Literature DB >> 19662105

Inference of Tamoxifen's Effects on Prevention of Breast Cancer from a Randomized Controlled Trial.

Yu Shen1, Jing Qin, Joseph P Costantino.   

Abstract

The largest randomized, double-blind, placebo-controlled chemoprevention trial, the National Surgical Adjuvant Breast and Bowel Project's Breast Cancer Prevention Trial (NSABP-BCPT), evaluated the efficacy of tamoxifen in the prevention of breast cancer among women at high risk of developing the disease. The trial has reported a reduction of breast cancer incidence for the tamoxifen group. However, the effect of tamoxifen on the time to diagnosis of the disease over the six-year follow-up of the trial has not been fully explored in literature. We propose a flexible semiparametric model to assess the effects of tamoxifen on the incidence of breast cancer as well as time to the diagnosis of the disease, separately, in the framework of a cure-rate model. We used an estimating equation approach to estimating the unknown parameters, and assessed the semiparametric model assumption with a test based on the area between two survival curves. On the NSABP-BCPT data, we found that the treatment of tamoxifen has a substantial effect in the reduction of invasive breast cancer events in estrogen receptor (ER)-positive tumors, but has no effect on ER-negative tumors. Among women who were diagnosed to have ER-positive breast cancer during the study follow-up, there was little difference in terms of time to diagnosis between the two arms. However, tamoxifen may advance the time to breast cancer diagnosis for ER-negative breast cancer, while the incidence of ER-negative tumors is similar in the two treatment arms.

Entities:  

Year:  2007        PMID: 19662105      PMCID: PMC2721282          DOI: 10.1198/016214506000001446

Source DB:  PubMed          Journal:  J Am Stat Assoc        ISSN: 0162-1459            Impact factor:   5.033


  20 in total

1.  Estimation in a Cox proportional hazards cure model.

Authors:  J P Sy; J M Taylor
Journal:  Biometrics       Date:  2000-03       Impact factor: 2.571

2.  Mammographic patterns as a predictive biomarker of breast cancer risk: effect of tamoxifen.

Authors:  C Atkinson; R Warren; S A Bingham; N E Day
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  1999-10       Impact factor: 4.254

3.  A semiparametric approach for the two-sample comparison of survival times with long-term survivors.

Authors:  P Broët; Y De Rycke; P Tubert-Bitter; J Lellouch; B Asselain; T Moreau
Journal:  Biometrics       Date:  2001-09       Impact factor: 2.571

4.  Bayesian semiparametric models for survival data with a cure fraction.

Authors:  J G Ibrahim; M H Chen; D Sinha
Journal:  Biometrics       Date:  2001-06       Impact factor: 2.571

5.  Choice of test for comparing two groups, with particular application to skewed outcomes.

Authors:  Ian R White; Simon G Thompson
Journal:  Stat Med       Date:  2003-04-30       Impact factor: 2.373

6.  A proportional hazards model taking account of long-term survivors.

Authors:  A Tsodikov
Journal:  Biometrics       Date:  1998-12       Impact factor: 2.571

7.  Tamoxifen versus control after adjuvant, risk-adapted chemotherapy in postmenopausal, receptor-negative patients with breast cancer: a randomized trial (GABG-IV D-93)--the German Adjuvant Breast Cancer Group.

Authors:  Manfred Kaufmann; Erika Graf; Walter Jonat; Wolfgang Eiermann; Matthias Geberth; Ute-Susann Albert; Günther Gademann; Bettina Conrad; Karin Stahl; Gunter von Minckwitz; Martin Schumacher
Journal:  J Clin Oncol       Date:  2005-11-01       Impact factor: 44.544

8.  The use of mixture models for the analysis of survival data with long-term survivors.

Authors:  V T Farewell
Journal:  Biometrics       Date:  1982-12       Impact factor: 2.571

9.  Effect of tamoxifen on mammographic density.

Authors:  C K Chow; D Venzon; E C Jones; A Premkumar; J O'Shaughnessy; J Zujewski
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2000-09       Impact factor: 4.254

10.  Tamoxifen in treatment of intraductal breast cancer: National Surgical Adjuvant Breast and Bowel Project B-24 randomised controlled trial.

Authors:  B Fisher; J Dignam; N Wolmark; D L Wickerham; E R Fisher; E Mamounas; R Smith; M Begovic; N V Dimitrov; R G Margolese; C G Kardinal; M T Kavanah; L Fehrenbacher; R H Oishi
Journal:  Lancet       Date:  1999-06-12       Impact factor: 79.321

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  4 in total

1.  Likelihood approaches for the invariant density ratio model with biased-sampling data.

Authors:  Yu Shen; Jing Ning; Jing Qin
Journal:  Biometrika       Date:  2012-03-30       Impact factor: 2.445

2.  An Exponential Tilt Mixture Model for Time-to-Event Data to Evaluate Treatment Effect Heterogeneity in Randomized Clinical Trials.

Authors:  Chi Wang; Zhiqiang Tan; Thomas A Louis
Journal:  Biom Biostat Int J       Date:  2014-09-17

3.  Tamoxifen chemoprevention treatment and time to first diagnosis of estrogen receptor-negative breast cancer.

Authors:  Yu Shen; Joseph P Costantino; Jing Qin
Journal:  J Natl Cancer Inst       Date:  2008-10-07       Impact factor: 13.506

4.  Semiparametric density ratio modeling of survival data from a prevalent cohort.

Authors:  Hong Zhu; Jing Ning; Yu Shen; Jing Qin
Journal:  Biostatistics       Date:  2016-06-26       Impact factor: 5.279

  4 in total

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