Survival at tumor recurrence in soft matter, after chemotherapy, is assessed by RNA folding. It is shown that this recurrence is starting with development of a fluidlike globule; it changes the energy of soft matter; it proceeds as a resonant mixing; and at the end it causes diffusion. This diffusion is interpreted as metastasis in soft matter. A tumor memory is designed for its recurrence oscillations. These oscillations are marked as positive or negative according to their influence on life stabilization or destabilization. It is demonstrated that a tumor memorizes two types of recurrences. The intensity of chemotherapy in soft matter for a tumor with such memory is obtained. Survival at tumor recurrence in soft matter, after chemotherapy, is assigned to one of the five regions of the phase diagram of the “thermalized” tumor by microenvironment. To each of these regions is collated a breast cancer survival class. It is found that the survival at tumor recurrence in soft matter, after chemotherapy, well represents actual survival of 32 patients with breast cancer.
References
[1]
Melkikh, A.V. and Meijer, D.K.F. (2018) On a Generalized Levinthal’s Paradox: The Role of Long- and Short-Range Interactions in Complex Bio-Molecular Reactions, Including Protein and DNA Folding. Progress in Biophysics and Molecular Biology, 132, 57-79. https://doi.org/10.1016/j.pbiomolbio.2017.09.018
[2]
Meijer, D.K.F. and Geesink, H.J.H. (2018) Favourable and Unfavourable EMF Frequency Patterns in Cancer: Perspectives for Improved Therapy and Prevention. Journal of Cancer Therapy, 9, 188-230. https://doi.org/10.4236/jct.2018.93019
[3]
Geesink, H.J.H. and Meijer, D.K.F. (2018) Mathematical Structure for Electromagnetic Frequencies That May Reflect Pilot Waves of Bohm’s Implicative Order. Journal of Modern Physics, 9, 851-897. https://doi.org/10.4236/jmp.2018.95055
[4]
Stalidzans, E., et al. (2020) Mechanistic Modeling and Multiscale Applications for Precise Medicine: Theory and Practice. Network and Systems Medicine, 3, 36-56. https://doi.org/10.1089/nsm.2020.0002
[5]
Chamseddine, I.M. and Rejniak, K.A. (2020) Hybrid Modeling Frameworks of Tumor Development and Treatment. WIREs Systems Biology and Medicine, 12, e1461. https://doi.org/10.1002/wsbm.1461
[6]
Biyun, S., Cho, S.S. and Thirumalai, D. (2011) Folding of Human Telomerase RNA Pseudoknot Using Ion-Jump and Temperature-Quench Simulations. Journal of the American Chemical Society, 133, 20634-20643. https://doi.org/10.1021/ja2092823
[7]
Jo, J., Fortin, J.Y. and Choi, M.Y. (2011) Weibull-Type Limiting Distribution for Replicative Systems. Physical Review E, 83, Article ID: 031123. https://doi.org/10.1103/PhysRevE.83.031123
[8]
Thapliyal, K., Banerjee, S., Pathak, A., Omkar, S. and Ravishankar, V. (2015) Quasiprobability Distributions in Open Quantum Systems: Spin-Qubit Systems. Annals of Physics, 362, 261-286. https://doi.org/10.1016/j.aop.2015.07.029
[9]
Schulte-Herbrüggen, T., Marx, R., Fahmy, A., Kauffman, L., Lomonaco, S., Khaneja, N. and Glaser, S.J. (2012) Control Aspects of Quantum Computing Using Pure and Mixed States. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 370, 4651-4670. https://doi.org/10.1098/rsta.2011.0513
[10]
Chandrashekar, C.M., Banerjee, S. and Srikanth, R. (2010) Relationship between Quantum Walks and Relativistic Quantum Mechanics. Physical Review A, 81, Article ID: 062340. https://doi.org/10.1103/PhysRevA.81.062340
[11]
Varigonda, S. and Georgiou, T.T. (2001) Dynamics of Relay Relaxation Oscillators. IEEE Transactions on Automatic Control, 46, 65-77. https://doi.org/10.1109/9.898696
[12]
Bizoń, P. and Rostworowski, A. (2011) Weakly Turbulent Instabilization of Anti-de Sitter Spacetime. Physical Review Letters, 107, Article ID: 031102. https://doi.org/10.1103/PhysRevLett.107.031102
[13]
Bruschi, D.E. (2018) Work Drives Time Evolution. Annals of Physics, 394, 155-161. https://doi.org/10.1016/j.aop.2018.04.028
[14]
Smith, A.M., Dave, S., Nie, S., True, L. and Gao, X. (2006) Multicolor Quantum Dots for Molecular Diagnostics of Cancer. Expert Review of Molecular Diagnostics, 6, 231-244. https://doi.org/10.1586/14737159.6.2.231
[15]
Suen, W.Y., Thompson, J., Garner, A.J., Vedral, V. and Gu, M. (2017) The Classical-Quantum Divergence of Complexity in Modeling Spin Chains. Quantum, 1, 25. https://doi.org/10.22331/q-2017-08-11-25
[16]
Suen, W.Y., Elliot, T.J., Thompson, J., Garner, A.J.P., Mahoney, J.R., Vedral, V. and Gu, M. (2018) Surveying Structural Complexity in Quantum Many-Body Systems. https://arxiv.org/pdf/1812.09738.pdf
[17]
Fagotti, M. (2015) Control of Global Properties in a Closed Many-Body Quantum System by Means of a Local Switch. https://arxiv.org/pdf/1508.04401.pdf
[18]
Bonfim, Oz de Alcantara, Boechat, B. and Florencio, J. (2017) Quantum Fidelity Approach to the Ground-State Properties of the One-Dimensional Axial Next-Nearest-Neighbor Ising Model in a Transverse Field. Physical Review E, 96, Article ID: 042140. https://doi.org/10.1103/PhysRevE.96.042140
[19]
Trifonova, I., Kurteva, G. and Stefanov, S.Z. (2014) Success of Chemotherapy in Soft Matter. https://arxiv.org/pdf/1404.0936.pdf
