Literature DB >> 25972342

Quantifying the Landscape for Development and Cancer from a Core Cancer Stem Cell Circuit.

Chunhe Li1, Jin Wang2.   

Abstract

Cancer presents a serious threat to human health. The understanding of the cell fate determination during development and tumor-genesis remains challenging in current cancer biology. It was suggested that cancer stem cell (CSC) may arise from normal stem cells or be transformed from normal differentiated cells. This gives hints on the connection between cancer and development. However, the molecular mechanisms of these cell-type transitions and the CSC formation remain elusive. We quantified landscape, dominant paths, and switching rates between cell types from a core gene regulatory network for cancer and development. Stem cell, CSC, cancer, and normal cell types emerge as basins of attraction on associated landscape. The dominant paths quantify the transition processes among CSC, stem cell, normal cell, and cancer cell attractors. Transition actions of the dominant paths are shown to be closely related to switching rates between cell types, but not always to the barriers in between, because of the presence of the curl flux. During the process of P53 gene activation, landscape topography changes gradually from a CSC attractor to a normal cell attractor. This confirms the roles of P53 of preventing the formation of CSC through suppressing self-renewal and inducing differentiation. By global sensitivity analysis according to landscape topography and action, we identified key regulations determining cell-type switchings and suggested testable predictions. From landscape view, the emergence of the CSCs and the associated switching to other cell types are the results of underlying interactions among cancer and developmental marker genes. This indicates that the cancer and development are intimately connected. This landscape and flux theoretical framework provides a quantitative way to understand the underlying mechanisms of CSC formation and interplay between cancer and development. ©2015 American Association for Cancer Research.

Entities:  

Mesh:

Year:  2015        PMID: 25972342     DOI: 10.1158/0008-5472.CAN-15-0079

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  29 in total

1.  Modeling the response of a tumor-suppressive network to mitogenic and oncogenic signals.

Authors:  Xinyu Tian; Bo Huang; Xiao-Peng Zhang; Mingyang Lu; Feng Liu; José N Onuchic; Wei Wang
Journal:  Proc Natl Acad Sci U S A       Date:  2017-05-08       Impact factor: 11.205

2.  Uncovering the underlying mechanism of cancer tumorigenesis and development under an immune microenvironment from global quantification of the landscape.

Authors:  Li Wenbo; Jin Wang
Journal:  J R Soc Interface       Date:  2017-06       Impact factor: 4.118

3.  Quantifying the landscape and kinetic paths for epithelial-mesenchymal transition from a core circuit.

Authors:  Chunhe Li; Tian Hong; Qing Nie
Journal:  Phys Chem Chem Phys       Date:  2016-06-21       Impact factor: 3.676

4.  Modeling the Genetic Regulation of Cancer Metabolism: Interplay between Glycolysis and Oxidative Phosphorylation.

Authors:  Linglin Yu; Mingyang Lu; Dongya Jia; Jianpeng Ma; Eshel Ben-Jacob; Herbert Levine; Benny Abraham Kaipparettu; José N Onuchic
Journal:  Cancer Res       Date:  2017-02-15       Impact factor: 12.701

Review 5.  Perspectives on the landscape and flux theory for describing emergent behaviors of the biological systems.

Authors:  Jin Wang
Journal:  J Biol Phys       Date:  2021-11-25       Impact factor: 1.365

6.  Landscape and kinetic path quantify critical transitions in epithelial-mesenchymal transition.

Authors:  Jintong Lang; Qing Nie; Chunhe Li
Journal:  Biophys J       Date:  2021-09-02       Impact factor: 3.699

7.  A physical mechanism of cancer heterogeneity.

Authors:  Cong Chen; Jin Wang
Journal:  Sci Rep       Date:  2016-02-08       Impact factor: 4.379

8.  A Physical Mechanism and Global Quantification of Breast Cancer.

Authors:  Chong Yu; Jin Wang
Journal:  PLoS One       Date:  2016-07-13       Impact factor: 3.240

Review 9.  Phenotypic Plasticity and Cell Fate Decisions in Cancer: Insights from Dynamical Systems Theory.

Authors:  Dongya Jia; Mohit Kumar Jolly; Prakash Kulkarni; Herbert Levine
Journal:  Cancers (Basel)       Date:  2017-06-22       Impact factor: 6.639

10.  Distinguishing mechanisms underlying EMT tristability.

Authors:  Dongya Jia; Mohit Kumar Jolly; Satyendra C Tripathi; Petra Den Hollander; Bin Huang; Mingyang Lu; Muge Celiktas; Esmeralda Ramirez-Peña; Eshel Ben-Jacob; José N Onuchic; Samir M Hanash; Sendurai A Mani; Herbert Levine
Journal:  Cancer Converg       Date:  2017-11-01
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.