Rapid diagnosis of malignant pleural mesothelioma and its discrimination from lung cancer and benign exudative effusions using blood serum

Yonar D., Severcan M., Gurbanov R., Sandal A., Yilmaz U., Emri S., ...Daha Fazla

Biochimica et Biophysica Acta - Molecular Basis of Disease, cilt.1868, sa.10, 2022 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 1868 Sayı: 10
  • Basım Tarihi: 2022
  • Doi Numarası: 10.1016/j.bbadis.2022.166473
  • Dergi Adı: Biochimica et Biophysica Acta - Molecular Basis of Disease
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, BIOSIS, Chemical Abstracts Core, EMBASE, Food Science & Technology Abstracts, MEDLINE
  • Anahtar Kelimeler: Mesothelioma, Lung cancer, Blood serum, Spectral biomarkers, ATR-FTIR spectroscopy, Multivariate analysis, TRANSFORM-INFRARED-SPECTROSCOPY, ATR-FTIR SPECTROSCOPY, BLADDER-CANCER, MICROSPECTROSCOPY, BIOMARKER, TISSUES, SAMPLES, DISEASE, METABOLISM, MICROSCOPY
  • Orta Doğu Teknik Üniversitesi Adresli: Evet

Özet

© 2022Malignant pleural mesothelioma (MPM), an aggressive cancer associated with exposure to fibrous minerals, can only be diagnosed in the advanced stage because its early symptoms are also connected with other respiratory diseases. Hence, understanding the molecular mechanism and the discrimination of MPM from other lung diseases at an early stage is important to apply effective treatment strategies and for the increase in survival rate. This study aims to develop a new approach for characterization and diagnosis of MPM among lung diseases from serum by Fourier transform infrared spectroscopy (FTIR) coupled with multivariate analysis. The detailed spectral characterization studies indicated the changes in lipid biosynthesis and nucleic acids levels in the malignant serum samples. Furthermore, the results showed that healthy, benign exudative effusion, lung cancer, and MPM groups were successfully separated from each other by applying principal component analysis (PCA), support vector machine (SVM), and especially linear discriminant analysis (LDA) to infrared spectra.