Literature DB >> 10337991

Increased frequency of TP53 mutations in BRCA1 and BRCA2 ovarian tumours.

S J Ramus1, L G Bobrow, P D Pharoah, D S Finnigan, A Fishman, M Altaras, P A Harrington, S A Gayther, B A Ponder, L S Friedman.   

Abstract

We screened 81 ovarian tumours (30 BRCA1 associated, 18 BRCA2 associated, and 33 sporadic) for somatic TP53 mutations using both DNA analysis and immunostaining. TP53 mutations were significantly more frequent in tumours with mutations in BRCA1 (70% by immunostaining and 60% by DNA analysis) and BRCA2 (67% and 50%) compared to sporadic controls (39% and 30%) (P = 0.009). A higher proportion of tumours with BRCA1 and BRCA2 mutations were poorly differentiated, and TP53 mutant tumours in all categories were also more likely to be poorly differentiated. The poor differentiation of tumours with BRCA1 and BRCA2 mutations may be directly related to the role of these genes in DNA repair, and the need to overcome cell cycle checkpoints, often through loss of TP53. These results are consistent with the model of BRCA-induced tumorigenesis in which loss of checkpoint control is necessary for tumour development.

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Year:  1999        PMID: 10337991     DOI: 10.1002/(sici)1098-2264(199906)25:2<91::aid-gcc3>3.0.co;2-5

Source DB:  PubMed          Journal:  Genes Chromosomes Cancer        ISSN: 1045-2257            Impact factor:   5.006


  27 in total

1.  Mapping the physical and functional interactions between the tumor suppressors p53 and BRCA2.

Authors:  Sridharan Rajagopalan; Antonina Andreeva; Trevor J Rutherford; Alan R Fersht
Journal:  Proc Natl Acad Sci U S A       Date:  2010-04-26       Impact factor: 11.205

Review 2.  The mammalian ovary from genesis to revelation.

Authors:  Mark A Edson; Ankur K Nagaraja; Martin M Matzuk
Journal:  Endocr Rev       Date:  2009-09-23       Impact factor: 19.871

Review 3.  Therapy-related myeloid neoplasms: when genetics and environment collide.

Authors:  Megan E McNerney; Lucy A Godley; Michelle M Le Beau
Journal:  Nat Rev Cancer       Date:  2017-08-24       Impact factor: 60.716

Review 4.  BRCA1 and BRCA2: different roles in a common pathway of genome protection.

Authors:  Rohini Roy; Jarin Chun; Simon N Powell
Journal:  Nat Rev Cancer       Date:  2011-12-23       Impact factor: 60.716

5.  A mouse model for the molecular characterization of brca1-associated ovarian carcinoma.

Authors:  Deyin Xing; Sandra Orsulic
Journal:  Cancer Res       Date:  2006-09-15       Impact factor: 12.701

6.  Conditional knockout of brca1/2 and p53 in mouse ovarian surface epithelium: do they play a role in ovarian carcinogenesis?

Authors:  Ki-Yon Kim; Dong Wook Park; Eui-Bae Jeung; Kyung-Chul Choi
Journal:  J Vet Sci       Date:  2010-12       Impact factor: 1.672

7.  Hereditary ovarian cancer and two-compartment tumor metabolism: epithelial loss of BRCA1 induces hydrogen peroxide production, driving oxidative stress and NFκB activation in the tumor stroma.

Authors:  Ubaldo E Martinez-Outschoorn; Renee M Balliet; Zhao Lin; Diana Whitaker-Menezes; Anthony Howell; Federica Sotgia; Michael P Lisanti
Journal:  Cell Cycle       Date:  2012-10-09       Impact factor: 4.534

8.  Methylation and protein expression of DNA repair genes: association with chemotherapy exposure and survival in sporadic ovarian and peritoneal carcinomas.

Authors:  Elizabeth M Swisher; Rachel M Gonzalez; Toshiyasu Taniguchi; Rochelle L Garcia; Tom Walsh; Barbara A Goff; Piri Welcsh
Journal:  Mol Cancer       Date:  2009-07-14       Impact factor: 27.401

9.  Conditional inactivation of Brca1, p53 and Rb in mouse ovaries results in the development of leiomyosarcomas.

Authors:  Katherine V Clark-Knowles; Mary K Senterman; Olga Collins; Barbara C Vanderhyden
Journal:  PLoS One       Date:  2009-12-31       Impact factor: 3.240

10.  Induction of ovarian leiomyosarcomas in mice by conditional inactivation of Brca1 and p53.

Authors:  Bridget A Quinn; Tiffany Brake; Xiang Hua; Kimberly Baxter-Jones; Samuel Litwin; Lora Hedrick Ellenson; Denise C Connolly
Journal:  PLoS One       Date:  2009-12-31       Impact factor: 3.240

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