Application of Fourier Transform Infrared Spectroscopy for Tumor Diagnosis

Simonova, Desislava; Karamancheva, Ilyana

doi:10.5504/bbeq.2013.0106

Cited by 68 publications

(40 citation statements)

References 51 publications

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“…e attenuated total reflection-Fourier transform infrared (ATR-FTIR) spectroscopy is a fast, nondestructive, noninvasive, label-and reagent-free, inexpensive, sensitive, and highly reproducible physicochemical tool for characterization of biological molecules in fluids. FTIR requires only a small amount of sample for analysis with easy and quick preparation if necessary, and it allows automated and repetitive analyses, leading to nonsubjective evaluation of the sample [4,6,7]. Furthermore, ATR, the experimental configuration for FTIR spectra acquisition utilized in this study, presents high signal-to-noise ratio (SNR), does not present unwanted spectral contributions, and enables a sample to be analyzed without further preparation simply by placing it in direct contact with a crystal with a refractive index higher than the sample [8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Attenuated Total Reflection-Fourier Transform Infrared (ATR-FTIR) Spectroscopy Analysis of Saliva for Breast Cancer Diagnosis

Ferreira

Aguiar

Silva

et al. 2020

Journal of Oncology

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Saliva biomarkers using reagent-free biophotonic technology have not been investigated as a strategy for early detection of breast cancer (BC). The attenuated total reflection-Fourier transform infrared (ATR-FTIR) spectroscopy has been proposed as a promising tool for disease diagnosis. However, its utilization in cancer is still incipient, and currently saliva has not been used for BC screening. We have applied ATR-FTIR onto saliva from patients with breast cancer, benign breast disease, and healthy matched controls to investigate its potential use in BC diagnosis. Several salivary vibrational modes have been identified in original and second-derivative spectra. The absorbance levels at wavenumber 1041 cm−1 were significantly higher (p<0.05) in saliva of breast cancer patients compared with those of benign patients, and the ROC curve analysis of this peak showed a reasonable accuracy to discriminate breast cancer from benign and control patients. The 1433–1302.9 cm−1 band area was significantly higher (p<0.05) in saliva of breast cancer patients than in control and benign patients. This salivary ATR-FTIR spectral area was prevalidated as a potential diagnostic biomarker of BC. This spectral biomarker was able to discriminate human BC from controls with sensitivity and specificity of 90% and 80%, respectively. Besides, it was able to differentiate BC from benign disease with sensitivity and specificity of 90% and 70%, respectively. Briefly, for the first time, saliva analysis by ATR-FTIR spectroscopy has demonstrated the potential use of salivary spectral biomarkers (1041 cm−1 and 1433–1302.9 cm−1) as a novel alternative for noninvasive BC diagnosis, which could be used for screening purposes.

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Section: Introductionmentioning

confidence: 99%

Attenuated Total Reflection-Fourier Transform Infrared (ATR-FTIR) Spectroscopy Analysis of Saliva for Breast Cancer Diagnosis

Ferreira

Aguiar

Silva

et al. 2020

Journal of Oncology

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“…Conversely, the two malignant tumor lesions PNET and PDAC resulted clearly distinguishable with respect to both CTRL and between each other, since they do not always share a similar trend. With respect to CTRL, they both presented a relevant increase of the 1170/1240 ratio, associated with the onset of tumoral lesions ; moreover, they shared the same lipid composition, with a higher amount of phospholipids and triglycerides (1746/1657 ratio), shorter and more branched alkyl chains (2925/2960 ratio) with a lower degree of unsaturation (3008/2960 band area ratio) with respect to CTRL. These findings agree with the known impairment of lipid metabolism associated with the onset of a pathological condition, including the modulation of lipogenesis characterizing tumor development .…”

Section: Resultsmentioning

confidence: 78%

Investigation of human pancreatic cancer tissues by Fourier Transform Infrared Hyperspectral Imaging

Notarstefano

Conti

Pisani

et al. 2019

Journal of Biophotonics

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Fourier-transform infrared hyperspectral imaging (FTIR-HSI) provides hyperspectral images containing both morphological and chemical information. It is widely applied in the biomedical field to detect tumor lesions, even at the early stage, by identifying specific spectral biomarkers. Pancreatic neoplasms present different prognoses and are not always easily classified by conventional analyses. In this study, tissue samples with diagnosis of pancreatic ductal adenocarcinoma and pancreatic neuroendocrine tumor were analyzed by FTIR-HSI and the spectral data compared with those from healthy and dysplastic samples. Multivariate/univariate approaches were complemented to hyperspectral images, and definite spectral markers of the different lesions identified. The malignant lesions were recognizable both from healthy/dysplastic pancreatic tissues (high values of phospholipids and triglycerides with shorter, more branched and less unsaturated alkyl chains) and between each other (different amounts of total lipids, phosphates and carbohydrates). These findings highlight different metabolic pathways characterizing the different samples, well detectable by FTIR-HSI. K E Y W O R D SFourier transform infrared hyperspectral imaging, multivariate analysis, pancreatic ductal adenocarcinoma, pancreatic neuroendocrine tumors, spectral biomarkers

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“…According to the PC1 loadings plot (Figure 3) the main vibrational regions that contribute toward the separation of the samples included: 1655 cm −1 (amide I, C = O of proteins and peptides) (Maquelin et al, 2002); 1545 cm −1 (amide II, combination of in-plane N-H bending (60%) and C-N stretching (40%) of proteins, secondary structure of protein) (Lu et al, 2011); 1153 cm −1 (stretching vibrations of hydrogen bonded C-O groups; carbohydrates) (Pop et al, 2013;Simonova and Karamancheva, 2013); 1080 cm −1 (carbonyl groups in cell wall, (Filip et al, 2008); 1024 cm −1 (C-O bending and stretching typical of glycogen) (Lewis et al, 2010). The FT-IR spectra confirmed the PCA findings, with clear variance in the baseline corrected spectra apparent, which became more pronounced in the irradiated samples taken at the later time points (Supplementary Figure 4).…”

Section: Resultsmentioning

confidence: 99%

Radiation Tolerance of Pseudanabaena catenata, a Cyanobacterium Relevant to the First Generation Magnox Storage Pond

et al. 2020

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Recently a species of Pseudanabaena was identified as the dominant photosynthetic organism during a bloom event in a high pH (pH ∼11.4), radioactive spent nuclear fuel pond (SNFP) at the Sellafield Ltd., United Kingdom facility. The metabolic response of a laboratory culture containing the cyanobacterium Pseudanabaena catenata, a relative of the major photosynthetic microorganism found in the SNFP, to X-ray irradiation was studied to identify potential survival strategies used to support colonization of radioactive environments. Growth was monitored and the metabolic fingerprints of the cultures, during irradiation and throughout the post-irradiation recovery period, were determined using Fourier transform infrared (FT-IR) spectroscopy. A dose of 95 Gy delivered over 5 days did not significantly affect growth of P. catenata, as determined by turbidity measurements and cell counts. Multivariate statistical analysis of the FT-IR spectral data revealed metabolic variation during the post-irradiation recovery period, with increased polysaccharide and decreased amide spectral intensities. Increases in polysaccharides were confirmed by complementary analytical methods including total carbohydrate assays and calcofluor white staining. This observed increased production of polysaccharides is of significance, since this could have an impact on the fate of the radionuclide inventory in the pond via biosorption of cationic radionuclides, and may also impact on downstream processes through biofilm formation and biofouling.

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Application of Fourier Transform Infrared Spectroscopy for Tumor Diagnosis

Cited by 68 publications

References 51 publications

Attenuated Total Reflection-Fourier Transform Infrared (ATR-FTIR) Spectroscopy Analysis of Saliva for Breast Cancer Diagnosis

Attenuated Total Reflection-Fourier Transform Infrared (ATR-FTIR) Spectroscopy Analysis of Saliva for Breast Cancer Diagnosis

Investigation of human pancreatic cancer tissues by Fourier Transform Infrared Hyperspectral Imaging

Radiation Tolerance of Pseudanabaena catenata, a Cyanobacterium Relevant to the First Generation Magnox Storage Pond

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