ABSTRACT
We witness an explosion in bionetwork data along with computational approaches development for analyses. Interdisciplinary research area is integral part of systems biology, promising to provide new insights into life, evolution, and disease organizational principles. Prostate neoplasia aggressiveness is classified into benign, localized, and metastatic via a study of hundreds of thousands ion features. Metabolism software shows that sarcosine modulates invasiveness. Mitochondrial dysfunction plays a central role in a wide range of age-related disorders and various cancer forms. Urine and blood are ideal fluids in search for new markers able to discriminate between prostate cancer and health. Presence of prostate-specific antigen in blood is a probe for cancer detection and, although sometimes when it rises it can indicate cancer, when it is not present it can overlook tumors that endanger life. This report reviews the state of the art of metabolism platforms for discriminating disease (prostate neoplasia) mechanisms.
