Socioeconomic status and its relation with breast cancer recurrence and survival in young women in the Netherlands

被引:9
作者
van Maaren, Marissa C. [1 ,2 ]
Rachet, Bernard [3 ]
Sonke, Gabe S. [4 ]
Mauguen, Audrey [5 ]
Rondeau, Virginie [6 ]
Siesling, Sabine [1 ,2 ]
Belot, Aurelien [3 ]
机构
[1] Netherlands Comprehens Canc Org, Dept Res & Dev, Utrecht, Netherlands
[2] Univ Twente, Fac Behav Management & Social Sci, Tech Med Ctr, Dept Hlth Technol & Serv Res, Enschede, Netherlands
[3] London Sch Hyg & Trop Med, Fac Epidemiol & Populat Hlth, Dept Noncommunicable Dis Epidemiol, Inequal Canc Outcomes Network ICON, London, England
[4] Netherlands Canc Inst, Dept Med Oncol, Amsterdam, Netherlands
[5] Mem Sloan Kettering Canc Ctr, Dept Epidemiol & Biostat, 1275 York Ave, New York, NY 10021 USA
[6] Univ Bordeaux, Biostat Team, INSERM U1219, Bordeaux, France
关键词
Young breast cancer patients; Socioeconomic status; Mortality; Recurrence; Joint modelling; SOCIAL-CLASS; POPULATION; MORTALITY; IMPACT; INEQUALITIES; PATTERNS; HEALTH;
D O I
10.1016/j.canep.2022.102118
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background: Associations between socioeconomic status (SES) and breast cancer survival are most pronounced in young patients. We further investigated the relation between SES, subsequent recurrent events and mortality in breast cancer patients < 40 years. Using detailed data on all recurrences that occur between date of diagnosis of the primary tumor and last observation, we provide a unique insight in the prognosis of young breast cancer patients according to SES. Methods: All women < 40 years diagnosed with primary operated stage I-III breast cancer in 2005 were selected from the nationwide population-based Netherlands Cancer Registry. Data on all recurrences within 10 years from primary tumor diagnosis were collected directly from patient files. Recurrence patterns and absolute risks of recurrence, contralateral breast cancer (CBC) and mortality - accounting for competing risks - were analysed according to SES. Relationships between SES, recurrence patterns and excess mortality were estimated using a multivariable joint model, wherein the association between recurrent events and excess mortality (expected mortality derived from the general population) was included. Results: We included 525 patients. The 10-year recurrence risk was lowest in high SES (18.1%), highest in low SES (29.8%). Death and CBC as first events were rare. In high, medium and low SES 13.2%, 15.3% and 19.1% died following a recurrence. Low SES patients had shorter median time intervals between diagnosis, first recurrence and 10-year mortality (2.6 and 2.7 years, respectively) compared to high SES (3.5 and 3.3 years, respectively). In multivariable joint modeling, high SES was significantly related to lower recurrence rates over 10-year follow-up, compared to low SES. A strong association between the recurrent event process and excess mortality was found. Conclusions: High SES is associated with lower recurrence risks, less subsequent events and better prognosis after recurrence over 10 years than low SES. Breast cancer risk factors, adjuvant treatment adherence and treatment of recurrence may possibly play a role in this association.
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页数:8
相关论文
共 39 条
[1]   Small but significant socioeconomic inequalities in axillary staging and treatment of breast cancer in the Netherlands [J].
Aarts, M. J. ;
Hamelinck, V. C. ;
Bastiaannet, E. ;
Coebergh, J. W. W. ;
Liefers, G. J. ;
Voogd, A. C. ;
van der Sangen, M. ;
Louwman, W. J. .
BRITISH JOURNAL OF CANCER, 2012, 107 (01) :12-17
[2]  
Azrad Maria, 2014, Curr Nutr Rep, V3, P9
[3]   Socioeconomic differences in survival among breast cancer patients in the Netherlands not explained by tumor size [J].
Bastiaannet, E. ;
de Craen, A. J. M. ;
Kuppen, P. J. K. ;
Aarts, M. J. ;
van der Geest, L. G. M. ;
van de Velde, C. J. H. ;
Westendorp, R. G. J. ;
Liefers, G. J. .
BREAST CANCER RESEARCH AND TREATMENT, 2011, 127 (03) :721-727
[4]   A joint frailty model to estimate the recurrence process and the disease-specific mortality process without needing the cause of death [J].
Belot, Aurelien ;
Rondeau, Virginie ;
Remontet, Laurent ;
Giorgi, Roch .
STATISTICS IN MEDICINE, 2014, 33 (18) :3147-3166
[5]   Adjusting Expected Mortality Rates Using Information From a Control Population: An Example Using Socioeconomic Status [J].
Bower, Hannah ;
Andersson, Therese M. -L. ;
Crowther, Michael J. ;
Dickman, Paul W. ;
Lambe, Mats ;
Lambert, Paul C. .
AMERICAN JOURNAL OF EPIDEMIOLOGY, 2018, 187 (04) :828-836
[6]   The impact of socioeconomic status on survival after cancer in the United States - Findings from the National Program of Cancer Registries patterns of care study [J].
Byers, Tim E. ;
Wolf, Holly J. ;
Bauer, Katrina R. ;
Bolick-Aldrich, Susan ;
Chen, Vivien W. ;
Finch, Jack L. ;
Fulton, John P. ;
Schymura, Maria J. ;
Shen, Tiefu ;
Van Heest, Scoff ;
Yin, Xiang .
CANCER, 2008, 113 (03) :582-591
[7]   Analysis of repeated events [J].
Cook, RJ ;
Lawless, JF .
STATISTICAL METHODS IN MEDICAL RESEARCH, 2002, 11 (02) :141-166
[8]   Postcodes as useful markers of social class: population based study in 26,000 British households [J].
Danesh, J ;
Gault, S ;
Semmence, J ;
Appleby, P ;
Peto, R .
BRITISH MEDICAL JOURNAL, 1999, 318 (7187) :843-844
[9]   Socioeconomic status and breast cancer treatment [J].
Dreyer, Marie S. ;
Nattinger, Ann B. ;
McGinley, Emily L. ;
Pezzin, Liliana E. .
BREAST CANCER RESEARCH AND TREATMENT, 2018, 167 (01) :1-8
[10]   The association of socioeconomic status on treatment strategy in patients with stage I and II breast cancer in the Netherlands [J].
Filipe, M. D. ;
Siesling, S. ;
Vriens, M. R. ;
van Diest, P. ;
Witkamp, A. J. .
BREAST CANCER RESEARCH AND TREATMENT, 2021, 189 (02) :541-550