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Abdulhussain Fadhil, A, Abdul Hussein, H, Jawad, M, Khaled Younis Albahadly, W, Hussein, A. S, Abed Jawad, M, Hamza Samein, L, Mihdi Mohammed, N, Kasim Sherif, B, Jalil Obaid, A. (1401). Identify Breast Cancer Risk Factors Using the Gail Assessment Model in Iraq. سامانه مدیریت نشریات علمی, 77(5), 1901-1907. doi: 10.22092/ari.2022.359509.2436
A Abdulhussain Fadhil; H Abdul Hussein; M Jawad; W Khaled Younis Albahadly; A. S Hussein; M Abed Jawad; L Hamza Samein; N Mihdi Mohammed; B Kasim Sherif; A Jalil Obaid. "Identify Breast Cancer Risk Factors Using the Gail Assessment Model in Iraq". سامانه مدیریت نشریات علمی, 77, 5, 1401, 1901-1907. doi: 10.22092/ari.2022.359509.2436
Abdulhussain Fadhil, A, Abdul Hussein, H, Jawad, M, Khaled Younis Albahadly, W, Hussein, A. S, Abed Jawad, M, Hamza Samein, L, Mihdi Mohammed, N, Kasim Sherif, B, Jalil Obaid, A. (1401). 'Identify Breast Cancer Risk Factors Using the Gail Assessment Model in Iraq', سامانه مدیریت نشریات علمی, 77(5), pp. 1901-1907. doi: 10.22092/ari.2022.359509.2436
Abdulhussain Fadhil, A, Abdul Hussein, H, Jawad, M, Khaled Younis Albahadly, W, Hussein, A. S, Abed Jawad, M, Hamza Samein, L, Mihdi Mohammed, N, Kasim Sherif, B, Jalil Obaid, A. Identify Breast Cancer Risk Factors Using the Gail Assessment Model in Iraq. سامانه مدیریت نشریات علمی, 1401; 77(5): 1901-1907. doi: 10.22092/ari.2022.359509.2436

Identify Breast Cancer Risk Factors Using the Gail Assessment Model in Iraq

Archives of Razi Institute
مقاله 49، دوره 77، شماره 5، آذر و دی 2022، صفحه 1901-1907    اصل مقاله (369.49 K)
نوع مقاله: Original Articles
شناسه دیجیتال (DOI): 10.22092/ari.2022.359509.2436
نویسندگان
A Abdulhussain Fadhil* 1؛ H Abdul Hussein2؛ M Jawad3؛ W Khaled Younis Albahadly4؛ A. S Hussein5؛ M Abed Jawad6؛ L Hamza Samein7؛ N Mihdi Mohammed8؛ B Kasim Sherif9؛ A Jalil Obaid10
1College of Medical Technology, Medical Lab Techniques, Al-Farahidi University, Baghdad, Iraq
2College of MLT, Ahl Al Bayt University, Kerbala, Iraq
3Al-Manara College for Medical Sciences, Maysan, Iraq
4University of Al-Ameed, College of Pharmacy, Kerbala, Iraq
5Radiological Techniques Department, Al-Mustaqbal University College, Babylon, Iraq
6Al-Nisour University College, Baghdad, Iraq
7The University of Mashreq, Baghdad, Iraq
8Department of Pharmacy, Mazaya University College Dhi Qar, Iraq
9Department of Pharmacy, Ashur University College, Baghdad, Iraq
10Medical Laboratory Techniques Department, Hilla University College, Babylon, Iraq
چکیده
The prevalence of breast cancer (BC) has increased significantly in the last 50 years worldwide. This increase may be because more women today have mammograms and, as a result, are more known to have cancers. At the same time, the theory is growing that many other factors contribute to the increase in cancer rates. The current study tried applying the Gail assessment model to identify hormonal and familial risk factors that may be important for BC in Iraq. Patients aged 30 years and over with all known risk factors for BC were selected for the study group. The selected patients were divided into two groups. Group 1: Patients diagnosed with non-proliferative lesions who have had a breast biopsy performed at least three years before; Group 2: Controlled patients. The individual risk of BC for patients in groups 1 and 2 was calculated using the Gale model. In addition to groups 1 and 2, we identified two other groups. Group 3: Groups 1 and 2 of patients without BC at the end of the 3-year follow-up period; Group 4: Patients who have undergone BC surgery. Multiple regression tests assessed all known risk factors in groups 3 and 4 to determine the risk factors for the development of BC in Iraq. The results show that Gail's assessment model is a reliable example of calculating the risk of developing BC. The model results show that the significant risk factor for BC in Iraq is not hormonal but genetic or familial. Current research also shows that the risk of developing BC increases significantly with age. It was concluded that there are genetic factors, and the risk of developing BC increases with age, but hormonal features do not cause a significant increase in risk. Identifying risk factors in causing disease in the community makes it possible to prepare codified plans to control and treat the disease.
کلیدواژه‌ها
Gail Model؛ Breast cancer؛ Risk factors of BC؛ Iraq
مراجع
  1. Mohaghegh P, Farahani M, Moslemi A, Ahmadi F, Nazari J. Participation rate, family histories, symptoms, and incidence of breast cancer in the screening program for breast cancer in the population covered by arak health centers. Iran J Breast Dis. 2021;14(2).
  2. Winkel RR, von Euler-Chelpin M, Nielsen M, Petersen K, Lillholm M, Nielsen MB, et al. Mammographic density and structural features can individually and jointly contribute to breast cancer risk assessment in mammography screening: a case–control study. BMC Cancer. 2016;16(1):1-12.
  3. McKinney SM, Sieniek M, Godbole V, Godwin J, Antropova N, Ashrafian H, et al. International evaluation of an AI system for breast cancer screening. Nature. 2020;577(7788):89-94.
  4. Saeedi NR, Sharbaf HA, Ebrahimabad MJA, Kareshki H. Psychological consequences of breast cancer in Iran: a meta-analysis. Iran J Public Health. 2019;48(5):816.
  5. Waks AG, Winer EP. Breast cancer treatment: a review. JAMA. 2019;321(3):288-300.
  6. Britt KL, Cuzick J, Phillips K-A. Key steps for effective breast cancer prevention. Nat Rev Cancer. 2020;20(8):417-36.
  7. Choudhary SK, Kumar S, Yadava D, Bharati DR, Pankaj S, Rajak BK. Knowledge, Attitude and Practice Regarding Breast Cancer Among Women from Rural Practice Area of A Tertiary Care Centre: An Experience from Rural Bihar. J Indira Gandhi Inst Med Sci. 2016;2(1):10.
  8. Saika K, Sobue T. Cancer statistics in the world. Gan To Kagaku Ryoho. 2013;40(13):2475-80.
  9. Cao W, Chen H-D, Yu Y-W, Li N, Chen W-Q. Changing profiles of cancer burden worldwide and in China: a secondary analysis of the global cancer statistics 2020. Chin Med J. 2021;134(07):783-91.
  10. Naeem M, Hayat M, Qamar SA, Mehmood T, Munir A, Ahmad G, et al. Risk factors, genetic mutations and prevention of breast cancer. Int J Biosci. 2019;14(4):492-6.
  11. Solikhah S, Nurdjannah S. Assessment of the risk of developing breast cancer using the Gail model in Asian females: a systematic review. Heliyon. 2020;6(4):e03794.
  12. Stevanato KP, Pedroso RB, Dell Agnolo CM, Santos LD, Pelloso FC, Carvalho MDDB, et al. Use and Applicability of the Gail Model to Calculate Breast Cancer Risk: A Scoping Review. Asian Pac J Cancer Prev. 2022;23(4):1117-23.
  13. Thomas S, Desai G, Pathania OP, Jain M, Aggarwal L, Ali S, et al. Clinico-epidemiological profile of breast cancer
    patients and the retrospective application of Gail model 2: an Indian perspective. Breast Dis. 2016;36(1):15-22.
  1. Kim G, Bahl M. Assessing risk of breast cancer: a review of risk prediction models. J Breast Imaging. 2021;3(2):144-55.
  2. Saleh B, Elhawary MA, Mohamed ME, Ali IN, El Zayat MS, Mohamed H. Gail model utilization in predicting breast cancer risk in Egyptian women: a cross-sectional study. Breast Cancer Res Treat. 2021;188(3):749-58.
  3. Santen RJ, Stuenkel CA, Yue W. Mechanistic Effects of Estrogens on Breast Cancer. Cancer J. 2022;28(3):224-40.
  4. Gail MH, Greene MH. Gail model and breast cancer. Lancet. 2000;355(9208):1017.
  5. Henderson BE, Ross R, Bernstein L. Estrogens as a cause of human cancer: the Richard and Hinda Rosenthal Foundation award lecture. Cancer Res. 1988;48(2):246-53.
  6. Macmahon B, Trichopoulos D, Brown J, Andersen A, Aoki K, Cole P, et al. Age at menarche, probability of ovulation and breast cancer risk. Int J Cancer. 1982;29(1):13-6.
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