Intratumor heterogeneity: models of malignancy emergence and evolution
Cancer is a complex and heterogeneous disease characterized by the accumulation of genetic alterations that drive uncontrolled cell growth and proliferation. Evolutionary dynamics plays a crucial role in the emergence and development of tumors, shaping the heterogeneity and adaptability of cancer ce...
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| Format: | Article |
| Language: | English |
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Siberian Branch of the Russian Academy of Sciences, Federal Research Center Institute of Cytology and Genetics, The Vavilov Society of Geneticists and Breeders
2023-12-01
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| Series: | Вавиловский журнал генетики и селекции |
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| Online Access: | https://vavilov.elpub.ru/jour/article/view/3981 |
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| _version_ | 1832575023555018752 |
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| author | R. A. Ivanov S. A. Lashin |
| author_facet | R. A. Ivanov S. A. Lashin |
| author_sort | R. A. Ivanov |
| collection | DOAJ |
| description | Cancer is a complex and heterogeneous disease characterized by the accumulation of genetic alterations that drive uncontrolled cell growth and proliferation. Evolutionary dynamics plays a crucial role in the emergence and development of tumors, shaping the heterogeneity and adaptability of cancer cells. From the perspective of evolutionary theory, tumors are complex ecosystems that evolve through a process of microevolution influenced by genetic mutations, epigenetic changes, tumor microenvironment factors, and therapyinduced changes. This dynamic nature of tumors poses significant challenges for effective cancer treatment, and understanding it is essential for developing effective and personalized therapies. By uncovering the mechanisms that determine tumor heterogeneity, researchers can identify key genetic and epigenetic changes that contribute to tumor progression and resistance to treatment. This knowledge enables the development of innovative strategies for targeting specific tumor clones, minimizing the risk of recurrence and improving patient outcomes. To investigate the evolutionary dynamics of cancer, researchers employ a wide range of experimental and computational approaches. Traditional experimental methods involve genomic profiling techniques such as nextgeneration sequencing and fluorescence in situ hybridization. These techniques enable the identification of somatic mutations, copy number alterations, and structural rearrangements within cancer genomes. Furthermore, singlecell sequencing methods have emerged as powerful tools for dissecting intratumoral heterogeneity and tracing clonal evolution. In parallel, computational models and algorithms have been developed to simulate and analyze cancer evolution. These models integrate data from multiple sources to predict tumor growth patterns, identify driver mutations, and infer evolutionary trajectories. In this paper, we set out to describe the current approaches to address this evolutionary complexity and theories of its occurrence. |
| format | Article |
| id | doaj-art-7623980b74af4aca8b7f3a73531aa87b |
| institution | Kabale University |
| issn | 2500-3259 |
| language | English |
| publishDate | 2023-12-01 |
| publisher | Siberian Branch of the Russian Academy of Sciences, Federal Research Center Institute of Cytology and Genetics, The Vavilov Society of Geneticists and Breeders |
| record_format | Article |
| series | Вавиловский журнал генетики и селекции |
| spelling | doaj-art-7623980b74af4aca8b7f3a73531aa87b2025-02-01T09:58:12ZengSiberian Branch of the Russian Academy of Sciences, Federal Research Center Institute of Cytology and Genetics, The Vavilov Society of Geneticists and BreedersВавиловский журнал генетики и селекции2500-32592023-12-0127710.18699/VJGB-23-941409Intratumor heterogeneity: models of malignancy emergence and evolutionR. A. Ivanov0S. A. Lashin1Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of SciencesInstitute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences; Novosibirsk State UniversityCancer is a complex and heterogeneous disease characterized by the accumulation of genetic alterations that drive uncontrolled cell growth and proliferation. Evolutionary dynamics plays a crucial role in the emergence and development of tumors, shaping the heterogeneity and adaptability of cancer cells. From the perspective of evolutionary theory, tumors are complex ecosystems that evolve through a process of microevolution influenced by genetic mutations, epigenetic changes, tumor microenvironment factors, and therapyinduced changes. This dynamic nature of tumors poses significant challenges for effective cancer treatment, and understanding it is essential for developing effective and personalized therapies. By uncovering the mechanisms that determine tumor heterogeneity, researchers can identify key genetic and epigenetic changes that contribute to tumor progression and resistance to treatment. This knowledge enables the development of innovative strategies for targeting specific tumor clones, minimizing the risk of recurrence and improving patient outcomes. To investigate the evolutionary dynamics of cancer, researchers employ a wide range of experimental and computational approaches. Traditional experimental methods involve genomic profiling techniques such as nextgeneration sequencing and fluorescence in situ hybridization. These techniques enable the identification of somatic mutations, copy number alterations, and structural rearrangements within cancer genomes. Furthermore, singlecell sequencing methods have emerged as powerful tools for dissecting intratumoral heterogeneity and tracing clonal evolution. In parallel, computational models and algorithms have been developed to simulate and analyze cancer evolution. These models integrate data from multiple sources to predict tumor growth patterns, identify driver mutations, and infer evolutionary trajectories. In this paper, we set out to describe the current approaches to address this evolutionary complexity and theories of its occurrence.https://vavilov.elpub.ru/jour/article/view/3981cancerevolutionheterogeneity |
| spellingShingle | R. A. Ivanov S. A. Lashin Intratumor heterogeneity: models of malignancy emergence and evolution Вавиловский журнал генетики и селекции cancer evolution heterogeneity |
| title | Intratumor heterogeneity: models of malignancy emergence and evolution |
| title_full | Intratumor heterogeneity: models of malignancy emergence and evolution |
| title_fullStr | Intratumor heterogeneity: models of malignancy emergence and evolution |
| title_full_unstemmed | Intratumor heterogeneity: models of malignancy emergence and evolution |
| title_short | Intratumor heterogeneity: models of malignancy emergence and evolution |
| title_sort | intratumor heterogeneity models of malignancy emergence and evolution |
| topic | cancer evolution heterogeneity |
| url | https://vavilov.elpub.ru/jour/article/view/3981 |
| work_keys_str_mv | AT raivanov intratumorheterogeneitymodelsofmalignancyemergenceandevolution AT salashin intratumorheterogeneitymodelsofmalignancyemergenceandevolution |