Published online Nov 15, 2018. doi: 10.4251/wjgo.v10.i11.439
Peer-review started: July 20, 2018
First decision: August 31, 2018
Revised: September 6, 2018
Accepted: October 17, 2018
Article in press: October 17, 2018
Published online: November 15, 2018
Processing time: 119 Days and 3.6 Hours
Histopathological evaluation is the gold-standard for cancer diagnosis. However, the diagnostic accuracy of histopathology staining is low, and the protocols for immunohistochemistry are complicated and time-consuming.
To achieve rapid, accurate and minimally invasive cancer diagnosis, a label-free and non-contact diagnostic technology is useful. Raman scattering spectroscopy has been used to analyze several types of biological tissue specimens; however, the clinical significance and diagnostic accuracy of this approach remain unclear. In addition, there are currently no standardized evaluation methods of gastrointestinal tissue spectroscopy analysis for living organisms.
We used the surgically resected stomach of a patient who underwent.
The resected stomach was processed using general histopathological specimen preparation procedures. We produced two consecutive tissue specimens from areas with and without stomach cancer lesions. Each tissue specimen was sliced to a thickness of 3 μm and attached to a low-autofluorescence slide. One of the two tissue specimens was stained with hematoxylin and eosin and used as a reference for laser irradiation positioning by the spectroscopic method. Another tissue specimen was left unstained and used for Raman spectroscopy analysis by a laser light source with a wavelength of 532 nm.
Raman scattering spectrum intensities of 725 cm-1 and 782 cm-1, are associated with the nucleotides adenine and cytosine, respectively. The Raman scattering spectrum intensity ratios of 782 cm-1/620 cm-1, 782 cm-1/756 cm-1, 782 cm-1/1250 cm-1, and 782 cm-1/1263 cm-1 in the gastric adenocarcinoma tissue were significantly higher than those in the normal stomach tissue. In addition, both adenine and cytosine were presumed to be present at higher concentrations in the non-cancerous lymphocytes infiltration area surrounding cancer compared to the cancer area in the gastric adenocarcinoma tissue specimen.
This preliminary experiment suggests the feasibility of our spectroscopic method as a diagnostic tool for gastric cancer using unstained pathological specimens. The Molecular biological differences among cells in the resected stomach tissue can be detected by Raman spectroscopy. Adenine and cytosine may be influential substances for histopathological diagnosis by Raman spectroscopy. By focusing on adenine and cytosine, we were able to distinguish qualitative differences in the stomach tissue by Raman spectroscopy. Both adenine and cytosine were presumed to be present at higher concentration in the gastric adenocarcinoma tissue were significantly higher than those in the normal stomach tissue. We measured the Raman scattering spectrum intensities at 620 cm-1 (C-C twisting mode of phenylalanine), 725 cm-1 (adenine), 756 cm-1 (symmetric breathing of tryptophan), 782 cm-1 (cytosine), 1002 cm-1 (phenylalanine), 1250 cm-1 (amide IIIβ-sheet), and 1263 cm-1 (amide IIIα-Helix), corresponding to the Raman scattering wavenumber of the organism constitution organic substance. We then calculated the ratio of the Raman scattering spectrum intensities of 725 cm-1 and 782 cm-1, associated with the nucleotides, to those of the others. We compared the ratio of the Raman scattering spectrum intensities of 725 cm-1 and 782 cm-1, associated with the nucleotides adenine and cytosine to qualitatively evaluate tissue. We found that Raman scattering spectrum intensities associated with the nucleotides adenine and cytosine were higher in adenocarcinoma than in normal tissue specimen of the stomach. In conclusion, we were able to distinguish qualitative differences in the stomach tissue by Raman spectroscopy.
The Molecular biological differences among cells in the resected stomach tissue can be detected by Raman spectroscopy. In the future, we should raise the accuracy of estimation by Raman spectroscopy and to complete it as a technology that can obtain both high-precision morphological information and qualitative information.