middle" >Human breast cancer cells of MDA-435</td><td align="center" valign="middle" >Blood samples + sucrose solution</td><td align="center" valign="middle" >NA</td><td align="center" valign="middle" >&gt;98% of MDA-435 (initialMDA-435: blood cells = 2:3)</td></tr><tr><td align="center" valign="middle" >DEP field flow fraction with interdigitated electrodes</td><td align="center" valign="middle" >Human breast cancer cells of MDA-435, MDA-468 and MDA-231</td><td align="center" valign="middle" >Peripheral blood mononuclear cells + sucrose solution</td><td align="center" valign="middle" >&gt;90%</td><td align="center" valign="middle" >NA</td></tr><tr><td align="center" valign="middle" >Microscope slides coated with electrode arrays with changing frequencies</td><td align="center" valign="middle" >Human breast cancer cells of MDA-435 and leukemic cells of HL-60</td><td align="center" valign="middle" >Blood samples + sucrose</td><td align="center" valign="middle" >NA</td><td align="center" valign="middle" >NA</td></tr><tr><td align="center" valign="middle" >Microscope slides coated with electrode arrays with changing frequencies</td><td align="center" valign="middle" >Cancer cells from biopsy</td><td align="center" valign="middle" >Biopsied cells + sucrose solution</td><td align="center" valign="middle" >NA</td><td align="center" valign="middle" >NA</td></tr><tr><td align="center" valign="middle" >3D-asymmetric micro-electrodes with a continuously varied electric field</td><td align="center" valign="middle" >Mouse P19 embryonic carcinoma cells</td><td align="center" valign="middle" >Mouse RBCs + PBS</td><td align="center" valign="middle" >NA</td><td align="center" valign="middle" >81.5% &#177; 7.6% of P19 EC and 94.1% &#177; 4.3% RBCs (initial ratio 1:1)</td></tr><tr><td align="center" valign="middle" >3D-asymmetric micro-electrodes with a continuously varied electric field</td><td align="center" valign="middle" >Human breast cancer cells of MCF-7 and MCF-10A</td><td align="center" valign="middle" >PBS</td><td align="center" valign="middle" >86.67% of MCF-7 and 98.73% of MCF-10A</td><td align="center" valign="middle" >NA</td></tr><tr><td align="center" valign="middle" >DC-dielectrophoresis</td><td align="center" valign="middle" >Fixed WBCs and human breast cancer cells of MCF-7</td><td align="center" valign="middle" >Trehalose solution</td><td align="center" valign="middle" >NA</td><td align="center" valign="middle" >NA</td></tr><tr><td align="center" valign="middle" >Guided DEP with a pair of planar electrodes</td><td align="center" valign="middle" >Human leukemic cells of Jurkat and cervical cancer cells of HeLa</td><td align="center" valign="middle" >Sucrose solution</td><td align="center" valign="middle" >NA</td><td align="center" valign="middle" >NA</td></tr><tr><td align="center" valign="middle" >Planar interdigitated Microelectrodes</td><td align="center" valign="middle" >Clones of mouse melanoma B16F10 cells</td><td align="center" valign="middle" >Sucrose solution</td><td align="center" valign="middle" >NA</td><td align="center" valign="middle" >NA</td></tr><tr><td align="center" valign="middle" >A planar electrode pair with an angle to the flow direction</td><td align="center" valign="middle" >Human colorectal cancer cells of HCT116 and embryonic kidney cells of HEK 293</td><td align="center" valign="middle" >PBS</td><td align="center" valign="middle" >NA</td><td align="center" valign="middle" >95% of HCT116</td></tr></tbody></table></table-wrap><p>cell separation, cell lysis, and genetic identification. Microfiltration methods also permit easy retrieval of captured cancer cells, as demonstrated by Tan and Lim et al., using a reverse flow to release captured cancer cells in multiple arrays of crescent-shaped wells. However, on-chip post-capture processing capabilities have yet to be developed.</p><p>However, existing systems are only capable of processing small numbers of cells within a reasonable time frame. For example, the total number of cells tested by the optical stretcher was 36 for MCF-10, 26 for MCF-7, and 21 for Mod-MCF-7.81. Reported electrical impedance spectroscopy differences of head and neck cancer cell lines with different metastatic potentials (686LNvs.686LN-M4e) were also based on the testing of low sample numbers (n = 72 for the 686LN-M4e cell and n = 57 for the 686LN cell). Furthermore, most microfluidic devices to date have been only capable of characterizing a single biophysical parameter.</p><p>The broad spectrum of cell separation technologies described in this review illustrates the high level of interest and activity in this area. The described size based approaches offer a great potential for separation of cell subpopulations for which specific markers are not known or cannot be used (e.g., to prevent cell activation). Affinity-based approaches (magnetic and electrophoretic) can be employed for fast (~minutes) and continuous separation with high specificity (~99%). For all of the approaches, the design of the devices is such that they can be operated in a massively parallel fashion to increase scale and throughput without compromising purity and efficacy; although each technique has some limitations e.g. in sized based, the probability of cells damages is high and it is considered as nonspecific technique. The magnetic activated micro-cell sorters are easy to develop but the time required for screening the tumor is relatively long. Regarding DEP, the need to control precisely laminar flow conditions and the electric field frequencies is a more critical point. A challenge for microfluidic cancer cell’s biophysical characterization is existing devices that have low sample throughput. To obtain clinically relevant information, these devices must be able to measure biophysical properties of a large number of cells with true high throughputs.</p></sec><sec id="s6"><title>Acknowledgements</title><p>This work was done by the Nanotechnology Research Group in School of Life Science, Beijing Institute of Te- chnology.</p></sec></body><back><ref-list><title>References</title><ref id="scirp.50797-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Ruddon, R.W. and Ebrary Inc. 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