&lt;title&gt;Cancer diagnosis by infrared spectroscopy: methodological aspects&lt;/title&gt;

Jackson, Michael; Kim, Keith; Mansfield, James R.; Dolenko, Brion; Somorjai, R. L.; Orr, F. W.; Watson, Peter H.; Mantsch, Henry H.

doi:10.1117/12.306098

Cited by 30 publications

(15 citation statements)

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“…Various bimolecular components give a characteristic IR spectrum (Siebert 1995;Jackson et al 1998;Diem et al 1999). This is akin to the 'biochemical fingerprint' of the tissue, allowing measurements of complex molecular vibrational modes that contain valuable information of changes occurring due to diseases such as cancer.…”

Section: Introductionmentioning

confidence: 99%

Fourier transform infrared microspectroscopy as a diagnostic tool for distinguishing between normal and malignant human gastric tissue

2011

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Fourier transform infrared (FTIR) microspectroscopy can be considered to be a fast and non-invasive tool for distinguishing between normal and cancerous cells and tissues without the need for laborious and invasive sampling procedures. Gastric samples from four patients (age, 65±2 years) were analysed. Samples were obtained from the organs removed during gastrectomy and then classified as normal or cancerous. Classification was based on histopathological examinations at our institution. Formalin-fixed sections of gastric tissue were analysed by FTIR-microspectroscopy. To characterize differences between sections of normal and cancerous tissue, specific regions of the spectra were analysed to study variations in the levels of metabolites. To distinguish between two conditions (normal and cancerous), changes in the relative intensity of bands in the range 600-4000 cm⁻¹ were analysed. A FTIR spectral map of the bands in the region 2800-3100 cm⁻¹ and 900-1800 cm⁻¹ were created to analyse pathological changes in tissues. The limited data available showed that normal gastric tissue had stronger absorption than cancerous tissue over a wide region in the four patients. There was a significant decrease in total biomolecular components for cancerous tissue compared with normal tissue.

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Section: Introductionmentioning

confidence: 99%

Fourier transform infrared microspectroscopy as a diagnostic tool for distinguishing between normal and malignant human gastric tissue

2011

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“…The spectral region of 1,740-900 cm −1 , a region in which many differences between cancer and normal tissues have been demonstrated in previous studies [17,20,21,26,27] was selected for the analysis. Discriminant analysis involves deriving a variant, the linear combination of the two (or more) independent variables that will discriminate best between a priori defined groups.…”

Section: Statistical Analysis Of Ftir Spectramentioning

confidence: 99%

“…The spectra allow measuring complex molecular vibrational modes. Various biomolecular components of the cell give a characteristic IR spectrum, which is rich in structural and functional aspects [16,17]. One of the most promising applications of the IR-based techniques, which have become possible now, is in biomedicine.…”

Section: Introductionmentioning

confidence: 99%

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Application of Linear Discriminant Analysis and Attenuated Total Reflectance Fourier Transform Infrared Microspectroscopy for Diagnosis of Colon Cancer

Khanmohammadi

Garmarudi

Samani

et al. 2010

Pathol. Oncol. Res.

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Attenuated Total Reflectance Fourier Transform Infrared (ATR-FTIR) microspectroscopy was applied for detection of colon cancer according to the spectral features of colon tissues. Supervised classification models can be trained to identify the tissue type based on the spectroscopic fingerprint. A total of 78 colon tissues were used in spectroscopy studies. Major spectral differences were observed in 1,740-900 cm(-1) spectral region. Several chemometric methods such as analysis of variance (ANOVA), cluster analysis (CA) and linear discriminate analysis (LDA) were applied for classification of IR spectra. Utilizing the chemometric techniques, clear and reproducible differences were observed between the spectra of normal and cancer cases, suggesting that infrared microspectroscopy in conjunction with spectral data processing would be useful for diagnostic classification. Using LDA technique, the spectra were classified into cancer and normal tissue classes with an accuracy of 95.8%. The sensitivity and specificity was 100 and 93.1%, respectively.

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“…29 Recent research has also proven that 10-50,000 cells/mL were required in order to produce high quality spectra. 30 Instead of using 50,000 cells/mL in this research, 130,000 cells/mL was used for each trial to make an appropriate amount to cover the ATR crystal entirely and to cut down on spectral contamination from air. Gold nanoparticles (17 nM) with increasing volumes (0-100 L) were introduced via endocytosis into 130,000 cancerous cells (MCF-7) and 130,000 noncancerous cells (MCF-12F) separately in order to obtain spectra and cell viabilities for each cell line.…”

Section: Introductionmentioning

confidence: 99%

Attenuated Total Reflectance Fourier Transform Infrared Spectroscopy Method to Differentiate Between Normal and Cancerous Breast Cells

Lane

See²

2012

j nanosci nanotechnol

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Attenuated total reflectance Fourier transform infrared spectroscopy (ATR-FTIR) is used to find the structural differences between cancerous breast cells (MCF-7 line) and normal breast cells (MCF-12F line). Gold nanoparticles were prepared and the hydrodynamic diameter of the gold nanoparticles found to be 38.45 nm. The Gold nanoparticles were exposed to both MCF-7 and MCF-12F cells from lower to higher concentrations. Spectroscopic studies founds nanoparticles were within the cells, and increasing the nanoparticles concentration inside the cells also resulted in sharper IR peaks as a result of localized surface Plasmon resonance. Asymmetric and symmetric stretching and bending vibrations between phosphate, COO-, CH2 groups were found to give negative shifts in wavenumbers and a decrease in peak intensities when going from noncancerous to cancerous cells. Cellular proteins produced peak assignments at the 1542 and 1644 cm(-1) wavenumbers which were attributed to the amide I and amide II bands of the polypeptide bond of proteins. Significant changes were found in the peak intensities between the cell lines in the spectrum range from 2854-2956 cm(-1). Results show that the concentration range of gold nanoparticles used in this research showed no significant changes in cell viability in either cell line. Therefore, we believe ATR-FTIR and gold nanotechnology can be at the forefront of cancer diagnosis for some time to come.

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<title>Cancer diagnosis by infrared spectroscopy: methodological aspects</title>

Cited by 30 publications

References 0 publications

Fourier transform infrared microspectroscopy as a diagnostic tool for distinguishing between normal and malignant human gastric tissue

Fourier transform infrared microspectroscopy as a diagnostic tool for distinguishing between normal and malignant human gastric tissue

Application of Linear Discriminant Analysis and Attenuated Total Reflectance Fourier Transform Infrared Microspectroscopy for Diagnosis of Colon Cancer

Attenuated Total Reflectance Fourier Transform Infrared Spectroscopy Method to Differentiate Between Normal and Cancerous Breast Cells

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