Literature DB >> 21693655

p53 Expression in node-positive breast cancer patients: results from the Cancer and Leukemia Group B 9344 Trial (159905).

Jonathan F Lara1, Ann D Thor, Lynn G Dressler, Gloria Broadwater, Ira J Bleiweiss, Susan Edgerton, David Cowan, Lori J Goldstein, Silvana Martino, James N Ingle, I Craig Henderson, Larry Norton, Eric P Winer, Clifford A Hudis, Matthew J Ellis, Donald A Berry, Daniel F Hayes.   

Abstract

PURPOSE: p53 as a prognostic and predictive factor in early-stage breast cancer has had mixed results. We studied p53 protein expression, by immunohistochemistry, in a randomized clinical trial of stage II patients treated with adjuvant doxorubicin and cyclophosphamide with or without paclitaxel [Cancer and Leukemia Group B (CALGB) 9344, INT0148]. PATIENTS AND METHODS: Epithelial p53 expression was evaluated using two immunohistochemical antibodies (DO7 and 1801) in formalin-fixed, paraffin-embedded tissue from patients with node-positive breast cancer who were randomized to four cycles of cyclophosphamide and one of three doses of doxorubicin (60, 75, or 90 mg/m(2); AC) and to receive four subsequent cycles of paclitaxel (T) or not. Prognostic and predictive value of p53 protein expression was assessed, independent of treatment assignment, for escalating doses of doxorubicin or addition of T with endpoints of relapse-free (RFS) and overall survival (OS).
RESULTS: Of 3,121 patients, 1,887 patient specimens treated on C9344 were obtained, passed quality control, and evaluated for p53 expression. Expression was 23% and 27% for mAbs 1801 and D07, respectively, with 92% concordance. In univariate analysis, p53 positivity was associated with worse OS with either antibody, but only p53 staining with monoclonal antibody 1801 had significantly worse RFS. In multivariate analysis, p53 was not predictive of RFS or OS from either doxorubicin dose escalation or addition of paclitaxel regardless of the antibody.
CONCLUSION: Nuclear staining of p53 by immunohistochemistry is associated with worse prognosis in node-positive patients treated with adjuvant doxorubicin-based chemotherapy but is not a useful predictor of benefit from doxorubicin dose escalation or the addition of paclitaxel. ©2011 AACR.

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Year:  2011        PMID: 21693655      PMCID: PMC3149770          DOI: 10.1158/1078-0432.CCR-11-0484

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


  35 in total

1.  TP53 mutation and p53 overexpression for prediction of response to neoadjuvant treatment in breast cancer patients.

Authors:  D Kandioler-Eckersberger; C Ludwig; M Rudas; S Kappel; E Janschek; C Wenzel; H Schlagbauer-Wadl; M Mittlböck; M Gnant; G Steger; R Jakesz
Journal:  Clin Cancer Res       Date:  2000-01       Impact factor: 12.531

2.  p53 expression in tumor-stromal fibroblasts forming and not forming fibrotic foci in invasive ductal carcinoma of the breast.

Authors:  Takahiro Hasebe; Motoki Iwasaki; Sadako Akashi-Tanaka; Takashi Hojo; Tatsuhiro Shibata; Yuko Sasajima; Takayuki Kinoshita; Hitoshi Tsuda
Journal:  Mod Pathol       Date:  2010-03-05       Impact factor: 7.842

3.  Prevalence and spectrum of p53 mutations associated with smoking in breast cancer.

Authors:  Kathleen Conway; Sharon N Edmiston; Lisa Cui; S Scott Drouin; Jingzhong Pang; Mei He; Chiu-Kit Tse; Joseph Geradts; Lynn Dressler; Edison T Liu; Robert Millikan; Beth Newman
Journal:  Cancer Res       Date:  2002-04-01       Impact factor: 12.701

4.  p53 status and the efficacy of cancer therapy in vivo.

Authors:  S W Lowe; S Bodis; A McClatchey; L Remington; H E Ruley; D E Fisher; D E Housman; T Jacks
Journal:  Science       Date:  1994-11-04       Impact factor: 47.728

5.  A mutant TP53 gene status is associated with a poor prognosis and anthracycline-resistance in breast cancer patients.

Authors:  E Rahko; G Blanco; Y Soini; R Bloigu; A Jukkola
Journal:  Eur J Cancer       Date:  2003-03       Impact factor: 9.162

6.  Accumulation of p53 tumor suppressor gene protein: an independent marker of prognosis in breast cancers.

Authors:  A D Thor; I I Moore DH; S M Edgerton; E S Kawasaki; E Reihsaus; H T Lynch; J N Marcus; L Schwartz; L C Chen; B H Mayall
Journal:  J Natl Cancer Inst       Date:  1992-06-03       Impact factor: 13.506

7.  Improved outcomes from adding sequential Paclitaxel but not from escalating Doxorubicin dose in an adjuvant chemotherapy regimen for patients with node-positive primary breast cancer.

Authors:  I Craig Henderson; Donald A Berry; George D Demetri; Constance T Cirrincione; Lori J Goldstein; Silvana Martino; James N Ingle; M Robert Cooper; Daniel F Hayes; Katherine H Tkaczuk; Gini Fleming; James F Holland; David B Duggan; John T Carpenter; Emil Frei; Richard L Schilsky; William C Wood; Hyman B Muss; Larry Norton
Journal:  J Clin Oncol       Date:  2003-03-15       Impact factor: 44.544

8.  Coexpression of HER-2/neu and p53 is associated with a shorter disease-free survival in node-positive breast cancer patients.

Authors:  C Wiltschke; I Kindas-Muegge; A Steininger; A Reiner; G Reiner; P N Preis
Journal:  J Cancer Res Clin Oncol       Date:  1994       Impact factor: 4.553

9.  Prognostic significance of p53, bcl-2, and Bax expression in early breast cancer.

Authors:  Ayman Linjawi; Maria Kontogiannea; Fawaz Halwani; Michael Edwardes; Sarkis Meterissian
Journal:  J Am Coll Surg       Date:  2004-01       Impact factor: 6.113

10.  Coexistence of HER2 over-expression and p53 protein accumulation is a strong prognostic molecular marker in breast cancer.

Authors:  Hiroko Yamashita; Mariko Nishio; Tatsuya Toyama; Hiroshi Sugiura; Zhenhuan Zhang; Shunzo Kobayashi; Hirotaka Iwase
Journal:  Breast Cancer Res       Date:  2003-11-07       Impact factor: 6.466

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  18 in total

Review 1.  Adjuvant chemotherapy for early female breast cancer: a systematic review of the evidence for the 2014 Cancer Care Ontario systemic therapy guideline.

Authors:  S Gandhi; G G Fletcher; A Eisen; M Mates; O C Freedman; S F Dent; M E Trudeau
Journal:  Curr Oncol       Date:  2015-03       Impact factor: 3.677

2.  Prognostic effect of p53 expression in patients with completely resected colorectal cancer.

Authors:  Bin-Wei Liu; Yang Liu; Jun-Ru Liu; Zhong-Xu Feng; Tong Liu
Journal:  Tumour Biol       Date:  2014-07-04

3.  Polymorphisms in the DNA repair gene ERCC2/XPD and breast cancer risk: a HapMap-based case-control study among Han Women in a Chinese less-developed area.

Authors:  Tao Wang; Haitao Wang; Hongyun Guo; Suisheng Yang; Gongjian Zhu; Huan Guo; Lan Wang; Yonghui Li; Kai Yang; Haining Li; Jianping Min; Xueping Li; Qingrong Hu; Yumei Wang; Ying Liu; Binming Zhang; Xuezhong Chen; Haixiang Su
Journal:  Genet Test Mol Biomarkers       Date:  2014-08-12

4.  Nontoxic virus nanofibers improve the detection sensitivity for the anti-p53 antibody, a biomarker in cancer patients.

Authors:  Pengtao Pan; Yicun Wang; Ye Zhu; Xiang Gao; Zhigang Ju; Penghe Qiu; Li Wang; Chuanbin Mao
Journal:  Nano Res       Date:  2015-08-15       Impact factor: 8.897

Review 5.  Use of Biomarkers to Guide Decisions on Adjuvant Systemic Therapy for Women With Early-Stage Invasive Breast Cancer: American Society of Clinical Oncology Clinical Practice Guideline.

Authors:  Lyndsay N Harris; Nofisat Ismaila; Lisa M McShane; Fabrice Andre; Deborah E Collyar; Ana M Gonzalez-Angulo; Elizabeth H Hammond; Nicole M Kuderer; Minetta C Liu; Robert G Mennel; Catherine Van Poznak; Robert C Bast; Daniel F Hayes
Journal:  J Clin Oncol       Date:  2016-02-08       Impact factor: 44.544

6.  Prognostic and predictive value of TP53 mutations in node-positive breast cancer patients treated with anthracycline- or anthracycline/taxane-based adjuvant therapy: results from the BIG 02-98 phase III trial.

Authors:  Lynnette Fernández-Cuesta; Catherine Oakman; Priscila Falagan-Lotsch; Ke-Seay Smoth; Emmanuel Quinaux; Marc Buyse; M Stella Dolci; Evandro De Azambuja; Pierre Hainaut; Patrizia Dell'orto; Denis Larsimont; Prudence A Francis; John Crown; Martine Piccart-Gebhart; Giuseppe Viale; Angelo Di Leo; Magali Olivier
Journal:  Breast Cancer Res       Date:  2012-05-02       Impact factor: 6.466

7.  Distinguishing Low-Risk Luminal A Breast Cancer Subtypes with Ki-67 and p53 Is More Predictive of Long-Term Survival.

Authors:  Se Kyung Lee; Soo Youn Bae; Jun Ho Lee; Hyun-Chul Lee; Hawoo Yi; Won Ho Kil; Jeong Eon Lee; Seok Won Kim; Seok Jin Nam
Journal:  PLoS One       Date:  2015-08-04       Impact factor: 3.240

8.  The impact of p53 in predicting clinical outcome of breast cancer patients with visceral metastasis.

Authors:  P Yang; C W Du; M Kwan; S X Liang; G J Zhang
Journal:  Sci Rep       Date:  2013       Impact factor: 4.379

9.  Subtype classification for prediction of prognosis of breast cancer from a biomarker panel: correlations and indications.

Authors:  Chuang Chen; Jing-Ping Yuan; Wen Wei; Yi Tu; Feng Yao; Xue-Qin Yang; Jin-Zhong Sun; Sheng-Rong Sun; Yan Li
Journal:  Int J Nanomedicine       Date:  2014-02-21

10.  Prognostic interaction between expression of p53 and estrogen receptor in patients with node-negative breast cancer: results from IBCSG Trials VIII and IX.

Authors:  Alan S Coates; Ewan K A Millar; Sandra A O'Toole; Timothy J Molloy; Giuseppe Viale; Aron Goldhirsch; Meredith M Regan; Richard D Gelber; Zhuoxin Sun; Monica Castiglione-Gertsch; Barry Gusterson; Elizabeth A Musgrove; Robert L Sutherland
Journal:  Breast Cancer Res       Date:  2012-11-05       Impact factor: 6.466

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