Stage Determination of Breast Cancer Biopsy Using Raman Spectroscopy and Multivariate Analysis

2011 ◽  
Author(s):  
J. L. González-Solís ◽  
B. I. Aguiñaga-Serrano ◽  
J. C. Martínez-Espinosa ◽  
A. Oceguera-Villanueva ◽  
Leonardo Longo
Keyword(s):  
Breast Cancer ◽  
Raman Spectroscopy ◽  
Multivariate Analysis ◽  
Cancer Biopsy

scholarly journals Indication of high lipid content in epithelial-mesenchymal transitions of breast tissues

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Siti Norbaini Sabtu ◽  
S. F. Abdul Sani ◽  
L. M. Looi ◽  
S. F. Chiew ◽  
Dharini Pathmanathan ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Raman Spectroscopy ◽  
Multivariate Analysis ◽  
Nucleic Acids ◽  
Raman Spectra ◽  
Cancer Progression ◽  
Component Analysis ◽  
Breast Cancer Tissue ◽  
Metabolic Changes ◽  
Cancer Tissue

AbstractThe epithelial-mesenchymal transition (EMT) is a crucial process in cancer progression and metastasis. Study of metabolic changes during the EMT process is important in seeking to understand the biochemical changes associated with cancer progression, not least in scoping for therapeutic strategies aimed at targeting EMT. Due to the potential for high sensitivity and specificity, Raman spectroscopy was used here to study the metabolic changes associated with EMT in human breast cancer tissue. For Raman spectroscopy measurements, tissue from 23 patients were collected, comprising non-lesional, EMT and non-EMT formalin-fixed and paraffin embedded breast cancer samples. Analysis was made in the fingerprint Raman spectra region (600–1800 cm−1) best associated with cancer progression biochemical changes in lipid, protein and nucleic acids. The ANOVA test followed by the Tukey’s multiple comparisons test were conducted to see if there existed differences between non-lesional, EMT and non-EMT breast tissue for Raman spectroscopy measurements. Results revealed that significant differences were evident in terms of intensity between the non-lesional and EMT samples, as well as the EMT and non-EMT samples. Multivariate analysis involving independent component analysis, Principal component analysis and non-negative least square were used to analyse the Raman spectra data. The results show significant differences between EMT and non-EMT cancers in lipid, protein, and nucleic acids. This study demonstrated the capability of Raman spectroscopy supported by multivariate analysis in analysing metabolic changes in EMT breast cancer tissue.

scholarly journals Inflammatory breast cancer. Determination of prognostic factors by univariate and multivariate analysis

Cancer ◽  
1987 ◽  
Vol 60 (4) ◽  
pp. 897-902 ◽  
Author(s):  
Bernard Chevallier ◽  
Bernard Asselain ◽  
Antoine Kunlin ◽  
Corinne Veyret ◽  
Philippe Bastit ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Multivariate Analysis ◽  
Prognostic Factors ◽  
Inflammatory Breast Cancer

Precise Determination of Percent Cure of Epoxide Polymers and Composites via Fiber-Optic Raman Spectroscopy and Multivariate Analysis

1997 ◽  
Vol 51 (2) ◽  
pp. 247-252 ◽  
Author(s):  
Jeffrey F. Aust ◽  
Karl S. Booksh ◽  
Christopher M. Stellman ◽  
Richard S. Parnas ◽  
Michael L. Myrick
Keyword(s):  
Raman Spectroscopy ◽  
Multivariate Analysis ◽  
Real Time ◽  
Fiber Optic ◽  
Precise Determination ◽  
Probe Design ◽  
Epoxide Polymers ◽  
Time Determination

A method for real-time determination of the percent cure of epoxies via in situ fiber-optic Raman spectroscopy has been developed. This method utilizes a probe design developed for real-time monitoring of polymer curing and multivariate analysis to interpret the data and determine percent cure. This method was demonstrated to be reliable to ±0.54% of cure in laboratory samples over a 50–99% cure range. A preliminary study measuring cure percentage in an industrial, glass-reinforced composite has been shown to be reliable to ±0.82% in the 40–90% cure range.

Determination of HER2 amplification status in breast cancer cells using Raman spectroscopy

2010 ◽  
Author(s):  
Xiaohong Bi ◽  
Brent Rexer ◽  
Carlos L. Arteaga ◽  
Mingsheng Guo ◽  
Ming Li ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Raman Spectroscopy ◽  
Cancer Cells ◽  
Breast Cancer Cells ◽  
Her2 Amplification

scholarly journals In vitro monitoring of time and dose dependent cytotoxicity of aminated nanoparticles using Raman spectroscopy

The Analyst ◽  
2016 ◽  
Vol 141 (18) ◽  
pp. 5417-5431 ◽  
Author(s):  
Esen Efeoglu ◽  
Alan Casey ◽  
Hugh J. Byrne
Keyword(s):  
Raman Spectroscopy ◽  
Multivariate Analysis ◽  
Cellular Toxicity ◽  
Molecular Changes ◽  
Analysis Techniques ◽  
Raman Spectral ◽  
Dose Dependent

Monitoring of time and dose dependent molecular changes by using Raman spectroscopy with the aid of multivariate analysis techniques and determination of Raman spectral markers of cellular toxicity.

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