International Journal of Cancer Management

Published by: Kowsar

Analyzing Relationship Between Local and Metastasis Relapses with Survival of Patients with Breast Cancer: A Study Using Joint Frailty Model

Freshteh Osmani 1 , * , Ebrahim Hajizadeh 1 , Aliakbar Rasekhi 1 and Mohammad Esmaeil Akbari 2
Authors Information
1 Department of Biostatistic, Faculty of Medical Science, Tarbiat Modares University, Tehran, Iran
2 Cancer Research Center, Shahid Beheshti Uiversity of Medical Sciences, Tehran, Iran
Article information
  • International Journal of Cancer Management: December 2018, 11 (12); e81783
  • Published Online: November 20, 2018
  • Article Type: Research Article
  • Received: July 6, 2018
  • Revised: October 21, 2018
  • Accepted: October 28, 2018
  • DOI: 10.5812/ijcm.81783

To Cite: Osmani F, Hajizadeh E, Rasekhi A, Akbari M E. Analyzing Relationship Between Local and Metastasis Relapses with Survival of Patients with Breast Cancer: A Study Using Joint Frailty Model, Int J Cancer Manag. 2018 ; 11(12):e81783. doi: 10.5812/ijcm.81783.

Abstract
Copyright © 2018, Author(s). This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/) which permits copy and redistribute the material just in noncommercial usages, provided the original work is properly cited.
1. Background
2. Objectives
3. Methods
4. Results
5. Discussion
Acknowledgements
Footnotes
References
  • 1. Cook RJ, Lawless JF. The statistical analysis of recurrent events. Springer Science & Business Media; 2007. doi: 10.1007/978-0-387-69810-6.
  • 2. Osmani F, Hajizadeh E, Mansoori P. [Use of smoothing methods for estimating the coefficients of time dependent rate models in survival analysis and its application in psoriasis disease]. Iran J Epidemiol. 2016;12(3):36-46. Persian.
  • 3. Liu L, Huang X. Joint analysis of correlated repeated measures and recurrent events processes in the presence of death, with application to a study on acquired immune deficiency syndrome. J R Stat Soc C App Stat. 2009;58(1):65-81. doi: 10.1111/j.1467-9876.2008.00641.x.
  • 4. Cancer Genome Atlas N. Comprehensive molecular portraits of human breast tumours. Nature. 2012;490(7418):61-70. doi: 10.1038/nature11412. [PubMed: 23000897]. [PubMed Central: PMC3465532].
  • 5. Montagna E, Bagnardi V, Rotmensz N, Viale G, Renne G, Cancello G, et al. Breast cancer subtypes and outcome after local and regional relapse. Ann Oncol. 2012;23(2):324-31. doi: 10.1093/annonc/mdr129. [PubMed: 21525402].
  • 6. O'Shaughnessy J. Extending survival with chemotherapy in metastatic breast cancer. Oncologist. 2005;10 Suppl 3:20-9. doi: 10.1634/theoncologist.10-90003-20. [PubMed: 16368868].
  • 7. Prentice RL, Williams BJ, Peterson AV. On the regression analysis of multivariate failure time data. Biometrika. 1981;68(2):373-9. doi: 10.1093/biomet/68.2.373.
  • 8. Andersen PK, Gill RD. Cox's regression model for counting processes: A large sample study. Ann Stat. 1982;10(4):1100-20. doi: 10.1214/aos/1176345976.
  • 9. Zeng D, Lin DY. Efficient estimation of semiparametric transformation models for counting processes. Biometrika. 2006;93(3):627-40. doi: 10.1093/biomet/93.3.627.
  • 10. Wei LJ, Lin DY, Weissfeld L. Regression analysis of multivariate incomplete failure time data by modeling marginal distributions. J Am Stat Assoc. 1989;84(408):1065-73. doi: 10.1080/01621459.1989.10478873.
  • 11. Lee EW, Wei LJ, Amato DA, Leurgans S. Cox-type regression analysis for large numbers of small groups of correlated failure time observations. Survival analysis: State of the art. Netherlands: Springer; 1992. p. 237-47. doi: 10.1007/978-94-015-7983-4_14.
  • 12. Huang CY, Wang MC. Joint modeling and estimation for recurrent event processes and failure time data. J Am Stat Assoc. 2004;99(468):1153-65. [PubMed: 24068850]. [PubMed Central: PMC3780991].
  • 13. Ye Y, Kalbfleisch JD, Schaubel DE. Semiparametric analysis of correlated recurrent and terminal events. Biometrics. 2007;63(1):78-87. doi: 10.1111/j.1541-0420.2006.00677.x. [PubMed: 17447932].
  • 14. Cook RJ, Lawless JF, Lakhal-Chaieb L, Lee KA. Robust estimation of mean functions and treatment effects for recurrent events under event-dependent censoring and termination: Application to skeletal complications in cancer metastatic to bone. J Am Stat Assoc. 2009;104(485):60-75. doi: 10.1198/jasa.2009.0004.
  • 15. Huang X, Liu L. A joint frailty model for survival and gap times between recurrent events. Biometrics. 2007;63(2):389-97. doi: 10.1111/j.1541-0420.2006.00719.x. [PubMed: 17688491].
  • 16. Mazroui Y, Mathoulin-Pelissier S, Macgrogan G, Brouste V, Rondeau V. Multivariate frailty models for two types of recurrent events with a dependent terminal event: Application to breast cancer data. Biom J. 2013;55(6):866-84. doi: 10.1002/bimj.201200196. [PubMed: 23929494].
  • 17. DeSantis C, Siegel R, Bandi P, Jemal A. Breast cancer statistics, 2011. CA Cancer J Clin. 2011;61(6):409-18. doi: 10.3322/caac.20134. [PubMed: 21969133].
  • 18. Wu X, Baig A, Kasymjanova G, Kafi K, Holcroft C, Mekouar H, et al. Pattern of local recurrence and distant metastasis in breast cancer by molecular subtype. Cureus. 2016;8(12). e924. doi: 10.7759/cureus.924. [PubMed: 28090417]. [PubMed Central: PMC5222631].
  • 19. Elkhuizen PHM, van de Vijver MJ, Hermans J, Zonderland HM, van de Velde CJH, Leer JWH. Local recurrence after breast-conserving therapy for invasive breast cancer: High incidence in young patients and association with poor survival. Int J Radiat Oncol Biol Phys. 1998;40(4):859-67. doi: 10.1016/s0360-3016(97)00917-6.
  • 20. Monteiro-Grillo I, Marques-Vidal P, Jorge M. Psychosocial effect of mastectomy versus conservative surgery in patients with early breast cancer. Clin Transl Oncol. 2005;7(11):499-503. [PubMed: 16373061].
  • 21. Wapnir IL, Anderson SJ, Mamounas EP, Geyer CE Jr, Jeong JH, Tan-Chiu E, et al. Prognosis after ipsilateral breast tumor recurrence and locoregional recurrences in five National Surgical Adjuvant Breast and Bowel Project node-positive adjuvant breast cancer trials. J Clin Oncol. 2006;24(13):2028-37. doi: 10.1200/JCO.2005.04.3273. [PubMed: 16648502].
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