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Nucleotide metabolism, oncogene-induced senescence and cancer
Open accessAbstract
Senescence is defined as a stable cell growth arrest. Oncogene-induced senescence (OIS) occurs when an activated oncogene is expressed in a normal cell. OIS acts as a bona fide tumor suppressor mechanism by driving stable growth arrest of cancer progenitor cells harboring the initial oncogenic hit. OIS is often characterized by aberrant DNA replication and the associated DNA damage response. Nucleotides, in particular deoxyribonucleotide triphosphates (dNTPs), are necessary for both DNA replication and repair. Imbalanced dNTP pools play a role in a number of human diseases, including during the early stages of cancer development. This review will highlight what is currently known about the role of decreased nucleotide metabolism in OIS, how nucleotide metabolism leads to transformation and tumor progression, and how this pathway can be targeted as a cancer therapeutic by inducing senescence of cancer cells.
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“Moreover, during OIS, fatty acid metabolism is altered, glucose consumption is enhanced, and the utilization of pyruvate in the tricarboxylic acid cycle and nucleotide deficiency are increased [119,216,217,218,219].”
From Mechanisms and Regulation of Cellular Senescence (2021) · cites this paper as [219]
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Flagged first, then by citations
2 of the 109 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Mechanisms and Regulation of Cellular Senescence
Roger, L., Tomas, F., & Gire, V. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms222313173 · Cited by 395
Biomarkers in Cancer Detection, Diagnosis, and Prognosis
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Advances in umami taste and aroma of edible mushrooms
Sun, L., Zhang, Z., Xin, G., Sun, B., Bao, X., Wei, Y., Zhao, X., & Xu, H. (2019) · Trends in Food Science & Technology · doi:10.1016/j.tifs.2019.12.018 · Cited by 321
Tumor suppressor p53 and metabolism
Liu, J., Zhang, C., Hu, W., & Feng, Z. (2018) · Journal of Molecular Cell Biology · doi:10.1093/jmcb/mjy070 · Cited by 313
Metadata
- Authors
- Aird, K. M., & Zhang, R.
- Affiliations
- The Wistar Institute (US)
- Corresponding author
- Zhang, Rugang
- Venue
- Cancer Letters
- Publisher
- Elsevier BV
- Published
- 2015-01
- Volume
- 356
- Issue
- 2
- Pages
- 204-210
- ISSN
- 0304-3835 (ISSN-L)
- PMC
- PMC4115046
- OpenAlex
- W1974913955
- Cited by
- 166
- References
- 109
- Citations by year
- 2026: 9 · 2025: 10 · 2024: 31 · 2023: 17 · 2022: 22 · 2021: 17 · 2020: 11 · 2019: 10 · 2018: 11 · 2017: 6 · 2016: 12 · 2015: 6
- FWCI
- 1.10
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Cancer Letters (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Cancer Institute (CA010815, T32CA9171-35, R01CA160331, R01CA163377, T32CA009171, P30CA010815)
- Ovarian Cancer Academy
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › Telomeres, Telomerase, and Senescence
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Biochemical and Molecular Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › DNA Repair Mechanisms
- Keywords
- oncogene-induced senescence, nucleotide metabolism, dNTP pools, DNA replication, DNA damage response, tumor suppression, tumor progression, cellular senescence, cancer therapy, DNA repair
- MeSH terms
- Cell Transformation, Neoplastic, Deoxyribonucleotides, DNA Damage, DNA Repair, DNA Replication, Humans, Neoplasms, Oncogenes, Biomarkers, Tumor, Neoplastic Stem Cells, Signal Transduction, Cellular Senescence, Cell Proliferation
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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