An accurate and simultaneous estimate of cellular levels of a large cytokine number is very useful to obtain information about an organ dysfunction leading to cancer because through the understanding of the evolution of cytokine patterns we can recognize and predict the disease progression. Cancer cell lines are commonly used to study the cancer microenvironment, to analyze their chemosensitivity and carcinogenesis as well as to test in vitro the effect of molecules, such as drugs or anti-oxidants, on the inflammation status and its progression. We noted that various cell lines commonly used as a model for studies on liver and colon cancer possess different patterns of cytokines. This aspect may generate data not comparable in laboratories using different cell lines; thus, to investigate the origin of these abnormalities we compared the cell lines HepG2 and Huh7, and HT-29 and HCT-116, for liver and colon cancer, respectively. In this context we have evaluated and compared the levels of cytokines, chemokines and growth factors in the supernatants of these cellular lines. Our aim was to identify what cytokines were significantly different correlating similarities and differences to the specific inflammation status of each cellular model of cancer.