The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.
Driver mutations in TP53 are ubiquitous in high grade serous carcinoma of the ovary
Open accessAbstract
Numerous studies have tested the association between TP53 mutations in ovarian cancer and prognosis but these have been consistently confounded by limitations in study design, methodology, and/or heterogeneity in the sample cohort. High‐grade serous (HGS) carcinoma is the most clinically important histological subtype of ovarian cancer. As these tumours may arise from the ovary, Fallopian tube or peritoneum, they are collectively referred to as high‐grade pelvic serous carcinoma (HGPSC). To identify the true prevalence of TP53 mutations in HGPSC, we sequenced exons 2–11 and intron–exon boundaries in tumour DNA from 145 patients. HGPSC cases were defined as having histological grade 2 or 3 and FIGO stage III or IV. Surprisingly, pathogenic TP53 mutations were identified in 96.7% ( n = 119/123) of HGPSC cases. Molecular and pathological review of mutation‐negative cases showed evidence of p53 dysfunction associated with copy number gain of MDM2 or MDM4 , or indicated the exclusion of samples as being low‐grade serous tumours or carcinoma of uncertain primary site. Overall, p53 dysfunction rate approached 100% of confirmed HGPSCs. No association between TP53 mutation and progression‐free or overall survival was found. From this first comprehensive mapping of TP53 mutation rate in a homogeneous group of HGPSC patients, we conclude that mutant TP53 is a driver mutation in the pathogenesis of HGPSC cancers. Because TP53 mutation is almost invariably present in HGPSC, it is not of substantial prognostic or predictive significance. Copyright © 2010 Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Primer3 on the WWW for General Users and for Biologist Programmers
Rozen, S., & Skaletsky, H. (2003) · Bioinformatics Methods and Protocols · doi:10.1385/1-59259-192-2:365 · Cited by 15,013
An 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
Mice deficient for p53 are developmentally normal but susceptible to spontaneous tumours
Donehower, L. A., Harvey, M., Slagle, B. L., McArthur, M. J., Montgomery, C. A., Butel, J. S., & Bradley, A. (1992) · Nature · doi:10.1038/356215a0 · Cited by 4,649
Reporting Recommendations for Tumor Marker Prognostic Studies (REMARK)
McShane, L. M., Altman, D. G., Sauerbrei, W., Taube, S. E., Gion, M., & Clark, G. M. (2005) · JNCI: Journal of the National Cancer Institute · doi:10.1093/jnci/dji237 · Cited by 2,162
Amplification of a gene encoding a p53-associated protein in human sarcomas
Oliner, J. D., Kinzler, K. W., Meltzer, P. S., George, D. L., & Vogelstein, B. (1992) · Nature · doi:10.1038/358080a0 · Cited by 1,949
Hallmarks of 'BRCAness' in sporadic cancers
Turner, N., Tutt, A., & Ashworth, A. (2004) · Nature Reviews Cancer · doi:10.1038/nrc1457 · Cited by 1,657
Rescue of early embryonic lethality in mdm2-deficient mice by deletion of p53
de Oca Luna, R. M., Wagner, D. S., & Lozano, G. (1995) · Nature · doi:10.1038/378203a0 · Cited by 1,420
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
A candidate precursor to serous carcinoma that originates in the distal fallopian tube
Lee, Y., Miron, A., Drapkin, R., Nucci, M., Medeiros, F., Saleemuddin, A., Garber, J., Birch, C., Mou, H., Gordon, R., et al. (2007) · The Journal of Pathology · doi:10.1002/path.2091 · Cited by 898
Ovarian Carcinoma Subtypes Are Different Diseases: Implications for Biomarker Studies
Köbel, M., Kalloger, S. E., Boyd, N., McKinney, S., Mehl, E., Palmer, C., Leung, S., Bowen, N. J., Ionescu, D. N., Rajput, A., et al. (2008) · PLoS Medicine · doi:10.1371/journal.pmed.0050232 · Cited by 814
Cited by
ARID1A Mutations in Endometriosis-Associated Ovarian Carcinomas
Wiegand, K. C., Shah, S. P., Al-Agha, O. M., Zhao, Y., Tse, K., Zeng, T., Senz, J., McConechy, M. K., Anglesio, M. S., Kalloger, S. E., et al. (2010) · New England Journal of Medicine · doi:10.1056/nejmoa1008433 · Cited by 1,712
Self-citationRethinking ovarian cancer II: reducing mortality from high-grade serous ovarian cancer
Bowtell, D. D., Böhm, S., Ahmed, A. A., Aspuria, P.-J., Bast, R. C., Beral, V., Berek, J. S., Birrer, M. J., Blagden, S., Bookman, M. A., et al. (2015) · Nature Reviews Cancer · doi:10.1038/nrc4019 · Cited by 1,367
Self-citationMatulonis, U. A., Sood, A. K., Fallowfield, L., Howitt, B. E., Sehouli, J., & Karlan, B. Y. (2016) · Nature Reviews Disease Primers · doi:10.1038/nrdp.2016.61 · Cited by 1,362
Rivlin, N., Brosh, R., Oren, M., & Rotter, V. (2011) · Genes & Cancer · doi:10.1177/1947601911408889 · Cited by 1,033
MuSiC: Identifying mutational significance in cancer genomes
Dees, N. D., Zhang, Q., Kandoth, C., Wendl, M. C., Schierding, W., Koboldt, D. C., Mooney, T. B., Callaway, M. B., Dooling, D., Mardis, E. R., et al. (2012) · Genome Research · doi:10.1101/gr.134635.111 · Cited by 677
Perets, R., Wyant, G. A., Muto, K. W., Bijron, J. G., Poole, B. B., Chin, K. T., Chen, J. Y. H., Ohman, A. W., Stepule, C. D., Kwak, S., et al. (2013) · Cancer Cell · doi:10.1016/j.ccr.2013.10.013 · Cited by 596
Therapeutic targeting of p53: all mutants are equal, but some mutants are more equal than others
Sabapathy, K., & Lane, D. P. (2018) · Nature Reviews Clinical Oncology · doi:10.1038/nrclinonc.2017.151 · Cited by 517
Ovarian Cancer Cell Line Panel (OCCP): Clinical Importance of In Vitro Morphological Subtypes
Beaufort, C. M., Helmijr, J. C. A., Piskorz, A. M., Hoogstraat, M., Ruigrok-Ritstier, K., Besselink, N., Murtaza, M., van IJcken, W. F. J., Heine, A. A. J., Smid, M., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0103988 · Cited by 403
“High-grade serous (HGS) carcinoma represents 80% of ovarian cancers and is defined by TP53 mutation (96%), homologous recombination DNA repair defects (,50%), CCNE1 amplification and genomic instability [4–6].”
BackgroundSpatial and Temporal Heterogeneity in High-Grade Serous Ovarian Cancer: A Phylogenetic Analysis
Schwarz, R. F., Ng, C. K. Y., Cooke, S. L., Newman, S., Temple, J., Piskorz, A. M., Gale, D., Sayal, K., Murtaza, M., Baldwin, P. J., et al. (2015) · PLOS Medicine · doi:10.1371/journal.pmed.1001789 · Cited by 400
Self-citationA Designed Inhibitor of p53 Aggregation Rescues p53 Tumor Suppression in Ovarian Carcinomas
Soragni, A., Janzen, D. M., Johnson, L. M., Lindgren, A. G., Thai-Quynh Nguyen, A., Tiourin, E., Soriaga, A. B., Lu, J., Jiang, L., Faull, K. F., et al. (2016) · Cancer Cell · doi:10.1016/j.ccell.2015.12.002 · Cited by 341
Singh, N., Piskorz, A. M., Bosse, T., Jimenez‐Linan, M., Rous, B., Brenton, J. D., Gilks, C. B., & Köbel, M. (2020) · The Journal of Pathology · doi:10.1002/path.5375 · Cited by 316
Self-citationThe role of the fallopian tube in the origin of ovarian cancer
Erickson, B. K., Conner, M. G., & Landen, C. N. (2013) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2013.04.019 · Cited by 286
Phan, N., Hong, J. J., Tofig, B., Mapua, M., Elashoff, D., Moatamed, N. A., Huang, J., Memarzadeh, S., Damoiseaux, R., & Soragni, A. (2019) · Communications Biology · doi:10.1038/s42003-019-0305-x · Cited by 269
Acquired chemotherapy resistance in ovarian cancer
Christie, E. L., & Bowtell, D. D. L. (2017) · Annals of Oncology · doi:10.1093/annonc/mdx446 · Cited by 220
Self-citationEvolution of platinum resistance in high-grade serous ovarian cancer
Cooke, S. L., & Brenton, J. D. (2011) · The Lancet Oncology · doi:10.1016/s1470-2045(11)70123-1 · Cited by 213
Self-citationAPR-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
Acquisition of p53 mutations in response to the non-genotoxic p53 activator Nutlin-3
Aziz, M. H., Shen, H., & Maki, C. G. (2011) · Oncogene · doi:10.1038/onc.2011.185 · Cited by 131
Oza, A. M., Estevez-Diz, M., Grischke, E.-M., Hall, M., Marmé, F., Provencher, D., Uyar, D., Weberpals, J. I., Wenham, R. M., Laing, N., et al. (2020) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-20-0219 · Cited by 129
Fransson, Å., Glaessgen, D., Alfredsson, J., Wiman, K. G., Bajalica-Lagercrantz, S., & Mohell, N. (2016) · Journal of Ovarian Research · doi:10.1186/s13048-016-0239-6 · Cited by 65
p53 downregulates the Fanconi anaemia DNA repair pathway
Jaber, S., Toufektchan, E., Lejour, V., Bardot, B., & Toledo, F. (2016) · Nature Communications · doi:10.1038/ncomms11091 · Cited by 61
Huang, H., Hsu, C., Chu, S., Chen, P., Ding, D., Chang, M., & Chu, T. (2016) · The Journal of Pathology · doi:10.1002/path.4807 · Cited by 38
Funingana, I.-G., Reinius, M. A. V., Petrillo, A., Ang, J. E., & Brenton, J. D. (2021) · Seminars in Cancer Biology · doi:10.1016/j.semcancer.2021.02.008 · Cited by 23
Self-citationGambaro, K., Quinn, M. C., Cáceres-Gorriti, K. Y., Shapiro, R. S., Provencher, D., Rahimi, K., Mes-Masson, A.-M., & Tonin, P. N. (2015) · BMC Cancer · doi:10.1186/s12885-015-1138-8 · Cited by 21
Integrated genomic analyses of ovarian carcinoma
The Cancer Genome Atlas Research Network (2011) · Nature · doi:10.1038/nature10166 · Cited by 129
The many microenvironments of ovarian cancer
Micek, H. M., Visetsouk, M. R., Fleszar, A. J., & Kreeger, P. K. (2020) · Advances in experimental medicine and biology · doi:10.1007/978-3-030-59038-3_12 · Cited by 14
Metadata
- Authors
- Ahmed, A. A., Etemadmoghadam, D., Temple, J., Lynch, A. G., Riad, M., Sharma, R., Stewart, C., Fereday, S., Caldas, C., deFazio, A., Bowtell, D., & Brenton, J. D.
- Venue
- The Journal of Pathology
- Publisher
- Wiley
- Published
- 2010-04
- Volume
- 221
- Issue
- 1
- Pages
- 49-56
- ISSN
- 0022-3417 (ISSN-L)
- 1096-9896
- OpenAlex
- W2089477889
- Cited by
- 787
- References
- 49
- FWCI
- 48.49
- Type
- journal article
- Language
- en
- Open access
- hybrid
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
