title: Cisplatin Resistant Patterns in Ovarian Cell Line Using FTIR and Principle Component Analysis.
abstract: Cisplatin is a common chemotherapeutic agent that used for treatment of many solid cancers. Rapid identification of chemotherapy resistance is very important and may lead to effective treatment plan. Spectroscopy techniques, such as infrared spectroscopy, which are sensitive to biochemical composition of samples, have shown potentials to discriminate tissues. Developing in Fourier transform infrared (FTIR) as a diagnostic tool support conventional technique in investigating cell phenotype. By this goal three different cell lines, two cisplatin resistant OV2008-DDP (C13) and A2780-CP ovarian cell lines and one cisplatin sensitive A2780 cell line were investigated by FTIR spectroscopy. Data were subjected to principle component analysis (PCA) to obtain FTIR pattern for cisplatin resistance. Using FTIR spectroscopy on these cells in the range of 400-4000 cm(-1) was shown dramatic change in cells. Results shows that Cisplatin resistance pattern is characterized in spectrum with the alteration of conformation in secondary structure of proteins and a shift toward the high wave numbers of CH2 stretching vibration. The FTIR data set between 1000 and 3000 cm(-1) could be consumed as biochemical typicality spectra among resistant and sensitive cell lines while correctly classified by PCA model. Our work supports the promise of PCA analysis of FTIR data as a powerful combined approach for the development of automated methods to recognize resistant to cisplatin in experimental cell lines. One of the advantages of this tool is to investigate the resistant percent of cancer cells .Such technique may bring new tool in cancer diagnosis and stage definition in cancerous tissues.
authors.affiliation: Pharmaceutical Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
authors.forename: Rezvan
authors.initials: R
authors.lastname: Zendehdel
authors.forename: Ali
authors.initials: A
authors.lastname: Masoudi-Nejad
authors.forename: Javad
authors.initials: J
authors.lastname: Mohammadzadeh
authors.forename: Farshad
authors.initials: F
authors.lastname: H Shirazi
keywords: Cell line; Drug resistant; Feature extraction; Fourier transform infrared; Principle component analysis