Early identification of cervical neoplasia with Raman spectroscopy and advanced methods for biomedical applications

Early detection of malignant tumours, or their precursor lesions, can dramatically improve patient outcome. High risk human Papillomavinis (HPV), particularly HPV16, infection can lead to the initiation and development of uterine cervical neoplasia. Bearing this in mind the identification of the effects of HPV infection may have clinical value. In this manuscript we investigate the application of Raman microspectroscopy to detect the presence of HPV in cultured cells when compared with normal cells. We also investigate the effect of sample fixation, which is a common clinical practice, on the ability of Raman spectroscopy to detect the presence of HPV. Raman spectra were acquired from Primary Human Keratinocytes (PHK), PHK expressing the E7 gene of HPV 16 (PHK E7) and CaSki cells, an HPV 16 containing cervical carcinoma derived cell line. The average Raman spectra display variations, mostly in peaks relating to DNA and proteins, consistent with HPV gene expression and the onset of neoplasia in both live and fixed samples. Principle component analysis was used to objectively discriminate between the cells types giving sensitivities up to 100% for the comparison between PHK and CaSki. These results show that Raman spectroscopy can discriminate between cell lines representing different stages of cervical neoplasia. Furthermore Raman spectroscopy was able to identify cells expressing the HPV 16 E7 gene suggesting the approach may be of value in clinical practice. Finally this technique was also able to detect the effects of the virus in fixed samples demonstrating the compatibility of this technique with current cervical screening methods. However if Raman spectroscopy is to make a significant impact in clinical practice the long acquisition times must be addressed. In this report we examine the potential for beam shaping and advanced to improve the signal to noise ration hence subsequently facilitating a reduction in acquisition time.