Raman and autofluorescence analysis of human body fluids from patients with malignant tumors
Paper #3158 received 13 Feb 2017; revised manuscript received 4 Apr 2017; accepted for publication 4 May 2017; published online 15 May 2017.
In this study we measured Raman and autofluorescence spectral features of blood and urine from patients with various cancers. A total number of 26 blood samples from patients with lung cancer and 12 blood samples from patients with other cancers, and also 10 urine samples from patients with lung cancer and 9 urine samples from patients with other tumors were tested. The processing of experimental data and definition of informative bands for body fluid spectral analysis were performed on the bases of PLS-DA method. Wherein, there is no significant correlation between the most informative criteria for blood and urine. This fact shows that simultaneous study of blood and urine samples can increase the analysis informativeness. In general, the developed approach of body fluids analysis may become the basis of an inexpensive, quick and reliable method of lung cancer screening.
1. World Health Organization, World Cancer Report (2014).
2. J. E. Niederhuber, J. O. Armitage, J. H. Doroshow, M. B. Kastan, and J. E. Tepper, Abeloff's Clinical Oncology, 5th Edition, Elsevier Health Sciences (2013).
3. C. Peedell, Concise Clinical Oncology, Elsevier Health Sciences (2005).
4. W. J. Marshall, M. Lapsley, A. Day, and R. Ayling, Clinical Biochemistry: Metabolic and Clinical Aspects, 3rd Edition, Elsevier Health Sciences (2014).
5. S. Mishra, D. C. Sharma, and P. Sharma, “Studies of biochemical parameters in breast cancer with and without metastasis,” Indian Journal of Clinical Biochemistry 19(1), 71-75 (2004). Crossref
6. J. C. Hunter, A. Manandhar, M. A. Carrasco, D. Gurbani, S. Gondi, and K. D. Westover, “Biochemical and Structural Analysis of Common Cancer-Associated KRAS Mutations,” Mol. Cancer Res. 13(9), 1325-1335 (2015). Crossref
7. F. Rückert, C. Pilarsky, and R. Grützmann, “Serum Tumor Markers in Pancreatic Cancer—Recent Discoveries,” Cancers 2(2), 1107-1124 (2010). Crossref
8. P. P. Mumbarkar, A. S. Raste, and M. S. Ghadge, “Significance of tumor markers in lung cancer,” Indian Journal of Clinical Biochemistry 21(1), 173-176 (2006). Crossref
9. S. M. Khopkar, Basic Concepts of Analytical Chemistry, New Age International (1998).
10. V. V. Tuchin, Handbook of Optical Biomedical Diagnostics, SPIE Press Book (2002).
11. P. Rekha, P. Aruna, A. Daniel, S. Wilfred Prasanna, K. UdayaKumar, S. Ganesan, G. Bharanidharan, B. David, “Raman spectroscopic characterization of blood plasma of oral cancer,” IEEE International Conference on Photonics, 135-137 (2013).
12. S. Feng, J. Pan, Y. Wu, D. Lin, Y. Chen, G. Xi, J. Lin, and R. Chen, “Study on gastric cancer blood plasma based on surface-enhanced Raman spectroscopy combined with multivariate analysis,” Sci. China Life Sci. 54(9), 828-834 (2011). Crossref
13. S. Feng, W. Wang, I. T. Tai, G. Chen, R. Chen, and H. Zeng, “Label-free surface-enhanced Raman spectroscopy for detection of colorectal cancer and precursor lesions using blood plasma,” Biomed Opt Express. 6(9), 3494-3502 (2015).
14. G. Del Mistro, S. Cervo, E. Mansutti, R. Spizzo, A. Colombatti, P. Belmonte, R. Zucconelli, A. Steffan, V. Sergo, A. Bonifacio, “Surface-enhanced Raman spectroscopy of urine for prostate cancer detection: a preliminary study,” Anal. Bioanal Chem. 407(12), 3271-3275 (2015). Crossref
15. M. Al-Salhi, V. Masilamani, T. Vijmasi, H. Al-Nachawati, A. P. VijayaRaghavan, “Lung cancer detection by native fluorescence spectra of body fluids-a preliminary study,” J Fluoresc. 21(2), 637-645 (2011). Crossref
16. H. Zeng, H. Lui, D. I. McLean, and H. Zeng, “Automated autofluorescence background subtraction algorithm for biomedical Raman spectroscopy,” Аpplied spectroscopy 61(11), 1225-1232 (2007).
17. B. G. M. Vandeginste, D. L. Massart, L. M. C. Buydens, S. De Jong, P. J. Lewi, and J. Smeyers-Verbeke (eds.), Handbook of Chemometrics and Qualimetrics: Part B, Data Handling in Science and Technology 20(2), 1-713 (1998).
18. P. S. Gromski, H. Muhamadali, D. I. Ellis, Y. Xu, E. Correa, M. L. Turner, and R. Goodacre, “A tutorial review: Metabolomics and partial least squares-discriminant analysis – a marriage of convenience or a shotgun wedding,” Anal.Chim. Acta.879, 10-23 (2015).
19. M. Farrés, S. Platikanov, S. Tsakovski, and R. Tauler, “Comparison of the variable importance in projection (VIP) and of the selectivity ratio (SR) methods for variable selection and interpretation,” Journal of Chemometrics 29(10), 528-536 (2015). Crossref
20. M. Ghomi, Applications of Raman Spectroscopy to Biology: From Basic Studies to Disease Diagnosis, IOS Press (2012).
21. C.-C. Yeh, M.-F. Hou, S.-H. Wu, S.-M. Tsai, S.-K. Lin, L. A. Hou, H. Ma, and L.-Y. Tsai, “A study of glutathione status in the blood and tissues of patients with breast cancer,” Cell Biochem. Funct. 24(6), 555-559 (2006). Crossref
22. M. Bolayirli, H. Turna, T. Orhanoğlu, R. Ozaras, M. İlhan, and M. Özgüroğlu, “C-reactive protein as an acute phase protein in cancer patients,” Med. Oncol.24(3), 338-344 (2007).
23. J. L. Lippert, L. E. Gorczyca, and G. Meiklejohn, “A laser Raman spectroscopic investigation of phospholipid and protein configurations in hemoglobin-free erythrocyte ghosts,” Biochim. Biophys. Acta. 382(1), 51-57 (1975).
24. J. Wang, D. Lin, J. Lin, Y. Yu, Z. Huang, Y. Chen, J. Lin, S. Feng, B. Li, N. Liu, and R. Chen, “Label-free detection of serum proteins using surface-enhanced Raman spectroscopy for colorectal cancer screening,” J. Biomed. Opt. 19(8), 087003 (2014).
25. R. P. Kengne-Momo, Ph. Daniel, F. Lagarde, Y. L. Jeyachandran, J. F. Pilard, M. J. Durand-Thouand, and G. Thouand, “Protein Interactions Investigated by the Raman Spectroscopy for Biosensor Applications,” International Journal of Spectroscopy 2012(19), 462901 (2012).
26. S. Feng, D. Lin, J. Lin, B. Li, Z. Huang, G. Chen, W. Zhang, L. Wang, J. Pan, R. Chen, and H. Zeng, “Blood plasma surface-enhanced Raman spectroscopy for non-invasive optical detection of cervical cancer,” Analyst.138(14), 3967-3974 (2013).
27. M. L. A. de Leoz, L. J. T. Young, H. J. An, S. R. Kronewitter, J. Kim, S. Miyamoto‖, A. D. Borowsky, H. K. Chew, and C. B. Lebrilla, “High-Mannose Glycans are Elevated during Breast Cancer Progression,” Mol. Cell. Proteomics.10(1), M110.002717 (2011).
28. S. Nakajima, I. Sakata, and T. Takemura, “Mechanism of accumulation of porphyrin derivatives in tumor tissues and its application to the diagnosis and treatment of cancer,” Drug Delivery System 11(2), 105-110 (2009). Crossref
29. C. F. Polo, A. L. Frisardi, E. R. Resnik, A. E. Schoua, and A. M. Batlle, “Factors Influencing Fluorescence Spectra of Free Porphyrins,” Clin. Chem. 34(4), 757-760 (1988).
30. J. D. Spikes, “Quantum yields and kinetics of the photobleaching of hematoporphyrin, Photofrin II, tetra(4-sulfonatophenyl)-porphine and uroporphyrin,” Photochem. Photobiol. 55(6), 797-808 (1992).
31. S. Jaychandran, P. K. Meenapriya, and S. Ganesan, “Raman Spectroscopic Analysis of Blood, Urine, Saliva and Tissue of Oral Potentially Malignant Disorders and Malignancy-A Diagnostic Study,” J. Oral Craniofac. Sci. 2(1), 11-14 (2016).
32. J. De Gelder, K. De Gussem, P. Vandenabeele, and L. Moens, “Reference database of Raman spectra of biological molecules,” Journal of Raman Spectroscopy 38(9), 1133–1147 (2007). Crossref
33. R. M. Cohn, and K. S. Roth, Biochemistry and Disease: Bridging Basic Science and Clinical Practice, Williams & Wilkins (1996).
34. R. Scatena, Advances in Cancer Biomarkers: From biochemistry to clinic for a critical revision, Springer, (2015).
35. V. Masilamani, T. Vijmasi, M. Al Salhi, K. Govindaraj, A. P. Vijaya-Raghavan, and B, Antonisamy, “Cancer detection by native fluorescence of urine,” J. Biomed Opt. 15(5), 057003 (2010). Crossref
36. S. Feng, Z. Zheng, Y. Xu, J. Lin, G. Chen, C. Weng, D. Lin, S. Qiu, M. Cheng, Z. Huang, L. Wang, R. Chen, and S. Xie, “A Noninvasive Cancer Detection Strategy Based on Gold Nanoparticle Surface-enhanced Raman Spectroscopy of Urinary Modified Nucleosides Isolated by Affinity Chromatography,” Biosensors & Bioelectronics 91, 616-622 (2017). Crossref
37. X. Li, T. Yang, and J. Lin, “Spectral analysis of human saliva for detection of lung cancer using surface-enhanced Raman spectroscopy,” J Biomed Opt. 17(3), (2012). Crossref
38. T. An, S. Qin, Y. Xu, Y. Tang, Y. Huang, B. Situ, J. M. Inal, and L. Zheng, “Exosomes serve as tumour markers for personalized diagnostics owing to their important role in cancer metastasis,” J. Extracell. Vesicles 4(1), 27522 (2015). Crossref
© 2014-2018 Samara National Research University. All Rights Reserved.
Public Media Certificate (RUS). 12+