The Clinical Application of Raman Spectroscopy for Breast Cancer Detection

Gao, Pin; Han, Bing; Du, Ye; Zhao, Gang; Yu, Zhengping; Xu, Weiqing; Zheng, Chao; Fan, Zhimin

doi:10.1155/2017/5383948

Cited by 33 publications

(23 citation statements)

References 72 publications

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“…In the normal tissue significance of lipid (f=64) is high, while that of protein (f=47), amide I (f=11), and amide III (f=31) are not. The result shows that protein and its components have a significant impact on the malignant cluster and lipid has a significant impact on the noncancerous cluster [17].…”

Section: K-means Cluster Analysismentioning

confidence: 99%

Micro Raman Spectroscopic Analysis of Lobular Carcinoma Tissues

Reveendran

Varghese

Kumar

et al. 2018

Asian J Pharm Clin Res

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Objective: For the past 20 decades, vibrational spectroscopy based studies are undergoing around the world to detect cancer at the earliest stage. Since vibrational spectroscopic techniques have the ability to measure the biochemical changes occur during the time of mutation, which may be the reason for cell proliferation. Biochemical changes may appear in the tissues and blood before the tumor formation. The objective of this work is to study the potential of Raman spectroscopy to detect biochemical changes in the normal and malignant tissues.Methods: In this research work, 10 Raman spectra were acquired from ex vivo samples of human breast tissue (normal and lobular carcinoma) of 10 patients after the removal during prophylactic mastectomy surgery and biopsy. Data analysis was performed using k-means clustering using SPSS and intensity ratio analysis.Result: Intensity variation in the Raman spectra of normal and malignant tissues clearly indicate that Raman spectra are capable to distinguish between normal and malignant tissues. A number of peaks are more in the case of malignant tissues and the presence of amide I and amide III indicate the predominance of protein in malignant tissues. Intensity ratio analysis and K-means clustering analysis also show the significance of protein in lobular carcinoma tissues.Conclusion: This research work proves the potential of Raman spectroscopy to differentiate between the normal breast tissues and lobular carcinoma tissues.

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Section: K-means Cluster Analysismentioning

confidence: 99%

Micro Raman Spectroscopic Analysis of Lobular Carcinoma Tissues

Reveendran

Varghese

Kumar

et al. 2018

Asian J Pharm Clin Res

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“…Different spectroscopic techniques have been used to characterize human breast cancer tissue. Techniques such as magnetic resonance imaging (MRI) [ 1 ], infrared spectroscopy [ 2 , 3 , 4 ], and Raman spectroscopy [ 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 ] have been proven to be powerful methods in characterizing and understanding breast tissue. From a chemical point of view, biological specimens consist of complex mixtures of heterogeneous classes of molecules (e.g., water, lipids, proteins, carbohydrates, and nucleic acids).…”

Section: Introductionmentioning

confidence: 99%

Nitrogen-Doped Titanium Dioxide Nanoparticles Modified by an Electron Beam for Improving Human Breast Cancer Detection by Raman Spectroscopy: A Preliminary Study

Surmacki

2020

Diagnostics

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Titanium dioxide (TiO2) is commonly used as a pigment in paints, paper products, polymer compositions, and cosmetic products, and even as a food additive or drug coating material. In recent times, it has also been used in photovoltaic cells, semiconductors, biomedical devices, and air purification. In this paper, the potential application of nitrogen-doped TiO2 nanoparticles modified by an electron beam for improving human breast cancer detection by Raman spectroscopy is presented. Raman spectroscopy (RS) is a promising noninvasive analytical technique in cancer detection that enables us to retrieve a molecular signature of the biochemical composition of cancerous tissue. However, RS still has some challenges in signal detection, mainly related to strong concurrent background fluorescence from the analyzed tissue. The Raman signal scattering is several orders of magnitude smaller than the fluorescence intensity, and strong fluorescence masks a much weaker Raman signal. The Raman results demonstrate that the N-doped TiO2 electron beam-irradiated nanoparticles amplify the Raman scattering. The intrinsic properties of the adsorbed molecules from human breast tissue and the surface properties of the N-doped TiO2 electron beam-irradiated nanoparticles (the excited electron–hole pair at the surface) have a significant effect on the enhanced Raman signal intensity.

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“…One of the several candidate techniques that can achieve this goal is optical spectroscopy, of which Raman spectroscopy (RS) is a viable option due to low interference of water in Raman signals and its amenability to in vivo applications. RS, and other optical spectroscopic techniques, can accurately measure subtle biochemical changes sensitively and specifically and, hence, have been widely explored for clinical applications ranging from screening, diagnosis, prognosis, and treatment of several cancers, including breast cancers . Specifically, for prognosis, RS has been used to study radiation response in breast, lung and prostrate tumor cells, radiotherapy response in cervix cancer patients, radiation damage in mouse brain, and bone .…”

Section: Introductionmentioning

confidence: 99%

In vivo Raman spectroscopy of breast tumors prephotodynamic and postphotodynamic therapy

Bhattacharjee

Fontana

Raniero

et al. 2018

J Raman Spectroscopy

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Breast cancer is most fatal cancer among women worldwide. The high mortality can be attributed to late detection and low treatment efficacy. Treatment is difficult owing to the multitude of breast cancer subtypes and making decisions on therapeutic strategy difficult. A tool to predict treatment prognosis may greatly aid this decision making. Currently available prediction methods have low accuracy in addition to several other disadvantages. Of the several new techniques being investigated for prognosis prediction, Raman spectroscopy (RS) has the advantage of high sensitivity, rapidity, and amenability to in vivo applications, making it ideal for clinical translation. In this study, we have evaluated the biochemical changes posttherapy with respect to pretherapy using RS. In vivo Raman spectra acquired from live rat breast tumors (skin removed) without treatment, 24 hr postphotosensitizer injection and 24 hr after photodynamic therapy, were analyzed using multivariate principal component—linear discriminant analysis. Relative increase in some spectral signatures associated with nucleic acids, amino acids, and proteins, especially collagen, were observed posttherapy; and pretherapy and posttherapy spectra could be classified with 100% efficiency. The ability of RS to detect these changes suggests possibility of deciphering spectral markers for prognostic applications in future.

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The Clinical Application of Raman Spectroscopy for Breast Cancer Detection

Cited by 33 publications

References 72 publications

Micro Raman Spectroscopic Analysis of Lobular Carcinoma Tissues

Micro Raman Spectroscopic Analysis of Lobular Carcinoma Tissues

Nitrogen-Doped Titanium Dioxide Nanoparticles Modified by an Electron Beam for Improving Human Breast Cancer Detection by Raman Spectroscopy: A Preliminary Study

In vivo Raman spectroscopy of breast tumors prephotodynamic and postphotodynamic therapy

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