The present disclosure relates to a Proteomics-to-Genomics approach allows for in silico validation of biomarkers and drug targets. Biomarkers having high prognostic value in predicting cancer patient populations that may benefit from mitochondrial biogenesis inhibitor therapy may be identified under the present approach. Also disclosed are methods for identifying candidates for anti-mitochondrial therapy, and in particular mitochondrial biogenesis inhibitor therapy. Diagnostic kits including reagents for determining transcripts or probes of high prognostic value are also disclosed. Additionally, mitochondrial biogenesis inhibitors may be used as anti-cancer agents for diverse oncogenic stimuli, including for example, c-MYC and H-Ras oncogenes, as well as environmental stimuli such as, for example rotenone.
