Patterns Prediction of Chemotherapy Sensitivity in Cancer Cell lines Using FTIR Spectrum, Neural Network and Principal Components Analysis

Abstract

Drug resistance enables cancer cells to break away from cytotoxic effect of anticancer drugs. Identification of resistant phenotype is very important because it can lead to effective treatment plan. There is an interest in developing classifying models of resistance phenotype based on the multivariate data. We have investigated a vibrational spectroscopic approach in order to characterize a sensitive human ovarian cell line, A2780, and its cisplatin-resistant derivative, A2780-cp. In this study FTIR method have been evaluated via the use of principal components analysis (PCA), ANN (artificial neuronal network) and LDA (linear discriminate analysis). FTIR spectroscopy on these cells in the range of 400-4000 cm(-1) showed alteration in the secondary structure of proteins and a CH stretching vibration. We have found that the ANN models correctly classified more than 95% of the cell lines, while the LDA models with the same data sets could classify 85% of cases. In the process of different ranges of spectra, the best classification of data set in the range of 1000-2000 cm(-1) was done using ANN model, while the data set between 2500-3000 cm(-1) was more correctly classified with the LDA model. PCA of the spectral data also provide a good separation for representing the variety of cell line spectra. Our work supports the promise of ANN analysis of FTIR spectrum as a supervised powerful approach and PCA as unsupervised modeling for the development of automated methods to determine the resistant phenotype of cancer classification.

Keywords: Artificial neuronal network; Drug resistant; Fourier transform infrared; Linear discriminate analysis; Pattern recognition; Principle component analysis.

Figure 1

Artificial neural network (ANN) architecture (31)

Figure 2

Spectral features of A2780 and A2780-CP cell lines in the range of 1900-700 cm^-1

Figure 3

The normalized FTIR Spectral features of A2780 and A27-80-CP cell lines in the range of 3300-2700 cm^-1

Figure 4

Distribution of predicted model with ANN and LDA in different series of dataset

Figure 5

Score plot of PCA analysis in the four region of data sets resulted from FTIR spectroscopy of cisplatin sensitive A2780 and resistant A2780CP cell lines

Figure 6

Loading plot of PCA analysis in the four region of data sets resulted from FTIR spectroscopy of cisplatin sensitive A2780 and resistant A2780CP cell lines

Figure 7

Biochemical typicality spectra of A2780 and A2780-CP cell lines