Abstract

Research Article

Risk factors of survival in breast cancer

Akram Yazdani*

Published: 21 August, 2019 | Volume 3 - Issue 1 | Pages: 042-044

Background: In this study, we aimed to investigate the role of prognostic factors on breast cancer survival in Iran.

Methods: This study was carried out using data from 500 participants with breast cancer. Data were gathered from medical records of patients referring to four breast cancer research centers in Esfahan, Iran, between 1990 – 2000. Age at diagnosis (year), size of tumor, Involve lymph nodes, tumor grade, and family history and married were the prognosis factors considered in this study. A Cox model was used.

Results: The median follow-up period was 29.71 months with the interquartile range of 19-61 months. During the follow-up period, 57 (10%) patients died from breast. The Cox model showed that number of lymph nodes involved, and the tumor size and grade tumor are the prognostic factors survival in breast cancer.

Conclusion: This study, confirmed the importance of early diagnosis of cancer before the involvement of lymph nodes and timely treatment could lead to longer life and increased quality of life for patients.

Read Full Article HTML DOI: 10.29328/journal.acst.1001007 Cite this Article Read Full Article PDF

Keywords:

Breast cancer; Frailty model; Prognostic factor; Surviva

References

  1. Abedi G, Janbabai G, Moosazadeh M, Farshidi F, Amiri M, et al. Survival rate of breast cancer in Iran: a meta-analysis. Asian Pac J Cancer Prev. 2016; 17: 4615-4621. PubMed: https://www.ncbi.nlm.nih.gov/pubmed/27892673
  2. Ghadimi M, Mahmoodi M, Mohammad K, Zeraati H, Rasouli M, et al. Family history of the cancer on the survival of the patients with gastrointestinal cancer in northern Iran, using frailty models. BMC Gastroenterol. 2011; 11: 104. PubMed: https://www.ncbi.nlm.nih.gov/pubmed/21961837
  3. Vahdaninia M, Montazeri A. Breast cancer in Iran: a survival analysis. Asian Pac J Cancer Prev. 2004; 5: 223-225.
  4. Faradmal J, Talebi A, Rezaianzadeh A, Mahjub H. Survival analysis of breast cancer patients using cox and frailty models. J Res Health Sci. 2012; 12: 127-130. PubMed: https://www.ncbi.nlm.nih.gov/pubmed/23241526
  5. Movahedi M, Haghighat S, Khayamzadeh M, Moradi A, Ghanbari-Motlagh A, et al. Survival rate of breast cancer based on geographical variation in Iran, a national study. Iranian Red Crescent Med J. 2012; 14: 798-804. PubMed: https://www.ncbi.nlm.nih.gov/pubmed/23483369
  6. Giordano SH, Buzdar AU, Smith TL, Kau SW, Yang Y, et al. Is breast cancer survival improving? Trends in survival for patients with recurrent breast cancer diagnosed from 1974 through 2000. Cancer: Interdisciplinary International Journal of the American Cancer Society. 2004; 100: 44-52.
  7. dos Santos Figueiredo FW, Schoueri JHM, Almeida TCdC, de Carvalho LEW, Adami F. Risk factors for breast cancer mortality: Evidence from Brazil. Breast J. 2018; 24: 1129-1131. PubMed: https://www.ncbi.nlm.nih.gov/pubmed/30240101
  8. Rezaianzadeh A, Peacock J, Reidpath D, Talei A, Hosseini SV, et al. Survival analysis of 1148 women diagnosed with breast cancer in Southern Iran. BMC cancer. 2009; 9: 168. PubMed: https://www.ncbi.nlm.nih.gov/pubmed/19497131
  9. Seneviratne S, Campbell I, Scott N, Lawrenson R, Shirley R, et al. Risk factors associated with mortality from breast cancer in Waikato, New Zealand: a case-control study. Public Health. 2015; 129: 549-554. PubMed: https://www.ncbi.nlm.nih.gov/pubmed/25753278
  10. Rottenberg Y, Naeim A, Uziely B, Peretz T, Jacobs JM. Breast cancer among older women: The influence of age and cancer stage on survival. Arch Gerontol Geriatr. 2018; 76: 60-64. PubMed: https://www.ncbi.nlm.nih.gov/pubmed/29459246
  11. Nematolahi S, Rezaianzadeh A, Zare N, Akrami M, Tahmasebi S. Prognostic Factors of Breast Cancer Survival in the Islamic Republic of Iran: an Additive Empirical Bayesian Approach. East Mediterr Health J. 2017; 23: 721-728. PubMed: https://www.ncbi.nlm.nih.gov/pubmed/29319143

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