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Identification of kidney tumor tissue by infrared spectroscopy of extracellular matrix

Urboniene, Vidita; Pucetaite, Milda LU ; Jankevicius, Feliksas; Zelvys, Arunas; Sablinskas, Valdas and Steiner, Gerald (2014) In Journal of Biomedical Optics 19(8).
Abstract
Fourier transform infrared (FT-IR) spectroscopy was applied to characterize the extracellular matrix (ECM) of kidney tumor tissue and normal kidney tissue. Freshly resected tissue samples from 31 patients were pressed on a CaF2 substrate. FT-IR spectra obtained from ECM of tumor tissue exhibit stronger absorption bands in the spectral region from 1000 to 1200 cm−1 and around 1750 cm−1 than those obtained from normal tissue. It is likely that the spectra of ECM of kidney tumor tissue with large increases in the intensities of these
bands represent a higher concentration of fatty acids and glycerol. Amide I and amide II bands are stronger in the spectra of ECM from normal tissue, indicating a higher level of proteins. Our results suggest... (More)
Fourier transform infrared (FT-IR) spectroscopy was applied to characterize the extracellular matrix (ECM) of kidney tumor tissue and normal kidney tissue. Freshly resected tissue samples from 31 patients were pressed on a CaF2 substrate. FT-IR spectra obtained from ECM of tumor tissue exhibit stronger absorption bands in the spectral region from 1000 to 1200 cm−1 and around 1750 cm−1 than those obtained from normal tissue. It is likely that the spectra of ECM of kidney tumor tissue with large increases in the intensities of these
bands represent a higher concentration of fatty acids and glycerol. Amide I and amide II bands are stronger in the spectra of ECM from normal tissue, indicating a higher level of proteins. Our results suggest that FT-IR spectroscopy of the ECM is an innovative emerging technology for real-time intraoperative tumor diagnosis, which may improve margin clearance in renal cancer surgery. (Less)
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author
publishing date
type
Contribution to journal
publication status
published
in
Journal of Biomedical Optics
volume
19
issue
8
publisher
Published by SPIE--the International Society for Optical Engineering in cooperation with International Biomedical Optics Society
external identifiers
  • scopus:84929503777
ISSN
1083-3668
DOI
10.1117/1.JBO.19.8.087005
language
English
LU publication?
no
id
70e04854-3491-4962-bed7-278e0a540472
date added to LUP
2019-03-26 10:33:30
date last changed
2019-04-23 04:47:22
@article{70e04854-3491-4962-bed7-278e0a540472,
  abstract     = {Fourier transform infrared (FT-IR) spectroscopy was applied to characterize the extracellular matrix (ECM) of kidney tumor tissue and normal kidney tissue. Freshly resected tissue samples from 31 patients were pressed on a CaF2 substrate. FT-IR spectra obtained from ECM of tumor tissue exhibit stronger absorption bands in the spectral region from 1000 to 1200 cm−1 and around 1750 cm−1 than those obtained from normal tissue. It is likely that the spectra of ECM of kidney tumor tissue with large increases in the intensities of these<br/>bands represent a higher concentration of fatty acids and glycerol. Amide I and amide II bands are stronger in the spectra of ECM from normal tissue, indicating a higher level of proteins. Our results suggest that FT-IR spectroscopy of the ECM is an innovative emerging technology for real-time intraoperative tumor diagnosis, which may improve margin clearance in renal cancer surgery.},
  articleno    = {087005},
  author       = {Urboniene, Vidita and Pucetaite, Milda and Jankevicius, Feliksas and Zelvys, Arunas and Sablinskas, Valdas and Steiner, Gerald},
  issn         = {1083-3668},
  language     = {eng},
  number       = {8},
  publisher    = {Published by SPIE--the International Society for Optical Engineering in cooperation with International Biomedical Optics Society},
  series       = {Journal of Biomedical Optics},
  title        = {Identification of kidney tumor tissue by infrared spectroscopy of extracellular matrix},
  url          = {http://dx.doi.org/10.1117/1.JBO.19.8.087005},
  volume       = {19},
  year         = {2014},
}