Differentiating melanoma and healthy tissues based on elasticity-specific Brillouin microspectroscopy

Troyanova‐Wood, Maria; Meng, Zhaokai; Yakovlev, Vladislav V.

doi:10.1364/boe.10.001774

Cited by 42 publications

(35 citation statements)

References 51 publications

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“…Given that few studies have reported RS investigations of cartilaginous and chondrosarcoma tissues, our results suggest that the different tumor grades can be unequivocally identified by RS. In addition, because underlying progressive collagen degradation, our next development of chondrosarcoma investigation will be to combine the RS with Brillouin spectroscopy 43,44 . As with RS, Brillouin signal is based on inelastic light scattering processes.…”

Section: Discussionmentioning

confidence: 99%

Contribution of Raman Spectroscopy to Diagnosis and Grading of Chondrogenic Tumors

D’Acunto

Gaeta

Capanna

et al. 2020

Sci Rep

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In the last decade, Raman Spectroscopy has demonstrated to be a label-free and non-destructive optical spectroscopy able to improve diagnostic accuracy in cancer diagnosis. This is because Raman spectroscopic measurements can reveal a deep molecular understanding of the biochemical changes in cancer tissues in comparison with non-cancer tissues. In this pilot study, we apply Raman spectroscopy imaging to the diagnosis and grading of chondrogenic tumors, including enchondroma and chondrosarcomas of increasing histologic grades. The investigation included the analysis of areas of 50×50 μm 2 to approximately 200×200 μm 2 , respectively. Multivariate statistical analysis, based on unsupervised (Principal Analysis Components) and supervised (Linear Discriminant Analysis) methods, differentiated between the various tumor samples, between cells and extracellular matrix, and between collagen and non-collagenous components. The results dealt out basic biochemical information on tumor progression giving the possibility to grade with certainty the malignant cartilaginous tumors under investigation. The basic processes revealed by Raman Spectroscopy are the progressive degrading of collagen type-II components, the formation of calcifications and the cell proliferation in tissues ranging from enchondroma to chondrosarcomas. This study highlights that Raman spectroscopy is particularly effective when cartilaginous tumors need to be subjected to histopathological analysis. Cancer diagnosis remains one of the biggest challenges in medicine. The development of new noninvasive strategies or the improvements of existing ones makes Raman Spectroscopy (RS) fundamental for diagnosing the chemical compositions of cells and tissues. RS is able to probe fundamentals vibrational states of biomolecules, and exploits a label-free and non-destructive optical approach. RS is thus being used more and more frequently to analyses biological tissues 1-6. In fact, for various types of cancers, in vivo biopsy imaging and histopathological analyses are carried out using RS 7-11. RS is also exploited to evaluate the biochemical attributes of bones, and has revealed pathological changes in the components of the bone matrices. These changes include alterations in phosphate, carbonate and collagen degradation, as well as spectral changes in terms of bone metastasis primed by prostate and breast cancer 11-13. With these abilities, the application of RS to the early diagnosis of bone tumors is more than ever necessary. In the present pilot study, we apply the RS spectral imaging technique to improve non-destructive diagnosis and grading of chondrogenic tumors. Cartilaginous tumors are the most frequent primary bone tumors. While the true incidence of enchondromas (ECs) is difficult to determine because they are often asymptomatic, central chondrosarcoma (CS) accounts for approximately 20% of malignant bone tumors 14 , with an incidence, for example, of 8.78 per million inhabitants between 2005 and 2013 in the Netherlands 15 , whereas the overall rate inci...

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Section: Discussionmentioning

confidence: 99%

Contribution of Raman Spectroscopy to Diagnosis and Grading of Chondrogenic Tumors

D’Acunto

Gaeta

Capanna

et al. 2020

Sci Rep

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“…During the tumor growth, the cancer cells produced a high content of melanin pigment, which could be obtained by the surrounding skin cells through intercellular transfer and cell fusion. 39 Intracellularly, the melanin is present in the form of microsized granules, i.e., melanosomes, which are quite hard to deform. 40 The accumulation of melanosomes thus led to the increase of stiffness and the mildly bluish color observed on the adjacent regions.…”

Section: Resultsmentioning

confidence: 99%

Rapid Noninvasive Skin Monitoring by Surface Mass Recording and Data Learning

Zhu

Lesch

et al. 2021

JACS Au

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Skin problems are often overlooked due to a lack of robust and patient-friendly monitoring tools. Herein, we report a rapid, noninvasive, and high-throughput analytical chemical methodology, aiming at real-time monitoring of skin conditions and early detection of skin disorders. Within this methodology, adhesive sampling and laser desorption ionization mass spectrometry are coordinated to record skin surface molecular mass in minutes. Automated result interpretation is achieved by data learning, using similarity scoring and machine learning algorithms. Feasibility of the methodology has been demonstrated after testing a total of 117 healthy, benign-disordered, or malignant-disordered skins. Remarkably, skin malignancy, using melanoma as a proof of concept, was detected with 100% accuracy already at early stages when the lesions were submillimeter-sized, far beyond the detection limit of most existing noninvasive diagnosis tools. Moreover, the malignancy development over time has also been monitored successfully, showing the potential to predict skin disorder progression. Capable of detecting skin alterations at the molecular level in a nonsurgical and time-saving manner, this analytical chemistry platform is promising to build personalized skin care.

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“…Measurements of the Brillouin shift between the three types of samples were statistically significantly different, with non-regressing melanoma observed as stiffer than regressing melanoma and healthy tissue observed as the softest of the three. The results suggest that BS holds valuable potential as a diagnostic and monitoring tool in treating melanoma that would enable physicians to find tumor boundaries with high accuracy [ 94 , 95 ].…”

Section: Biological Applications Of Brillouinmentioning

confidence: 99%

Brillouin Spectroscopy: From Biomedical Research to New Generation Pathology Diagnosis

Riobóo

Gontán

Sanderson

et al. 2021

IJMS

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Brillouin spectroscopy has recently gained considerable interest within the biomedical field as an innovative tool to study mechanical properties in biology. The Brillouin effect is based on the inelastic scattering of photons caused by their interaction with thermodynamically driven acoustic modes or phonons and it is highly dependent on the material’s elasticity. Therefore, Brillouin is a contactless, label-free optic approach to elastic and viscoelastic analysis that has enabled unprecedented analysis of ex vivo and in vivo mechanical behavior of several tissues with a micrometric resolution, paving the way to a promising future in clinical diagnosis. Here, we comprehensively review the different studies of this fast-moving field that have been performed up to date to provide a quick guide of the current literature. In addition, we offer a general view of Brillouin’s biomedical potential to encourage its further development to reach its implementation as a feasible, cost-effective pathology diagnostic tool.

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Differentiating melanoma and healthy tissues based on elasticity-specific Brillouin microspectroscopy

Cited by 42 publications

References 51 publications

Contribution of Raman Spectroscopy to Diagnosis and Grading of Chondrogenic Tumors

Contribution of Raman Spectroscopy to Diagnosis and Grading of Chondrogenic Tumors

Rapid Noninvasive Skin Monitoring by Surface Mass Recording and Data Learning

Brillouin Spectroscopy: From Biomedical Research to New Generation Pathology Diagnosis

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