The DOI matches its Crossref record; 167 of the 167 references it cites were found in a registry or an index.
Role of mitochondrial dysfunction in cancer progression
Open accessAbstract
Deregulated cellular energetics was one of the cancer hallmarks. Several underlying mechanisms of deregulated cellular energetics are associated with mitochondrial dysfunction caused by mitochondrial DNA mutations, mitochondrial enzyme defects, or altered oncogenes/tumor suppressors. In this review, we summarize the current understanding about the role of mitochondrial dysfunction in cancer progression. Point mutations and copy number changes are the two most common mitochondrial DNA alterations in cancers, and mitochondrial dysfunction induced by chemical depletion of mitochondrial DNA or impairment of mitochondrial respiratory chain in cancer cells promotes cancer progression to a chemoresistance or invasive phenotype. Moreover, defects in mitochondrial enzymes, such as succinate dehydrogenase, fumarate hydratase, and isocitrate dehydrogenase, are associated with both familial and sporadic forms of cancer. Deregulated mitochondrial deacetylase sirtuin 3 might modulate cancer progression by regulating cellular metabolism and oxidative stress. These mitochondrial defects during oncogenesis and tumor progression activate cytosolic signaling pathways that ultimately alter nuclear gene expression, a process called retrograde signaling. Changes in the intracellular level of reactive oxygen species, Ca 2+, or oncometabolites are important in the mitochondrial retrograde signaling for neoplastic transformation and cancer progression. In addition, altered oncogenes/tumor suppressors including hypoxia-inducible factor 1 and tumor suppressor p53 regulate mitochondrial respiration and cellular metabolism by modulating the expression of their target genes. We thus suggest that mitochondrial dysfunction plays a critical role in cancer progression and that targeting mitochondrial alterations and mitochondrial retrograde signaling might be a promising strategy for the development of selective anticancer therapy.
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Cites
Hallmarks of Cancer: The Next Generation
Hanahan, D., & Weinberg, R. A. (2011) · Cell · doi:10.1016/j.cell.2011.02.013 · Cited by 66,590
Sequence and organization of the human mitochondrial genome
Anderson, S., Bankier, A. T., Barrell, B. G., de Bruijn, M. H. L., Coulson, A. R., Drouin, J., Eperon, I. C., Nierlich, D. P., Roe, B. A., Sanger, F., et al. (1981) · Nature · doi:10.1038/290457a0 · Cited by 9,636
Targeting HIF-1 for cancer therapy
Semenza, G. L. (2003) · Nature Reviews Cancer · doi:10.1038/nrc1187 · Cited by 6,717 · cited 1×
“angiogenesis, proliferation, invasion, and metastasis.(138,141) Overexpressed HIF-1a is associated with malignancy in many types of tumor including bladder, brain, breast, colon, oral, liver, lung, pancreas, skin, stomach, uterus, and leukemia.”
BackgroundAn Integrated Genomic Analysis of Human Glioblastoma Multiforme
Parsons, D. W., Jones, S., Zhang, X., Lin, J. C.-H., Leary, R. J., Angenendt, P., Mankoo, P., Carter, H., Siu, I.-M., Gallia, G. L., et al. (2008) · Science · doi:10.1126/science.1164382 · Cited by 5,857
IDH1 and IDH2 Mutations in Gliomas
Yan, H., Parsons, D. W., Jin, G., McLendon, R., Rasheed, B. A., Yuan, W., Kos, I., Batinic-Haberle, I., Jones, S., Riggins, G. J., et al. (2009) · New England Journal of Medicine · doi:10.1056/nejmoa0808710 · Cited by 5,847
Jaakkola, P., Mole, D. R., Tian, Y.-M., Wilson, M. I., Gielbert, J., Gaskell, S. J., Kriegsheim, A. V., Hebestreit, H. F., Mukherji, M., Schofield, C. J., et al. (2001) · Science · doi:10.1126/science.1059796 · Cited by 5,535
Regulation of cancer cell metabolism
Cairns, R. A., Harris, I. S., & Mak, T. W. (2011) · Nature Reviews Cancer · doi:10.1038/nrc2981 · Cited by 4,744
HIFα Targeted for VHL-Mediated Destruction by Proline Hydroxylation: Implications for O 2 Sensing
Ivan, M., Kondo, K., Yang, H., Kim, W., Valiando, J., Ohh, M., Salic, A., Asara, J. M., Lane, W. S., & Kaelin Jr., W. G. (2001) · Science · doi:10.1126/science.1059817 · Cited by 4,735 · cited 1×
“Under normoxia, HIF-1a subunit is rapidly hydroxylated on the oxygen-dependent degradation (ODD) domain by prolyl hydroxylases and degraded through von Hippel–Lindau tumor suppressor protein (pVHL)mediated proteasome degradation pathway.(139,140) In tumor cells, HIF-1a plays a crucial role in Hsu et al.”
MethodCancer-associated IDH1 mutations produce 2-hydroxyglutarate
Dang, L., White, D. W., Gross, S., Bennett, B. D., Bittinger, M. A., Driggers, E. M., Fantin, V. R., Jang, H. G., Jin, S., Keenan, M. C., et al. (2009) · Nature · doi:10.1038/nature08617 · Cited by 4,154
The Consensus Coding Sequences of Human Breast and Colorectal Cancers
Sjöblom, T., Jones, S., Wood, L. D., Parsons, D. W., Lin, J., Barber, T. D., Mandelker, D., Leary, R. J., Ptak, J., Silliman, N., et al. (2006) · Science · doi:10.1126/science.1133427 · Cited by 3,169
Cited by
Mitochondria and cancer chemoresistance
Guerra, F., Arbini, A. A., & Moro, L. (2017) · Biochimica et Biophysica Acta (BBA) - Bioenergetics · doi:10.1016/j.bbabio.2017.01.012 · Cited by 323
Adlimoghaddam, A., Odero, G. G., Glazner, G., Turner, R. S., & Albensi, B. C. (2021) · Aging and disease · doi:10.14336/ad.2020.0910 · Cited by 38
Metadata
- Authors
- Hsu, C.-C., Tseng, L.-M., & Lee, H.-C.
- Venue
- Experimental Biology and Medicine
- Publisher
- Frontiers Media SA
- Published
- 2016-03-27
- Volume
- 241
- Issue
- 12
- Pages
- 1281-1295
- ISSN
- 0071-3384 (ISSN-L)
- 1535-3702
- 1535-3699
- OpenAlex
- W2329946383
- Cited by
- 305
- References
- 167
- FWCI
- 8.28
- Type
- journal article
- Language
- en
- Open access
- green
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