Literature DB >> 28484034

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

Xinyu Tian1,2,3, Bo Huang1,2,3, Xiao-Peng Zhang4, Mingyang Lu5, Feng Liu6,2,3, José N Onuchic7,8,9,10, Wei Wang6,2,3.   

Abstract

Intrinsic tumor-suppressive mechanisms protect normal cells against aberrant proliferation. Although cellular signaling pathways engaged in tumor repression have been largely identified, how they are orchestrated to fulfill their function still remains elusive. Here, we built a tumor-suppressive network model composed of three modules responsible for the regulation of cell proliferation, activation of p53, and induction of apoptosis. Numerical simulations show a rich repertoire of network dynamics when normal cells are subject to serum stimulation and adenovirus E1A overexpression. We showed that oncogenic signaling induces ARF and that ARF further promotes p53 activation to inhibit proliferation. Mitogenic signaling activates E2F activators and promotes Akt activation. p53 and E2F1 cooperate to induce apoptosis, whereas Akt phosphorylates p21 to repress caspase activation. These prosurvival and proapoptotic signals compete to dictate the cell fate of proliferation, cell-cycle arrest, or apoptosis. The cellular outcome is also impacted by the kinetic mode (ultrasensitivity or bistability) of p53. When cells are exposed to serum deprivation and recovery under fixed E1A, the shortest starvation time required for apoptosis induction depends on the terminal serum concentration, which was interpreted in terms of the dynamics of caspase-3 activation and cytochrome c release. We discovered that caspase-3 can be maintained active at high serum concentrations and that E1A overexpression sensitizes serum-starved cells to apoptosis. This work elucidates the roles of tumor repressors and prosurvival factors in tumor repression based on a dynamic network analysis and provides a framework for quantitatively exploring tumor-suppressive mechanisms.

Entities:  

Keywords:  cell-fate determination; oncogene activation; signal transduction

Mesh:

Substances:

Year:  2017        PMID: 28484034      PMCID: PMC5448174          DOI: 10.1073/pnas.1702412114

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  47 in total

1.  Phosphoinositide 3-OH kinase (PI3K) and PKB/Akt delay the onset of p53-mediated, transcriptionally dependent apoptosis.

Authors:  P Sabbatini; F McCormick
Journal:  J Biol Chem       Date:  1999-08-20       Impact factor: 5.157

2.  Direct coupling of the cell cycle and cell death machinery by E2F.

Authors:  Zaher Nahle; Julia Polakoff; Ramana V Davuluri; Mila E McCurrach; Matthew D Jacobson; Masashi Narita; Michael Q Zhang; Yuri Lazebnik; Dafna Bar-Sagi; Scott W Lowe
Journal:  Nat Cell Biol       Date:  2002-11       Impact factor: 28.824

3.  Two-phase dynamics of p53 in the DNA damage response.

Authors:  Xiao-Peng Zhang; Feng Liu; Wei Wang
Journal:  Proc Natl Acad Sci U S A       Date:  2011-05-16       Impact factor: 11.205

4.  Essential role for p53-mediated transcription in E1A-induced apoptosis.

Authors:  P Sabbatini; J Lin; A J Levine; E White
Journal:  Genes Dev       Date:  1995-09-01       Impact factor: 11.361

5.  Caspase-3-dependent cleavage of Bcl-2 promotes release of cytochrome c.

Authors:  D G Kirsch; A Doseff; B N Chau; D S Lim; N C de Souza-Pinto; R Hansford; M B Kastan; Y A Lazebnik; J M Hardwick
Journal:  J Biol Chem       Date:  1999-07-23       Impact factor: 5.157

6.  Regulation of PTEN transcription by p53.

Authors:  V Stambolic; D MacPherson; D Sas; Y Lin; B Snow; Y Jang; S Benchimol; T W Mak
Journal:  Mol Cell       Date:  2001-08       Impact factor: 17.970

Review 7.  Mechanisms of cytochrome c release from mitochondria.

Authors:  C Garrido; L Galluzzi; M Brunet; P E Puig; C Didelot; G Kroemer
Journal:  Cell Death Differ       Date:  2006-05-05       Impact factor: 15.828

8.  Phosphorylation of HDM2 by Akt.

Authors:  Margaret Ashcroft; Robert L Ludwig; Douglas B Woods; Terry D Copeland; H Oliver Weber; Elizabeth J MacRae; Karen H Vousden
Journal:  Oncogene       Date:  2002-03-27       Impact factor: 9.867

9.  The alternative product from the human CDKN2A locus, p14(ARF), participates in a regulatory feedback loop with p53 and MDM2.

Authors:  F J Stott; S Bates; M C James; B B McConnell; M Starborg; S Brookes; I Palmero; K Ryan; E Hara; K H Vousden; G Peters
Journal:  EMBO J       Date:  1998-09-01       Impact factor: 11.598

10.  Alternative reading frames of the INK4a tumor suppressor gene encode two unrelated proteins capable of inducing cell cycle arrest.

Authors:  D E Quelle; F Zindy; R A Ashmun; C J Sherr
Journal:  Cell       Date:  1995-12-15       Impact factor: 41.582

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  9 in total

1.  A network modeling approach to elucidate drug resistance mechanisms and predict combinatorial drug treatments in breast cancer.

Authors:  Jorge Gómez Tejeda Zañudo; Maurizio Scaltriti; Réka Albert
Journal:  Cancer Converg       Date:  2017-12-29

2.  Prolonging Gastrointestinal-Stromal-Tumor-free life, an optimal suggestion of imatinib intervention ahead of operation.

Authors:  Lin-Hai Yan; Zhi-Ning Chen; Chun-Jun Li; Jia Chen; Yu-Zhou Qin; Jian-Si Chen; Wei-Zhong Tang
Journal:  J Cancer       Date:  2018-10-05       Impact factor: 4.207

3.  Coordination of miR-192 and miR-22 in p53-Mediated Cell Fate Decision.

Authors:  Cheng-Yuan Sun; Xiao-Peng Zhang; Wei Wang
Journal:  Int J Mol Sci       Date:  2019-09-26       Impact factor: 5.923

4.  Systemic effects of starved fibroblast culture supernatant on immunosuppressed rats treated with cancer stem cells (LA7).

Authors:  Roghayeh Pourbagher; Farideh Feizi; Haleh Akhavan Niaki; Davood Sabour; Ebrahim Zabihi; Hossein Ghorbani; Sahar Gooran; Zeinab Abedian; Fatemeh Majidi; Amrollah Mostafazadeh
Journal:  Caspian J Intern Med       Date:  2020

Review 5.  Mathematical Modeling of p53 Pathways.

Authors:  Eunjung Kim; Jae-Young Kim; Joo-Yong Lee
Journal:  Int J Mol Sci       Date:  2019-10-18       Impact factor: 5.923

6.  Downregulation of Stemness Genes and Induction of Necrosis in Rat LA7 Cancer Stem Cells Induced Tumors Treated with Starved Fibroblasts Culture Supernatant.

Authors:  Roghayeh Pourbagher; Hossein Ghorbani; Haleh Akhavan-Niaki; Seyed Gholam Ali Jorsaraei; Sadegh Fattahi; Sahar Ghooran; Zeinab Abedian; Masoumeh Ghasemi; Fatemeh Saeedi; Negar Jafari; Behnam Kalali; Amrollah Mostafazadeh
Journal:  Rep Biochem Mol Biol       Date:  2021-04

7.  Understanding non-linear effects from Hill-type dynamics with application to decoding of p53 signaling.

Authors:  Xiaomin Shi; Jeffrey R Reimers
Journal:  Sci Rep       Date:  2018-02-01       Impact factor: 4.379

8.  Quantifying the optimal strategy of population control of quorum sensing network in Escherichia coli.

Authors:  Xiang Li; Jun Jin; Xiaocui Zhang; Fei Xu; Jinjin Zhong; Zhiyong Yin; Hong Qi; Zhaoshou Wang; Jianwei Shuai
Journal:  NPJ Syst Biol Appl       Date:  2021-09-02

9.  Gallic Acid Hindered Lung Cancer Progression by Inducing Cell Cycle Arrest and Apoptosis in A549 Lung Cancer Cells via PI3K/Akt Pathway.

Authors:  Eul-Bee Ko; Yin-Gi Jang; Cho-Won Kim; Ryeo-Eun Go; Hong Kyu Lee; Kyung-Chul Choi
Journal:  Biomol Ther (Seoul)       Date:  2022-03-01       Impact factor: 4.634

  9 in total

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