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Machine learning algorithms enhance the specificity of cancer biomarker detection using SERS-based immunoassays in microfluidic chips 원문보기

RSC advances, v.9 no.4, 2019년, pp.1859 - 1868  

Banaei, Nariman (Department of Mechanical and Industrial Engineering, University of Massachusetts Amherst Amherst MA USA ybsun@umass.edu kim@engin.umass.edu) ,  Moshfegh, Javad (Department of Electrical and Computer Engineering, University of Massachusetts Amherst MA USA) ,  Mohseni-Kabir, Arman (Department of Physics, University of Massachusetts Amherst MA USA) ,  Houghton, Jean Marie (Department of Medicine, University of Massachusetts Medical School Worcester MA USA) ,  Sun, Yubing (Department of Mechanical and Industrial Engineering, University of Massachusetts Amherst Amherst MA USA ybsun@umass.edu kim@engin.umass.edu) ,  Kim, Byung (Department of Mechanical and Industrial Engineering, University of Massachusetts Amherst Amherst MA USA ybsun@umass.edu kim@engin.umass.edu)

Abstract AI-Helper 아이콘AI-Helper

Specificity is a challenge in liquid biopsy and early diagnosis of various diseases. There are only a few biomarkers that have been approved for use in cancer diagnostics; however, these biomarkers suffer from a lack of high specificity. Moreover, determining the exact type of disorder for patients ...

참고문헌 (47)

  1. Chari S. T. Kelly K. Hollingsworth M. A. et al. , Early detection of sporadic pancreatic cancer: summative review Pancreas 2015 44 5 693 712 10.1097/MPA.0000000000000368 25931254 

  2. Bozic I. Reiter J. G. Allen B. et al. , Evolutionary dynamics of cancer in response to targeted combination therapy eLife 2013 2 e00747 10.7554/eLife.00747 23805382 

  3. Kim V. M. Ahuja N. Early detection of pancreatic cancer Chin. J. Cancer Res. 2015 27 4 321 331 26361402 

  4. Cohen J. D. Li L. Wang Y. et al. , Detection and localization of surgically resectable cancers with a multi-analyte blood test Science 2018 eaar3247 

  5. Cohen J. D. Javed A. A. Thoburn C. et al. , Combined circulating tumor DNA and protein biomarker-based liquid biopsy for the earlier detection of pancreatic cancers Proc. Natl. Acad. Sci. U. S. A. 2017 114 38 10202 10207 10.1073/pnas.1704961114 28874546 

  6. Mäbert K. Cojoc M. Peitzsch C. Kurth I. Souchelnytskyi S. Dubrovska A. Cancer biomarker discovery: current status and future perspectives Int. J. Radiat. Biol. 2014 90 8 659 677 10.3109/09553002.2014.892229 24524284 

  7. Legrand F. Berrebi D. Houhou N. et al. , Early diagnosis of adenovirus infection and treatment with cidofovir after bone marrow transplantation in children Bone Marrow Transplant. 2001 27 6 621 10.1038/sj.bmt.1702820 11319592 

  8. Patz Jr E. F. Campa M. J. Gottlin E. B. Kusmartseva I. Guan X. R. Herndon J. E. Panel of serum biomarkers for the diagnosis of lung cancer J. Clin. Oncol. 2007 25 35 5578 5583 10.1200/JCO.2007.13.5392 18065730 

  9. Misek D. E. Kim E. H. Protein biomarkers for the early detection of breast cancer Int. J. Proteomics 2011 2011 343582 22084684 

  10. Mor G. Visintin I. Lai Y. et al. , Serum protein markers for early detection of ovarian cancer Proc. Natl. Acad. Sci. U. S. A. 2005 102 21 7677 7682 10.1073/pnas.0502178102 15890779 

  11. Engelen M. J. de Bruijn H. W. Hollema H. et al. , Serum CA 125, carcinoembryonic antigen, and CA 19-9 as tumor markers in borderline ovarian tumors Gynecol. Oncol. 2000 78 1 16 20 10.1006/gyno.2000.5811 10873403 

  12. Duffy M. Sturgeon C. Lamerz R. et al. , Tumor markers in pancreatic cancer: a european group on tumor markers (EGTM) status report Ann. Oncol. 2009 21 3 441 447 10.1093/annonc/mdp332 19690057 

  13. Moore R. G. McMeekin D. S. Brown A. K. et al. , A novel multiple marker bioassay utilizing HE4 and CA125 for the prediction of ovarian cancer in patients with a pelvic mass Gynecol. Oncol. 2009 112 1 40 46 10.1016/j.ygyno.2008.08.031 18851871 

  14. Simmons A. R. Baggerly K. Bast Jr R. C. The emerging role of HE4 in the evaluation of epithelial ovarian and endometrial carcinomas Oncology 2013 27 6 548 556 23909069 

  15. O'Neal R. L. Nam K. T. LaFleur B. J. et al. , Human epididymis protein 4 is up-regulated in gastric and pancreatic adenocarcinomas Hum. Pathol. 2013 44 5 734 742 10.1016/j.humpath.2012.07.017 23084584 

  16. Huang T. Jiang S. Qin L. et al. , Expression and diagnostic value of HE4 in pancreatic adenocarcinoma Int. J. Mol. Sci. 2015 16 2 2956 2970 10.3390/ijms16022956 25642754 

  17. McKINNON B. Mueller M. D. Nirgianakis K. Bersinger N. A. Comparison of ovarian cancer markers in endometriosis favours HE4 over CA125 Mol. Med. Rep. 2015 12 4 5179 5184 10.3892/mmr.2015.4062 26165164 

  18. Lamy P. Plassot C. Pujol J. Serum HE4: an independent prognostic factor in non-small cell lung cancer PLoS One 2015 10 6 e0128836 10.1371/journal.pone.0128836 26030627 

  19. Tang Q. F. Zhou Z. W. Ji H. B. Pan W. H. Sun M. Z. Value of serum marker HE4 in pulmonary carcinoma diagnosis Int. J. Clin. Exp. Med. 2015 8 10 19014 19021 26770527 

  20. Kuhlmann K. F. van Till J. W. Boermeester M. A. et al. , Evaluation of matrix metalloproteinase 7 in plasma and pancreatic juice as a biomarker for pancreatic cancer Cancer Epidemiol., Biomarkers Prev. 2007 16 5 886 891 10.1158/1055-9965.EPI-06-0779 17507610 

  21. Wilson C. L. Heppner K. J. Labosky P. A. Hogan B. L. Matrisian L. M. Intestinal tumorigenesis is suppressed in mice lacking the metalloproteinase matrilysin Proc. Natl. Acad. Sci. U. S. A. 1997 94 4 1402 1407 10.1073/pnas.94.4.1402 9037065 

  22. Yamamoto H. Itoh F. Iku S. et al. , Expression of matrix metalloproteinases and tissue inhibitors of metalloproteinases in human pancreatic adenocarcinomas: clinicopathologic and prognostic significance of matrilysin expression J. Clin. Oncol. 2001 19 4 1118 1127 10.1200/JCO.2001.19.4.1118 11181677 

  23. Carrara S. Cangi M. G. Arcidiacono P. G. et al. , Mucin expression pattern in pancreatic diseases: findings from EUS-guided fine-needle aspiration biopsies Am. J. Gastroenterol. 2011 106 7 1359 1363 10.1038/ajg.2011.22 21647207 

  24. Horn A. Chakraborty S. Dey P. et al. , Immunocytochemistry for MUC4 and MUC16 is a useful adjunct in the diagnosis of pancreatic adenocarcinoma on fine-needle aspiration cytology Arch. Pathol. Lab. Med. 2013 137 4 546 551 10.5858/arpa.2011-0229-OA 23544943 

  25. Argani P. Iacobuzio-Donahue C. Ryu B. et al. , Mesothelin is overexpressed in the vast majority of ductal adenocarcinomas of the pancreas: identification of a new pancreatic cancer marker by serial analysis of gene expression (SAGE) Clin. Cancer Res. 2001 7 12 3862 3868 11751476 

  26. Hassan R. Laszik Z. G. Lerner M. Raffeld M. Postier R. Brackett D. Mesothelin is overexpressed in pancreaticobiliary adenocarcinomas but not in normal pancreas and chronic pancreatitis Am. J. Clin. Pathol. 2005 124 6 838 845 10.1309/F1B64CL7H8VJKEAF 16416732 

  27. Havrilesky L. J. Whitehead C. M. Rubatt J. M. et al. , Evaluation of biomarker panels for early stage ovarian cancer detection and monitoring for disease recurrence Gynecol. Oncol. 2008 110 3 374 382 10.1016/j.ygyno.2008.04.041 18584856 

  28. Chauhan S. C. Singh A. P. Ruiz F. et al. , Aberrant expression of MUC4 in ovarian carcinoma: diagnostic significance alone and in combination with MUC1 and MUC16 (CA125) Mod. Pathol. 2006 19 10 1386 10.1038/modpathol.3800646 16880776 

  29. Hassan R. Remaley A. T. Sampson M. L. et al. , Detection and quantitation of serum mesothelin, a tumor marker for patients with mesothelioma and ovarian cancer Clin. Cancer Res. 2006 12 2 447 453 10.1158/1078-0432.CCR-05-1477 16428485 

  30. Beeharry M. K. Liu W. T. Yan M. Zhu Z. G. New blood markers detection technology: a leap in the diagnosis of gastric cancer World J. Gastroenterol. 2016 22 3 1202 1212 10.3748/wjg.v22.i3.1202 26811658 

  31. Huang S. K. Hoon D. S. Liquid biopsy utility for the surveillance of cutaneous malignant melanoma patients Mol. Oncol. 2016 10 3 450 463 10.1016/j.molonc.2015.12.008 26778792 

  32. Banaei N. Foley A. Houghton J. M. Sun Y. Kim B. Multiplex detection of pancreatic cancer biomarkers using a SERS-based immunoassay Nanotechnology 2017 28 45 455101 10.1088/1361-6528/aa8e8c 28937361 

  33. Schlücker S. Surface-enhanced Raman spectroscopy: concepts and chemical applications Angew. Chem., Int. Ed. 2014 53 19 4756 4795 10.1002/anie.201205748 24711218 

  34. Dinish U. Balasundaram G. Chang Y. T. Olivo M. Sensitive multiplex detection of serological liver cancer biomarkers using SERS-active photonic crystal fiber probe J. Biophotonics 2014 7 11–12 956 965 10.1002/jbio.201300084 23963680 

  35. Zavaleta C. L. Smith B. R. Walton I. et al. , Multiplexed imaging of surface enhanced Raman scattering nanotags in living mice using noninvasive Raman spectroscopy Proc. Natl. Acad. Sci. U. S. A. 2009 106 32 13511 13516 10.1073/pnas.0813327106 19666578 

  36. Guarrotxena N. Liu B. Fabris L. Bazan G. C. Antitags: nanostructured tools for developing SERS-based ELISA analogs Adv. Mater. 2010 22 44 4954 4958 10.1002/adma.201002369 20812231 

  37. Feng S. Chen R. Lin J. et al. , Nasopharyngeal cancer detection based on blood plasma surface-enhanced Raman spectroscopy and multivariate analysis Biosens. Bioelectron. 2010 25 11 2414 2419 10.1016/j.bios.2010.03.033 20427174 

  38. Lin D. Feng S. Pan J. et al. , Colorectal cancer detection by gold nanoparticle based surface-enhanced Raman spectroscopy of blood serum and statistical analysis Opt. Express 2011 19 14 13565 13577 10.1364/OE.19.013565 21747512 

  39. Lee M. Lee K. Kim K. H. Oh K. W. Choo J. SERS-based immunoassay using a gold array-embedded gradient microfluidic chip Lab Chip 2012 12 19 3720 3727 10.1039/C2LC40353F 22797080 

  40. Gao R. Ko J. Cha K. et al. , Fast and sensitive detection of an anthrax biomarker using SERS-based solenoid microfluidic sensor Biosens. Bioelectron. 2015 72 230 236 10.1016/j.bios.2015.05.005 25985198 

  41. Wang G. Park H. Lipert R. J. Porter M. D. Mixed monolayers on gold nanoparticle labels for multiplexed surface-enhanced Raman scattering based immunoassays Anal. Chem. 2009 81 23 9643 9650 10.1021/ac901711f 19874000 

  42. Breiman L. , Classification and regression trees , Routledge , 2017 

  43. Kim K. S. Choi H. H. Moon C. S. Mun C. W. Comparison of k-nearest neighbor, quadratic discriminant and linear discriminant analysis in classification of electromyogram signals based on the wrist-motion directions Curr. Appl. Phys. 2011 11 3 740 745 10.1016/j.cap.2010.11.051 

  44. Tayeb S. , Pirouz M. and Sun J. , et al. , Toward predicting medical conditions using k-nearest neighbors , 2017 , pp. 3897–3903 

  45. Prasath V. , Alfeilat H. A. A. , Lasassmeh O. and Hassanat A. , Distance and similarity measures effect on the performance of K-nearest neighbor classifier-a review , arXiv:1708.04321, 2017 

  46. Hand D. J. Principles of data mining Drug Saf. 2007 30 7 621 622 10.2165/00002018-200730070-00010 17604416 

  47. Pedregosa F. Varoquaux G. Gramfort A. et al. , Scikit-learn: machine learning in python J. Mach. Learn. Res. 2011 12 2825 2830 

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