Table 1.
Summary of selected microfluidic systems used in breast cancer research.
Reference | Cell Used | Culture Type | Field of Investigation |
Device Properties | Findings |
---|---|---|---|---|---|
Cheng [19] |
Acellular | 2D | Cancer formation | Extract cell-free DNA from plasma to detect BRCA1 and BRCA2 mutations. | Successful detection of BRCA1/2 mutations with a minimum detectable number of copies of 20,000. |
Uses four distinct primers in parallel to provide point of care risk assessment. | |||||
Dimensions not described, no ECM used, utilizes pressure differential pumping. | |||||
Pradhan [20] |
MCF7 and MDA-MB-231 cancer, hBTEC endothelial, BJ5ta fibroblast | 3D | Cancer formation | Two distinct chips with normo- and pathophysiologic vascular layout, respectively, used to assess anti-cancer drug delivery and tumor reaction to treatment. | Cells found to elongate and align along flow, dependent on the cell line. |
Model of cancer–stromal–endothelial interactions within a pillar-filled tumor region adjacent to vessels. | MCF7 found to have significant resistance to anti-cancer drug paclitaxel in low-perfusion chip design. | ||||
100 μm channel width, PEG–fibrinogen hydrogel matrix, high perfusion layout experiences 40–50 s−1 shear rate, low perfusion chip experiences 10–20 s−1 shear rate. | Both MCF7 and MDA-MB-231 found to have significant resistance to anti-cancer drug doxorubicin in low-perfusion chip design. | ||||
Ayuso [21] |
MCF10A cancer, HMF fibroblasts | 3D | Cancer formation | Ductal carcinoma in situ in a central vessel surrounded by stroma-filled matrix between two empty channels for perfusion, metabolism, mobility, and gene expression investigation. | Hypoxia-activated Tirapazamine selectively destroys DCIS cells. |
Breast cancer cells, fibroblasts, and hydrogel model of luminal mammary duct. | Hypoxia-activated glycolysis transcriptome upregulation. | ||||
Dimensions not described, collagen hydrogel, static conditions with daily media change. | |||||
Funamoto [22] |
MDA-MB-231 cancer | 3D | Cancer formation | Five-channel chip with central tumor model, surrounded by two media perfusion channels, which are, in turn, surrounded by two gas perfusion channels. | Hypoxia found to significantly increase cancer mobility. |
Breast cancer cells in 3D culture with controlled oxygen perfusion to investigate hypoxia effects. | |||||
1.3 mm tumor channel width, 0.5 mm media and gas channel widths, collagen I hydrogel, 30 μL/h flow. | |||||
Tang [23] |
MDA-MB-231 and MCF-7 cancer, primary human-breast-tumor-associated endothelial cells | 3D | Cancer formation | Microfluidic chip modeled on 2D projection of tumor vasculature to investigate enhanced permeability and retention (EPR) found in tumors. | TNF-α found to significantly increase the permeability of endothelial cells. |
Breast cancer and endothelial cell biomimetic tumor microenvironment. | Tumor cell co-culture significantly increases the permeability of endothelial cells. | ||||
100 μm channel width, fibronectin ECM, 60 uL/h or 0–90 s−1 shear rate. | Liposome extravasation through endothelial cells found to significantly increase during tumor co-culture. | ||||
Nashimoto [24] |
MCF-7 and GFP MDA-MB-231 cancer, RFP HUVECs, normal human lung fibroblasts, SW620 with luciferase, Hepg2 | Spheroids | Cancer formation | 2 or 3 cell type co-culture spheroids of various cancers in 96-well plate transferred into microfluidic chip for angiogenesis. | Fibroblast co-culture induced angiogenic sprouts. |
1 mm width culture channel, fibrin-collagen matrix, 30 μL/h. | Flow reduces anti-cancer drug paclitaxel efficacy and leads to less necrotic tumors. | ||||
Uliana [32] |
Acellular | 2D | Cancer formation | Disposable microfluidic electrochemical array device to detect estrogen receptor alpha (ERα). | USD 0.20 cost of manufacture. |
Highly decorated magnetic particles and protein–DNA interaction detected using electrodes to quantify cancer signals. | Ultralow detection limit of 10.0 fg mL−1 for the determination of ERα in calf serum. | ||||
3 mm wide and 200 mm long, no ECM, 6000 μL/h. | Good recoveries for detection of the biomarker in MCF-7 cell lysate. | ||||
Moon [44] |
MCF-7, MDA-MB-231, and SUM-159PT cancer | 3D | Cancer formation | Hydrogel tube seeded with breast cancers to quantify breast cancer subtype motility. | SUM-159PT found to be most invasive cell line. |
500 μm diameter, collagen I hydrogel, static conditions. | CD24 expression was elevated in 3D compared with 2D cultures. | ||||
Yong [45] |
SUM149, HCC1937, MDA-MB-231, and BT549 cancer | 3D | Cancer formation | A hydrogel channel with two perfused vessels, one seeded with breast cancer cells to quantify the directional migration of cancer cell lines. | MDA-MB-231 found to be most invasive. |
200 μm diameter, collagen hydrogel, static conditions. | 305 genes identified as altered during invasion. | ||||
Wang [251] |
SK-BR-3 cancer, HEK293FT cells, human T cells, Jurkat cells | Suspended cells | Cancer formation | A pair of chips, one that generates droplets containing cells and antibodies or lentivirus, another that electrically sorts droplets based on fluorescence. | CD40 antibody developed. |
Continuous flow droplet-based lentivirus transduction and antibody screening. | Active anti-Her2 × anti-CD3 BiTE antibodies developed using antibody library. | ||||
40 μm deep channels, no ECM used, 600–1800 μL/h. | |||||
Sung [46] |
MCF-DCIS.com cancer cells, GFP Human mammary fibroblasts | 3D | Invasion | Mammary endothelial and fibroblast cells co-cultured in Y-shaped compartmentalized model. | Co-culture promotes invasion, diminishing as distance between cell types increases |
Second harmonic collagen imaging provides an index of transition to invasion. | Soluble factors shown to begin migration, while cell–cell contact between cancer and stromal cells completed the transition to invasion. | ||||
1.5 mm width, Matrigel and collagen I matrix, static culture. | |||||
Lam [47] |
RFP MDA-MB-231, skin fibroblasts | 3D | Invasion | Two parallel 3D models with breast cancer and fibroblast co-cultures to study the role of acidity in the transition to invasion. | Calcium bicarbonate buffer nanoparticles inhibit acid-induced invasion. |
Channels between 200–1000 μm wide, fibrin hydrogel, 36 μL/h | Buffering selectively inhibited the growth of the MDA-MB-231. | ||||
Toh [48] |
MX-1, MCF7 cancer | 3D | Invasion | Tumor cells encased in collagen exposed to flowing chemoattractant signals on either side. | Cells found to exhibit collective, amoeboid, and mesenchymal-like motility. |
Real-time monitoring of cell extravasation | Distinct populations of collagen-penetrating invasive cancer cells and collagen-avoidant migratory cancer cells identified. | ||||
1 cm long, 600 μm wide, and 100 μm tall, positively charged collagen and a negatively charged HEMA-MMA-MAA terpolymer matrix, 30 μL/h. | |||||
Yankaskas [49] |
ZR75-1, MDA-MB-468, MDA-MB-436, Hs578t, BT-549, and MDA-MB-231 cancer cells, MCF-10A, T47, and human mammary epithelial cells, and HCC1428 | 3D | Invasion | Continuous flow of breast cancer cells near parallel apertures through which chemoattractants diffuse to induce migration. | Identified motility- and survival-related genes. |
Quantifies extravasation potential, abundance, and proliferative index of breast cancer cell subtypes. | MDA-MB-231 found to be most migratory. | ||||
Width of 20 µm and a height of 10 µm, collagen matrix, flow not specified. | Self-sorted migratory cells found to be significantly more proliferative and preferentially localize to bone in comparison with non-sorted cells. | ||||
Gioiella [50] |
MCF7 cancer cells, normal and cancer activated fibroblasts | 3D | Invasion | Breast cancer tumor model using epithelial and stromal cell co-culture. | Hyaluronic acid and fibronectin overexpression are associated with invasion |
Macromolecule and collagen production quantified. | Fibroblasts significantly lose diffusivity when activated by nearby tumor cells. | ||||
370 μm long, 780 μm wide, 300 μm deep, other channel is 1200 μm long, 1370 μm wide, 300 μm deep, crosslinked type A porcine-derived gelatin matrix, 180 µL/h. | |||||
Mosadegh [51] |
A549 | 3D | Invasion | Stacked paper seeded with hydrogel and cancer cells, used to examine hypoxia-induced migration. | Oxygen acts as a chemoattractant for cancer cells. |
No channels, Matrigel matrix, no perfusion. | Distinct rates of oxygen chemotaxis between cell lines. | ||||
Lugo-Cintron [53] |
MDA-MB-231 cancer cells, normal and cancer activated fibroblasts | 3D | Invasion | Large channel containing fibroblasts in microenvironment with a central channel seeded with breast cancer cells. | Fibronectin-rich matrix associated with increased migration. |
3D breast cancer and fibroblast tumor model to visualize invasion. | MMP secretion associated with increased migration. | ||||
400 μm wide central channel, rat-tail collagen type I, fibronectin, and fibrin matrix, static culture. | |||||
Buchanan [72] |
MDA-MB-231 cancer cells, telomerase immortalized microvascular endothelial (TIME) cells | 3D | Intravasation | Microchannel embedded within a collagen hydrogel as a vessel model with shear quantified using microparticle image velocimetry. | Tumor cells significantly increase the expression of proangiogenic genes in response to co-culture with endothelial cells under low flow conditions. |
Microfluidic tumor vascular model for co-culture of tumor and endothelial cells under varying flow shear stress conditions | Endothelial cells develop a confluent endothelium on the microchannel lumen that maintains integrity under physiological flow shear stresses. | ||||
850 μm diameter, Collagen 1 matrix, 180 μL/h. | |||||
Choi [73] |
Human primary mammary fibroblasts, HMT-3522 cells | Spheroids, 3D | Intravasation | Intravasation model using a two-channel stroma and endothelial co-culture device later seeded with human mammary ductal epithelial cells and mammary fibroblasts co-culture breast tumor spheroids. | Paclitaxel anti-cancer drug shown to inhibit progression through cytotoxicity. |
Visualization of attachment and intravasation. | |||||
1 mm wide, 3 mm long, and 200 μm tall, collagen hydrogel, 60 μL/h. | |||||
Nagaraju [76] |
MDA-MB-231 and MCF7 cancer cells, HUVECs | 3D | Intravasation | Chip with distinct tumor, stroma, and vascular channels to model invasion and intravasation into media-filled vascular channel. | Endothelial cells significantly increase the migration of tumor cells. |
200 μm wide channel, collagen matrix, flow rate not specified. | Tumor signaling significantly reduces vessel diameter and increases endothelial permeability. | ||||
Absence of endothelial cells significantly alters the secretion of ANG-2 and angiogenin. | |||||
Zervantonakis [71] |
MDA231 cancer cells, HT1080 fibroblasts | 3D | Intravasation | Three-channel tumor model with an endothelial channel and a tumor channel separated by a cell-free 3D ECM channel to model intravasation towards endothelial cells. | Macrophage-secreted tumor necrosis factor alpha significantly increases intravasation rate. |
500 μm wide, 20 mm in length, and 120 μm in height, collagen matrix, flow not specified. | Endothelium provides a barrier to intravasation, regulated by tumor microenvironment factors. | ||||
Cui [75] |
MDA-MB-231 cancer cells, primary human vascular endothelial cells | 3D | Intravasation | 32 independent cell collection microchambers with endothelial layer for characterization of trans-endothelial migration. | Migratory cancer cells significantly alter Palladin expression, F-actin orientation, and cell aspect ratio. |
4 mm by 4 mm chip, poly-D-lysine and fibronectin matrix, 1200 µL/h. | Different cancer lines show significantly distinct sensitivity to shear stress impact on trans-endothelial migration | ||||
Shirure [77] |
MDA-MB-231 and MCF-7 cancer cells, Endothelial colony forming cell-derived endothelial cells, normal human lung fibroblasts, colorectal cancer cell line Caco-2 | 3D and Spheroid | Intravasation | Two tumor model chambers separated by one fibroblast and endothelial cell vascular model chamber to model arterial capillary intravasation. | VEGF and TGFβ significantly elevated during intravasation and migration. |
355 μm wide, fibrin matrix, 10 mm H2O pressure head. | Tumor cells expressing mesenchymal-like transcriptome invade into vascular chamber significantly more efficiently. | ||||
Jiang [146] |
Lung, breast, and melanoma cancer blood samples | Suspended cells | Circulating signals and cells | Chip using deterministic lateral displacement to enrich platelet-CTC aggregates in conjugation with platelet antibodies for isolation. | 60% reliable isolation of breast cancer CTC clusters. |
24 parallel channels that are 150 μm in depth, no ECM, 1000 μL/h. | |||||
Au [147] |
Primary breast cancer CTCs and CTC clusters | Suspended cells | Circulating signals and cells | Two-stage continuous isolation of CTC clusters using asymmetry induced rotation. | 2–100+ cells recovered from whole blood. |
99% recovery of large clusters, cell viability over 87%. | |||||
Deliorman [149] |
PC3 human prostate cancer cell line | Suspended cells | Circulating signals and cells | Surface-bound antibodies for EpCAM, PSA, and PSMA to isolate CTCs for AFM measurements. | CTCs from metastatic cancer have decreased elasticity and increased deformability compared with tumor cells. |
900 μm wide, 85 μm deep, and 48 mm long, no ECM, 1200 μL/h. | Fewer multiple adhesion events in CTCs compared with tumor cells. | ||||
Sarioglu [158] |
MDA-MB-231 | Suspended cells | Circulating signals and cells | Detection of CTCs independent of tumor-specific markers using bifurcating traps under low-shear conditions. | 30–40% successful detection of CTC clusters. |
4096 parallel 60 μm wide traps, no ECM, 2.5 mL/h. | RNA sequencing identifies macrophages within CTC clusters are tissue-derived from the primary site. | ||||
de Oliveira [163] |
Acellular | Suspended cells | Circulating signals and cells | CTC detection using double-layer capillary capacitors to quantify CA 15-3. | 5µL sample volume and 92.0 μU mL−1 detection limit. |
Antibody-anchored magnetic bead capture of CTCs for analysis. | USD 0.97 cost of manufacture. | ||||
800 μm outer diameter, 545 μm inner diameter, 200 μm electrode gap, no ECM, no flow. | |||||
Marrella [159] |
MDA-MB-231 | Suspended cells | Circulating signals and cells | Multi-channel device simultaneously analyze correlation between shear stress and CTC cluster behavior. | Higher values of wall shear stress significantly correlated with decreased CTC viability to metastasize. |
1 mm wide and 120 mm long, no ECM, 0–20 dyne/cm2. | High shear stress significantly disaggregates CTC clusters within 6 h. | ||||
Regmi [160] |
MDA-MB-231 and UACC-893 cancer cells, lung cancer A549, ovarian cancer 2008, leukemia K562 cells | Suspended cells | Circulating signals and cells | Microfluidic circulatory system to produce relevant shear stress levels on CTCs and CTC clusters to investigate disaggregation under shear. | 60 dynes/cm2 during exercise leads to necrosis or apoptosis in 90% of CTCs after 4 h of circulation, significantly more than 15 dynes/cm2. |
1mm diameter tube, no ECM, 15–60 dyne/cm2. | High shear significantly reduces metastatic potential and drug resistance of breast cancer cells. | ||||
Uliana [32] |
MCF-7 cells, a human breast cancer cell line | Suspended cells | Circulating signals and cells | Disposable microfluidic electrochemical arrays using electrode-bound DNA and antibody-conjugated magnetic beads to detect estrogen receptor alpha in plasma. | 10.0 fg mL−1 detection limit. |
1.5 mm diameter electrode, no ECM, 6000 μL/h. | 94.7–108% recovery of estrogen receptor alpha. | ||||
USD 0.20 cost of manufacture. | |||||
Vaidyanathan [187] |
BT-474 and MDA-MB-231 cancer cells, PC3 prostate cancer cells | Suspended cells | Circulating signals and cells | Multiplexed electrohydrodynamic detection of exosome targets in a chip. | Isolation of exosomal samples from HER2 and prostate-specific antigen. |
400 μm wide, 300 μm tall, 25 mm length, no ECM, 420 μL/h. | 8300 exosomes/µL detection sensitivity. | ||||
Gao [191] |
Acellular | Suspended cells | Circulating signals and cells | Multiple detections of miRNAs from multiple samples using three-segment hybridization detection in a microfluidic chip. | Successful detection of four breast cancer biomarker miRNAs. |
50 independent channels on a 25 by 75 mm2 chip, no ECM, flow not described. | Detection limit of 1 pM in 30 min. | ||||
Armbrecht [110] |
MCF-7, SK-BR-3, and BR16 cancer cells, LM2 variant cell line | Suspended cells | Organotropism and extravasation | Integrated capture, isolation, and membrane analysis of CTCs in a chip. | 95% isolation efficiency, granulocyte growth-stimulating factor detection efficiency at 1.5 ng/mL−1. |
30 independent 75 μm width chambers, no ECM, 12 μL/h. | |||||
Park [111] |
MCF-7 and MDA-MB-231 cancer cells, HL-60 promyelocytic leukemia cell line | Suspended cells | Organotropism and extravasation | Inertial-force-assisted droplet generation using spirals to generate CTC clusters with known cell type ratios. | E-cadherin, VCAM-1, and mRNA expression characterized between cluster compositions. |
140 μm width and five-loop structure, no ECM, 1200 μL/h. | |||||
Riahi [113] |
MDA-MB-231 cancer cells, HUVECs, human mammary epithelial cells, MCF7 | Suspended cells, 3D | Organotropism and extravasation | Organ-specific extravasation of CTCs through an endothelial layer using localized chemokine gradients in a chip. | CXCL12 found to significantly increase extravasation. |
150 μm by 500 μm by 3 cm, Matrigel matrix, 50 μL/h. | |||||
Aleman Sarkal [114] |
HUVECs, HCT-116 colorectal cancer, HEPG2, A549 | Suspended cells, 3D | Organotropism and extravasation | Organ-specific extravasation of CTCs modeled using bioengineered 3D organoids of five different tissues. | HCT115 CRC cells preferentially extravasate into liver and lung cells, as seen in vivo. |
200 μm width, HA/gelatin matrix, 600 μL/h. | |||||
Song [115] |
MDA-MB-231, MCF-10A, and MCF-7 cancer cells, HUVECs, normal human lung fibroblasts | Suspended cells, 3D | Organotropism and extravasation | Microvascular network model to quantify the extravasation of breast cell lines in distinct oxygen conditions. | HIF-1a confirmed through knockout and siRNA to significantly increase the transmigration capacity in breast cell lines and regulate apoptotic-related cellular processes. |
1 mm wide and 150 µm deep, fibrin matrix, static conditions. | In hypoxia, HIF-1a levels increased alongside changes in morphology and an increase in cancer viability and metastatic potential. | ||||
Marturano-Kruik [116] |
GFP MDA-MB-231, Firefly MDA-MB-231, HUVECs, human bone marrow mesenchymal stem cells | 3D | Organotropism and extravasation | Perfused bone perivascular niche on a chip to measure progression and drug resistance during metastasis. | Bone-marrow-derived mesenchymal stem cells shown to transition towards perivascular cell lineages and support capillary formation. |
Dimensions not shown, decellularized bone ECM matrix, 15 μL/h. | Interstitial flow within bone perivascular niche persists with low proliferation and high drug resistance. | ||||
Jeon [117] |
MDA-MB-231 cancer, GFP HUVECs, human bone marrow mesenchymal stem cells | 3D | Organotropism and extravasation. | Microfluidic bone, vascular, and myoblast model to analyze breast cancer organotropism. | Extravasation rate and permeability found to be significantly distinct between bone, myoblast, and unconditioned matrix models. |
1.3 mm wide and 200 μm deep, fibrin ECM, 120 μm/h. | A3 adenosine receptor disruption resulted in significantly higher extravasation rates to myoblast-containing matrix | ||||
Bersini [118] |
GFP MDA-MB-231 cancer, RFP HUVECs, human bone marrow mesenchymal stem cells | 3D | Organotropism and extravasation | Osteo-differentiated bone marrow-derived mesenchymal stem cells and endothelial cell bone microenvironment model of organotropism of breast cancer CTCs in a chip. | CTCs extravasated into the bone model 77.5% of the time at a distance of 50.8 µm, compared with 37.6% of the time at a distance of 31.8 µm into collagen control. |
Eight parallel 225 µm by 150 µm gel regions, collagen hydrogel ECM, static conditions. | Bone secreted signals CXCR2 and CXCL5 found to influence extravasation rate and travel distance. | ||||
Mei [119] |
MDA-MB-231 cancer cells, HUVECs, MLO-Y4 osteocytes, RAW264.7 osteoclasts | 3D | Organotropism and extravasation | Breast cancer, endothelial cell, and osteocyte-like cell model of bone extravasation using oscillatory shear in a chip. | 3.71-fold increase in calcium response in 82.3% of osteocytes compared to continuous flow. |
1 mm by 200 μm static channel in addition to a 500 μm by 500 μm vascular model. Channel, collagen, and Matrigel matrix, 1.5 Pa wall shear stress. | Mechanical stimulation reduced extravasation distance 32.4% and frequency by 53.5%. | ||||
Xu [120] |
MDA-MB-231 and M624 cells cancer, primary rat brain microvascular endothelial cells (BMECs), primary rat cerebral astrocytes | 3D | Circulating signals and cells | Blood–brain barrier model in a chip. | Cancer cell and astrocyte interactions increase brain tumor migration between brain and vascular compartments. |
200 μm by 400 μm, collagen matrix, 0.1 dyne/cm2 and 60 μL/h. | |||||
Liu [270] |
MCF-7 and MCF-7adm cancer | 3D | Treatment | Five parallel gradient-generating networks on a chip using dam and weir structures for cell positioning and seeding to investigate anti-cancer drugs. | GSH levels of two breast cancer cell lines were reduced during arsenic trioxide treatment, resulting in increased chemotherapy sensitivity, and vice versa was found with N-acetyl cystine. |
2 mm by 1 mm by 30 μm, no ECM, 20 μL/h. | |||||
Parekh [275] |
MDA-MB-231 | Suspended particles | Treatment | Single breast cancer cell selection, drug loading, and fluorescence measurement on a chip. | Cyclosporine A found to greatly increase the cellular uptake of anti-cancer drugs by reducing drug efflux. |
30 mm by 30 mm chip, no ECM, no flow. | |||||
Sarkar [271] |
MCF-7 | Suspended particles | Treatment | Droplet docking microfluidic microarray to encapsulate single cells to investigate anti-cancer drug influx, efflux, and cytotoxicity. | Confirmation of previous findings and further classification of drug resistance between breast cancer cell lines. |
No dimensions given, no ECM, no flow. | Observed increased drug resistance during the homotypic fusion of cell-sensitive and resistant cell types within droplets. | ||||
Zhang [244] |
2A4 hybridoma cells | Suspended particles | Treatment | Integrating chip for screening heavy and light chain combinations in antibodies using single-cell trapping, qPCR, and fluorescence to quantify specificity. | Anti-CD45 monoclonal antibodies identified using hybridoma cells. |
50 μm width, no ECM, 180 μL/h. | |||||
Cheng [233] |
T47D and BT549 cancer, primary HUVECs | Spheroids | Treatment | Isolated tumor spheroids trapped next to endothelial cell vascular tissue model to analyze nanoparticle drug delivery systems. | The nanoparticle drug Ds-PEG-FA/DOX found to penetrate spheroids of BT549 cancer but not T47D. |
300 μm long, 200 μm wide, 100 μm deep, basement membrane extract matrix, flow rate not specified. | |||||
Qi [273] |
MDA-MB-231 and MDA-MB-231/MDR | Subcellular and 2D | Treatment | Antibody-laden pillars for the specific capture of exosomes for isolation. | CD63-laden exosomes isolated at 70% efficiency. |
4 mm channel length, no ECM, 600 μL/h. | Drug content of isolated exosomes found to be significantly different between cell lines and between treatments. | ||||
Qiao [257] |
A549 Human lung adeno-carcinoma, HEK293T human kidney cell line | Suspended particles | Treatment | Microfluidic encapsulation of oncolytic adenovirus and the BET bromodomain inhibitor JQ1 within PVA microgels for injection into tumors. | Found to extend persistence and accumulation of oncolytic adenovirus within tumors. |
Device dimensions not specified, no ECM, flow rate not specified. | PVA microgels inhibited PD-L1 expression to overcome immune suppression. | ||||
Ide [252] |
BW5147 (H2k), JCRB9002, and BW5147 | Suspended cells | Treatment | Lymph node and T cell–APC interaction model for cell collection and analysis. | Calcium ion flux fluorescent dye in T cells used as metric of activation during serial contact with APCs. |
20 μm well diameter, no ECM, 4200 μL/h. | T cell activation during contact with OVA 257–264 peptide presenting quantified APCs. | ||||
Lou [239] |
Bone marrow cells | Suspended particles | Treatment | Tunable liposome formation in a microfluidic channel. | Cationic liposomes of 50–750 nm composed of combinations of tailored phospholipid ratios. |
Hydrodynamic focusing cartridges of 10 and 65 µm width, no ECM, 900 mL/h. | Macrophage liposome uptake is modulated by area and volume, and biodistribution in mice showed that <50 nm particles increase clearance rate. | ||||
Liu [240] |
HeLa | 3D | Treatment | Continuous flow co-precipitation of polymers to produce injectable “nanosystems”. | Nanosystem loaded with photosensitive zinc successfully localized to cancer cells to enable photodynamic therapy. |
200 μm wide and 45 μm deep, no ECM, 7200 μL/h. | |||||
Lee [259] |
MRC5 fibroblasts, human lung cancer A549 cells | Spheroid | Treatment | Cancer, fibroblast, and endothelial spheroid model for oncolytic virus infection on a chip. | Cancer cells transfected substantially more than bystander cells, which is not observed in 2D cell culture |
500 μm spheroid chambers, collagen I matrix, 0.3 dyne/cm2. |
HUVEC IFN-B secretion is delayed in 2D compared to the microfluidic model. | ||||
Terrell [248] |
MDA-MB-231-HER2+ cancer, CTX-TNA2 rat astrocytes | 3D | Treatment | Blood–brain barrier model in a chip to investigate monoclonal antibody localization. | Tailored antibody trastuzumab found to localize 3% to healthy brain and 5% to tumor model brain. |
200 μm width, fibronectin matrix, 60 μL/h. | Rate of uptake quantified as 2.7 × 103 to healthy brain and 1.28 × 104 to cancerous brain. | ||||
He [238] |
Acellular | Suspended particles | Treatment | Hydrodynamic flow for self-assembly of amphiphilic nanoparticles capable of forming a “micelle”. | 500 nm to 2 μm giant vesicles formed. |
Channel size not described, no ECM, 5400 μL/h. |