A unified model of the hierarchical and stochastic theories of gastric cancer

Song, Yanjing; Wang, Yao; Tong, Chuan; Xi, Hu; Zhao, Xudong; Wang, Yi; Chen, Lin

doi:10.1038/bjc.2017.54

Cited by 34 publications

(24 citation statements)

References 217 publications

(207 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The cancer problem has been considered from many different modeling perspectives ranging from the standard mechanistic models [21][22][23][24][25], to applications of population dynamics [26][27][28][29], evolutionary game theory [30][31][32], and models of swarm dynamics [33,34]. However, these methods generally only consider one or two levels of organization in describing the dynamics of the systems they consider, and almost exclusively view the lowest level as giving rise to the higher levels.…”

Section: Information In Biological Systemsmentioning

confidence: 99%

Cancer as a disorder of patterning information: computational and biophysical perspectives on the cancer problem

Moore

Walker

Levin

2017

Converg. Sci. Phys. Oncol.

View full text Add to dashboard Cite

TOPICAL REVIEWCancer as a disorder of patterning information: computational and biophysical perspectives on the cancer problem IntroductionCancer is well-recognized not only as an extremely pernicious medical problem, but also as a group of phenomena deeply connected to the fundamental questions of evolution, multicellularity, pattern (disregulation, and the interplay between the genome and the environment [1,2]. Two fundamental paradigms currently divide the field. One is that cancer results from disorders of genetics: cancer cells are fundamentally broken due to genomic mutation or instability, and their clonal progeny form tumors and metastases. This view is sometimes called the SMT, somatic mutation theory [3][4][5]. A competing perspective is that of cancer as a circuit disease-a disorder of the complex biophysical, transcriptional, and epigenetic dynamics that regulate cellular state and the ability of cells to cooperate in vivo [6][7][8]. Under this view (sometimes called the tissue organization field theory or TOFT, [9,10]), cancer is akin to a traffic jam [11]-the problem is not a permanent discrete alteration within a founder cell and all of its clonal descendants, but an undesirable stable attractor in the complex network of controls that normally guides anatomical homeostasis [12].The relative merits of the two models have been discussed extensively [10,[13][14][15][16][17] AbstractThe current paradigm views cancer as arising clonally from a degradation of genetic information in single cells. A complementary perspective, originating at the dawn of modern developmental biology, is that cancer is the result of a system disorder of algorithms that normally orchestrate individual cell activities toward specific anatomical structures and away from tumorigenesis. A view of cancer as a disease of geometry focuses on the pathways that allow cells to cooperate to build and maintain large-scale anatomical patterning. Cancer may result when cells stop maintaining higher-order structures and reduce the boundary of their computational selves to a single-cell level, reverting to a unicellular lifestyle in which the rest of the organism is merely part of the environment at the expense of which all living things survive. While this view has been widely discussed, little progress has been made in providing a quantitative, mechanistic framework within which this perspective's specific and unique implications for treatment strategies can be tested and biomedically exploited. Here, we highlight two recent areas of progress which may facilitate much-needed progress on the cancer problem. First, we review the roles that endogenous bioelectrical networks, operating across many tissues in vivo, play as a medium of information processing in tumor suppression, progression, and reprogramming. Second, we provide a primer to the development of computational theory and tools for quantifying the information and causal control structures in cancer and other complex biological systems. Rigorous mathematical formalisms now exist to...

show abstract

Section: Information In Biological Systemsmentioning

confidence: 99%

Cancer as a disorder of patterning information: computational and biophysical perspectives on the cancer problem

Moore

Walker

Levin

2017

Converg. Sci. Phys. Oncol.

View full text Add to dashboard Cite

show abstract

“…In addition to transcription factors (TFs) (Finley et al, 2018;Niwa, 2018) and cell surface markers (Sahlberg et al, 2014), miRNAs are increasingly recognized as potential stem cell markers (Lou et al, 2018;Song et al, 2017). The miRNA expression, as with other genes, is under the control of TFs and their genes may be transcribed by RNA polymerase II or III.…”

Section: Micrornas and Their Role In Stemness And Developmentmentioning

confidence: 99%

Transgenic Mice and Pluripotent Stem Cells Express EGFP under the Control of miR-302 Promoter

Rahimi

Parsa

Nikzaban

et al. 2018

Preprint

View full text Add to dashboard Cite

MicroRNAs are a group of short non-coding RNAs that undertake various roles in different cell signaling pathways and developmental stages. They regulate gene expression levels at the post-transcriptional stage, which results in cleavage of mRNAs or repression of their translation. Some miRNAs, including the miR-302 cluster, are critical regulators for the stemness state of embryonic stem cells and cell fate patterning. The miR-302 cluster is located in the intron of a non-coding gene that has no other reported function, other than hosting miR-302, and grant a complex expression regulation through upstream its regulatory sequences. To date, analysis of the miR-302 expression pattern in a transgenic mouse model has not been reported. In this study, we generated transgenic mice that expressed EGFP driven by miR-302 upstream regulatory sequences that harbored the core promoter of its host gene. We examined the activity of the miR-302 promotor in somatic tissues of transgenic mice, transgenic blastocysts, and embryonic stem cells derived from transgenic blastocysts.Our results showed that miR-302 highly expressed in both blastocysts and the first passages of transgenic embryonic stem cells, and has low expression in the somatic tissues of transgenic mice. It could be concluded that different temporal and spatial gene expression patterns occur during the embryonic and adult stages in mice.

show abstract

“…Song et al . recently proposed a unified model for GC, in which primitive GCSCs continually optimize their genome, improve the pattern of gene expression, and generate various subclones to adapt to the changing tumor microenvironment.…”

Section: Gastric Cancer Stem Cellsmentioning

confidence: 99%

“…Song et al 28 Another important factor is the tumor microenvironment. Recently, the role of murine bone marrow-derived fibroblasts (mBMFs) was described as one of the microenvironment cues promoting CSC properties.…”

Section: Unified Model For Tumor Heterogeneity In Gastric Cancermentioning

confidence: 99%

Gastric cancer: Basic aspects

et al. 2017

View full text Add to dashboard Cite

Gastric cancer is one of the most incident and deadliest malignancies in the world. Gastric cancer is a heterogeneous disease and the end point of a long and multistep process, which results from the stepwise accumulation of numerous (epi)genetic alterations, leading to dysregulation of oncogenic and tumor suppressor pathways. Gastric cancer stem cells have emerged as fundamental players in cancer development and as contributors to gastric cancer heterogeneity. For this special issue, we will report last year's update on the gastric cancer molecular classification, and in particular address the gastric cancer groups who could benefit from immune checkpoint therapy. We will also review the latest advances on gastric cancer stem cells, their properties as gastric cancer markers and therapeutic targets, and associated signaling pathways. The understanding of the molecular basis underlying gastric cancer heterogeneity and of the role played by gastric cancer stem cells in cancer development and heterogeneity is of major significance, not only for identifying novel targets for cancer prevention and treatment, but also for clinical management and patient stratification for targeted therapies.

show abstract

A unified model of the hierarchical and stochastic theories of gastric cancer

Cited by 34 publications

References 217 publications

Cancer as a disorder of patterning information: computational and biophysical perspectives on the cancer problem

Cancer as a disorder of patterning information: computational and biophysical perspectives on the cancer problem

Transgenic Mice and Pluripotent Stem Cells Express EGFP under the Control of miR-302 Promoter

Gastric cancer: Basic aspects

Contact Info

Product

Resources

About