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Published in: Breast Cancer Research and Treatment 1/2010

01-08-2010 | Epidemiology

Population-based survival-cure analysis of ER-negative breast cancer

Authors: Lan Huang, Karen A. Johnson, Angela B. Mariotto, James J. Dignam, Eric J. Feuer

Published in: Breast Cancer Research and Treatment | Issue 1/2010

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Abstract

This study investigated the trends over time in age and stage specific population-based survival of estrogen receptor negative (ER−) breast cancer patients by examining the fraction of cured patients and the median survival time for uncured patients. Cause-specific survival data from the Surveillance, Epidemiology, and End Results program for cases diagnosed during 1992–1998 were used in mixed survival cure models to evaluate the cure fraction and the extension in survival for uncured patients. Survival trends were compared with adjuvant chemotherapy data available from an overlapping patterns-of-care study. For stage II N+ disease, the largest increase in cure fraction was 44–60% (P = 0.0257) for women aged ≥70 in contrast to a 7–8% point increase for women aged <50 or 50–69 (P = 0.056 and 0.038, respectively). For women with stage III disease, the increases in the cure fraction were not statistically significant, although women aged 50–69 had a 10% point increase (P = 0.103). Increases in cure fraction correspond with increases in the use of adjuvant chemotherapy, particularly for the oldest age group. In this article, for the first time, we estimate the cure fraction for ER− patients. We notice that at age ≥70, the accelerated increase in cure fraction from 1992 to 1998 for women with stage II N+ compared with stage III suggests a selective benefit for chemotherapy in the lower stage group.
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Literature
1.
go back to reference Early Breast Cancer Trialists’ Collaborative Group (EBCTCG), Clarke M, Coates AS, Darby SD et al (2008) Adjuvant chemotherapy in estrogen-poor breast cancer: patient-level meta-analysis of randomized trials. Lancet 371:29–40CrossRefPubMed Early Breast Cancer Trialists’ Collaborative Group (EBCTCG), Clarke M, Coates AS, Darby SD et al (2008) Adjuvant chemotherapy in estrogen-poor breast cancer: patient-level meta-analysis of randomized trials. Lancet 371:29–40CrossRefPubMed
2.
go back to reference Early Breast Cancer Trialists’ Collaborative Group (EBCTCG) (2005) Effects of chemotherapy and hormonal therapy for early breast cancer on recurrence and 15-year survival: an overview of the randomized trials. Lancet 365:1687–1717CrossRef Early Breast Cancer Trialists’ Collaborative Group (EBCTCG) (2005) Effects of chemotherapy and hormonal therapy for early breast cancer on recurrence and 15-year survival: an overview of the randomized trials. Lancet 365:1687–1717CrossRef
3.
go back to reference Vogel VG, Costantino JP, Wickerham DL, National Surgical Adjuvant Breast, Bowel Project (NSABP) et al (2006) Effects of tamoxifen vs. raloxifene on the risk of developing invasive breast cancer and other disease outcomes: the NSABP? Study of Tamoxifen and Raloxifene (STAR) P-2 trial. JAMA 295:2727–2742CrossRefPubMed Vogel VG, Costantino JP, Wickerham DL, National Surgical Adjuvant Breast, Bowel Project (NSABP) et al (2006) Effects of tamoxifen vs. raloxifene on the risk of developing invasive breast cancer and other disease outcomes: the NSABP? Study of Tamoxifen and Raloxifene (STAR) P-2 trial. JAMA 295:2727–2742CrossRefPubMed
4.
go back to reference Edwards MJ, Gamel JW, Feuer EJ (1998) Improvement in the prognosis of breast cancer from 1965 to 1984. J Clin Oncol 16:1030–1035PubMed Edwards MJ, Gamel JW, Feuer EJ (1998) Improvement in the prognosis of breast cancer from 1965 to 1984. J Clin Oncol 16:1030–1035PubMed
5.
go back to reference Yu B, Tiwari RC, Cronin KA, Feuer EJ (2004) Cure fraction estimation from the mixture models for grouped survival data. Stat Med 23:1733–1747CrossRefPubMed Yu B, Tiwari RC, Cronin KA, Feuer EJ (2004) Cure fraction estimation from the mixture models for grouped survival data. Stat Med 23:1733–1747CrossRefPubMed
6.
go back to reference Saphner T, Tormaey DC, Gray R (1996) Annual hazard rates of recurrence for breast cancer after primary therapy. J Clin Oncol 14:2738–2746PubMed Saphner T, Tormaey DC, Gray R (1996) Annual hazard rates of recurrence for breast cancer after primary therapy. J Clin Oncol 14:2738–2746PubMed
7.
go back to reference Hess KR, Pusztai L, Buzdar AU, Hortobagyi GN (2003) Estrogen receptors and distinct patterns of breast cancer relapse. Breast Cancer Res and Treat 78:105–118CrossRef Hess KR, Pusztai L, Buzdar AU, Hortobagyi GN (2003) Estrogen receptors and distinct patterns of breast cancer relapse. Breast Cancer Res and Treat 78:105–118CrossRef
8.
go back to reference Anderson WF, Chen BE, Jatoi I, Rosenberg PS (2006) Effects of estrogen receptor expression and histopathology on annual hazard rates of death from breast cancer. Breast Cancer Res Treat 100:121–126CrossRefPubMed Anderson WF, Chen BE, Jatoi I, Rosenberg PS (2006) Effects of estrogen receptor expression and histopathology on annual hazard rates of death from breast cancer. Breast Cancer Res Treat 100:121–126CrossRefPubMed
9.
go back to reference Dignam JJ, Dukic V, Anderson SJ, Mamounas EP, Wickerham DL, Womark N (2009) Hazard of recurrence and adjuvant treatment effects over time in lymph node-negative breast cancer. Breast Cancer Res Treat 116:595–602CrossRefPubMed Dignam JJ, Dukic V, Anderson SJ, Mamounas EP, Wickerham DL, Womark N (2009) Hazard of recurrence and adjuvant treatment effects over time in lymph node-negative breast cancer. Breast Cancer Res Treat 116:595–602CrossRefPubMed
10.
go back to reference Klein JP, Moeschberger ML (1997) Survival analysis: techniques for censored and truncated data, 2nd edn. Springer, New York Klein JP, Moeschberger ML (1997) Survival analysis: techniques for censored and truncated data, 2nd edn. Springer, New York
11.
go back to reference Mariotto AB, Feuer EJ, Harlan LC, Abrams J (2006) Dissemination of adjuvant multiagent chemotherapy and tamoxifen for breast cancer in the United States using estrogen receptor information: 1975–1999. J Natl Cancer Inst Mongr 36:7–15 Mariotto AB, Feuer EJ, Harlan LC, Abrams J (2006) Dissemination of adjuvant multiagent chemotherapy and tamoxifen for breast cancer in the United States using estrogen receptor information: 1975–1999. J Natl Cancer Inst Mongr 36:7–15
12.
go back to reference Yu B, Tiwari RC, Cronin KA, McDonald C, Feuer EJ (2005) CANSURV: a windows program for population-based cancer survival analysis. Comput Methods Programs Biomed 80(3):195–203CrossRefPubMed Yu B, Tiwari RC, Cronin KA, McDonald C, Feuer EJ (2005) CANSURV: a windows program for population-based cancer survival analysis. Comput Methods Programs Biomed 80(3):195–203CrossRefPubMed
13.
go back to reference Akaike H (1974) A new look at the statistical model identification. IEEE Trans Automat Control 19(6):716–723CrossRef Akaike H (1974) A new look at the statistical model identification. IEEE Trans Automat Control 19(6):716–723CrossRef
14.
go back to reference Huang L, Cronin K, Mariotto A, Feuer EJ (2008) Improved survival time: what can survival cure models tell us about population-based survival improvements in late stage colorectal, ovarian, and testicular cancer? Cancer 112(10):2289–2300CrossRefPubMed Huang L, Cronin K, Mariotto A, Feuer EJ (2008) Improved survival time: what can survival cure models tell us about population-based survival improvements in late stage colorectal, ovarian, and testicular cancer? Cancer 112(10):2289–2300CrossRefPubMed
15.
go back to reference Yabroff KR, Lamont EB, Mariotto A, Warren JL, Topor M, Meekins A, Brown ML (2008) Cost of care for elderly cancer patients in the United States. J Natl Cancer Inst 100(9):630–641CrossRefPubMed Yabroff KR, Lamont EB, Mariotto A, Warren JL, Topor M, Meekins A, Brown ML (2008) Cost of care for elderly cancer patients in the United States. J Natl Cancer Inst 100(9):630–641CrossRefPubMed
Metadata
Title
Population-based survival-cure analysis of ER-negative breast cancer
Authors
Lan Huang
Karen A. Johnson
Angela B. Mariotto
James J. Dignam
Eric J. Feuer
Publication date
01-08-2010
Publisher
Springer US
Published in
Breast Cancer Research and Treatment / Issue 1/2010
Print ISSN: 0167-6806
Electronic ISSN: 1573-7217
DOI
https://doi.org/10.1007/s10549-010-0752-z

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