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S.A. Emri
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MINI 24 - Epidemiology, Early Detection, Biology (ID 140)
- Event: WCLC 2015
- Type: Mini Oral
- Track: Thymoma, Mesothelioma and Other Thoracic Malignancies
- Presentations: 1
- Moderators:J. Creaney, M. Carbone
- Coordinates: 9/08/2015, 16:45 - 18:15, 102+104+106
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MINI24.07 - Infrared Spectroscopy as a Novel Approach in Differential Diagnosis of Malignant Pleural Mesothelioma from Lung Cancer Using Pleural Fluid (ID 2601)
17:20 - 17:25 | Author(s): S.A. Emri
- Abstract
Background:
Malignant pleural mesothelioma (MPM) is an aggressive and rare form of cancer which arises from mesothelial cells lining pleural cavity. Since it is difficult to differentiate the benign pleural thickenings from carcinomas, MPM can only be diagnosed in the advanced stage. To decrease the mortality rate of this disease highly sensitive and specific diagnostic methods are required. In the current study we propose Attenuated Total Reflectance Fourier Transform Infrared (ATR-FTIR) spectroscopy coupled with chemometrics as a novel approach in diagnosis of MPM from pleural fluids with better sensitivity and specificity values than the other biomarker analysis methods that are currently used.
Methods:
The pleural fluid samples from MPM (n=24), lung cancer (LC, n=20) and benign transudate (BT, n=20) patients were collected to perform FTIR spectroscopic experiments. Recording and analysis of the spectral data were performed by using Spectrum One software. Unsupervised chemometric analysis methods including hierarchical cluster (HCA) and principal component analysis (PCA) were applied to discriminate MPM from BT and LC groups. To develop a diagnostic method, SIMCA, a supervised chemometric method was also performed.
Results:
Quantitative spectral analysis indicated that lipid, triglyceride, cholesterol ester, protein and nucleic acid contents of MPM group differ from BT and LC groups. The score plots obtained from PCA analysis of pleural fluid at whole (4000-650 cm[-1]), lipid (3000-2800 cm[-1]) and fingerprint (1800-650 cm[-1]) spectral regions showed that BT, LC and MPM groups are successfully discriminated from each other (fig 1.).Figure 1 Figure 1. PCA scatter plots for all BT, LC and MPM pleural fluid samples in the 4000–650 cm-1 spectral region. Moreover, the loading plots obtained from these spectral regions supported the differences in molecular content of all three groups. SIMCA results performed at whole and fingerprint regions also revealed high accuracy values for the diagnosis of MPM and LC.
Conclusion:
The results demonstrated that ATR-FTIR spectroscopy together with chemometric tools can be used for successful and rapid differential diagnosis of MPM from LC and BT groups . *This work was supported by the Scientific and Technical Research Council of Turkey (TUBITAK), SBAG-113S294 Research Fund.
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P2.08 - Poster Session/ Thymoma, Mesothelioma and Other Thoracic Malignancies (ID 225)
- Event: WCLC 2015
- Type: Poster
- Track: Thymoma, Mesothelioma and Other Thoracic Malignancies
- Presentations: 1
- Moderators:
- Coordinates: 9/08/2015, 09:30 - 17:00, Exhibit Hall (Hall B+C)
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P2.08-012 - Differentiation of Mesothelioma from Lung Cancer and Healthy Individuals Using Human Serum by ATR-FTIR Spectroscopy Coupled with Chemometrics (ID 2553)
09:30 - 09:30 | Author(s): S.A. Emri
- Abstract
Background:
Malignant pleural mesothelioma (MPM) is a rare, aggressive cancer that progresses in the thin layer of pleura. The inhalation of microscopic asbestos fibers primarily the main reason of the disease. Early symptoms of pleural mesothelioma often are confused with other respiratory ailments. Therefore, MPM can only be diagnosed in the advanced stage. Consequently, it is important to develop a new approach with high specificity and sensitivity for the differential diagnosis of MPM. Fourier Transform Infrared (FTIR) spectroscopy is a novel and non-invasive method that has potential to diagnose cancer with high specificity and sensitivity. Hence, we used ATR-FTIR spectroscopy coupled with chemometric methods to differentiate MPM from healthy individuals and lung cancer patients.
Methods:
FTIR spectra of the samples collected from patients diagnosed with malignant pleural mesothelioma (MPM), lung cancer (LC), and healthy control (C) were recorded in the 4000-650 cm[-1]spectral region. Recording the spectra and analysis of the spectral data were obtained with Perkin Elmer Spectrum One Program. Both unsupervised Principal Component Analysis (PCA) (The Unscrambler X 10.3, CAMO Software) and Hierarchical Cluster Analysis (HCA) (OPUS 5.5, BRUKER) were applied for differentiation MPM from other groups.
Results:
Cluster analysis of the samples demonstrated that MPM and lung cancer successfully differentiated from healthy controls at whole spectral region (4000-650 cm[-1]). Moreover, successful clusters of these three groups were obtained in the fingerprint (1800-650 cm[-1]) and 1500-800 cm[-1 ]regions. In addition, some special bands such as DNA band at 832 cm[-1 ]gave very successful differentiation by PCA from serum samples.
Conclusion:
These findings indicate that FTIR spectroscopic analysis of serum coupled with chemometric analyses enabled differential diagnosis of mesothelioma from lung cancer patients and healthy individuals. *This work was supported by the Scientific and Technical Research Council of Turkey (TUBITAK), SBAG-113S294 Research Fund.
