Table 1.
Some general highlights regarding the applications of chemistry, physics, mathematics, and biology in cancer study.
| Description | Authors |
|---|---|
| Highlighted the complexity of chemotherapy resistance in cancer treatment, underlining the need for multidisciplinary approaches to develop more effective therapies. | Abdelmaksoud et al. (101) |
| Developed a “digital twin” of cancer,using AI to detect metastases in radiological reports, promising advances in personalized medicine. | Batch et al. (102) |
| Explored the complexity of cellulardifferentiation and the development of an epigenetic landscape, illustrating the flexibility of cell fate and the importance of models to predict specific cellular outcomes. | Bhattacharya, Zhang and Andersen (103) |
| Highlighted the importance of genetic regulatory networks in development and evolution, evidencing self-organization as fundamental in the formation of complex structures. | Bozorgmehr (104) |
| Approached cancer as an atavistic condition, proposing treatment strategies that exploit the predictability of cancer’s genetic “toolkit” for personalized therapies. | Davies & Lineweaver (105) and Greaves (106) |
| Explored physical and quantum approaches to understand cell migration and cancer, suggesting more integrated models to explain complex biological processes. | Brückner & Broedersz (98), Demetrius et al. (107), Bordonaro & Ogryzko (108), and Djordjevic & Djordjevic (109) |
| Discussed the reconciliation between theories of carcinogenesis through systems biology, suggesting that cancer exists in states of self-organized criticality. | Grunt & Heller (110) |
| Proposed a connection between tissue specialization in the evolution of multicellularity and cancer development, highlighting phenotypic plasticity as a crucial factor. | Hammarlund et al. (111) |
| Addressed the importance of mechanical and chemical signals in cell biology, focusing on EMT and vascular adaptation, respectively. | Humphrey (112) and Tripathi, Levine & Jolly (113) |
| Explored Dictyostelium discoideum as a model to understand cellular cooperation and competition, with implications for cancer research. | Kawli & Kaushik (114) |
| Highlighted the importance of key proteins in the response to replication stress and cell cycle control in cancer, suggesting quantum biology to find new therapies. | Khamidullina et al. (115) |
| Investigated the correlation between nuclear morphology and the survival of cells treated with cisplatin, emphasizing multinucleated polyploidy and chemotherapy resistance. | Kim et al. (116) |
| Analyzed cancer metastasis, emphasizing the tumor microenvironment, phenotypic heterogeneity, cellular plasticity, and cell mechanics as crucial factors for progression. | Mierke (117) |
| Emphasized the adaptive response of cells to anticancer treatment and natural selection, showing the importance of physical and biological modifications in cancer resistance. | Mittal et al. (118) and Jacobeen et al. (119) |
| Discussed the loss of coherence as contributing to cancer development, suggesting the restoration of coherence as a therapeutic strategy. | Plankar & Jerman (120) |
| Applied chaos theory and fractal mathematics to the study of cancer, focusing on metabolism and the immune system as targets for treatment. | Sharma (121) |
| Discussed the importance of cellular mechanical memory and physical principles in tissue organization, with implications for cancer. | Trepat & Sahai (122) and Price et al. (123) |