Raman spectroscopy and Multivariate methods were used to study serum blood samples of control and breast cancer
patients. Blood samples were obtained from 11 patients and 12 controls from the central region of Mexico. Our results
show that principal component analysis is able to discriminate serum sample of breast cancer patients from those of
control group, also the loading vectors of PCA plotted as a function of Raman shift shown which bands permitted to
make the maximum discrimination between both groups of samples.