Skip to main content
Key Specialties
Cardiology Diabetology Endocrinology Gastroenterology Geriatrics and Gerontology Gynecology and Obstetrics Hematology Infectious Disease Internal Medicine Nephrology Neurology Oncology Pediatrics Respiratory Medicine Rheumatology Surgery
Congress Coverage
2024 ACC Congress 2023 ESMO Congress 2023 EASD Congress 2023 ERS Congress 2023 ESC Congress
Clinical Collections
Advances in Alzheimer’s

At a glance: The STEP trials

A round-up of the STEP phase 3 clinical trials evaluating semaglutide for weight loss in people with overweight or obesity.
ADVANCED SEARCH
Log in
Top
Journal of Ovarian Research
Published in: Journal of Ovarian Research 1/2018

Open Access 01-12-2018 | Research

Characterization of ovarian cancer cells and tissues by Fourier transform infrared spectroscopy

Authors: Lei Li, Xiaoning Bi, Hengzi Sun, Simiao Liu, Mei Yu, Ying Zhang, Shifu Weng, Limin Yang, Yanan Bao, Jinguang Wu, Yizhuang Xu, Keng Shen

Published in: Journal of Ovarian Research | Issue 1/2018

Login to get access

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 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.
Literature
1.
Ferlay J, Soerjomataram I, Dikshit R, Eser S, Mathers C, Rebelo M, Parkin DM, Forman D, Bray F. Cancer incidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN 2012. Int J Cancer. 2015;136(5):E359–86.CrossRefPubMed
2.
Pierredon S, Ribaux P, Tille JC, Petignat P, Cohen M. Comparative secretome of ovarian serous carcinoma: gelsolin in the spotlight. Oncol Lett. 2017;13(6):4965–73.CrossRefPubMedPubMedCentral
3.
Chuaqui RF, Cole KA, Emmert-Buck MR, Merino MJ. Histopathology and molecular biology of ovarian epithelial tumors. Ann Diagn Pathol. 1998;2(3):195–207.CrossRefPubMed
4.
Seidman JD, Horkayne-Szakaly I, Haiba M, Boice CR, Kurman RJ, Ronnett BM. The histologic type and stage distribution of ovarian carcinomas of surface epithelial origin. Int J Gynecol Pathol. 2004;23(1):41–4.CrossRefPubMed
5.
Gershenson DM, Sun CC, Lu KH, Coleman RL, Sood AK, Malpica A, Deavers MT, Silva EG, Bodurka DC. Clinical behavior of stage II-IV low-grade serous carcinoma of the ovary. Obstet Gynecol. 2006;108(2):361–8.CrossRefPubMed
6.
Fritsche HA, Bast RC. CA 125 in ovarian cancer: advances and controversy. Clin Chem. 1998;44(7):1379–80.PubMed
7.
Togashi K. Ovarian cancer: the clinical role of US, CT, and MRI. Eur Radiol. 2003;13(Suppl 4):L87–104.CrossRefPubMed
8.
O'Rourke J, Mahon SM. A comprehensive look at the early detection of ovarian cancer. Clin J Oncol Nurs. 2003;7(1):41–7.CrossRefPubMed
9.
10.
Baker MJ, Trevisan J, Bassan P, Bhargava R, Butler HJ, Dorling KM, Fielden PR, Fogarty SW, Fullwood NJ, Heys KA, Hughes C, Lasch P, Martin-Hirsch PL, Obinaju B, Sockalingum GD, Sule-Suso J, et al. Using Fourier transform IR spectroscopy to analyze biological materials. Nat Protoc. 2014;9(8):1771–91.CrossRefPubMedPubMedCentral
11.
Jackson M, Sowa MG, Mantsch HH. Infrared spectroscopy: a new frontier in medicine. Biophys Chem. 1997;68(1–3):109–25.CrossRefPubMed
12.
13.
Andrus PG, Strickland RD. Cancer grading by Fourier transform infrared spectroscopy. Biospectroscopy. 1998;4(1):37–46.CrossRefPubMed
14.
Wood BR, Quinn MA, Tait B, Ashdown M, Hislop T, Romeo M, McNaughton D. FTIR microspectroscopic study of cell types and potential confounding variables in screening for cervical malignancies. Biospectroscopy. 1998;4(2):75–91.CrossRefPubMed
15.
Taylor SE, Cheung KT, Patel II, Trevisan J, Stringfellow HF, Ashton KM, Wood NJ, Keating PJ, Martin-Hirsch PL, Martin FL. Infrared spectroscopy with multivariate analysis to interrogate endometrial tissue: a novel and objective diagnostic approach. Br J Cancer. 2011;104(5):790–7.CrossRefPubMedPubMedCentral
16.
Sindhuphak R, Issaravanich S, Udomprasertgul V, Srisookho P, Warakamin S, Sindhuphak S, Boonbundarlchai R, Dusitsin N. A new approach for the detection of cervical cancer in Thai women. Gynecol Oncol. 2003;90(1):10–4.CrossRefPubMed
17.
Kelly JG, Ahmadzai AA, Hermansen P, Pitt MA, Saidan Z, Martin-Hirsch PL, Martin FL. A biospectroscopic interrogation of fine needle aspirates points towards segregation between graded categories: an initial study towards diagnostic screening. Anal Bioanal Chem. 2011;401(3):957–67.CrossRefPubMed
18.
Das RM, Ahmed MK, Mantsch HH, Scott JE. FT-IR spectroscopy of methylmercury-exposed mouse lung. Mol Cell Biochem. 1995;145(1):75–9.CrossRefPubMed
19.
Gajjar K, Heppenstall LD, Pang W, Ashton KM, Trevisan J, Patel II, Llabjani V, Stringfellow HF, Martin-Hirsch PL, Dawson T, Martin FL. Diagnostic segregation of human brain tumours using Fourier-transform infrared and/or Raman spectroscopy coupled with discriminant analysis. Anal Methods. 2012;5:89–102.CrossRefPubMedPubMedCentral
20.
Gajjar K, Trevisan J, Owens G, Keating PJ, Wood NJ, Stringfellow HF, Martin-Hirsch PL, Martin FL. Fourier-transform infrared spectroscopy coupled with a classification machine for the analysis of blood plasma or serum: a novel diagnostic approach for ovarian cancer. Analyst. 2013;138(14):3917–26.CrossRefPubMed
21.
Owens GL, Gajjar K, Trevisan J, Fogarty SW, Taylor SE, Da Gama-Rose B, Martin-Hirsch PL, Martin FL. Vibrational biospectroscopy coupled with multivariate analysis extracts potentially diagnostic features in blood plasma/serum of ovarian cancer patients. J Biophotonics. 2014;7(3–4):200–9.CrossRefPubMed
22.
Lima KM, Gajjar KB, Martin-Hirsch PL, Martin FL. Segregation of ovarian cancer stage exploiting spectral biomarkers derived from blood plasma or serum analysis: ATR-FTIR spectroscopy coupled with variable selection methods. Biotechnol Prog. 2015;31(3):832–9.CrossRefPubMed
23.
Mehrotra R, Tyagi G, Jangir DK, Dawar R, Gupta N. Analysis of ovarian tumor pathology by Fourier transform infrared spectroscopy. J Ovarian Res. 2010;3:27.CrossRefPubMedPubMedCentral
24.
Theophilou G, Lima KM, Martin-Hirsch PL, Stringfellow HF, Martin FL. ATR-FTIR spectroscopy coupled with chemometric analysis discriminates normal, borderline and malignant ovarian tissue: classifying subtypes of human cancer. Analyst. 2016;141(2):585–94.CrossRefPubMed
25.
Hamilton TC, Young RC, McKoy WM, Grotzinger KR, Green JA, Chu EW, Whang-Peng J, Rogan AM, Green WR, Ozols RF. Characterization of a human ovarian carcinoma cell line (NIH:OVCAR-3) with androgen and estrogen receptors. Cancer Res. 1983;43(11):5379–89.PubMed
26.
27.
Lau DH, Lewis AD, Ehsan MN, Sikic BI. Multifactorial mechanisms associated with broad cross-resistance of ovarian carcinoma cells selected by cyanomorpholino doxorubicin. Cancer Res. 1991;51(19):5181–7.PubMed
28.
Benard J, Da Silva J, De Blois MC, Boyer P, Duvillard P, Chiric E, Riou G. Characterization of a human ovarian adenocarcinoma line, IGROV1, in tissue culture and in nude mice. Cancer Res. 1985;45(10):4970–9.PubMed
29.
Dong L, Sun X, Chao Z, Zhang S, Zheng J, Gurung R, Du J, Shi J, Xu Y, Zhang Y, Wu J. Evaluation of FTIR spectroscopy as diagnostic tool for colorectal cancer using spectral analysis. Spectrochim Acta A Mol Biomol Spectrosc. 2014;122:288–94.CrossRefPubMed
30.
Gioacchini G, Giorgini E, Vaccari L, Ferraris P, Sabbatini S, Bianchi V, Borini A, Carnevali O. A new approach to evaluate aging effects on human oocytes: Fourier transform infrared imaging spectroscopy study. Fertil Steril. 2014;101(1):120–7.CrossRefPubMed
31.
Wood BR, Chiriboga L, Yee H, Quinn MA, McNaughton D, Diem M. Fourier transform infrared (FTIR) spectral mapping of the cervical transformation zone, and dysplastic squamous epithelium. Gynecol Oncol. 2004;93(1):59–68.CrossRefPubMedPubMedCentral
32.
Derenne A, Van Hemelryck V, Lamoral-Theys D, Kiss R, Goormaghtigh E. FTIR spectroscopy: a new valuable tool to classify the effects of polyphenolic compounds on cancer cells. Biochim Biophys Acta. 2013;1832(1):46–56.CrossRefPubMed
33.
Gaigneaux A, Ruysschaert JM, Goormaghtigh E. Infrared spectroscopy as a tool for discrimination between sensitive and multiresistant K562 cells. Eur J Biochem. 2002;269(7):1968–73.CrossRefPubMed
34.
Wu BB, Gong YP, Wu XH, Chen YY, Chen FF, Jin LT, Cheng BR, Hu F, Xiong B. Fourier transform infrared spectroscopy for the distinction of MCF-7 cells treated with different concentrations of 5-fluorouracil. J Transl Med. 2015;13:108.CrossRefPubMedPubMedCentral
35.
Gao Y, Huo X, Dong L, Sun X, Sai H, Wei G, Xu Y, Zhang Y, Wu J. Fourier transform infrared microspectroscopy monitoring of 5-fluorouracil-induced apoptosis in SW620 colon cancer cells. Mol Med Rep. 2015;11(4):2585–91.CrossRefPubMed
36.
Glassford SE, Byrne B, Kazarian SG. Recent applications of ATR FTIR spectroscopy and imaging to proteins. Biochim Biophys Acta. 2013;1834(12):2849–58.CrossRefPubMed
37.
Susi H, Byler DM. Resolution-enhanced Fourier transform infrared spectroscopy of enzymes. Methods Enzymol. 1986;130:290–311.CrossRefPubMed
38.
Gezici O, Demir I, Demircan A, Unlu N, Karaarslan M. Subtractive-FTIR spectroscopy to characterize organic matter in lignite samples from different depths. Spectrochim Acta A Mol Biomol Spectrosc. 2012;96:63–9.CrossRefPubMed
39.
Derenne A, Verdonck M, Goormaghtigh E. The effect of anticancer drugs on seven cell lines monitored by FTIR spectroscopy. Analyst. 2012;137(14):3255–64.CrossRefPubMed
Metadata
Title
Characterization of ovarian cancer cells and tissues by Fourier transform infrared spectroscopy
Authors
Lei Li
Xiaoning Bi
Hengzi Sun
Simiao Liu
Mei Yu
Ying Zhang
Shifu Weng
Limin Yang
Yanan Bao
Jinguang Wu
Yizhuang Xu
Keng Shen
Publication date
01-12-2018
Publisher
BioMed Central
Published in
Journal of Ovarian Research / Issue 1/2018
Electronic ISSN: 1757-2215
DOI
https://doi.org/10.1186/s13048-018-0434-8

Other articles of this Issue 1/2018

Journal of Ovarian Research 1/2018 Go to the issue

Research

DHEA-induced ovarian hyperfibrosis is mediated by TGF-β signaling pathway

Research

Transparency in ovarian cancer clinical trial results: ClinicalTrials.gov versus PubMed, Embase and Google scholar

Research

Sialylation of EGFR by the ST6Gal-I sialyltransferase promotes EGFR activation and resistance to gefitinib-mediated cell death

Research

Endometriosis does not confer improved prognosis in ovarian clear cell carcinoma: a retrospective study at a single institute

Research

Diagnostic value of the gynecology imaging reporting and data system (GI-RADS) with the ovarian malignancy marker CA-125 in preoperative adnexal tumor assessment

Research

Pioglitazone is effective for multiple phenotyepes of the Zucker fa/fa rat with polycystc ovary morphology and insulin resistance