Abstract:BCC (Basal cell carcinoma) and SCC (Squamous cell carcinoma) account for the vast majority of cases of non-melanoma skin cancer (NMSC). The gold standard for the diagnosis remains biopsy, which...
“…Specifically coupling SRS with bioorthogonal Raman reporters has shown immense potential in biomedical imaging due to high sensitivity and molecular specificity. In depth Raman modalities such as spatially-offset and transmission Raman spectroscopy, 156–160 merged with surface-enhancement Raman spectroscopy (surface-enhancement spatially offset Raman spectroscopy-SESORS), have yet to be combined with bioorthogonal cell – silent Raman tags. We believe that such an approach would entail great potential given the recent advances in the field of theranostics.…”
Section: Discussion-prospects and Potentialmentioning
Spectroscopic studies increasingly employ Raman tags exhibiting a signal in the cell - silent region of the Raman spectrum (1800- 2800 cm-1), where bands arising from biological molecules are inherently...
“…Specifically coupling SRS with bioorthogonal Raman reporters has shown immense potential in biomedical imaging due to high sensitivity and molecular specificity. In depth Raman modalities such as spatially-offset and transmission Raman spectroscopy, 156–160 merged with surface-enhancement Raman spectroscopy (surface-enhancement spatially offset Raman spectroscopy-SESORS), have yet to be combined with bioorthogonal cell – silent Raman tags. We believe that such an approach would entail great potential given the recent advances in the field of theranostics.…”
Section: Discussion-prospects and Potentialmentioning
Spectroscopic studies increasingly employ Raman tags exhibiting a signal in the cell - silent region of the Raman spectrum (1800- 2800 cm-1), where bands arising from biological molecules are inherently...
“…The BCC spectra show a stronger presence of the 1743 cm −1 band. This may be explained by the lipid contribution from the ester groups in the glycerol heads of triacylglycerol in the adipose tissue below the dermis in the C-O stretching mode [49,60], or it could also suggest a higher amount of melanin owing to more pigment in the BCC patient group, as a subgroup of pigmented BCCs exists [57]. The results indicated a favorable relationship between lipid content and BCC and between protein content and SCC.…”
Section: Clinical Studiesmentioning
confidence: 92%
“…The spectrum data and the related histopathology data were analyzed in order to find potential predictors for lesion detection. PCA revealed that while wavenumbers 507, 631, 772, 870, 1076, 1189, 1268, 1300, 1435, and 1531 cm −1 were linked to SCC, wavenumbers 937, 1003, 1125, 1339, and 1640 cm −1 were not [49]. Certain spectral characteristics distinguishing the two subtypes are bands associated with phenylalanine (at 1003 and 1339 cm −1 ), skeletal (at 937 cm −1 ), and amide I (at 1640 cm −1 ) collagen vibrations, which are notably more pronounced in the SCC type [27,56,57].…”
Section: Clinical Studiesmentioning
confidence: 99%
“…Lipid spectrum features were noted in the BCC and SCC groups, as well. More precisely, PC2 loadings displayed negative peaks (characteristic of the BCC group) at 1659 cm-3 and 1080 cm −3 , which are linked to unsaturated lipids, primarily triolein from adipocytes, and fall between 1260 and 1310 cm −1 [49]. The esterification of glycerol's three hydroxy groups with oleic acid forms triolein, a triglyceride important for epidermal skin [61].…”
Raman spectroscopy, a non-invasive diagnostic technique capturing molecular vibrations, offers significant advancements in skin cancer diagnostics. This review delineates the ascent of Raman spectroscopy from classical methodologies to the forefront of modern technology, emphasizing its precision in differentiating between malignant and benign skin tissues. Our study offers a detailed examination of distinct Raman spectroscopic signatures found in skin cancer, concentrating specifically on squamous cell carcinoma, basal cell carcinoma, and melanoma, across both in vitro and in vivo research. The discussion extends to future possibilities, spotlighting enhancements in portable Raman instruments, the adoption of machine learning for spectral data refinement, and the merging of Raman imaging with other diagnostic techniques. The review culminates by contemplating the broader implications of these advancements, suggesting a trajectory that may significantly optimize the accuracy and efficiency of skin cancer diagnostics.
“…The first attempts to incorporate SORS into biomedical research began in 2006, when SORS spectra of bone were obtained, contributing to the development of in vivo bone disease detection in mice and humans. , Further studies have focused on monitoring bone mineralization in tissue engineering and bone healing in rat calvarial defects . However, most importantly, SORS-based techniques have been used to characterize soft tissues, identifying microcalcifications in breast tissue phantoms, nonmelanoma cancer subtypes in skin biopsy samples, and skin changes caused by sunburn studied on human volunteers, thus having introduced entirely novel possibilities for a diverse array of analytical applications. Moreover, integrating SORS with surface-enhanced Raman spectroscopy (SESORS) enables signal detection at greater depths , to reveal and target disease states by sensing glucose concentrations, , neurochemicals, or the presence of tumor spheroids .…”
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