Raman imaging at biological interfaces: applications in breast cancer diagnosis
Open accessAbstract
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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The Raman-silent region (1750-2750 cm−1) is a spectral window where Raman bands from biological molecules and tissues are minimized.
“a spectral window where Raman bands from biological molecules and tissues are minimized 13, 14”
From Design and evaluation of Raman reporters for the Raman-silent region (2022) · cites this paper as [14]
The Discussion lists Raman peaks in breast tissue at 1750 cm−1 and then at 2854 cm−1 and above, consistent with few bands in the intervening window. It does not identify 1750–2750 cm−1 as a Raman-silent region or establish that bands are minimized there across biological molecules and tissues generally. (LLM, conf=0.82)
Experimental — accuracy not yet measuredSERS imaging can suffer from poor signal-to-noise ratio because Raman bands from biological tissues can overlap with those of the Raman reporter molecule.
“this imaging technique can suffer from poor signal-to-noise ratio, as the complexity of biological tissues can lead to overlapping of Raman bands from tissues and the Raman reporter molecule utilized.”
From Design and evaluation of Raman reporters for the Raman-silent region (2022) · cites this paper as [14]
The Background discusses SERS signal enhancement and SERS-based biotags, but does not describe poor signal-to-noise ratio caused by overlap between tissue bands and reporter-molecule bands. Searches for signal-to-noise, overlapping bands, and Raman reporter molecules found no passage addressing that mechanism. (LLM, conf=0.76)
Experimental — accuracy not yet measured
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- Authors
- Surmacki, J., Musial, J., Kordek, R., & Abramczyk, H.
- Affiliations
- Lodz University of Technology (PL)
- Corresponding author
- Abramczyk, Halina
- Venue
- Molecular Cancer
- Published
- 2013-05-24
- Volume
- 12
- Issue
- 1
- Pages
- 48-48
- ISSN
- 1476-4598 (ISSN-L)
- 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
- gold
- doi.org
- 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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