FTIR spectroscopic comparison of serum from lung cancer patients and healthy persons

Wang, Xin; Shen, Xiang; Sheng, Daping; Chen, Xianliang; Liu, Xingcun

doi:10.1016/j.saa.2013.11.049

Cited by 79 publications

(61 citation statements)

References 20 publications

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“…To decrease morbidity and improve survival of MPM, new diagnostic approaches which are accurate, minimally invasive, rapid, low-cost, operator-independent, and capable of generating reliable information, are urgently needed. Recent studies indicated that Fourier transform-infrared (FTIR) spectroscopy coupled with chemometric approach has the ability to diagnose different cancer types such as lung, prostate, bladder, and ovarian cancer, [9][10][11][12][13][14][15] since this technique enables to elucidate diseaseinduced alterations in molecules by performing qualitative and quantitative analysis on spectral bands. A recent study has indicated the efficiency of FTIR imaging in the resolving of tumor subtypes in diffuse malignant mesothelioma.…”

Section: Diagnosis Of Malignant Pleural Mesothelioma From Pleural Flumentioning

confidence: 99%

Diagnosis of malignant pleural mesothelioma from pleural fluid by Fourier transform-infrared spectroscopy coupled with chemometrics

et al. 2018

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of malignant pleural mesothelioma from pleural fluid by Fourier transform-infrared spectroscopy coupled with chemometrics," J.Abstract. This study was conducted to differentiate malignant pleural mesothelioma (MPM) from lung cancer (LC) and benign pleural effusion (BPE) from pleural fluids using the diagnostic power of Fourier transform-infrared spectroscopy with attenuated total reflectance mode coupled with chemometrics. Infrared spectra of MPM (n ¼ 24), LC (n ¼ 20), and BPE (n ¼ 25) were collected, and hierarchical cluster analysis (HCA) and principal component analysis (PCA) were applied to their spectra. HCA results indicated that MPM was differentiated from LC with 100% sensitivity and 100% specificity and from BPE, with 100% sensitivity and 88% specificity, which were also confirmed by PCA score plots. PCA loading plots indicated that these separations originated mainly from lipids, proteins, and nucleic acids-related spectral bands. There was significantly higher lipid, protein, nucleic acid, and glucose contents in the MPM and LC. However, the significant changes in triglyceride and cholesterol ester content, protein and nucleic acid structure, a lower membrane fluidity, and higher membrane order were only observed in the MPM. To check the classification success of some test samples/each group, soft independent modeling of class analogies was performed and 96.2% overall classification success was obtained. This approach can provide a rapid and inexpensive methodology for the efficient differentiation of MPM from other pleural effusions.

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Section: Diagnosis Of Malignant Pleural Mesothelioma From Pleural Flumentioning

confidence: 99%

Diagnosis of malignant pleural mesothelioma from pleural fluid by Fourier transform-infrared spectroscopy coupled with chemometrics

et al. 2018

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“…The peak positions and their assignments were listed in Table 1 [27][28][29][30][31][32][33][34]. Since the spectral resolution was 4cm -1 , the peak shifts below 4cm -1 could not be distinguished.…”

Section: Analysis Of Ir Spectramentioning

confidence: 99%

A study of structural differences between liver cancer cells and normal liver cells using FTIR spectroscopy

Sheng

et al. 2015

Journal of Molecular Structure

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“…Wang et al documented spectral differences of cells extracted from pleural fluid of lung cancer, control and tuberculosis patients [27], again without quantification. One study on blood serum of 24 lung cancer patients and 22 healthy controls reports a sensitivity of 83% and a specificity of 100% deduced from a test of 5 vs. 5 subjects [28].…”

Section: Introductionmentioning

confidence: 99%

An infrared spectroscopic blood test for non-small cell lung carcinoma and subtyping into pulmonary squamous cell carcinoma or adenocarcinoma

Ollesch

Theegarten

Altmayer

et al. 2016

BSI

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Abstract. BACKGROUND:Lung cancer is the leading cause of death for male and female cancer patients alike. Early diagnosis improves prognosis. A blood test would be a valuable support. OBJECTIVE: Infrared spectroscopy provides a label-free biochemical fingerprint of a sample. A study was conducted on 161 patients with initial cancer suspicion to identify and verify spectral biomarker candidate patterns to detect non-small cell lung carcinoma (NSCLC). METHODS: Blood serum and plasma samples were analysed with an automated FTIR spectroscopic system. Two pattern recognition algorithms and two classifiers were applied. Monte Carlo cross validation was performed with linear discriminant analysis and random forest classification. RESULTS: Marker patterns for the discrimination of cancer from clinically relevant disease control patients were identified in FTIR spectra of blood samples. An accuracy of up to 79% was achieved. Squamous cell and adenocarcinoma patients were separable with an accuracy of 80%. CONCLUSIONS: The study demonstrates the applicability of FTIR spectroscopic blood testing for lung cancer detection. Evidence for cancer subtype discrimination is given. With an improved performance, the method could be developed as a routine diagnostic tool for blood testing detecting NSCLC.

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FTIR spectroscopic comparison of serum from lung cancer patients and healthy persons

Cited by 79 publications

References 20 publications

Diagnosis of malignant pleural mesothelioma from pleural fluid by Fourier transform-infrared spectroscopy coupled with chemometrics

Diagnosis of malignant pleural mesothelioma from pleural fluid by Fourier transform-infrared spectroscopy coupled with chemometrics

A study of structural differences between liver cancer cells and normal liver cells using FTIR spectroscopy

An infrared spectroscopic blood test for non-small cell lung carcinoma and subtyping into pulmonary squamous cell carcinoma or adenocarcinoma

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