The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Clinical Outcomes and Correlates of TP53 Mutations and Cancer
Open accessAbstract
The initial observation that p53 accumulation might serve as a surrogate biomarker for TP53 mutation has been the cornerstone for vast translational efforts aimed at validating its clinical use for the diagnosis, prognosis, and treatment of cancer. Early on, it was realized that accurate evaluation of p53 status and function could not be achieved through protein-expression analysis only. As our understanding of the p53 pathway has evolved and more sophisticated methods for assessment of p53 functional integrity have become available, the clinical and molecular epidemiological implications of p53 abnormalities in cancers are being revealed. They include diagnostic testing for germline p53 mutations, and the assessment of selected p53 mutations as biomarkers of carcinogen exposure and cancer risk and prognosis. Here, we describe the strengths and limitations of the most frequently used techniques for determination of p53 status in tumors, as well as the most remarkable latest findings relating to its clinical and epidemiological value.
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Citations
Cites
p53 Mutations in Human Cancers
Hollstein, M., Sidransky, D., Vogelstein, B., & Harris, C. C. (1991) · Science · doi:10.1126/science.1905840 · Cited by 8,018
Self-citationA microRNA component of the p53 tumour suppressor network
He, L., He, X., Lim, L. P., de Stanchina, E., Xuan, Z., Liang, Y., Xue, W., Zender, L., Magnus, J., Ridzon, D., et al. (2007) · Nature · doi:10.1038/nature05939 · Cited by 2,692
Somatic mutations affect key pathways in lung adenocarcinoma
Ding, L., Getz, G., Wheeler, D. A., Mardis, E. R., McLellan, M. D., Cibulskis, K., Sougnez, C., Greulich, H., Muzny, D. M., Morgan, M. B., et al. (2008) · Nature · doi:10.1038/nature07423 · Cited by 2,681
Transactivation of miR-34a by p53 broadly influences gene expression and promotes apoptosis
Chang, T.-C., Wentzel, E. A., Kent, O. A., Ramachandran, K., Mullendore, M., Lee, K. H., Feldmann, G., Yamakuchi, M., Ferlito, M., Lowenstein, C. J., et al. (2007) · Molecular Cell · doi:10.1016/j.molcel.2007.05.010 · Cited by 2,010
Petitjean, A., Mathe, E., Kato, S., Ishioka, C., Tavtigian, S. V., Hainaut, P., & Olivier, M. (2007) · Human Mutation · doi:10.1002/humu.20495 · Cited by 1,598 · cited 2×
“fr) using the provided bioinformatics tools (Petitjean et al. 2007).”
BackgroundSenescence in premalignant tumours
Collado, M., Gil, J., Efeyan, A., Guerra, C., Schuhmacher, A. J., Barradas, M., Benguría, A., Zaballos, A., Flores, J. M., Barbacid, M., et al. (2005) · Nature · doi:10.1038/436642a · Cited by 1,482
When mutants gain new powers: News from the mutant p53 field
Brosh, R., & Rotter, V. (2009) · Nature Reviews Cancer · doi:10.1038/nrc2693 · Cited by 1,132
p53 isoforms can regulate p53 transcriptional activity
Bourdon, J.-C., Fernandes, K., Murray-Zmijewski, F., Liu, G., Diot, A., Xirodimas, D. P., Saville, M. K., & Lane, D. P. (2005) · Genes & Development · doi:10.1101/gad.1339905 · Cited by 810
p53 isoforms Δ133p53 and p53β are endogenous regulators of replicative cellular senescence
Fujita, K., Mondal, A. M., Horikawa, I., Nguyen, G. H., Kumamoto, K., Sohn, J. J., Bowman, E. D., Mathe, E. A., Schetter, A. J., Pine, S. R., et al. (2009) · Nature Cell Biology · doi:10.1038/ncb1928 · Cited by 336
Self-citationMolecular basis of the Li-Fraumeni syndrome: an update from the French LFS families
Bougeard, G., Sesboüé, R., Baert-Desurmont, S., Vasseur, S., Martin, C., Tinat, J., Brugières, L., Chompret, A., Paillerets, B. B.-D., Stoppa-Lyonnet, D., et al. (2008) · Journal of Medical Genetics · doi:10.1136/jmg.2008.057570 · Cited by 230
Cited by
Interaction between the microbiome and TP53 in human lung cancer
Greathouse, K. L., White, J. R., Vargas, A. J., Bliskovsky, V. V., Beck, J. A., von Muhlinen, N., Polley, E. C., Bowman, E. D., Khan, M. A., Robles, A. I., et al. (2018) · Genome Biology · doi:10.1186/s13059-018-1501-6 · Cited by 446
Self-citationLeroy, B., Fournier, J. L., Ishioka, C., Monti, P., Inga, A., Fronza, G., & Soussi, T. (2013) · Nucleic Acids Research · doi:10.1093/nar/gks1033 · Cited by 185
APR-246 overcomes resistance to cisplatin and doxorubicin in ovarian cancer cells
Mohell, N., Alfredsson, J., Fransson, Å., Uustalu, M., Byström, S., Gullbo, J., Hallberg, A., Bykov, V. J. N., Björklund, U., & Wiman, K. G. (2015) · Cell Death & Disease · doi:10.1038/cddis.2015.143 · Cited by 183
Laine, A., Sihto, H., Come, C., Rosenfeldt, M. T., Zwolinska, A., Niemelä, M., Khanna, A., Chan, E. K., Kähäri, V.-M., Kellokumpu-Lehtinen, P.-L., et al. (2013) · Cancer Discovery · doi:10.1158/2159-8290.cd-12-0292 · Cited by 130
Kubesova, B., Pavlova, S., Malcikova, J., Kabathova, J., Radova, L., Tom, N., Tichy, B., Plevova, K., Kantorova, B., Fiedorova, K., et al. (2018) · Leukemia · doi:10.1038/leu.2017.230 · Cited by 82
Metadata
- Authors
- Robles, A. I., & Harris, C. C.
- Venue
- Cold Spring Harbor Perspectives in Biology
- Publisher
- Cold Spring Harbor Laboratory
- Published
- 2009-11-25
- Volume
- 2
- Issue
- 3
- Pages
- a001016-a001016
- ISSN
- 1943-0264 (ISSN-L)
- OpenAlex
- W2167097026
- Cited by
- 394
- References
- 10
- Type
- posted content
- Language
- en
- Open access
- bronze
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