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http://dx.doi.org/10.7314/APJCP.2014.15.12.4839

Estimation of the Cure Rate in Iranian Breast Cancer Patients  

Rahimzadeh, Mitra (Alborz University of Medical Sciences)
Baghestani, Ahmad Reza (Department of Biostatistics, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences)
Gohari, Mahmood Reza (Hospital management Research Center, Iran University of Medical Sciences)
Pourhoseingholi, Mohamad Amin (Gastroenterology and Liver Diseases Research Center, Shahid Beheshti University of Medical Sciences)
Publication Information
Asian Pacific Journal of Cancer Prevention / v.15, no.12, 2014 , pp. 4839-4842 More about this Journal
Abstract
Background: Although the Cox's proportional hazard model is the popular approach for survival analysis to investigate significant risk factors of cancer patient survival, it is not appropriate in the case of log-term disease free survival. Recently, cure rate models have been introduced to distinguish between clinical determinants of cure and variables associated with the time to event of interest. The aim of this study was to use a cure rate model to determine the clinical associated factors for cure rates of patients with breast cancer (BC). Materials and Methods: This prospective cohort study covered 305 patients with BC, admitted at Shahid Faiazbakhsh Hospital, Tehran, during 2006 to 2008 and followed until April 2012. Cases of patient death were confirmed by telephone contact. For data analysis, a non-mixed cure rate model with Poisson distribution and negative binomial distribution were employed. All analyses were carried out using a developed Macro in WinBugs. Deviance information criteria (DIC) were employed to find the best model. Results: The overall 1-year, 3-year and 5-year relative survival rates were 97%, 89% and 74%. Metastasis and stage of BC were the significant factors, but age was significant only in negative binomial model. The DIC also showed that the negative binomial model had a better fit. Conclusions: This study indicated that, metastasis and stage of BC were identified as the clinical criteria for cure rates. There are limited studies on BC survival which employed these cure rate models to identify the clinical factors associated with cure. These models are better than Cox, in the case of long-term survival.
Keywords
Breast cancer; long-term survival analysis; cure rate model;
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1 Chen MH, Ibrahim JG, Sinha D (1999). A new Bayesian model for survival data with a surviving fraction. J Am Stat Assoc, 94, 909-19.   DOI   ScienceOn
2 Borges P, Rodrigues J, Balakrishnan N (2012). Correlated destructive generalized power series cure rate models and associated inference with an application to a cutaneous melanoma data. Comput Stat Data Anal, 56, 1703-13.   DOI   ScienceOn
3 Bray F, McCarron P, Parkin DM (2004). The changing global patterns of female breast cancer incidence and mortality. Breast Cancer Res, 6, 229-39.   DOI   ScienceOn
4 Cancho VG, Louzada-Neto F, Ortega EMM (2013). The Power Series Cure Rate Model: An Application to a Cutaneous Melanoma Data. Communications in Statistics - Simulation and Computation, 42, 586-602.   DOI
5 Cooner F, Banerjee S, Carlin BP, Sinha D (2007). Flexible cure rate modeling under latent activation schemes. J Am Stat Assoc, 102, 560-72.   DOI   ScienceOn
6 Dickman PW, Hakulinen T (2000). Population-based cancer survival analysis (Statistics in Practice Series). New Jersey, John Wiley.
7 Elmore JG, Armstrong K, Lehman CD, Fletcher SW (2005). Screening for breast cancer. JAMA, 293, 1245-56.   DOI   ScienceOn
8 Fouladi N, Amani F, Harghi AS, Nayebyazdi N (2011). Five year survival of women with breast cancer in Ardabil, north-west of Iran. Asian Pac J Cancer Prev, 12, 1799-801.
9 Gakwaya A, Kigula-Mugambe JB, Kavuma A, et al (2008). Cancer of the breast: 5-year survival in a tertiary hospital in Uganda. Br J Cancer, 99, 63-7.   DOI   ScienceOn
10 Haghighat S, Akbari ME, Ghaffari S, Yavari P (2012). Standardized breast cancer mortality rate compared to the general female population of Iran. Asian Pac J Cancer Prev, 13, 5525-8.   과학기술학회마을   DOI   ScienceOn
11 Abdullah NA, Wan Mahiyuddin WR, Muhammad NA et al (2013). Survival rate of breast cancer patients in Malaysia: a population-based study. Asian Pac J Cancer Prev, 14, 4591-4.   과학기술학회마을   DOI   ScienceOn
12 Al-Naggar RA, Isa ZM, Shah SA, et al (2009). Eight year survival among breast cancer Malaysian women from University Kebangsaan Malaysia Medical Centre. Asian Pac J Cancer Prev, 10, 1075-8.
13 Arkoob K, Al-Nsour M, Al-Nemry O, Al-Hajawi B (2010). Epidemiology of breast cancer in women in Jordan: patient characteristics and survival analysis. East Mediterr Health J, 16, 1032-8.
14 Asano J, Hirakawa A, Hamada C, et al (2013). Use of Cox's cure model to establish clinical determinants of long-term disease-free survival in neoadjuvant-chemotherapy-treated breast cancer patients without pathologic complete response. Int J Breast Cancer, ???? 354579.
15 Babaee GH, Feyzi A, Keshavarz M (2005). Study effect of various therapeutic and surgery methods on survival rate in breast cancer. J Daneshvar, 59, 19-28 (in Persian).
16 Mohagheghi MA, Mosavi-Jarrahi A, Malekzadeh R, Parkin M (2009). Cancer incidence in Tehran Metropolis: The first report from the Tehran population-based cancer registry, 1998-2001. Arch Iran Med, 12, 15-23.
17 Tomohiro A (2007). Bayesian predictive information criterion for the evaluation of hierarchical Bayesian and empirical Bayes models. Biometrika, 94, 443-58.   DOI
18 Yaghmayee S, Banihashemi Gh, Ghorbani R (2007). Study survival rate and effective cause om survival rate in women with breast cancer reffred to Semnan hospital in 1991-2002: using Cox regression. J Semnan Univ Med Sci, 9, 111-5 (in Persian).
19 Hoerger TJ, Ekwueme DU, Miller JW, et al (2011). Estimated effects of the national breast and cervical cancer early detection program on breast cancer mortality. Am J Prev Med, 40, 397-404.   DOI   ScienceOn
20 Lee JH, Yim SH, Won YJ, et al (2007). Population-based breast cancer statistics in Korea during 1993_2002: incidence, mortality, and survival. J Korean Med Sci, 22, 11-6.   DOI
21 Moore MA, Eser S, Igisinov N, et al (2010). Cancer epidemiology and control in North-Western and Central Asia - past, present and future. Asian Pac J Cancer Prev, 11 Suppl , 17-32.
22 Najafi B, Anvari S, Roshan ZA (2013).Disease free survival among molecular subtypes of early stage breast cancer between 2001 and 2010 in Iran. Asian Pac J Cancer Prev, 14, 5811-6.   과학기술학회마을   DOI
23 Park SK, Kim Y, Kang D, Jung EJ, Yoo KY (2011). Risk factors and control strategies for the rapidly rising rate of breast cancer in Korea. J Breast Cancer, 14, 79-87.   DOI   ScienceOn
24 Parkin DM, Bray F, Ferlay J, Pisani P (2005). Global cancer statistics, 2002. CA Cancer J Clin, 55, 74-108.   DOI   ScienceOn
25 Sadjadi A, Nouraie M, Mohagheghi MA, et al (2005). Cancer occurrence in Iran in 2002, an international perspective. Asian Pac J Cancer Prev, 6, 359-63.
26 Taghavi A, Fazeli Z, Vahedi M, et al (2012). Increased trend of breast cancer mortality in Iran. Asian Pac J Cancer Prev, 13, 367-70.   과학기술학회마을   DOI   ScienceOn
27 Yakovlev AY, Tsodikov AD (1996). Stochastic Models of Tumor Latency and Their Biostatistical Applications,World Scientific, Singapore, Hackensack, NJ.
28 Mousavi SM, Montazeri A, Mohagheghi MA, et al (2007). Breast cancer in Iran: an epidemiological review. Breast J, 13, 383-91.   DOI   ScienceOn