ReviewSeminars in cancer biology2011
Systems biology beyond networks: generating order from disorder through self-organization.
Review in Seminars in cancer biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
24 citing papers in PubMed.
- Balance Between Order and Disorder: Quantum-Epigenetic Pathways for the Emergence and Continuous Evolution of Life.Acta biotheoretica · 2026Review
- The "Culture" of Organs: A Holistic Theory on the Origins of the Cancer Tissue Environment.Life (Basel, Switzerland) · 2024Article
- Informing the Cannabis Conjecture: From Life's Beginnings to Mitochondria, Membranes and the Electrome-A Review.International journal of molecular sciences · 2023Review
- Is Cancer Reversible? Rethinking Carcinogenesis Models-A New Epistemological Tool.Biomolecules · 2023Review
- Assessing complexity and dynamics in epidemics: geographical barriers and facilitators of foot-and-mouth disease dissemination.Frontiers in veterinary science · 2023Article
- Biologically grounded scientific methods: The challenges ahead for combating epidemics.Methods (San Diego, Calif.) · 2021Review
- Review
- Assessing the Dynamics and Complexity of Disease Pathogenicity Using 4-Dimensional Immunological Data.Frontiers in immunology · 2019Article
- Systems Medicine Disease: Disease Classification and Scalability Beyond Networks and Boundary Conditions.Frontiers in bioengineering and biotechnology · 2018Article
- Article
- The Significance of an Enhanced Concept of the Organism for Medicine.Evidence-based complementary and alternative medicine : eCAM · 2016Review
- Origin of Cancer: An Information, Energy, and Matter Disease.Frontiers in cell and developmental biology · 2016Article
- Deep sea as a source of novel-anticancer drugs: update on discovery and preclinical/clinical evaluation in a systems medicine perspective.EXCLI journal · 2015Review
- Competing views on cancer.Journal of biosciences · 2014Article
- Tumor and the microenvironment: a chance to reframe the paradigm of carcinogenesis?BioMed research international · 2014Review
- A self-organization framework for symmetry breaking in the mammalian embryo.Nature reviews. Molecular cell biology · 2013Review
- Paradoxes in Carcinogenesis: There Is Light at the End of That Tunnel!Disruptive science and technology · 2013Article
- Review
- Brain basis of self: self-organization and lessons from dreaming.Frontiers in psychology · 2013Article
- Is systems biology a promising approach to resolve controversies in cancer research?Cancer cell international · 2012Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Erwin Schrödinger pointed out in his 1944 book "What is Life" that one defining attribute of biological systems seems to be their tendency to generate order from disorder defying the second law of thermodynamics. Almost parallel to his findings, the science of complex systems was founded based on observations on physical and chemical systems showing that inanimate matter can exhibit complex structures although their interacting parts follow simple rules. This is explained by a process known as self-organization and it is now widely accepted that multi-cellular biological organisms are themselves self-organizing complex systems in which the relations among their parts are dynamic, contextual and interdependent. In order to fully understand such systems, we are required to computationally and mathematically model their interactions as promulgated in systems biology. The preponderance of network models in the practice of systems biology inspired by a reductionist, bottom-up view, seems to neglect, however, the importance of bidirectional interactions across spatial scales and domains. This approach introduces a shortcoming that may hinder research on emergent phenomena such as those of tissue morphogenesis and related diseases, such as cancer. Another hindrance of current modeling attempts is that those systems operate in a parameter space that seems far removed from biological reality. This misperception calls for more tightly coupled mathematical and computational models to biological experiments by creating and designing biological model systems that are accessible to a wide range of experimental manipulations. In this way, a comprehensive understanding of fundamental processes in normal development or of aberrations, like cancer, will be generated.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.