We hypothesize that the differential expression profile of human adipose tissue-secreted proteins is sufficient to distinguish cancer patients from healthy through unsupervised machine learning analysis, and that alterations in adipokine expression (specifically decreased adiponectin and increased leptin) are associated with adverse clinical and pathological features in kidney cancer patients. This evidence concerns the gene ADIPOQ and kidney cancer.