Abstract
BackgroundOvarian cancer is the most lethal of gynecological malignancies. Fourier Transform Infrared (FTIR) spectroscopy has gradually developed as a convenient, inexpensive and non-destructive technique for the study of many diseases. In this study, FTIR spectra of normal and several heterogeneous ovarian cancer cell lines as well as ovarian cancer tissue samples were compared in the spectral region of 4000 cm− 1 - 600 cm− 1.MethodsCell samples were collected from human ovarian surface epithelial cell line (HOSEpiC) and five ovarian cancer cell lines (ES2, A2780, OVCAR3, SKOV3 and IGROV1). Validation spectra were performed on normal and cancerous tissue samples from 12 ovarian cancer patients. FTIR spectra were collected from a NICOLET iN10 MX spectrometer and the spectral data were analyzed by OMNIC 8.0 software.ResultsSpectral features discriminating malignant tissues from normal tissues were integrated by cell line data and tissue data. In particular changes in cancerous tissues, the decrease in the amount of lipids and nucleic acids were observed. Protein conformation and composition were also altered in some cancer cells. The band intensity ratio of 1454/1400 was higher in normal cells/tissues and lower in cancer cells/tissues.ConclusionThe spectral features revealed the important molecular characteristics about ovarian cancer cells/tissues. These findings demonstrate the possible diagnostic use of FTIR spectroscopy, providing the research model and evidences, and supporting the future study on more tissue samples to establish a data bank of spectra features for the possible discrimination of ovarian cancers.
Highlights
Ovarian cancer is the most lethal of gynecological malignancies
We fundamentally focused on epithelial ovarian cancers (EOC) with respect to its normal and several heterogeneous cancer cell line models using Fourier Transform Infrared (FTIR) technique and confirmed the results by several tissue samples, providing proof of principal that there were differences between EOC and healthy donor epithelium and supporting the future study to move to more clinical tissue samples to establish a data bank of spectra features
ES2, A2780 and SKOV3 were purchased from the Cell Support Center, Institute of Basic Medical Science, Chinese Academy of Medical Sciences; OVCAR3 and IGROV1 were purchased from the NIH cell bank
Summary
Ovarian cancer is the most lethal of gynecological malignancies. Ovarian cancer is associated with the worst prognosis among gynecological malignancies, accounting for more than 150,000 deaths annually worldwide [1]. Most patients with advanced stages of ovarian cancer result in five-year survival rates less than 30% [2]. There are two approaches available for diagnosing ovarian cancer patients. Li et al Journal of Ovarian Research (2018) 11:64 biomarker is serum Cancer Antigen 125 (CA-125) [6]. Limited specificity exists in this method as CA-125 level rises in some other types of cancers and fluctuates in premenopausal women during menstrual cycle [7]. New insights are needed to identify novel methods for detecting and categorizing ovarian cancer patients
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