Literature DB >> 23460246

The prognostic impact of age in patients with triple-negative breast cancer.

Cornelia Liedtke1, K R Hess, T Karn, A Rody, L Kiesel, G N Hortobagyi, L Pusztai, A M Gonzalez-Angulo.   

Abstract

The purpose of this study was to assess the prognostic impact of age in patients with triple-negative breast cancer (TNBC). 1,732 patients with primary TNBC were analyzed. Five age cohorts (≤30, 31-40, 41-50, 51-60, and >60 years) at diagnosis were correlated with clinical/pathological parameters. Univariate and multivariate analyses were used to examine the effect of age on disease-free (DFS), distant disease-free (DDFS), and overall survival (OS). In patients with TNBC, increasing age at diagnosis was inversely correlated with tumor grade (P < 0.0001); likelihood of being non-Caucasian (P = 0.0001); likelihood of getting chemotherapy (P < 0.0001); and positively correlated with DFS (P = 0.0003); DDFS (P < 0.0001); and OS (P < 0.0001). The median DFS for patients 31-40 and older than 60 years was 4 years [95 % confidence interval (95 % CI) 2-5] and 8 years (95 % CI 5-14, respectively, P = 0.0003). The DDFS and OS were also statistically significantly shorter for younger patients. In multivariate analysis, tumor size, nodal stage, tumor grade, and age remained significant independent prognostic variables. Clinical characteristics of TNBC differ by age group, patients ≤40 years have poorer survival despite more aggressive systemic therapy.

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Year:  2013        PMID: 23460246     DOI: 10.1007/s10549-013-2461-x

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  24 in total

1.  The Treatment of Primary Breast Cancer in Older Women With Adjuvant Therapy: A Retrospective Analysis of Data From Over 3000 Patients From the PATH Biobank, With Two-Year Follow-up.

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2.  Prognostic value of Ki-67 according to age in patients with triple-negative breast cancer.

Authors:  V Zenzola; M A Cabezas-Quintario; M Arguelles; E Pérez-Fernández; Y Izarzugaza; A Correa; J García-Foncillas
Journal:  Clin Transl Oncol       Date:  2018-04-18       Impact factor: 3.405

3.  Evaluation of Local and Distant Recurrence Patterns in Patients with Triple-Negative Breast Cancer According to Age.

Authors:  Julia C Radosa; Anne Eaton; Michelle Stempel; Amrin Khander; Cornelia Liedtke; Erich-Franz Solomayer; Maria Karsten; Melissa Pilewskie; Monica Morrow; Tari A King
Journal:  Ann Surg Oncol       Date:  2016-10-25       Impact factor: 5.344

4.  Varying outcomes of triple-negative breast cancer in different age groups-prognostic value of clinical features and proliferation.

Authors:  H Vihervuori; K Korpinen; T A Autere; H Repo; K Talvinen; P Kronqvist
Journal:  Breast Cancer Res Treat       Date:  2022-10-19       Impact factor: 4.624

Review 5.  Genomic profiling in triple-negative breast cancer.

Authors:  Cornelia Liedtke; Christof Bernemann; Ludwig Kiesel; Achim Rody
Journal:  Breast Care (Basel)       Date:  2013-12       Impact factor: 2.860

6.  Cripto-1 in TNBC.

Authors:  Nadia P Castro; David S Salomon
Journal:  Aging (Albany NY)       Date:  2015-08       Impact factor: 5.682

7.  Triple-negative breast cancer risk in women is defined by the defect of estrogen signaling: preventive and therapeutic implications.

Authors:  Zsuzsanna Suba
Journal:  Onco Targets Ther       Date:  2014-01-23       Impact factor: 4.147

8.  Prognostic impact of breast cancer subtypes in elderly patients.

Authors:  E S Bergen; C Tichy; A S Berghoff; M Rudas; P Dubsky; Z Bago-Horvath; R M Mader; R Exner; M Gnant; C C Zielinski; G G Steger; M Preusser; R Bartsch
Journal:  Breast Cancer Res Treat       Date:  2016-04-23       Impact factor: 4.872

9.  EGFR expression is associated with cytoplasmic staining of CXCR4 and predicts poor prognosis in triple-negative breast carcinomas.

Authors:  Rong-Hui Li; Wen-He Huang; Jun-Dong Wu; Cai-Wen Du; Guo-Jun Zhang
Journal:  Oncol Lett       Date:  2016-12-12       Impact factor: 2.967

10.  Long-term outcome in young women with breast cancer: a population-based study.

Authors:  Hanna Fredholm; Kristina Magnusson; Linda S Lindström; Hans Garmo; Sonja Eaker Fält; Henrik Lindman; Jonas Bergh; Lars Holmberg; Fredrik Pontén; Jan Frisell; Irma Fredriksson
Journal:  Breast Cancer Res Treat       Date:  2016-09-13       Impact factor: 4.872

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