Literature DB >> 9421363

Detection of p53 gene mutation by rapid PCR-SSCP and its association with poor survival in breast cancer.

R Soong1, B J Iacopetta, J M Harvey, G F Sterrett, H J Dawkins, R Hahnel, P D Robbins.   

Abstract

We examined the association between mutation of the p53 gene and survival in a large cohort of breast cancer patients. Using a rapid, non-isotopic single-strand conformation polymorphism (SSCP) method we screened for mutations in exons 4-10 of the p53 gene in 375 primary breast cancers from patients with a median follow-up of 57 months. Mutations were found in 19% of tumours. Statistically significant associations were found between p53 mutation and histological grade, hormone receptor status, ploidy and S-phase fraction. No association was found between p53 mutation and axillary lymph node involvement, histological type, tumour size, vascular invasion or patient age. In univariate survival analysis, p53 mutation was strongly associated with poor prognosis. This was maintained in the lymph node-negative and hormone receptor-positive patient subgroups. In multivariate analysis, p53 mutation was associated with poor survival independent of lymph node status, estrogen receptor status and S-phase fraction. Our results demonstrate the feasibility of using a rapid and simple polymerase chain reaction-SSCP screening procedure to detect p53 gene mutation in breast cancer for the provision of prognostic information.

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Year:  1997        PMID: 9421363     DOI: 10.1002/(sici)1097-0215(19971219)74:6<642::aid-ijc15>3.0.co;2-7

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  7 in total

1.  Somatic mutations in the p53 gene and prognosis in breast cancer: a meta-analysis.

Authors:  P D Pharoah; N E Day; C Caldas
Journal:  Br J Cancer       Date:  1999-08       Impact factor: 7.640

2.  Identification of human papillomavirus DNA gene sequences in human breast cancer.

Authors:  C-Y Kan; B J Iacopetta; J S Lawson; N J Whitaker
Journal:  Br J Cancer       Date:  2005-10-17       Impact factor: 7.640

3.  Rapid detection of genetic mutations in individual breast cancer patients by next-generation DNA sequencing.

Authors:  Suqin Liu; Hongjiang Wang; Lizhi Zhang; Chuanning Tang; Lindsey Jones; Hua Ye; Liying Ban; Aman Wang; Zhiyuan Liu; Feng Lou; Dandan Zhang; Hong Sun; Haichao Dong; Guangchun Zhang; Zhishou Dong; Baishuai Guo; He Yan; Chaowei Yan; Lu Wang; Ziyi Su; Yangyang Li; Xue F Huang; Si-Yi Chen; Tao Zhou
Journal:  Hum Genomics       Date:  2015-02-08       Impact factor: 4.639

4.  Screening and computational analysis of colorectal associated non-synonymous polymorphism in CTNNB1 gene in Pakistani population.

Authors:  Suhail Razak; Nousheen Bibi; Javid Ahmad Dar; Tayyaba Afsar; Ali Almajwal; Zahida Parveen; Sarwat Jahan
Journal:  BMC Med Genet       Date:  2019-11-07       Impact factor: 2.103

5.  Only missense mutations affecting the DNA binding domain of p53 influence outcomes in patients with breast carcinoma.

Authors:  Frédérique Végran; Magali Rebucci; Sandy Chevrier; Muriel Cadouot; Romain Boidot; Sarab Lizard-Nacol
Journal:  PLoS One       Date:  2013-01-24       Impact factor: 3.240

6.  The -174 G/C gene polymorphism in interleukin-6 is associated with an aggressive breast cancer phenotype.

Authors:  B Iacopetta; F Grieu; D Joseph
Journal:  Br J Cancer       Date:  2004-01-26       Impact factor: 7.640

7.  Identification of p53 and its isoforms in human breast carcinoma cells.

Authors:  Zorka Milićević; Vladan Bajić; Lada Živković; Jelena Kasapović; Uroš Andjelković; Biljana Spremo-Potparević
Journal:  ScientificWorldJournal       Date:  2014-01-05
  7 in total

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