Factor analysis of cancer fourier transform infrared evanescent wave fiberoptical (FTIR-FEW) spectra

Sukuta, Sydney; Bruch, R.

doi:10.1002/(sici)1096-9101(1999)24:5<382::aid-lsm9>3.0.co;2-g

Cited by 37 publications

(22 citation statements)

References 7 publications

(11 reference statements)

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“…The second band, centered around 1540 cm −1 , corresponds to the stretching of amide II (26)(27)(28)(29). Based on the literature, the There is a shift of the peak in 1646-1655 cm −1 , due to amide I, because the absorption in this region is associated with the conformation of the alpha helix structure (∼ 1646 cm −1 ) and the beta sheet (∼ 1652 cm −1 ) of proteins (3,4,22). This conformation might have suffered some degradation when the cells were dried.…”

Section: Resultsmentioning

confidence: 98%

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Fourier Transform Infrared Spectroscopy of Skin Cancer Cells and Tissues

Mostaço-Guidolin

Murakami

Nomizo

et al. 2009

Applied Spectroscopy Reviews

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The aim of this review is to combine all the information related to the characterization of skin tissues and cells, focusing on the identification of the specific biochemical characteristics of skin cancer. We have characterized two types of melanoma by FTIR spectroscopy: a murine melanoma (B16F10 cell line) and a human melanoma (C8161 cell line). The cells were deposited on IR transparent CaF 2 windows, the spectral range used lay between 900-4000 cm −1 , transmission mode with 2 cm −1 resolution, and 32 scans. A biochemical association is presented for all the absorption bands identified in this study. Besides the characterization of both cell lines above, a collection of works done in the area of skin cancer was also carried out, in this review; some interesting results obtained by different authors with respect to the characterization of different samples (melanomas, follicle sheath, basal cell carcinoma, epidermis tissues, dermis tissue, and human stratum corneum) are presented and compared to the chemical and biological associations performed in each case. The identification of biochemical injuries provides important information that, associated with clinical examination, can assist the diagnosis of diseases. Several FTIR techniques can be used in the diagnosis of biochemical changes in biological tissues, by identifying molecular markers associated with malignant and benign changes or variations in the composition of amino acids in tissues and cells. In the near future, a further study to compare histopatological analysis and biochemical characterization by FTIR spectroscopy would be interesting, in order

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Section: Resultsmentioning

confidence: 98%

“…Downloaded by [University of Chicago Library] at 16:10 20 November 2014 positions of the amide I and II bands are indicative of protein structure(18)(19)(20)(21)(22)(23)(24)(25)(26)(27)(28)(29)(30), as shown inFigure 1.…”

mentioning

confidence: 99%

Fourier Transform Infrared Spectroscopy of Skin Cancer Cells and Tissues

Mostaço-Guidolin

Murakami

Nomizo

et al. 2009

Applied Spectroscopy Reviews

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“…There are reports of the application of FTIR spectroscopy in the diagnosis of various cells of cancer. [10][11][12] Gao et al 13 carried out a FTIR study of the human breast, normal and carcinoma tissues, and their method of analysis resulted in nearly 100% diagnostic accuracy of carcinoma tissues from normal ones. The grading of breast tumors has also been achieved by FTIR successfully.…”

Section: Introductionmentioning

confidence: 99%

Diagnostic potential of Fourier-transform infrared microspectroscopy and advanced computational methods in colon cancer patients

et al. 2002

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Colon cancer is the third leading class of cancer causing increased mortality in developed countries. A polyp is one type of lesion observed in a majority of colon cancer patients. Here, we report a microscopic Fourier transform infrared (FTIR) study of normal, adenomatous polyp and malignant cells from biopsies of 24 patients. The goal of our study was to differentiate an adenomatous polyp from a malignant cell using FTIR microspectroscopy and artificial neural network (ANN) analysis. FTIR spectra and biological markers such as phosphate, RNA/DNA derived from spectra, were useful in identifying normal cells from abnormal ones that consisted of adenomatous polyp and malignant cells. However, the biological markers failed to differentiate between adenomatous polyp and malignant cases. By employing a combination of wavelet features and an ANN based classifier, we were able to classify the different cells as normal, adenomatous polyp and cancerous in a given tissue sample. The percentage of success of classification was 89%, 81%, and 83% for normal, adenomatous polyp, and malignant cells, respectively. A comparison of the method proposed with the pathological method is also discussed.

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“…Figure 5b displays a schematic diagram of how different biopsies are classified and the closely related conditions tend to group together. Cluster analysis of FEWS spectra of human skin samples using a chemical factor analysis has been shown to differentiate melanoma from basaloma (Sukuta and Bruch 1999).…”

Section: Advances In Data Analysismentioning

confidence: 99%