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Queen Mary University of LondonQueen Mary University of London
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School of Engineering and Materials Science
Research Student Awards

PhD Thesis: Spectroscopic Investigation of Cancerous Tissues

Author: MOVASAGHI, Zanyar

Year: 2009

Supervisor(s): Ihtesham Rehman

Different types of cell lines and tissues are investigated by Raman and Fourier Transform Infrared (FTIR) spectroscopy in this PhD project.

The first part is a comprehensive study on most frequently used peak assignments in biological applications of the technique, i.e. on cells, cell lines and tissues.

For the first time, three types of human testicular cancer cell lines are investigated. These cell lines come in pairs: one sensitive to chemotherapeutic treatments and one resistant. The spectral and biochemical differences between the two types are presented. This is the first time that spectral specifications of human ovarian cell lines treated with different concentrations of chemotherapeutic agents are investigated. The study could successfully show the stages of the influence of the medication on the cell lines. Spectra of human lymphoma cell lines are also analysed and compared with other types of cell lines.

In addition, human breast tissue samples are analysed with the two spectroscopic methods. The techniques are capable of distinguishing between normal breast tissue, ductal carcinoma in situ (DCIS), and invasive ductal carcinoma (IDC) of breast. The different grades of the malignancies are also successfully distinguished.

Bortezomib (a powerful anti-neoplastic agent against multiple myeloma) is not effective against lymphoma. This study analyses the chemical reaction between Bortezomib and quercetin (a dietary flavonoids abundant in the plasma) using spectroscopy. It is concluded that flavonoids can reduce the killing activity of Bortezomib on circulating leukaemic cells.

Finally, human chondrocyte cells are investigated in order to analyse the effect of cell concentration on the intensity of spectral peaks. It is believed that higher concentration of cells in the samples result in more intense peaks. This study shows that it would be possible to show this relationship in terms of numerical equations.