S M Nazmuz Sakib’s Microbiological Tumor Evolutionary Equation (MTEE): A Mathematical Framework for Understanding the Co-Evolution of Tumors and Microbiomes in Cancer Progression and Response to Therapy
DOI:
https://doi.org/10.31557/apjcn.2063.20251026Keywords:
S M Nazmuz Sakib's Microbiological Tumor Evolutionary Equation, tumor-microbiome interaction, MTEEAbstract
The two-way interaction between cancer and microbiome has attracted growing interest because of the possibility of its involvement in tumorigenesis, metastasis, and chemotherapy resistance. The co-evolution dynamics of tumors and microbiomes, however, and their impact on cancer biology, are unknown. This work presents S M Nazmuz Sakib’s Microbiological Tumor Evolutionary Equation (MTEE), a new mathematical model calculating the feedback processes between tumor cells and their related microbial communities. The MTEE applies evolutionary biology, microbial dynamics, and oncology to simulate how selective pressures of the tumor microenvironment mold microbial communities and consequently tumor growth and treatment response. By probing this evolutionary connection, the MTEE sheds light on the role of microbiomes in cancer development, metastasis, and treatment response. The platform further provides simulation of microbial therapies (e.g., probiotics, antibiotics, crafted microbiomes) to predict their effect on tumor phenotype and response to treatment. Finally, the MTEE is a perceptive tool for personalized cancer diagnosis and treatment, toward the goal of microbiome-guided interventions in cancer.

