NSCLC: Exploring the Robust States of the Endogenous Molecular-cellular Network
Authors: 
Qi Chang, Mengyao Wang, Xiao LiuAuthors Info & Claims
Pages 163 - 169
Abstract
Lung cancer is a leading cause of death worldwide, with non-small cell lung cancer (NSCLC) being the dominant subtype of the disease. Many biomedicine studies fail to explain the apparent inconsistencies between the genes and the phenotypes. The spontaneous improvement of cancer has not yet been explained by a reasonable theory. A hypothesized theory from the perspective of systems biology has been proposed, in which cancer is considered to be a result of interactions among multiple conserved modules and factors in an endogenous molecular-cellular network. In this work, we conduct a model study in which NSCLC is described by a set of nonlinear dynamical equations. We show that the network can reproduce two heterogeneous subtypes of NSCLC. The topological landscape obtained from the modeling can help to resolve the above inconsistencies and help to prevent and treat NSCLC.
References
[1]
Testa U, Castelli G, Pelosi E. 2018 Lung Cancers: Molecular Characterization, Clonal Heterogeneity and Evolution, and Cancer Stem Cells. Cancers (Basel). 2018;10(8):248. Published 2018 Jul 27. https://doi.org/10.3390/cancers10080248
[2]
Fujii T, Dracheva T, Player A, 2002 A preliminary transcriptome map of non-small cell lung cancer. Cancer Res. 2002;62(12):3340-3346.
[3]
Yuan R, Zhang S, Yu J, 2017 Beyond cancer genes: colorectal cancer as robust intrinsic states formed by molecular interactions. Open Biol. 2017;7(11):170169. https://doi.org/10.1098/rsob.170169
[4]
Li S, Zhu X, Liu B, Wang G, Ao P. 2015 Endogenous molecular network reveals two mechanisms of heterogeneity within gastric cancer. Oncotarget. 2015;6(15):13607-13627. https://doi.org/10.18632/oncotarget.3633
[5]
Wang J, Yuan R, Zhu X, Ao P. 2020 Adaptive Landscape Shaped by Core Endogenous Network Coordinates Complex Early Progenitor Fate Commitments in Embryonic Pancreas. Sci Rep. 2020;10(1):1112. Published 2020 Jan 24. https://doi.org/10.1038/s41598-020-57903-0
[6]
Wang G, Zhu X, Gu J, Ao P. 2014 Quantitative implementation of the endogenous molecular-cellular network hypothesis in hepatocellular carcinoma. Interface Focus. 2014;4(3):20130064. https://doi.org/10.1098/rsfs.2013.0064
[7]
Sarode P, Mansouri S, Karger A, 2019 Epithelial cell plasticity defines heterogeneity in lung cancer. Cell Signal. 2020;65:109463. https://doi.org/10.1016/j.cellsig.2019.109463
[8]
Hou S, Zhou S, Qin Z, 2017 Evidence, Mechanism, and Clinical Relevance of the Transdifferentiation from Lung Adenocarcinoma to Squamous Cell Carcinoma. Am J Pathol. 2017;187(5):954-962. https://doi.org/10.1016/j.ajpath.2017.01.009
[9]
Morrisey EE, Hogan BL. 2009 Preparing for the first breath: genetic and cellular mechanisms in lung development. Dev Cell. 2010;18(1):8-23. https://doi.org/10.1016/j.devcel.2009.12.010
[10]
Balázsi G, van Oudenaarden A, Collins JJ. 2011 Cellular decision making and biological noise: from microbes to mammals. Cell. 2011;144(6):910-925. https://doi.org/10.1016/j.cell.2011.01.030
[11]
Wright S. 1932 The roles of mutation, inbreeding, crossbreeding and selection in evolution. In Proc. 6th Int. Congress on Genetics, Ithaca, NY, August 1932, pp. 356–366. Menasha, WI: Brooklyn Botanic Garden.
[12]
Bar-Yam Y, Harmon D, de Bivort B. Systems biology. 2009 Attractors and democratic dynamics. Science. 2009;323(5917):1016-1017. https://doi.org/10.1126/science.1163225
[13]
Ao P, Galas D, Hood L, Zhu X. 2008 Cancer as robust intrinsic state of endogenous molecular-cellular network shaped by evolution. Med Hypotheses. 2008;70(3):678-684. https://doi.org/10.1016/j.mehy.2007.03.043
[14]
Hanahan D, Weinberg RA. 2011 Hallmarks of cancer: the next generation. Cell. 2011;144(5):646-674. https://doi.org/10.1016/j.cell.2011.02.013
[15]
Han X, Li F, Fang Z, 2014 Transdifferentiation of lung adenocarcinoma in mice with Lkb1 deficiency to squamous cell carcinoma. Nat Commun. 2014;5:3261. https://doi.org/10.1038/ncomms4261
[16]
Onder TT, Gupta PB, Mani SA, Yang J, Lander ES, Weinberg RA. 2008 Loss of E-cadherin promotes metastasis via multiple downstream transcriptional pathways. Cancer Res. 2008;68(10):3645-3654. https://doi.org/10.1158/0008-5472.CAN-07-2938
[17]
Bruner HC, Derksen PWB. 2018 Loss of E-Cadherin-Dependent Cell-Cell Adhesion and the Development and Progression of Cancer. Cold Spring Harb Perspect Biol. 2018;10(3):a029330. Published 2018 Mar 1. https://doi.org/10.1101/cshperspect.a029330
[18]
Zhu, X. M., Yin, L., Hood, L., & Ao, P. 2004 Robustness, stability and efficiency of phage lambda genetic switch: dynamical structure analysis. Journal of bioinformatics and computational biology,2(4), 785–817. https://doi.org/10.1142/s0219720004000946
[19]
Nurse P. 2000. A long twentieth century of the cell cycle and beyond. Cell, 100(1), 71–78. https://doi.org/10.1016/s0092-8674(00)81684-0
Recommendations
Effect of SBRT plus immunotherapy on immune status and survival quality of NSCLC patients: A study of combined radiotherapy and immunotherapy
BACKGROUND:non-small cell lung cancer (NSCLC) accounts for more than 80% of all lung cancer populations. Stereotactic radiotherapy (SBRT) is mainly suitable for early NSCLC patients who are not suitable for surgery or refuse surgery.
OBJECTIVE:To ...
Enlightening the path to NSCLC biomarkers: Utilizing the power of XAI-guided deep learning
Abstract Background and ObjectiveThe early diagnosis of Non-small cell lung cancer (NSCLC) is of prime importance to improve the patient's survivability and quality of life. Being a heterogeneous disease at the molecular and cellular level, the ...
Graphical abstractHighlights- Proposed an XAI-guided deep learning framework to unveil seven NSCLC biomarkers.
- Achieved an improved accuracy of 91.53% in NSCLC subtype classification.
- Four of the seven discovered biomarkers are found to be potentially ...
The LCNetWork: An electronic representation of the mRNA-lncRNA-miRNA regulatory network underlying mechanisms of non-small cell lung cancer in humans, and its explorative analysis
AbstractAdvancement in genomics technologies have made it possible to identify the genes and their interaction/regulation involved in NSCLC, but the interaction information are scattered over the literature. Thus, there is a need of assembling ...
Graphical AbstractDisplay Omitted
Highlights- Integrated all the experimentally reported knowledge on the NSCLC mechanisms into a single conceptual platform.
Comments
Please enable JavaScript to view thecomments powered by Disqus.Information & Contributors
Information
Published In
May 2021
293 pages
ISBN:9781450389655
DOI:10.1145/3473258
Copyright © 2021 ACM.
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 11 December 2021
Check for updates
Author Tags
Qualifiers
- Research-article
- Research
- Refereed limited
Conference
ICBBT '21
ICBBT '21: 2021 13th International Conference on Bioinformatics and Biomedical Technology
May 21 - 23, 2021
Xi'an, China
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 21Total Downloads
- Downloads (Last 12 months)3
- Downloads (Last 6 weeks)1
Reflects downloads up to 28 Jan 2025
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign inFull Access
View options
View or Download as a PDF file.
PDFeReader
View online with eReader.
eReaderHTML Format
View this article in HTML Format.
HTML Format