It is well known that cancer is a complex progressive disease for which, in most cases, there are still not adequate care. It is also true that today some forms of cancer are curable with the possibility to lengthen the life of the patient making it more normal as possible, or in specific cases, such as the cancers of the blood and lymphatic system, even achieve healing. But it is also true that in many cases, an early intervention associated with surgical, chemical (chemotherapy) or physical (radiation) eradication is the only possible way to get a real healing. For years we have had the illusion that the genetic approach was leading to the understanding of the molecular basis of cancer, but the facts tell us that approximately ten percent of tumors may result from clearly detected gene mutations, for the remaining tumors we have only "lack of knowledge" or hypotheses difficult to verify. Stated simply (and I apologize), in science the knowledge is the awareness and understanding of natural phenomena through experience, that is, one must first characterize a phenomenon and then you try to understand its working mechanism. Without these logical processes, we grope in the dark. In fact, we have characterized the cancer, but we do not know how it works. Tens of years of huge financial commitment,  thousands of researchers and joint efforts of entire countries gave only partial results. If one reflects only a moment on the enormity of these efforts, one can understand how the result is poor. Being a computational biologist, I see things from another angle. I've often wondered if there is a logic error in our approach to cancer. Over the years we understood more and more the quantitative aspects at the base of the cell biology and metabolism, and, for this reason the entry into the new millennium represents the symbolic passage from a logic of deterministic type to an indeterministic logic. It means that the metabolism is a complex system made up of a huge metabolic network comprising various well-defined functional levels (genomics, transcriptomics, proteomics, metabolomics, fluxomics, etc.) in a single global system, nevertheless many laboratories still operate within the same level through deterministic approaches because it is simpler, experimentally more manageable and the results easily explainable. Actually, when we experimentally operate a perturbation to one of these physiological levels, the response is mediated through all the levels. This  often causes the non-linearity of the responses, that is, in a complex system is not always applicable the classical deterministic approach of cause and effect. If experimentally we operate locally or on restricted biological events (classical metabolic pathways, enzymes, signaling pathways, etc.) the response will be deterministic, but if we broaden the experimental horizons by perturbing various levels at the same time, the answers become nonlinear and often not experimentally  reproducible because they can be different in space and in time, depending on the micro local environmental condition that can be different even for biological events apparently similar. Since many laboratories still continue to operate mainly through deterministic approaches we have only finite or blurred responses. This, in my opinion, is one of the major reasons that slows and confuses the knowledge of biological and molecular mechanisms underlying cancer, therefore, limiting the possibility of finding real cures. Many experimental data in the literature clearly show the presence of indeterminism in the metabolism. Therefore, it seems legitimate to wonder what are the indeterministic mechanisms at its base; or what is the molecular basis on which it rests; or even how metabolism shows its indeterminism. The basic  idea is that without a proper logical approach it is difficult to have results scientifically usable to fight a so multifaceted disease. On this issue I would like to open a reflection. I apologize for some exemplification that I have made, but it is really difficult to put this argument in a so reduced manner.