Cancer is one of the most critical challenges today as one1- Cancer Modeling, 2- Quorum Sensing, 3- Glioma Cancer, 4- Evolutionary Game Theory. of the ten leading causes of death in the world. Every year, most governments spend large amounts of national budgets on research projects to model cancer in order to ropose appropriate treatment protocols. The main complicating characteristics of cancer are first, its autonomous increasing growth, and second, invasive expansion in the body which happens by transforming cells and tissues into new areas. Cancer initiates with a randomized mutation and activity of these cells continues by their natural selection and cellular evolution following the Darwinian evolutionary principles. So far, there are many kinds of research in modeling and studying the behavior of cancer tumors in various fields including mathematics, biology, physics, and computers. Most of these models do not pay attention to the evolutionary trend of cancer tumors. Evolutionary game theory is a method for studying the evolutionary and dynamic behavior of the cancer cells. Many models have been developed using evolutionary game theory which each of them has some weaknesses and strengths in terms of cancer modeling. Each of these models examines the complex and different behaviors of the tumor in terms of angiogenesis, drug resistance, cellular invasion, and metabolic changes in the cells. Cancer reactions in the presence of pharmaceutical agents, also known as drug resistance, is one of the most unusual cancer tumor behaviors that has a similar process with behavior of bacteria. Quorum sensing is the process observed in the collective interactions of bacteria such as biofilm production. There are many evolutionary game models addressing cancer and bacterial drug resistance. The most significant weakness in most cases is lack of structure and collective interactions among cells, and also there is not any game theoretical model that proves the Quorum sensing in the cancer population. The purpose of this study is to investigate the Quorum sensing in cancer cells with a game theoretical approach. The quorum sensing, which is a collective behavior, can be seen in the cancer population. We first study the effect of the structure on the results of the game analysis by studying a basic model, with three phenotypes, then, we use the replicator equations to examine the number of neighbors of each cell and the Quorum sensing in the tumor. In the long run, we examined the model with a four-phenotype and analyze the role of the quorum sensing in it. This process of analyzing and considering the structure and behavior of our measurement has yielded results that we can use as suggestions for the design of the treatment protocol. Additionally,, proving the existence of Quorum sensing in cancer cells that is presented for the first time with an evolutionary perspective, can provide a good view of collective interactions in between cancer tumors which because of this behavior in bacteria, it can play an effective role in finding appropriate therapeutic approaches.