Literature DB >> 30396500

Moving the systemic evolutionary approach to cancer forward: Therapeutic implications.

Antonio Mazzocca1, Giovanni Ferraro2, Giovanni Misciagna3, Stefano Fais4.   

Abstract

We have previously presented a new Systemic Evolutionary Theory of Cancer (SETOC) based on the failure of proper endosymbiosis in eukaryotic cells. Here, we propose that the progressive uncoupling of two endosymbiotic subsystems (information and energy) inside the cell, as a consequence of long-term injuries, gives rise to alterations (i) in tissue interactions and (ii) in cell organization. In the first case, we argue that the impairment of both the coherent state and the synergy between intercellular communications underpins the onset of tissue dysplasia, that usually evolves towards cancer development. In the second case, we suggest that the rupture of endosymbiosis drives a sort of cell regression towards a protist-like entity represented by the concept of "de-emergence" postulated in our systemic evolutionary approach to carcinogenesis. This conceptual association of the cancer cell with a protist-like organism could support the development of novel cancer therapeutic approaches. To this end, we propose a paradigm shift in cancer pharmacology since: i) our knowledge of cancer pathophysiology as a complex system is insufficient, despite a vast knowledge of molecular mechanisms underlying cancer; ii) current cancer pharmacology deals only with microvariables (e.g. gene or protein targets), which do not account for the integrated pathophysiology of cancer, rather than with macrovariables (e.g. pH, membrane potential, electromagnetic fields, cell communications and so on) and mesovariables (between micro and macro), such as the interaction between various cellular components including cellular organelles. This paradigm shift should allow cancer pharmacology to move forward from molecular treatments (focusing on single targets) to modular treatments that consider cancer-related processes (i.e. inflammation, coagulation, etc.) or even to a sort of ecosystemic treatment addressing the whole functioning of the "cancer ecosystem". Examples of ecosystems treatment may be natural plant derivatives that act synergistically or pulsed electromagnetic fields which can act on particular biological processes in cancer cells. In addition, we need different working theoretical models on which to base new anticancer pharmacological approaches. Finally, we examine what value our systemic evolutionary approach could add to cancer treatments, in particular in liver cancer as a paradigm for developing potential applications.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Biomimicry; Cancer pathogenesis; Cancer theories; Coherent state; De-emergence; Downward causation; Endosymbiosis; Hepatocellular carcinoma; Paradigm shift; Protists

Mesh:

Substances:

Year:  2018        PMID: 30396500     DOI: 10.1016/j.mehy.2018.09.033

Source DB:  PubMed          Journal:  Med Hypotheses        ISSN: 0306-9877            Impact factor:   1.538


  5 in total

Review 1.  Emerging roles and therapeutic value of exosomes in cancer metastasis.

Authors:  Miaowei Wu; Guosheng Wang; Weilei Hu; Yihan Yao; Xiao-Fang Yu
Journal:  Mol Cancer       Date:  2019-03-30       Impact factor: 27.401

2.  The Promising Connection Between Data Science and Evolutionary Theory in Oncology.

Authors:  Jonathan R Goodman; Hutan Ashrafian
Journal:  Front Oncol       Date:  2020-01-20       Impact factor: 6.244

Review 3.  Mutation or not, what directly establishes a neoplastic state, namely cellular immortality and autonomy, still remains unknown and should be prioritized in our research.

Authors:  Shengming Zhu; Jiangang Wang; Lucas Zellmer; Ningzhi Xu; Mei Liu; Yun Hu; Hong Ma; Fei Deng; Wenxiu Yang; Dezhong Joshua Liao
Journal:  J Cancer       Date:  2022-07-04       Impact factor: 4.478

4.  The perplexity of targeting genetic alterations in hepatocellular carcinoma.

Authors:  Michele Barone; Alfredo Di Leo; Carlo Sabbà; Antonio Mazzocca
Journal:  Med Oncol       Date:  2020-07-22       Impact factor: 3.064

Review 5.  The Systemic-Evolutionary Theory of the Origin of Cancer (SETOC): A New Interpretative Model of Cancer as a Complex Biological System.

Authors:  Antonio Mazzocca
Journal:  Int J Mol Sci       Date:  2019-10-02       Impact factor: 5.923

  5 in total

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