- Volume 16 Issue 17
DOI QR Code
Fitting Cure Rate Model to Breast Cancer Data of Cancer Research Center
- Baghestani, Ahmad Reza (Department of Biostatistics, School of Allied Medical Sciences, Shahid Beheshti University of Medical sciences) ;
- Zayeri, Farid (Department of Biostatistics, School of Allied Medical Sciences, Shahid Beheshti University of Medical sciences) ;
- Akbari, Mohammad Esmaeil (Cancer Research Center, Shahid Beheshti University of Medical sciences) ;
- Shojaee, Leyla (Cancer Research Center, Shahid Beheshti University of Medical sciences) ;
- Khadembashi, Naghmeh (Department of Englishsh language, School of Allied Medical Sciences, Shahid Beheshti University of Medical sciences) ;
- Shahmirzalou, Parviz (Cancer Research Center, Shahid Beheshti University of Medical sciences)
- Published : 2015.12.03
Background: The Cox PH model is one of the most significant statistical models in studying survival of patients. But, in the case of patients with long-term survival, it may not be the most appropriate. In such cases, a cure rate model seems more suitable. The purpose of this study was to determine clinical factors associated with cure rate of patients with breast cancer. Materials and Methods: In order to find factors affecting cure rate (response), a non-mixed cure rate model with negative binomial distribution for latent variable was used. Variables selected were recurrence cancer, status for HER2, estrogen receptor (ER) and progesterone receptor (PR), size of tumor, grade of cancer, stage of cancer, type of surgery, age at the diagnosis time and number of removed positive lymph nodes. All analyses were performed using PROC MCMC processes in the SAS 9.2 program. Results: The mean (SD) age of patients was equal to 48.9 (11.1) months. For these patients, 1, 5 and 10-year survival rates were 95, 79 and 50 percent respectively. All of the mentioned variables were effective in cure fraction. Kaplan-Meier curve showed cure model's use competence. Conclusions: Unlike other variables, existence of ER and PR positivity will increase probability of cure in patients. In the present study, Weibull distribution was used for the purpose of analysing survival times. Model fitness with other distributions such as log-N and log-logistic and other distributions for latent variable is recommended.
Breast neoplasms;cure fraction;cure rate model;negative binomial distribution;survival analysis
- Abdullah NA, Wan Mahiyuddin WR, Muhammad NA, et al (2014). Survival rate of breast cancer patients in Malaysia: a population-based study. Asian Pac J Cancer Prev, 14, 4591-4.
- Acil H, Cavdar I (2014). Comparison of quality of life of Turkish breast cancer patients receiving breast conserving surgery or modified radical mastectomy. Asian Pac J Cancer Prev, 15, 5377-81. https://doi.org/10.7314/APJCP.2014.15.13.5377
- Akhtar M, Dasgupta S, Rangwala M (2015). Triple negative breast cancer: an Indian perspective. Breast Cancer : Targets Therapy, 7, 239-43.
- 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.
- Asif HM, Sultana S, Akhtar N, et al (2014). Prevalence, risk factors and disease knowledge of breast cancer in Pakistan. Asian Pac J Cancer Prev, 15, 4411-6. https://doi.org/10.7314/APJCP.2014.15.11.4411
- Baghestani AR, Shahmirzalou P, Zayeri F, Akbari ME, Hadizadeh M (2015). Prognostic factors for survival in patients with breast cancer referred to omitted cancer research center in Iran. Asian Pac J Cancer Prev, 16, 5081-4. https://doi.org/10.7314/APJCP.2015.16.12.5081
- Bollen L, Wibmer C, Wang M, et al (2015). Molecular phenotype is associated with survival in breast cancer patients with spinal bone metastases. Clin Exp Metastasis, 32, 1-5. https://doi.org/10.1007/s10585-014-9685-y
- Cancho VG, Rodrigues J, de Castro Mr (2015). A flexible model for survival data with a cure rate: a Bayesian approach. J Applied Statistics, 38, 57-70.
- Chen X, Cong Y, Pan L, et al (2014). Luminal (Her2 negative) prognostic index and survival of breast cancer patients. Cancer Epidemiol, 38, 286-90. https://doi.org/10.1016/j.canep.2014.03.007
- Colditz GA, Bohlke K (2014). Priorities for the primary prevention of breast cancer. CA Cancer J Clin, 64, 186-94. https://doi.org/10.3322/caac.21225
- Howell A, Anderson AS, Clarke RB, et al (2014). Risk determination and prevention of breast cancer. Breast Cancer Res, 16, 446. https://doi.org/10.1186/s13058-014-0446-2
- Kaviani A, Neishaboury M, Mohammadzadeh N, et al (2013). Effects of obesity on presentation of breast cancer, lymph node metastasis and patient survival: a retrospective review. Asian Pac J Cancer Prev, 14, 2225-9. https://doi.org/10.7314/APJCP.2013.14.4.2225
- Kim Y, Yoo KY, Goodman MT (2015). Differences in incidence, mortality and survival of breast cancer by regions and countries in Asia and contributing factors. Asian Pac J Cancer Prev, 16, 2857-70. https://doi.org/10.7314/APJCP.2015.16.7.2857
- Kleinbaum DG, Klein M (2012). Survival analysis: a selflearning text. 3rd ed. New York: Springer, 246.
- Lotfnezhad Afshar H, Ahmadi M, Roudbari M, Sadoughi F (2015). Prediction of breast cancer survival through knowledge discovery in databases. Glob J Health Sci, 7, 392-8.
- Mahmood H, Faheem M, Mahmood S, et al (2015). Impact of age, tumor size, lymph node metastasis, stage, receptor status and menopausal status on overall survival of breast cancer patients in Pakistan. Asian Pac J Cancer Prev, 16, 1019-24. https://doi.org/10.7314/APJCP.2015.16.3.1019
- Mirzaee M, Azmandian J, Zeraati H, et al (2014). Short-term and long-term survival of kidney allograft: cure model analysis. Iran J Kidney Dis, 8, 225-30.
- Movahedi M, Haghighat S, Khayamzadeh M, et al (2012). Survival rate of breast cancer based on geographical variation in iran, a national study. Iran Red Crescent Med J, 14, 798-804. https://doi.org/10.5812/ircmj.3631
- 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. https://doi.org/10.7314/APJCP.2013.14.10.5811
- Narod SA (2013). Tumour size predicts long-term survival among women with lymph node-positive breast cancer. Current Oncol, 19, 249-53.
- Orang E, Marzony ET, Afsharfard A (2013). Predictive role of tumor size in breast cancer with axillary lymph node involvement - can size of primary tumor be used to omit an unnecessary axillary lymph node dissection? Asian Pac J Cancer Prev, 14, 717-22. https://doi.org/10.7314/APJCP.2013.14.2.717
- Othus M, Barlogie B, Leblanc ML, et al (2012). Cure models as a useful statistical tool for analyzing survival. Clin Cancer Res, 18, 3731-6. https://doi.org/10.1158/1078-0432.CCR-11-2859
- Rahimzadeh M, Baghestani AR, Gohari MR, et al (2014). Estimation of the cure rate in Iranian breast cancer patients. Asian Pac J Cancer Prev, 15, 4839-42. https://doi.org/10.7314/APJCP.2014.15.12.4839
- Rama R, Swaminathan R, Venkatesan P (2010). Cure models for estimating hospital-based breast cancer survival. Asian Pac J Cancer Prev, 11, 387-91.
- Sipetic-Grujicic SB, Murtezani ZH, Neskovic-Konstatinovic ZB, et al (2014). Multivariate analysis of prognostic factors in male breast cancer in Serbia. Asian Pac J Cancer Prev, 15, 3233-8. https://doi.org/10.7314/APJCP.2014.15.7.3233
- 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. https://doi.org/10.7314/APJCP.2012.13.1.367
- Veisy A, Lotfinejad S, Salehi K, et al (2015). Risk of breast cancer in relation to reproductive factors in North-West of Iran, 2013-2014. Asian Pac J Cancer Prev, 16, 451-5. https://doi.org/10.7314/APJCP.2015.16.2.451
- Veronesi U, Cascinelli N, Mariani L, et al (2002). Twentyyear follow-up of a randomized study comparing breastconserving surgery with radical mastectomy for early breast cancer. N Engl J Med, 347, 1227-32. https://doi.org/10.1056/NEJMoa020989
- Xing MY, Xu SZ, Shen P (2014). Effect of low-fat diet on breast cancer survival: a meta-analysis. Asian Pac J Cancer Prev, 15, 1141-4. https://doi.org/10.7314/APJCP.2014.15.3.1141
- Zeichner SB, Cavalcante L, Suciu GP, et al (2014). Long-term survival of women with locally advanced breast cancer with >/= 10 involved lymph nodes at diagnosis. Asian Pac J Cancer Prev, 15, 3435-41. https://doi.org/10.7314/APJCP.2014.15.8.3435
- Ziaei JE, Sanaat Z, Asvadi I, et al (2013). Survival analysis of breast cancer patients in northwest Iran. Asian Pac J Cancer Prev, 14, 39-42. https://doi.org/10.7314/APJCP.2013.14.1.39
- Survival probability and prognostic factors of Iranian breast cancer patients using cure rate model pp.1075122X, 2018, https://doi.org/10.1111/tbj.13120