A Chaosological Perspective on Current Oncology Treatment

From adjuvant and neoadjuvant therapy for lung cancer, first-line, second-line, and even third-line options for advanced lung cancer, to molecular targeted therapy, the overall feeling is that, as Professor Kennidy, the father of chemotherapy in the United States, put it, “progress in lung cancer treatment has been as slow as a snail’s pace. Although new chemotherapeutic agents are still being developed and introduced, they have largely reached a plateau in the treatment of lung cancer. The emergence of molecularly targeted drugs and the unintentional or intentional design of drug regimens based on different genetic phenotypes of various cancers have, however, led to many results and phenomena that deserve our attention, for which it is important to re-examine the current approach to tumor treatment with a new perspective. Chaotic phenomena of life activities Chaos theory can reveal the diversity and complexity of life activities There exists diversity and complexity of life activities. Many biological systems are complex nonlinear systems, and chaos, as a component of nonlinear theory and its characteristics, is naturally applied to the field of biology as a new method and means to study the laws of biological complex systems. The current research results show that chaos exists in many biological systems. A correct view of chaotic phenomena in tumor treatment As we can see above, chaotic phenomena exist widely in the living phenomena of living organisms. Therefore, if the tumor treatment process is simply regarded as a linear process, it is difficult to understand the various repeated and unstable treatment results in the above tumor treatment phenomena. At present, probabilism still dominates in tumor treatment, and people still hope to provide evidence to the current treatment by random probability, and evidence-based approaches are constantly proposing affirmative and soon turning into negative conclusions. So why is this? Oncology treatment ignores the fact that the human body is a large system and that the nature of chaos is dependent on initial conditions, a nonlinear problem. Our current clinical treatment is only at the stage of a system to intervene by different means. It is more of a typical case study and probabilistic analysis. Thus, randomized evidence-based in guiding the whole of oncology treatment. We hope to explain everything in a probabilistic view with evidence-based approach. The tumor cell is a runaway protein molecule that has developed abnormally in its division and replication. It can be analyzed in the chaotic state view of protein molecules. The famous theoretical physicist and theoretical biologist A.S. Davydov, in the late 1970s, transferred his theory of isolines in one-micromolecules to a helical protein molecule and derived the equations of motion expressing the collective excitation of the a-helical protein molecule and the displacement changes of the molecular chains, which can be reduced to the nonlinear Sitting calyx equation under the continuous approximation. Since the continuous similarity is used, the a-helix protein molecule is viewed as a straight line along the x-axis. Our scholar, Lingyun Zhou et al. evolved the Davydov equation based on the Davydov equation by considering the effect of electromagnetic waves, and the result is that the system has a Smale horseshoe, which indicates the chaos of the system. The above results show that protein molecules change in the state of isolator motion to chaotic motion under the action of laser light. Whereas the weak laser light, when acting on living beings, produces mainly thermal and optical effects from the macroscopic point of view, electromagnetic and its quantum effects from the microscopic point of view. In other words, the motion of these macromolecules in proteins, under the action of external stimuli, will change from simple motion to complex chaotic motion, and its replication out of the next generation may be unpredictable, i.e., the emergence of tumor cells, and for the treatment of tumors, such as the use of chemotherapy, targeted therapy and other methods, is the use of the chaotic phenomenon of chaos to the initial position of extreme sensitivity to this feature of chaotic interference control, so that under certain conditions, the chaos phenomenon is attenuated and the external manifestation of the disease is improved, i.e., the use of a very small correction will have a very significant inhibitory effect on the development of chaos. This also explains the reason why the difference between the effect of single-blocking treatment and multi-blocking treatment, i.e., due to the presence of chaotic phenomena, both single and multi-interference, bring about little difference in the final result. In addition, since the treatment only interferes with and inhibits chaos, but does not eliminate the underlying cause of chaos, it is easy to understand that it is difficult to cure the tumor. Peter Laird, University of California, USA Laird’s research confirms that cancer originates from stem cells, which are marked by a silent gene, and that the permanent silencing of the gene prevents the differentiation of embryonic stem cells, which become the seeds of cancer. These embryonic stem cells become the seeds of cancer, the initial condition that eventually leads to the formation of cancer over the course of life. They found that 77 of 177 genes repressed by Polycomb proteins showed signs of cancer-related DNA enzyme modifications, and that the odds of a Polycomb target protein being abnormally methylated in embryonic stem cells were 12-fold, and that genes repressed by Polycomb proteins predicted that their expression would be permanently shut down due to methylation. Conclusion 1. The cause of tumor is the chaotic movement of the originally regular protein replication due to external stimuli, which leads to the aberrant replication results; 2. The real cure of tumor is possible only when the conditions of protein molecular chaos are destroyed.