Literature DB >> 9676832

Analysis of p53 gene mutation by polymerase chain reaction-single strand conformation polymorphism provides independent prognostic information in node-negative breast cancer.

B Iacopetta1, F Grieu, B Powell, R Soong, K McCaul, R Seshadri.   

Abstract

Controversy continues regarding the prognostic utility of detection of p53 gene abnormalities in node-negative breast cancer. To resolve this, we used a rapid and nonisotopic PCR-single strand conformation polymorphism method to screen for mutations in exons 4-8 of the p53 gene in primary tumors from 422 node-negative breast cancer patients. The prevalence of p53 mutation in the exons tested was 18%. p53 mutation was significantly associated with several markers of poor prognosis including larger tumor size, high tumor grade, low hormone receptor content, increased expression of MIB-1 (Ki-67), amplification of the HER-2/neu oncogene, and accumulation of the p53 protein. After a median duration follow-up period of 74 months, the parameters of tumor diameter > or =20 mm, HER-2/neu oncogene amplification, and p53 mutation were found to be associated with a statistically significant shortened duration of disease-free and overall survival, but not the parameters of tumor grade, hormone receptor levels, or p53 expression. The poor prognosis associated with p53 mutation was observed primarily in patients with a tumor diameter of > or =20 mm. In multivariate analysis, p53 mutation was a risk factor for increased risk of recurrence and death from breast cancer independent of tumor size, hormone receptor levels, HER-2/neu amplification, and MIB-1 expression. We conclude that a relatively simple and rapid single strand conformation polymorphism method of determining p53 mutation status in node-negative breast cancers can provide independent prognostic information.

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Year:  1998        PMID: 9676832

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  9 in total

Review 1.  Prognostic factors in node-negative breast cancer: a review of studies with sample size more than 200 and follow-up more than 5 years.

Authors:  Attiqa N Mirza; Nadeem Q Mirza; Georges Vlastos; S Eva Singletary
Journal:  Ann Surg       Date:  2002-01       Impact factor: 12.969

2.  The value of metastatic screening in early primary breast cancer.

Authors:  M C Barry; F Thornton; M Murphy; F Younis; R G Watson
Journal:  Ir J Med Sci       Date:  1999 Oct-Dec       Impact factor: 1.568

Review 3.  Culture models of human mammary epithelial cell transformation.

Authors:  M R Stampfer; P Yaswen
Journal:  J Mammary Gland Biol Neoplasia       Date:  2000-10       Impact factor: 2.673

4.  Different mutant/wild-type p53 combinations cause a spectrum of increased invasive potential in nonmalignant immortalized human mammary epithelial cells.

Authors:  Damian J Junk; Lukas Vrba; George S Watts; Marc M Oshiro; Jesse D Martinez; Bernard W Futscher
Journal:  Neoplasia       Date:  2008-05       Impact factor: 5.715

5.  Expression of the cell cycle regulatory proteins p34cdc2, p21waf1, and p53 in node negative invasive ductal breast carcinoma.

Authors:  H P Kourea; A K Koutras; C D Scopa; M N Marangos; E Tzoracoeleftherakis; D Koukouras; H P Kalofonos
Journal:  Mol Pathol       Date:  2003-12

6.  Application of an original RT-PCR-ELISA multiplex assay for MDR1 and MRP, along with p53 determination in node-positive breast cancer patients.

Authors:  J M Ferrero; M C Etienne; J L Formento; M Francoual; P Rostagno; I Peyrottes; F Ettore; E Teissier; P Leblanc-Talent; M Namer; G Milano
Journal:  Br J Cancer       Date:  2000-01       Impact factor: 7.640

7.  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

8.  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

9.  p53 induces distinct epigenetic states at its direct target promoters.

Authors:  Lukas Vrba; Damian J Junk; Petr Novak; Bernard W Futscher
Journal:  BMC Genomics       Date:  2008-10-15       Impact factor: 3.969

  9 in total

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