Literature DB >> 16397038

Prognostic and predictive effects of immunohistochemical factors in high-risk primary breast cancer patients.

Nicolaus Kröger1, Karin Milde-Langosch, Sabine Riethdorf, Claudia Schmoor, Martin Schumacher, Axel R Zander, Thomas Löning.   

Abstract

PURPOSE: To analyze prognostic and predictive effects of immunohistochemical factors within a randomized study of high-dose versus standard-dose chemotherapy in high-risk breast cancer with >10 involved lymph nodes. EXPERIMENTAL
DESIGN: Histopathologic specimens in 188 of 302 patients were analyzed for Ki-67, p16, maspin, Bcl-2, Her2/neu, and p53.
RESULTS: In a univariate analysis after adjustment for therapy, tumor size, and estrogen receptor, Her2/neu positivity (P = 0.001) was a negative and Bcl2 positivity (P = 0.003) was a positive prognostic factor for event-free survival. In a multivariate analysis, Her2/neu positivity (hazard ratio, 3.68; 95% confidence interval, 2.01-6.73; P = 0.0001) had a negative influence on event-free survival, whereas p53 positivity (hazard ratio, 0.57; 95% confidence interval, 0.34-0.95; P = 0.03) and Bcl2 positivity (hazard ratio, 0.35; 95% confidence interval, 0.19-0.64; P = 0.0006) were associated with a better event-free survival. Analyzing the predictive effect of the immunohistochemical factors, an interaction between p53 and treatment could be shown (P = 0.005). The hazard ratio for high-dose chemotherapy versus standard chemotherapy is estimated as 2.3 (95% confidence interval, 0.67-7.92) in p53-negative patients and as 0.46 (95% confidence interval, 0.2-1.07) in p53-positive patients, which indicates a superiority of high-dose chemotherapy in p53-positive patients and an inferiority in p53-negative patients. No interactive effect could be shown for the other factors.
CONCLUSIONS: Her2/neu and Bcl-2 are prognostic but not predictive factors in patients with high-risk primary breast cancer; p53-positive patients might benefit more from high-dose chemotherapy than from standard chemotherapy, and p53-negative patients might benefit more from standard chemotherapy than from high-dose therapy.

Entities:  

Mesh:

Substances:

Year:  2006        PMID: 16397038     DOI: 10.1158/1078-0432.CCR-05-1340

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


  24 in total

1.  Bcl-2 expression and triple negative profile in breast carcinoma.

Authors:  Imen Kallel-Bayoudh; Hanen Ben Hassen; Abdelmajid Khabir; Noureddine Boujelbene; Jamel Daoud; Mounir Frikha; Tahia Sallemi-Boudawara; Sami Aifa; Ahmed Rebaï
Journal:  Med Oncol       Date:  2010-10-02       Impact factor: 3.064

2.  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

3.  Prognostic value of bcl-2 expression among women with breast cancer in Libya.

Authors:  Eramah Ermiah; Abdelbaset Buhmeida; Ben Romdhane Khaled; Fathi Abdalla; Nada Salem; Seppo Pyrhönen; Yrjö Collan
Journal:  Tumour Biol       Date:  2013-02-16

4.  Analysis of Clinical Features and Outcome of 356 Triple-Negative Breast Cancer Patients in China.

Authors:  Li Zhang; Chunfang Hao; Guolei Dong; Zhongsheng Tong
Journal:  Breast Care (Basel)       Date:  2012-02-13       Impact factor: 2.860

5.  Tumor Microvessel Density as a Prognostic Marker in High-Risk Renal Cell Carcinoma Patients Treated on ECOG-ACRIN E2805.

Authors:  Lucia B Jilaveanu; Maneka Puligandla; Sarah A Weiss; Xin Victoria Wang; Christopher Zito; Keith T Flaherty; Marta Boeke; Veronique Neumeister; Robert L Camp; Adebowale Adeniran; Michael Pins; Judith Manola; Robert S DiPaola; Naomi B Haas; Harriet M Kluger
Journal:  Clin Cancer Res       Date:  2017-10-24       Impact factor: 12.531

Review 6.  Role of HER2-neu as a prognostic factor for survival and relapse in pT1a-bN0M0 breast cancer: a systematic review of the literature with a pooled-analysis.

Authors:  F Petrelli; S Barni
Journal:  Med Oncol       Date:  2012-03-14       Impact factor: 3.064

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

Authors:  Jonathan F Lara; 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
Journal:  Clin Cancer Res       Date:  2011-06-21       Impact factor: 12.531

8.  Use of Biomarkers to Guide Decisions on Systemic Therapy for Women With Metastatic Breast Cancer: American Society of Clinical Oncology Clinical Practice Guideline.

Authors:  Catherine Van Poznak; Mark R Somerfield; Robert C Bast; Massimo Cristofanilli; Matthew P Goetz; Ana M Gonzalez-Angulo; David G Hicks; Elizabeth G Hill; Minetta C Liu; Wanda Lucas; Ingrid A Mayer; Robert G Mennel; William F Symmans; Daniel F Hayes; Lyndsay N Harris
Journal:  J Clin Oncol       Date:  2015-07-20       Impact factor: 44.544

9.  p53-mediated senescence impairs the apoptotic response to chemotherapy and clinical outcome in breast cancer.

Authors:  James G Jackson; Vinod Pant; Qin Li; Leslie L Chang; Alfonso Quintás-Cardama; Daniel Garza; Omid Tavana; Peirong Yang; Taghi Manshouri; Yi Li; Adel K El-Naggar; Guillermina Lozano
Journal:  Cancer Cell       Date:  2012-06-12       Impact factor: 31.743

Review 10.  Tailoring to RB: tumour suppressor status and therapeutic response.

Authors:  Erik S Knudsen; Karen E Knudsen
Journal:  Nat Rev Cancer       Date:  2008-09       Impact factor: 60.716

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.