Title Characterization of ovarian cancer cells an tissues by Fourier transform infrared spectroscopy
Authors Li, Lei
Bi, Xiaoning
Sun, Hengzi
Liu, Simiao
Yu, Mei
Zhang, Ying
Weng, Shifu
Yang, Limin
Bao, Yanan
Wu, Jinguang
Xu, Yizhuang
Shen, Keng
Affiliation Chinese Acad Med Sci, Peking Union Med Coll Hosp, Dept Obstet & Gynecol, 1 Shuai Fu Yuan, Beijing 100730, Peoples R China.
Peking Union Med Coll, 1 Shuai Fu Yuan, Beijing 100730, Peoples R China.
Peking Univ, Coll Chem & Mol Engn, Beijing Natl Lab Mol Sci, State Key Lab Rare Earth Mat Chem & Applicat, 202 Chengfu Rd, Beijing 100871, Peoples R China.
Peking Univ, Sch Phys, Inst Heavy Ion Phys, State Key Lab Nucl Phys & Technol, 202 Chengfu Rd, Beijing 100871, Peoples R China.
Chinese Acad Med Sci, Peking Union Med Coll Hosp, Dept Obstet & Gynecol, 1 Shuai Fu Yuan, Beijing 100730, Peoples R China.
Shen, K (reprint author), Peking Union Med Coll, 1 Shuai Fu Yuan, Beijing 100730, Peoples R China.
Xu, YZ (reprint author), Peking Univ, Coll Chem & Mol Engn, Beijing Natl Lab Mol Sci, State Key Lab Rare Earth Mat Chem & Applicat, 202 Chengfu Rd, Beijing 100871, Peoples R China.
Keywords Ovarian cancer
Fourier transform infrared (FTIR) spectroscopy
Tumor heterogeneity
Clinical diagnosis
ATR-FTIR SPECTROSCOPY
MULTIVARIATE-ANALYSIS
DIAGNOSTIC-APPROACH
SEROUS CARCINOMA
IR SPECTROSCOPY
BLOOD-PLASMA
SEGREGATION
TOOL
SERUM
LINE
Issue Date 2018
Publisher JOURNAL OF OVARIAN RESEARCH
Citation JOURNAL OF OVARIAN RESEARCH. 2018, 11.
Abstract Background: Ovarian 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). Methods: Cell 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. Results: Spectral 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. Conclusion: The spectral features revealed the important molecular characteristics about ovarian cancer cells/tissues. These findings demonstrate the possible diagnostic use of FIR 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.
URI http://hdl.handle.net/20.500.11897/517956
ISSN 1757-2215
DOI 10.1186/s13048-018-0434-8
Indexed SCI(E)
PubMed
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稀土材料化学与应用国家重点实验室
物理学院
核物理与核技术国家重点实验室

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