Dissecting cell fate dynamics in pediatric glioblastoma through the lens of complex systems and cellular cybernetics

Uthamacumaran, Abicumaran

doi:10.1007/s00422-022-00935-8

Cited by 2 publications

(4 citation statements)

References 215 publications

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“…The existence and importance of gene regulatory networks no longer needs further debate, but how to obtain a dynamically workable and biologically rational network remains in controversy (Kim et al 2023; Badia-i-Mompel et al 2023; Prokop 2022; Uthamacumaran 2022). As the first step, we chose a bottom-up way based on causality knowledge rather than a top-down data driven way to construct the network.…”

Section: Resultsmentioning

confidence: 99%

“…Notably, Hoang et al (Hoang et al 2020) have driven gene regulatory networks of retinal regeneration from data, Suvà and Tirosh (Suvà and Tirosh 2020) have obtained single cell scale distribution of different glioma samples in a time section way. Even so, these data-based studies currently still face the difficulty of insufficient quality and quantity of data (Kirk, Babtie, and Stumpf 2015;Uthamacumaran 2022). These data-driven studies are a continuation of the data explosion brought by the technological revolution witnessed in the past few decades.…”

Section: Introductionmentioning

confidence: 99%

“…Gliomas and the normal glial system may follow the same differentiation rules (Laug, Glasgow, and Deneen 2018), understanding the principle behind the carcinogenesis of glioma and the development process of the glial system, that is, the gene regulatory network and the landscape determined by it (Ao 2008; Huang, Ernberg, and Kauffman 2009; Raju and Siggia 2023; Feinberg and Levchenko 2023), may lead to the enlightenments of the role of GSCs in glioma hierarchy, thereby helping to find insights for new therapies (Lathia et al 2015; Uthamacumaran 2022; Prokop 2022).…”

Section: Introductionmentioning

confidence: 99%

“…Whether GSCs are the cells of glioma origin remains unclear (Biserova et al 2021;Lathia et al 2015;Gimple et al 2019), the intermediate states between somatic glia and glioma cells are still hiding behind haze, even the views of GSCs and non-stem tumor cells (NSTCs) are mutually exclusive in the glioma hierarchy (Lathia et al 2015). Gliomas and the normal glial system may follow the same differentiation rules (Laug, Glasgow, and Deneen 2018), understanding the principle behind the carcinogenesis of glioma and the development process of the glial system, that is, the gene regulatory network and the landscape determined by it (Ao 2008;Huang, Ernberg, and Kauffman 2009;Raju and Siggia 2023;Feinberg and Levchenko 2023), may lead to the enlightenments of the role of GSCs in glioma hierarchy, thereby helping to find insights for new therapies (Lathia et al 2015;Uthamacumaran 2022;Prokop 2022). Currently, data-driven studies are attempting to obtain the gene regulatory network and landscape of glioma and the glial system based on high-throughput data (Csermely et al 2015;Niu et al 2019;Qiu et al 2022;Feinberg and Levchenko 2023).…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Energy Landscape near Glioma Decipher the Role of Glioma Stem Cells within Glioma Hierarchy

Yao,

Su,

Xiong

et al. 2023

Preprint

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Glioma stem cells (GSCs) have been recognized as key players in glioma recurrence and therapeutic resistance, presenting a promising target for novel treatments. However, the limited understanding of the role GSCs play in the glioma hierarchy has drawn controversy and hindered research translation into therapies. Despite significant advances in our understanding of gene regulatory networks, the dynamics of these networks and their implications for glioma remain elusive. This study employs a systemic theoretical perspective to integrate empirical knowledge into a core endogenous network model for glioma, thereby elucidating its energy landscape through network dynamics computation. The model identifies two stable states corresponding to astrocytoma and oligodendroglioma, connected by a transitional state associated with GSCs, indicating the instability of GSCsin vivoand providing negative proof of their role as the cellular origin for glioma. We also obtained various stable states further indicative of glioma’s multicellular origins and uncovered a group of transition states that could potentially induce tumor heterogeneity and therapeutic resistance. This research proposes that the transitional states linking both glioma stable states are central to glioma heterogeneity and therapy resistance, suggesting a combination of apoptosis-inducing and differentiation-promoting therapies as a potential strategy. Our approach holds promise for advancing glioma therapy by providing a new lens through which to view the complex landscape of glioma biology.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Energy Landscape near Glioma Decipher the Role of Glioma Stem Cells within Glioma Hierarchy

Yao,

Su,

Xiong

et al. 2023

Preprint

View full text Add to dashboard Cite

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Integrating frontiers: a holistic, quantum and evolutionary approach to conquering cancer through systems biology and multidisciplinary synergy

Casotti,

Meira,

Zetum

et al. 2024

Front. Oncol.

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Cancer therapy is facing increasingly significant challenges, marked by a wide range of techniques and research efforts centered around somatic mutations, precision oncology, and the vast amount of big data. Despite this abundance of information, the quest to cure cancer often seems more elusive, with the “war on cancer” yet to deliver a definitive victory. A particularly pressing issue is the development of tumor treatment resistance, highlighting the urgent need for innovative approaches. Evolutionary, Quantum Biology and System Biology offer a promising framework for advancing experimental cancer research. By integrating theoretical studies, translational methods, and flexible multidisciplinary clinical research, there’s potential to enhance current treatment strategies and improve outcomes for cancer patients. Establishing stronger links between evolutionary, quantum, entropy and chaos principles and oncology could lead to more effective treatments that leverage an understanding of the tumor’s evolutionary dynamics, paving the way for novel methods to control and mitigate cancer. Achieving these objectives necessitates a commitment to multidisciplinary and interprofessional collaboration at the heart of both research and clinical endeavors in oncology. This entails dismantling silos between disciplines, encouraging open communication and data sharing, and integrating diverse viewpoints and expertise from the outset of research projects. Being receptive to new scientific discoveries and responsive to how patients react to treatments is also crucial. Such strategies are key to keeping the field of oncology at the forefront of effective cancer management, ensuring patients receive the most personalized and effective care. Ultimately, this approach aims to push the boundaries of cancer understanding, treating it as a manageable chronic condition, aiming to extend life expectancy and enhance patient quality of life.

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Dissecting cell fate dynamics in pediatric glioblastoma through the lens of complex systems and cellular cybernetics

Cited by 2 publications

References 215 publications

Energy Landscape near Glioma Decipher the Role of Glioma Stem Cells within Glioma Hierarchy

Energy Landscape near Glioma Decipher the Role of Glioma Stem Cells within Glioma Hierarchy

Integrating frontiers: a holistic, quantum and evolutionary approach to conquering cancer through systems biology and multidisciplinary synergy

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