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Cited by 143Spectroscopy Techniques in Biomedical and Chemical ResearchOptical Imaging and Spectroscopy TechniquesSpectroscopy and Quantum Chemical Studies

The DOI matches its Crossref record; 61 of the 61 references it cites were found in a registry or an index.

Raman imaging at biological interfaces: applications in breast cancer diagnosis

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Surmacki, Jakub, Musial, Jacek, Kordek, Radzislaw, Abramczyk, Halina·2013·Molecular Cancer
DOI 10.1186/1476-4598-12-48PMC PMC3681552
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Abstract

Background: One of the most important areas of Raman medical diagnostics is identification and characterization of cancerous and noncancerous tissues. The methods based on Raman scattering has shown significant potential for probing human breast tissue to provide valuable information for early diagnosis of breast cancer. A vibrational fingerprint from the biological tissue provides information which can be used to identify, characterize and discriminate structures in breast tissue, both in the normal and cancerous environment. Results: The paper reviews recent progress in understanding structure and interactions at biological interfaces of the human tissue by using confocal Raman imaging and IR spectroscopy. The important differences between the noncancerous and cancerous human breast tissues were found in regions characteristic for vibrations of carotenoids, fatty acids, proteins, and interfacial water. Particular attention was paid to the role played by unsaturated fatty acids and their derivatives as well as carotenoids and interfacial water. Conclusions: We demonstrate that Raman imaging has reached a clinically relevant level in regard to breast cancer diagnosis applications. The results presented in the paper may have serious implications on understanding mechanisms of interactions in living cells under realistically crowded conditions of biological tissue.

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Figure 1 Raman image and spectra of the noncancerous and cancerous breast tissue of the patient P81. Noncancerous breast tissue: (A) Microscope image, (B) Raman image (400x400 μm) from the region marked in (A), (C) Raman spectra (integration time: 0.05 s). Cancerous breast tissue: (D) Microscope image, (E) Raman image (300x300 μm) from the region marked in (D), (F) Raman spectra (integration time: 0.036 s). The colors of the spectra correspond to the colors in the image. Mixed areas are displayed as mixed colors.
Figure 1 Raman image and spectra of the noncancerous and cancerous breast tissue of the patient P81. Noncancerous breast tissue: (A) Microscope image, (B) Raman image (400x400 μm) from the region marked in (A), (C) Raman spectra (integration time: 0.05 s). Cancerous breast tissue: (D) Microscope image, (E) Raman image (300x300 μm) from the region marked in (D), (F) Raman spectra (integration time: 0.036 s). The colors of the spectra correspond to the colors in the image. Mixed areas are displayed as mixed colors.CC BY · PubMed Central
Figure 2 Raman spectra of the noncancerous tissue of the patient P81. Raman spectra were obtained from various points in the sample from the regions marked with crosses. The colors of the spectra correspond to the colors of the crosses.
Figure 2 Raman spectra of the noncancerous tissue of the patient P81. Raman spectra were obtained from various points in the sample from the regions marked with crosses. The colors of the spectra correspond to the colors of the crosses.CC BY · PubMed Central
Figure 3 Raman and IR spectra for the noncancerous and cancerous breast tissues (infiltrating ductal carcinoma). (A) Raman spectra of the patient P81; (B) IR spectra of the patient P83; (C) Raman spectrum for the noncancerous normal breast tissues of the patient P81 and IR spectrum for the noncancerous normal breast tissues of the patient P83; (D) Raman spectrum for the cancerous breast tissues of the patient P81 and IR spectrum for the cancerous breast tissues of the patient P83.
Figure 3 Raman and IR spectra for the noncancerous and cancerous breast tissues (infiltrating ductal carcinoma). (A) Raman spectra of the patient P81; (B) IR spectra of the patient P83; (C) Raman spectrum for the noncancerous normal breast tissues of the patient P81 and IR spectrum for the noncancerous normal breast tissues of the patient P83; (D) Raman spectrum for the cancerous breast tissues of the patient P81 and IR spectrum for the cancerous breast tissues of the patient P83.CC BY · PubMed Central
Figure 4 H-bond interactions of interfacial water at biological interfaces. (A) dry sample, (B) wet sample; the blue line through the cartoon represents the tissue/water interfaces. The orange and green sites represent the hydrophilic moieties on the surface of the tissue. The red and white circles represent the oxygen and hydrogen atoms in water molecules, respectively.
Figure 4 H-bond interactions of interfacial water at biological interfaces. (A) dry sample, (B) wet sample; the blue line through the cartoon represents the tissue/water interfaces. The orange and green sites represent the hydrophilic moieties on the surface of the tissue. The red and white circles represent the oxygen and hydrogen atoms in water molecules, respectively.CC BY · PubMed Central
Figure 5 Raman images. (A) noncancerous and (B) cancerous breast tissue, Filters: carotenoids (1518 cm-1), monounsaturated fatty acids (2854 cm-1), proteins (2930 cm-1) and autofluorescence (1800 cm-1).
Figure 5 Raman images. (A) noncancerous and (B) cancerous breast tissue, Filters: carotenoids (1518 cm-1), monounsaturated fatty acids (2854 cm-1), proteins (2930 cm-1) and autofluorescence (1800 cm-1).CC BY · PubMed Central
Figure 6 Raman spectra of fatty acids compared with the Raman spectra of cancerous and noncancerous breast tissues. (A) 1A - oleic acid (OA), 2A - linoleic acid (LA), 3A - α-linolenic acid (ALA), 4A - eicosapentaenoic acid (EPA), 5A - docosahexaenoic acid (DHA), (B) 1B - oleic acid (OA), 2B - linoleic acid (LA), 3B - γ-linolenic acid (GLA), 4B - arachidonic acid (AA). (C) Comparison between the Raman spectrum of the cancerous tissue (patient P81) and the spectrum of a muscle tissue from pork meat (Pr 24).
Figure 6 Raman spectra of fatty acids compared with the Raman spectra of cancerous and noncancerous breast tissues. (A) 1A - oleic acid (OA), 2A - linoleic acid (LA), 3A - α-linolenic acid (ALA), 4A - eicosapentaenoic acid (EPA), 5A - docosahexaenoic acid (DHA), (B) 1B - oleic acid (OA), 2B - linoleic acid (LA), 3B - γ-linolenic acid (GLA), 4B - arachidonic acid (AA). (C) Comparison between the Raman spectrum of the cancerous tissue (patient P81) and the spectrum of a muscle tissue from pork meat (Pr 24).CC BY · PubMed Central

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Metadata

Authors
Surmacki, J., Musial, J., Kordek, R., & Abramczyk, H.
Affiliations
Lodz University of Technology (PL)
Corresponding author
Abramczyk, Halina
ORCID
Venue
Molecular Cancer
Publisher
Springer Science and Business Media LLC
Published
2013-05-24
Volume
12
Issue
1
Pages
48-48
ISSN
1476-4598 (ISSN-L)
DOI
10.1186/1476-4598-12-48
PMC
PMC3681552
OpenAlex
W2132590101
Cited by
143
References
61
Citations by year
2026: 5 · 2025: 8 · 2024: 8 · 2023: 9 · 2022: 6 · 2021: 15 · 2020: 7 · 2019: 19 · 2018: 11 · 2017: 12 · 2016: 17 · 2015: 13 · 2014: 12 · 2013: 1
FWCI
8.69
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • Molecular Cancer (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
Funders
Uniwersytet Łódzki
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Biophysics › Spectroscopy Techniques in Biomedical and Chemical Research
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Optical Imaging and Spectroscopy Techniques
  • Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Spectroscopy and Quantum Chemical Studies
Keywords
Raman imaging, breast cancer diagnosis, biointerfaces, confocal Raman microscopy, infrared spectroscopy, breast tissue, carotenoids, unsaturated fatty acids, interfacial water, protein vibrations, early cancer detection
MeSH terms
Breast, Breast Neoplasms, Diagnostic Imaging, Female, Humans, Spectrum Analysis, Raman

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