||1. Seyfried, T.N. and L.C. Huysentruyt, On the origin of cancer metastasis. Critical reviews in oncogenesis, 2013. 18(1-2): p. 43.|
2. Gomez-Cuadrado, L., et al., Mouse models of metastasis: progress and prospects. Disease models & mechanisms, 2017. 10(9): p. 1061-1074.
3. Masuda, T., et al., Clinical and biological significance of circulating tumor cells in cancer. Molecular oncology, 2016. 10(3): p. 408-417.
4. Yap, T.A., et al., Circulating tumor cells: a multifunctional biomarker. 2014, AACR.
5. Fabisiewicz, A. and E. Grzybowska, CTC clusters in cancer progression and metastasis. Medical oncology, 2017. 34(1): p. 12.
6. Aceto, N., et al., Circulating tumor cell clusters are oligoclonal precursors of breast cancer metastasis. Cell, 2014. 158(5): p. 1110-1122.
7. Hong, Y., F. Fang, and Q. Zhang, Circulating tumor cell clusters: What we know and what we expect. International journal of oncology, 2016. 49(6): p. 2206-2216.
8. Qi, Z.-H., et al., The significance of liquid biopsy in pancreatic cancer. Journal of cancer, 2018. 9(18): p. 3417.
9. Alix-Panabières, C. and K. Pantel, Clinical applications of circulating tumor cells and circulating tumor DNA as liquid biopsy. Cancer discovery, 2016. 6(5): p. 479-491.
10. Shigeyasu, K., et al., Emerging role of microRNAs as liquid biopsy biomarkers in gastrointestinal cancers. Clinical cancer research, 2017. 23(10): p. 2391-2399.
11. Cristofanilli, M., et al., Circulating tumor cells, disease progression, and survival in metastatic breast cancer. New england journal of medicine, 2004. 351(8): p. 781-791.
12. Miller, M.C., G.V. Doyle, and L.W. Terstappen, Significance of circulating tumor cells detected by the CellSearch system in patients with metastatic breast colorectal and prostate cancer. Journal of oncology, 2010. 2010.
13. Guo, T., et al., Culture of circulating tumor cells—holy grail and big challenge. International journal of cancer and clinical research, 2016. 3: p. 065.
14. Coumans, F., G. van Dalum, and L.W.M.M. Terstappen, CTC technologies and tools. Cytometry part A, 2018. 93(12): p. 1197-1201.
15. Bruil, A., et al., The mechanisms of leukocyte removal by filtration. Transfusion medicine reviews, 1995. 9(2): p. 145-166.
16. Prinyakupt, J. and C. Pluempitiwiriyawej, Segmentation of white blood cells and comparison of cell morphology by linear and naïve Bayes classifiers. Biomedical engineering online, 2015. 14(1): p. 63.
17. Gkountela, S., et al., Circulating tumor cell clustering shapes DNA methylation to enable metastasis seeding. Cell, 2019. 176(1-2): p. 98-112. e14.
18. Hosokawa, M., et al., Size-selective microcavity array for rapid and efficient detection of circulating tumor cells. Analytical chemistry, 2010. 82(15): p. 6629-6635.
19. Park, E.S., et al., Continuous flow deformability‐based separation of circulating tumor cells using microfluidic ratchets. Small, 2016. 12(14): p. 1909-1919.
20. Chen, H., et al., Highly-sensitive capture of circulating tumor cells using micro-ellipse filters. Scientific reports, 2017. 7(1): p. 610.
21. Morgan, T.M., P.H. Lange, and R.L. Vessella, Detection and characterization of circulating and disseminated prostate cancer cells. Front biosci, 2007. 12: p. 3000-3009.
22. Huang, Q., et al., Gelatin nanoparticle-coated silicon beads for density-selective capture and release of heterogeneous circulating tumor cells with high purity. Theranostics, 2018. 8(6): p. 1624.
23. Gascoyne, P. and S. Shim, Isolation of circulating tumor cells by dielectrophoresis. Cancers, 2014. 6(1): p. 545-579.
24. Shim, S., et al., Dielectrophoresis has broad applicability to marker-free isolation of tumor cells from blood by microfluidic systems. Biomicrofluidics, 2013. 7(1): p. 011808.
25. Man, Y., Q. Wang, and W. Kemmner, Currently used markers for CTC isolation-advantages, limitations and impact on cancer prognosis. Journal of clinical & experimental pathology, 2011. 1(102): p. 2161-0681.1000102.
26. Shao, H., J. Chung, and D. Issadore, Diagnostic technologies for circulating tumour cells and exosomes. Bioscience reports, 2016. 36(1).
27. Bai, L., et al., Peptide-based isolation of circulating tumor cells by magnetic nanoparticles. Journal of materials chemistry B, 2014. 2(26): p. 4080-4088.
28. KC, T.B., et al., Wash-free and selective imaging of epithelial cell adhesion molecule (EpCAM) expressing cells with fluorogenic peptide ligands. Biochemical and biophysical research communications, 2018. 500(2): p. 283-287.
29. Truini, A., et al., Clinical applications of circulating tumor cells in lung cancer patients by CellSearch system. Frontiers in oncology, 2014. 4: p. 242.
30. Shen, Z., A. Wu, and X. Chen, Current detection technologies for circulating tumor cells. Chemical society reviews, 2017. 46(8): p. 2038-2056.
31. Gorges, T.M., et al., Circulating tumour cells escape from EpCAM-based detection due to epithelial-to-mesenchymal transition. BMC cancer, 2012. 12(1): p. 178.
32. Gertler, R., et al., Detection of circulating tumor cells in blood using an optimized density gradient centrifugation, in Molecular staging of cancer. 2003, Springer. p. 149-155.
33. Hyun, K.-A. and H.-I. Jung, Advances and critical concerns with the microfluidic enrichments of circulating tumor cells. Lab on a chip, 2014. 14(1): p. 45-56.
34. Wong, K.H., et al., Anti-thrombotic strategies for microfluidic blood processing. Lab on a chip, 2018. 18(15): p. 2146-2155.
35. Bankó, P., et al., Technologies for circulating tumor cell separation from whole blood. Journal of hematology & oncology, 2019. 12(1): p. 48.
36. Ozkumur, E., et al., Inertial focusing for tumor antigen–dependent and–independent sorting of rare circulating tumor cells. Science translational medicine, 2013. 5(179): p. 179ra47-179ra47.
37. Kwak, D., Y. Wu, and T.A. Horbett, Fibrinogen and von Willebrand′s factor adsorption are both required for platelet adhesion from sheared suspensions to polyethylene preadsorbed with blood plasma. Journal of biomedical materials research part A, 2005. 74(1): p. 69-83.
38. Ehret, W., et al., Use of anticoagulants in diagnostic laboratory investigations and stability of blood, plasma and serum samples. World health organization, Geneva, Switzerland, 2002.
39. Zhang, Z., et al., Polybetaine modification of PDMS microfluidic devices to resist thrombus formation in whole blood. Lab on a chip, 2013. 13(10): p. 1963-1968.
40. Yoon, H.J., et al., Sensitive capture of circulating tumour cells by functionalized graphene oxide nanosheets. Nature nanotechnology, 2013. 8(10): p. 735.
41. Bose, S., S.F. Robertson, and A. Bandyopadhyay, Surface modification of biomaterials and biomedical devices using additive manufacturing. Acta biomaterialia, 2018. 66: p. 6-22.
42. Nemani, S.K., et al., Surface modification of polymers: Methods and applications. Advanced materials interfaces, 2018. 5(24): p. 1801247.
43. Fox, K.E., et al., Surface modification of medical devices at nanoscale—recent development and translational perspectives, in Biomaterials in translational medicine. 2019, Elsevier. p. 163-189.
44. Mallakpour, S. and M. Madani, A review of current coupling agents for modification of metal oxide nanoparticles. Progress in organic coatings, 2015. 86: p. 194-207.
45. Gad, M.M., et al., Effect of zirconium oxide nanoparticles addition on the optical and tensile properties of polymethyl methacrylate denture base material. International journal of nanomedicine, 2018. 13: p. 283.
46. He, M., et al., Zwitterionic materials for antifouling membrane surface construction. Acta biomaterialia, 2016. 40: p. 142-152.
47. Sun, Y., et al., Surface modification of silicon wafer by grafting zwitterionic polymers to improve its antifouling property. Applied surface science, 2017. 419: p. 642-649.
48. Yeh, S.-B., et al., Modification of silicone elastomer with zwitterionic silane for durable antifouling properties. Langmuir, 2014. 30(38): p. 11386-11393.
49. Lambros, M.B., et al., Single-cell analyses of prostate cancer liquid biopsies acquired by apheresis. Clinical cancer research, 2018. 24(22): p. 5635-5644.
50. Kim, T.H., et al., A temporary indwelling intravascular aphaeretic system for in vivo enrichment of circulating tumor cells. Nature communications, 2019. 10(1): p. 1478.
51. Mollahosseini, A., A. Abdelrasoul, and A. Shoker, Latest advances in zwitterionic structures modified dialysis membranes. Materials today chemistry, 2020. 15: p. 100227.
52. Huang, K.-T., S.-B. Yeh, and C.-J. Huang, Surface modification for superhydrophilicity and underwater superoleophobicity: applications in antifog, underwater self-cleaning, and oil–water separation. ACS applied materials & interfaces, 2015. 7(38): p. 21021-21029.
53. Estephan, Z.G., J.A. Jaber, and J.B. Schlenoff, Zwitterion-stabilized silica nanoparticles: toward nonstick nano. Langmuir, 2010. 26(22): p. 16884-16889.
54. Nonoyama, A., et al., Hypochromicity in red blood cells: an experimental and theoretical investigation. Biomedical optics express, 2011. 2(8): p. 2126-2143.
55. Xiao, M., L.N. Reddi, and S.L. Steinberg, Variation of water retention characteristics due to particle rearrangement under zero gravity. International journal of geomechanics, 2009. 9(4): p. 179-186.
56. Graton, L.C. and H. Fraser, Systematic packing of spheres: with particular relation to porosity and permeability. The Journal of geology, 1935. 43(8, Part 1): p. 785-909.
57. Tomaiuolo, G., et al., Red blood cell deformation in microconfined flow. Soft matter, 2009. 5(19): p. 3736-3740.
58. Tsai, Y.-L., et al., Scalable multilayer cell collector to capture circulating tumor cells with an unlimited volume capacity. ACS biomaterials science & engineering, 2019. 5(6): p. 2725-2731.
59. Radley, G., et al., Mechanical shear stress and leukocyte phenotype and function: implications for ventricular assist device development and use. The international journal of artificial organs, 2019. 42(3): p. 133-142.
60. Takeishi, N. and Y. Imai, Capture of microparticles by bolus flow of red blood cells in capillaries. Scientific reports, 2017. 7(1): p. 5381.
61. Moazzam, F., et al., The leukocyte response to fluid stress. Proceedings of the national academy of sciences, 1997. 94(10): p. 5338-5343.
62. Tsai, W.-S., et al., Circulating tumor cell count correlates with colorectal neoplasm progression and is a prognostic marker for distant metastasis in non-metastatic patients. Scientific reports, 2016. 6: p. 24517.