Literature DB >> 11079169

p53 mutations in epithelial ovarian cancers: possible role in predicting chemoresistance.

S Laframboise1, W Chapman, J McLaughlin, I L Andrulis.   

Abstract

PURPOSE: The investigators undertook a retrospective study to determine (1) whether p53 mutations are predictors of survival in patients with advanced epithelial ovarian cancer, (2) whether p53 status by sequencing is associated with established prognostic indicators, and (3) the agreement of results between direct sequencing of p53 mutations and immunohistochemistry.
MATERIAL AND METHODS: This study was retrospective review of 43 patients with advanced epithelial ovarian cancer treated with surgery and by paclitaxel-based chemotherapy. Clinical data were extracted from the charts. By use of paraffin-embedded blocks, p53 analysis was carried out by (1) direct sequencing and (2) immunohistochemistry. Kaplan-Meier estimates were used for overall and disease-free survivals. To determine whether p53 mutation (sequencing) was related to prognosis and to determine the agreement between p53 abnormalities by sequencing and immunohistochemistry, risk ratios were calculated.
RESULTS: Mean age at diagnosis was 57.4 years. Surgical stages were as follows: 5% were stage IIC, 79% were stage III, and 16% were stage IV. Seventy-seven percent of tumors were serous, and 56% of tumors were grade 3. All patients received paclitaxel-based chemotherapy. Mean disease-free and overall survivals were 16.4 and 22.6 months, respectively. p53 abnormalities were detected by sequencing in 53% of cases and by immunohistochemistry in 70%. Agreement between both techniques was 68%. Patients with stages IIC/IV had a risk of 1.7 of having a p53 mutation by sequencing; grade, histology, disease-free survival and overall survival were not predictive of p53 mutation status. DISCUSSION: The 54% mutation rate may be underestimated by limiting our analysis to exons 5 to 9. p53 mutation status was not predictive of survival (disease free and overall) or of chemoresistance; this suggests that paclitaxel-based apoptosis is independent of the p53 gene. The concomitant use of cisplatin, an inducer of apoptosis that is dependent on the normal function of p53, makes the interpretation of these results difficult. Histopathologic factors were not statistically associated with p53 status, but more advanced surgical stage and tumor grade were suggestive of higher rates of p53 mutations, implying more aggressive behavior. Finally, the lack of agreement between results obtained by sequencing and immunohistochemistry highlights the limitation of the latter technique and the possibility of underestimating abnormal p53 function. In conclusion, because discrepancies exist between the two techniques, we recommend direct sequencing of exons 4 through 10 to determine the true prevalence of p53 mutation. Furthermore, larger randomized studies are required to elucidate the role of p53 in predicting chemoresponse in advanced epithelial ovarian cancer.

Entities:  

Mesh:

Substances:

Year:  2000        PMID: 11079169

Source DB:  PubMed          Journal:  Cancer J        ISSN: 1528-9117            Impact factor:   3.360


  11 in total

1.  Identification and characterization of missense alterations in the BRCA1 associated RING domain (BARD1) gene in breast and ovarian cancer.

Authors:  M K Sauer; I L Andrulis
Journal:  J Med Genet       Date:  2005-08       Impact factor: 6.318

2.  Bortezomib treatment of ovarian cancer cells mediates endoplasmic reticulum stress, cell cycle arrest, and apoptosis.

Authors:  Ansgar Brüning; Petra Burger; Marianne Vogel; Martina Rahmeh; Klaus Friese; Miriam Lenhard; Alexander Burges
Journal:  Invest New Drugs       Date:  2008-11-28       Impact factor: 3.850

3.  The genomic landscape of TP53 and p53 annotated high grade ovarian serous carcinomas from a defined founder population associated with patient outcome.

Authors:  Paulina M Wojnarowicz; Kathleen Klein Oros; Michael C J Quinn; Suzanna L Arcand; Karen Gambaro; Jason Madore; Ashley H Birch; Manon de Ladurantaye; Kurosh Rahimi; Diane M Provencher; Anne-Marie Mes-Masson; Celia M T Greenwood; Patricia N Tonin
Journal:  PLoS One       Date:  2012-09-20       Impact factor: 3.240

4.  Interaction between p53 and Ras signaling controls cisplatin resistance via HDAC4- and HIF-1α-mediated regulation of apoptosis and autophagy.

Authors:  Xiaofei Zhang; Zihao Qi; Huijing Yin; Gong Yang
Journal:  Theranostics       Date:  2019-01-30       Impact factor: 11.556

5.  Modest effect of p53, EGFR and HER-2/neu on prognosis in epithelial ovarian cancer: a meta-analysis.

Authors:  P de Graeff; A P G Crijns; S de Jong; M Boezen; W J Post; E G E de Vries; A G J van der Zee; G H de Bock
Journal:  Br J Cancer       Date:  2009-06-09       Impact factor: 7.640

6.  High resolution melting for mutation scanning of TP53 exons 5-8.

Authors:  Michael Krypuy; Ahmed Ashour Ahmed; Dariush Etemadmoghadam; Sarah J Hyland; Anna DeFazio; Stephen B Fox; James D Brenton; David D Bowtell; Alexander Dobrovic
Journal:  BMC Cancer       Date:  2007-08-31       Impact factor: 4.430

Review 7.  The consequence of oncomorphic TP53 mutations in ovarian cancer.

Authors:  Pavla Brachova; Kristina W Thiel; Kimberly K Leslie
Journal:  Int J Mol Sci       Date:  2013-09-23       Impact factor: 5.923

8.  Predictive and prognostic protein biomarkers in epithelial ovarian cancer: recommendation for future studies.

Authors:  Cécile Le Page; David G Huntsman; Diane M Provencher; Anne-Marie Mes-Masson
Journal:  Cancers (Basel)       Date:  2010-05-26       Impact factor: 6.639

9.  Assessing mutant p53 in primary high-grade serous ovarian cancer using immunohistochemistry and massively parallel sequencing.

Authors:  Alexander J Cole; Trisha Dwight; Anthony J Gill; Kristie-Ann Dickson; Ying Zhu; Adele Clarkson; Gregory B Gard; Jayne Maidens; Susan Valmadre; Roderick Clifton-Bligh; Deborah J Marsh
Journal:  Sci Rep       Date:  2016-05-18       Impact factor: 4.379

10.  Age-related copy number variations and expression levels of F-box protein FBXL20 predict ovarian cancer prognosis.

Authors:  Shuhua Zheng; Yuejun Fu
Journal:  Transl Oncol       Date:  2020-09-05       Impact factor: 4.243

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.