The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Applications of Raman spectroscopy in cancer diagnosis
Open accessAbstract
Novel approaches toward understanding the evolution of disease can lead to the discovery of biomarkers that will enable better management of disease progression and improve prognostic evaluation. Raman spectroscopy is a promising investigative and diagnostic tool that can assist in uncovering the molecular basis of disease and provide objective, quantifiable molecular information for diagnosis and treatment evaluation. This technique probes molecular vibrations/rotations associated with chemical bonds in a sample to obtain information on molecular structure, composition, and intermolecular interactions. Raman scattering occurs when light interacts with a molecular vibration/rotation and a change in polarizability takes place during molecular motion. This results in light being scattered at an optical frequency shifted (up or down) from the incident light. By monitoring the intensity profile of the inelastically scattered light as a function of frequency, the unique spectroscopic fingerprint of a tissue sample is obtained. Since each sample has a unique composition, the spectroscopic profile arising from Raman-active functional groups of nucleic acids, proteins, lipids, and carbohydrates allows for the evaluation, characterization, and discrimination of tissue type. This review provides an overview of the theory of Raman spectroscopy, instrumentation used for measurement, and variation of Raman spectroscopic techniques for clinical applications in cancer, including detection of brain, ovarian, breast, prostate, and pancreatic cancers and circulating tumor cells.
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Cites
Siegel, R. L., Miller, K. D., & Jemal, A. (2017) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21387 · Cited by 14,712
Plaks, V., Koopman, C. D., & Werb, Z. (2013) · Science · doi:10.1126/science.1235226 · Cited by 722
Surface-enhanced resonance Raman scattering nanostars for high-precision cancer imaging
Harmsen, S., Huang, R., Wall, M. A., Karabeber, H., Samii, J. M., Spaliviero, M., White, J. R., Monette, S., O’Connor, R., Pitter, K. L., et al. (2015) · Science Translational Medicine · doi:10.1126/scitranslmed.3010633 · Cited by 296
Raman imaging at biological interfaces: applications in breast cancer diagnosis
Surmacki, J., Musial, J., Kordek, R., & Abramczyk, H. (2013) · Molecular Cancer · doi:10.1186/1476-4598-12-48 · Cited by 143
Huang, R., Harmsen, S., Samii, J. M., Karabeber, H., Pitter, K. L., Holland, E. C., & Kircher, M. F. (2016) · Theranostics · doi:10.7150/thno.13842 · Cited by 111
Cited by
Ralbovsky, N. M., & Lednev, I. K. (2020) · Chemical Society Reviews · doi:10.1039/d0cs01019g · Cited by 328
Hyperspectral unmixing for Raman spectroscopy via physics-constrained autoencoders
Georgiev, D., Fernández-Galiana, Á., Vilms Pedersen, S., Papadopoulos, G., Xie, R., Stevens, M. M., & Barahona, M. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2407439121 · Cited by 50
“…an important analytical tool in a myriad of scientific domains, from chemistry [11, 12], biology [13, 14, 15, 16], and medicine [17, 18, 19, 20, 21, 22, 23], to materials science [24, 25], pharmacology [26, 27, 28], environmental science [29, 30, 31], food quality control [32, 33], and even…”
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Metadata
- Authors
- Auner, G. W., Koya, S. K., Huang, C., Broadbent, B., Trexler, M., Auner, Z., Elias, A., Mehne, K. C., & Brusatori, M. A.
- Venue
- Cancer and Metastasis Reviews
- Published
- 2018-12
- Volume
- 37
- Issue
- 4
- Pages
- 691-717
- ISSN
- 0167-7659 (ISSN-L)
- 1573-7233
- OpenAlex
- W2905529905
- Cited by
- 385
- References
- 5
- FWCI
- 3.06
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Auner, G. W., Koya, S. K., Huang, C., Broadbent, B., Trexler, M., Auner, Z., Elias, A., Mehne, K. C., & Brusatori, M. A. (2018). Applications of Raman spectroscopy in cancer diagnosis. Cancer and Metastasis Reviews. https://doi.org/10.1007/s10555-018-9770-9
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