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Study of kidney tumour samples using IR-spectroscopy: testing the tumour ‘explosive growth’ hypothesis

https://doi.org/10.25587/2222-5404-2024-21-3-59-74

Abstract

Approximately 210-250 thousand new cases of renal cell cancer (RCC) are registered annually in the world, which is 2-3% in the structure of malignant neoplasms in adults. In Russia, among tumours of the urogenital system, RCC ranks 2nd after malignant neoplasms of the prostate gland and 1-3rd in terms of the growth rate of morbidity. According to numerous studies, the growth rate of kidney tumour is on average 2.5 mm per year. However, it has been observed that when patients undergo surgical resection of a renal tumour, they are often found to have masses that are significantly larger than those predicted. The reasons and mechanisms for this dramatic increase in the size of renal masses remain unclear at this time. In this regard, the ‘explosive’ growth of renal tumours has been suggested. In this paper, haematoma fluid (HF) samples from different sites of renal tumour, obtained directly from the tumour during surgery to remove the mass, are analysed by infrared spectroscopy to study the changes occurring in blood clots from the time of haematoma formation in order to assess the ‘age’ of the tumour. It is assumed that in the case of ‘explosive growth’ of the tumour there is simultaneous formation of tumour hematomas located in different parts of the tumour. The IR spectra of HL samples from tumours of different patients, as well as HL from different tumour sites of the same patient were compared in terms of the height of intensity of transmittance peaks at selected wave numbers corresponding to fluctuations of proteins such as fibrinogen and haemoglobin, as well as lipids. The study of the peaks responsible for fluctuations in the deoxygenated state of haemoglobin, methemoglobin and other proteins, lipids and structural changes in these compounds revealed statistically significant differences in the peak area of fibrinogen fluctuations in the spectra of samples from different patients and controls. In addition, correlation analysis between tumour size and the intensity of the peak responsible for fibrinogen νPO oscillations indirectly confirmed the hypothesis of ‘explosive growth’ of renal tumour. Thus, the results obtained in this work confirm that the IR spectroscopy method can be used in tumour ‘age’ studies, and the causes and mechanisms of the abrupt increase in the size of renal masses can be explained by the hypothesis of tumour ‘explosive growth’.

About the Authors

A. N. Pavlov
M.K. Ammosov North-Eastern Federal University,
Russian Federation

Alexander N. Pavlov – Researcher at the Laboratory of Radiation Technologies, Institute of Physics and Technology

Yakutsk



A. V. Maksimov
M.E. Nikolaev Republic Hospital No. 1 – National Center of Medicine
Russian Federation

Alexander V. Maksimov  – Cand. Sci. (Medicine), Head of the Urological Department

Yakutsk



S. N. Mamaeva
M.K. Ammosov North-Eastern Federal University
Russian Federation

Sargylana N. Mamaeva – Cand. Sci. (Phys. & Math.), Assoc. Prof., Head of the Department of General and Experimental Physics, Institute of Physics and Technology

Yakutsk



G. V. Maximov
M.V. Lomonosov Moscow State University
Russian Federation

Georgy V. Maximov – Dr. Sci. (Biology), Prof. of the Department of Biophysics, Faculty of  Biology

Yakutsk



References

1. Ng LM, Simmons R. Infrared spectroscopy. Analytical chemistry, 1999;71(12):343-350.

2. Jamrógiewicz M. Application of the near-infrared spectroscopy in the pharmaceutical technology. Journal of pharmaceutical and biomedical analysis, 2012;66:1-10.

3. Gautam R, et al. Review of multidimensional data processing approaches for Raman and infrared spectroscopy. EPJ Techniques and Instrumentation, 2015;2:1-38.

4. Beć KB, Grabska J, Huck CW. Biomolecular and bioanalytical applications of infrared spectroscopy–A review. Analytica Chimica Acta, 2020;1133:150-177.

5. Santos F, et al. Spectroscopic features of cancer cells: FTIR spectroscopy as a tool for early diagnosis. Current Metabolomics, 2018;6(2):103-111.

6. Bel’Skaya LV. Use of IR spectroscopy in cancer diagnosis. A review. Journal of Applied Spectroscopy, 2019;86(2):187-205.

7. Uwadaira Y, et al. Development of a non-invasive blood glucose sensor using short-wavelength nearinfrared spectroscopy and its application to glycemic index determination. Nippon Shokuhin Kagaku Kogaku Kaishi= Journal of the Japanese Society for Food Science and Technology, 2011;58(3):97-104.

8. Uwadaira Y, et al. Identification of informative bands in the short-wavelength NIR region for noninvasive blood glucose measurement. Biomedical optics express, 2016;7(7):2729-2737.

9. Yang W, et al. Determination of NIR informative wavebands for transmission non-invasive blood glucose measurement using a Fourier transform spectrometer. Aip Advances, 2018;8(3):035216.

10. Mehnati P, et al. Near-infrared visual differentiation in normal and abnormal breast using hemoglobin concentrations. Journal of Lasers in Medical Sciences, 2018;9(1):50.

11. Nioka S, et al. Breast cancer detection of large size to DCIS by hypoxia and angiogenesis using NIRS. Oxygen Transport to Tissue XXXV. Springer New York, 2013:211-219.

12. Chance B, et al. Breast cancer detection based on incremental biochemical and physiological properties of breast cancers: A six-year, two-site study1. Academic radiology, 2005;12(8):925-933.

13. Lazareva EN, Tuchin VV. Measurement of refractive index of hemoglobin in the visible/NIR spectral range. Journal of biomedical optics, 2018;23(3):035004-035004.

14. Zhang S, et al. Nondestructive measurement of hemoglobin in blood bags based on multi-pathlength VIS-NIR spectroscopy. Scientific reports, 2018;8(1):1-9.

15. Martin FL, et al. Distinguishing cell types or populations based on the computational analysis of their infrared spectra. Nature protocols, 2010;5(11):1748-1760.

16. Gajjar K, et al. Diagnostic segregation of human brain tumours using Fourier-transform infrared and/or Raman spectroscopy coupled with discriminant analysis. Analytical Methods, 2013;5(1):89-102.

17. Walsh MJ, et al. Tracking the cell hierarchy in the human intestine using biochemical signatures derived by mid-infrared microspectroscopy. Stem cell research, 2009;3(1):15-27.

18. Bird B, et al. Detection of breast micro-metastases in axillary lymph nodes by infrared micro-spectral imaging. Analyst, 2009;134(6):1067-1076.

19. Naumann D, Lasch P, Fabian H. Cells and biofluids analyzed in aqueous environment by infrared spectroscopy. Biomedical vibrational spectroscopy III: Advances in research and industry. SPIE, 2006;6093:609301.

20. Guleken Z, et al. Assessment of structural protein expression by FTIR and biochemical assays as biomarkers of metabolites response in gastric and colon cancer. Talanta, 2021;231:122353.

21. Bangaoil R, et al. ATR-FTIR spectroscopy as adjunct method to the microscopic examination of hematoxylin and eosin-stained tissues in diagnosing lung cancer. PloS one, 2020;15(5):e0233626.

22. Nsugbe E, et al. On an Affordable Approach towards the Diagnosis and Care for Prostate Cancer Patients Using Urine, FTIR and Prediction Machines. Diagnostics, 2022;12(9):2099.

23. Melo IMA, et al. PCR-RFLP and FTIR-based detection of high-risk human papilloma virus for cervical cancer screening and prevention. Biochemistry and Biophysics Reports, 2021;26:100993.

24. Martens H, et al. Pre‐processing in biochemometrics: correction for path‐length and temperature effects of water in FTIR bio‐spectroscopy by EMSC. Journal of Chemometrics: A Journal of the Chemometrics Society, 2006;20(8‐10):402-417.

25. Prabhakar S, Jain N, Singh RA. FT-IR Spectroscopy as a Bio-Diagnostic Tool for Detection of Leukemia. Emerging Trends in Laser & Spectroscopy and Applications, 2010th ed.; Allied Publishers: New Delhi, India, 2010:337-341.

26. Ollesch J, et al. An infrared spectroscopic blood test for non-small cell lung carcinoma and subtyping into pulmonary squamous cell carcinoma or adenocarcinoma. Biomedical Spectroscopy and Imaging, 2016;5(2):129-144.

27. Chaber R, et al. A preliminary study of FTIR spectroscopy as a potential non-invasive screening tool for pediatric precursor B lymphoblastic leukemia. Molecules, 2021;26(4):1174.

28. Martin M, Perez-Guaita D, Wood BR. ATR-FTIR spectroscopy as a quality control system for monitoring the storage of blood products. Analytical Methods, 2021;13(47):5756-5763.

29. Veettil TCP, et al. Characterization of freeze-dried oxidized human red blood cells for pre-transfusion testing by synchrotron FTIR microspectroscopy live-cell analysis. Analyst., 2023;148(7):1595-1602.

30. Makhnii T, et al. Age-related changes in FTIR and Raman spectra of human blood. Ukrainian Journal of Physics, 2016;61(10):853-853.

31. Szczesny-Malysiak E, et al. Irreversible alterations in the hemoglobin structure affect oxygen binding in human packed red blood cells. Biochimica et Biophysica Acta (BBA)-Molecular Cell Research, 2020;1867(11):118803.

32. Boyd S, Bertino MF, Seashols SJ. Raman spectroscopy of blood samples for forensic applications. Forensic science international, 2011;208(1-3):124-128.

33. Kushlinskii NE, Fridman MV, Morozov AA, et al. Modern approaches to kidney cancer immunotherapy. Onkourologiya = Cancer Urology, 2018;14(2):54–67.

34. Crispen PL, Greenberg RE, Chen DYT, et al. Active surveillance of enhancing renal tumors. Onkourologiya = Cancer Urology, 2007;(4):17–21.

35. Maksimov AV. Carcokinesis – a new word in oncology. Integration of sciences: interdisciplinarity in medicine. VKMiF-2022 [Electronic resource]: collection of abstracts of the All-Russian scientific-practical conference with international participation. 20 -22 June 2022. Yakutsk: Publishing House NEFU, 2022:125.

36. Fomins S, et al. Photoinduced AsSeS thin film phase plates as adaptive optics mirrors for eye aberration correction. Sixth International Conference on Advanced Optical Materials and Devices (AOMD-6). SPIE, 2008;7142:361-366.

37. Wood BR, Stoddart PR, McNaughton D. Molecular imaging of red blood cells by raman spectroscopy. Australian Journal of Chemistry, 2011;64(5):593-599.

38. Kamemoto LE, et al. Near-infrared micro-Raman spectroscopy for in vitro detection of cervical cancer. Applied spectroscopy, 2010;64(3):255-261.

39. Stone N, et al. Raman spectroscopy for identification of epithelial cancers. Faraday discussions, 2004;126:141-157.

40. Petibois C, et al. Plasma protein contents determined by Fourier-transform infrared spectrometry. Clinical Chemistry, 2001;47(4):730-738.

41. Sheng D, et al. Comparison of serum from gastric cancer patients and from healthy persons using FTIR spectroscopy. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2013;116:365-369.

42. Mahadevan-Jansen A, Richards-Kortum RR. Raman spectroscopy for the detection of cancers and precancers. Journal of biomedical optics, 1996;1(1):31-70.

43. Zeller H, Novak P, Landgraf R. Blood glucose measurement by infrared spectroscopy. The International journal of artificial organs, 1989;12(2):129-135.


Review

For citations:


Pavlov A.N., Maksimov A.V., Mamaeva S.N., Maximov G.V. Study of kidney tumour samples using IR-spectroscopy: testing the tumour ‘explosive growth’ hypothesis. Vestnik of North-Eastern Federal University. 2024;21(3):59-74. (In Russ.) https://doi.org/10.25587/2222-5404-2024-21-3-59-74

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