Abstract:
Cervical cancer is the most common malignancy among women. Pap test and Colposcopy the existing screening methods were shown to be prone to false positive / negative results. Detection of tumor markers at very low concentrations could not only enhances the sensitivity and specificity of cancer detection but also amplifies the viability of detection of tumor beforehand. Thus, we have employed High Performance Liquid Chromatography coupled with Laser Induced Fluorescence (HPLC-LIF) that can typify proteins at femto/sub-femto mole levels. Tissue homogenates were prepared from seven malignant and four controls by 6 strokes with each revolution time of 30 seconds in saline. Principle Components Analysis (PCA) was employed as multivariate statistical tool. PCA is a data reduction technique where large amount of spectral data is described in terms of small number of independent variables called ‘eigenvectors’ and the scaling constants used to reconstruct the spectra are known as ‘scores’. Scores of factors are widely used parameter for classification of tissue types. Our finding indicates PCA of first derivative chromatograms in 1250-2700 seconds region with 5 factors distinguished normal and malignant chromatograms.
Keywords:
Cervix cancer, Tissue homogenate, Principal Components Analysis, HPLC-LIF.