Oncogene-tumor suppressor gene feedback interactions and their control
We propose the hypothesis that for a particular type of cancer there exists a key pair of oncogene (OCG) and tumor suppressor gene (TSG) that is normally involved in strong stabilizing negative feedback loops (nFBLs) of molecular interactions, and it is these interactions that are sufficiently pertu...
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| Format: | Article |
| Language: | English |
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AIMS Press
2015-07-01
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| Series: | Mathematical Biosciences and Engineering |
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| Online Access: | https://www.aimspress.com/article/doi/10.3934/mbe.2015.12.1277 |
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| author | Baltazar D. Aguda Ricardo C.H. del Rosario Michael W.Y. Chan |
| author_facet | Baltazar D. Aguda Ricardo C.H. del Rosario Michael W.Y. Chan |
| author_sort | Baltazar D. Aguda |
| collection | DOAJ |
| description | We propose the hypothesis that for a particular type of cancer there exists a key pair of oncogene (OCG) and tumor suppressor gene (TSG) that is normally involved in strong stabilizing negative feedback loops (nFBLs) of molecular interactions, and it is these interactions that are sufficiently perturbed during cancer development. These nFBLs are thought to regulate oncogenic positive feedback loops (pFBLs) that are often required for the normal cellular functions of oncogenes. Examples given in this paper are the pairs of MYC and p53, KRAS and INK4A, and E2F1 and miR-17-92. We propose dynamical models of the aforementioned OCG-TSG interactions and derive stability conditions of the steady states in terms of strengths of cycles in the qualitative interaction network. Although these conditions are restricted to predictions of local stability, their simple linear expressions in terms of competing nFBLs and pFBLs make them intuitive and practical guides for experimentalists aiming to discover drug targets and stabilize cancer networks. |
| format | Article |
| id | doaj-art-c1499206c593401aa731ba5952d0391a |
| institution | Kabale University |
| issn | 1551-0018 |
| language | English |
| publishDate | 2015-07-01 |
| publisher | AIMS Press |
| record_format | Article |
| series | Mathematical Biosciences and Engineering |
| spelling | doaj-art-c1499206c593401aa731ba5952d0391a2025-01-24T02:33:57ZengAIMS PressMathematical Biosciences and Engineering1551-00182015-07-011261277128810.3934/mbe.2015.12.1277Oncogene-tumor suppressor gene feedback interactions and their controlBaltazar D. Aguda0Ricardo C.H. del Rosario1Michael W.Y. Chan2DiseasePathways LLC, Bethesda, Maryland, 20814Computational and Systems Biology, Genome Institute of Singapore, 60 Biopolis St., #02-01 Genome, 138672Department of Life Science & Institute of Molecular Biology, National Chung Cheng University, Min-Hsiung, China-YiWe propose the hypothesis that for a particular type of cancer there exists a key pair of oncogene (OCG) and tumor suppressor gene (TSG) that is normally involved in strong stabilizing negative feedback loops (nFBLs) of molecular interactions, and it is these interactions that are sufficiently perturbed during cancer development. These nFBLs are thought to regulate oncogenic positive feedback loops (pFBLs) that are often required for the normal cellular functions of oncogenes. Examples given in this paper are the pairs of MYC and p53, KRAS and INK4A, and E2F1 and miR-17-92. We propose dynamical models of the aforementioned OCG-TSG interactions and derive stability conditions of the steady states in terms of strengths of cycles in the qualitative interaction network. Although these conditions are restricted to predictions of local stability, their simple linear expressions in terms of competing nFBLs and pFBLs make them intuitive and practical guides for experimentalists aiming to discover drug targets and stabilize cancer networks.https://www.aimspress.com/article/doi/10.3934/mbe.2015.12.1277p53krasmir-17-92drug targets.ink4afeedback loopsnetwork stabilitye2f1cycle strengthmyconcogene-tumor suppressor gene pairs |
| spellingShingle | Baltazar D. Aguda Ricardo C.H. del Rosario Michael W.Y. Chan Oncogene-tumor suppressor gene feedback interactions and their control Mathematical Biosciences and Engineering p53 kras mir-17-92 drug targets. ink4a feedback loops network stability e2f1 cycle strength myc oncogene-tumor suppressor gene pairs |
| title | Oncogene-tumor suppressor gene feedback interactions and their control |
| title_full | Oncogene-tumor suppressor gene feedback interactions and their control |
| title_fullStr | Oncogene-tumor suppressor gene feedback interactions and their control |
| title_full_unstemmed | Oncogene-tumor suppressor gene feedback interactions and their control |
| title_short | Oncogene-tumor suppressor gene feedback interactions and their control |
| title_sort | oncogene tumor suppressor gene feedback interactions and their control |
| topic | p53 kras mir-17-92 drug targets. ink4a feedback loops network stability e2f1 cycle strength myc oncogene-tumor suppressor gene pairs |
| url | https://www.aimspress.com/article/doi/10.3934/mbe.2015.12.1277 |
| work_keys_str_mv | AT baltazardaguda oncogenetumorsuppressorgenefeedbackinteractionsandtheircontrol AT ricardochdelrosario oncogenetumorsuppressorgenefeedbackinteractionsandtheircontrol AT michaelwychan oncogenetumorsuppressorgenefeedbackinteractionsandtheircontrol |