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Explaining the dynamics of tumor aggressiveness: At the crossroads between biology, artificial intelligence and complex systems
Abstract
Facing metastasis is the most pressing challenge of cancer research. In this review, we discuss recent advances in understanding phenotypic plasticity of cancer cells, highlighting the kinetics of cancer stem cell and the role of the epithelial mesenchymal transition for metastasis. It appears that the tumor micro-environment plays a crucial role in triggering phenotypic transitions, as we illustrate discussing the challenges posed by macrophages and cancer associated fibroblasts. To disentangle the complexity of environmentally induced phenotypic transitions, there is a growing need for novel advanced algorithms as those proposed in our recent work combining single cell data analysis and numerical simulations of gene regulatory networks. We conclude discussing recent developments in artificial intelligence and its applications to personalized cancer treatment.
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“Studies have shown that CAFs can promote tumor growth, angiogenesis, resistance to chemotherapy and metastasis, and enhance cancer progression [131,132], thereby naturally directing cells towards immortality.”
From Cell Immortality: In Vitro Effective Techniques to Achieve and Investigate Its Applications and Challenges (2024) · cites this paper as [132]
Citations
Cites
Hypoxia and the extracellular matrix: drivers of tumour metastasis
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“The reactivation of the dormant cells appears to involve many factors including TGFbeta that support the production of periostin from stromal fibroblasts and endothelial cells in the vascular area [57, 58].”
BackgroundSchneider, G. (2018) · Nature Reviews Drug Discovery · doi:10.1038/nrd.2017.232 · Cited by 910 · cited 1×
“Pharmaceutical companies are also changing their approach and try to develop new drugs using machine learning [82] but they are also starting to appreciate the potentially interesting information hidden in already available data.”
BackgroundTumor-associated macrophages: from basic research to clinical application
Yang, L., & Zhang, Y. (2017) · Journal of Hematology & Oncology · doi:10.1186/s13045-017-0430-2 · Cited by 847
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Cited by
Chalak, M., Hesaraki, M., Mirbahari, S. N., Yeganeh, M., Abdi, S., Rajabi, S., & Hemmatzadeh, F. (2024) · Life · doi:10.3390/life14030417 · Cited by 66
Metadata
- Authors
- La Porta, C. A. M., & Zapperi, S.
- Venue
- Seminars in Cancer Biology
- Publisher
- Elsevier BV
- Published
- 2018-12
- Volume
- 53
- Pages
- 42-47
- ISSN
- 1044-579X
- Cited by
- 27
- References
- 7
- Language
- en
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