There are also some studies using absorption spectra to identify changes in tissue construct and function. See Santoro et al. J Biomed Opt. 2011 Sep;16(9):097007. doi: 10.1117/1.3638135.
Breast cancer spatial heterogeneity in near-infrared spectra and the prediction of neoadjuvant chemotherapy
And Skornyakov et al Infrared absorption spectra of human malignant tumor tissues
Journal of Applied Spectroscopy, May 2008, Volume 75, Issue 3, pp 420-425
Also APPLICATION OF FTIR-SPECTROSCOPY FOR DIAGNOSIS OF BREAST CANCER TUMORS. Dimitrova et al, 2009
Journal of the University of Chemical Technology and Metallurgy, 44, 3, 2009, 297-300
Avalable at http://www.uctm.edu/bg/j2009-3/14_Karamancheva_297-300.pdf
The only one general contribution done in this field is Otto Warburg's metabolic theory relating to impaired mitochondrial function... I mean proposing unique common point/phenotype for probably all tumors. There are many groups working on developing common markers (biochemical/histopathological) for cancer detection... I would advise you to surf through pubmed on warburg effect and mtDNA mutations for further info on this subject. Maybe you'll have your own contribution to their efforts. Good luck, Nayem!
Thanks you all for the answers. My logic is, The clinical use of immunoassays in treatment of cancer at early stages of the disease requires detection of proteins of typically 10^-16 to 10^-12 M concentration in whole blood, blood plasma or serum samples. Detecting this low concentration of proteins is potentially useful for identifying individuals at risk and for clinicians to prescribe preventive measures for these individuals. Current immunoassay technologies typically measure the proteins at concentration above 10^-12 M.
Can i say that, it is viable technique for in diagnosis of few types of cancer, or just blood cancer?
If so, for other type of cancer how we can ensure diagnosis before the malignant stages?
I have studied and wrote articles on my blog. There is no specific biomarker for many cancers but I think p53 gene/protein related analysis can be worked-on for the detection of cancer.