Cancer Research and Treatment

The Korean Cancer Association (대한암학회)
권호 표지

The Estimation of Breast Cancer Disease-Probability by Difference of Individual Susceptibility

Park, Sue-Kyung;Yoo, Keun-Young;Kang, Dae-Hee;Ahn, Sei-Hyun;Noh, Dong-Young;Choe, Kuk-Jin

  • Published : 20030000
⟨ Previous Next ⟩

Abstract

Purpose: The aims were to evaluate the main risk factors (RFs) of breast cancer and to estimate the individual disease-probability from combinations of RFs in Korean female. Materials and Methods: We conducted case-control study of 1,687 incident cases of invasive carcinoma and 1,238 controls during 1996-2000. A breast cancer disease-probability model was established by a general modeling process using a multivariate logistic regression model, which included the main Korean RFs and synergistic interaction-terms. Results: The main Korean RFs selected were age, family history of second relatives, BMI, age at first fullterm pregnancy, breast-feeding, and a special test on the breasts. Two synergisms were observed between age and breast-feeding, and between special test and age at first fullterm pregnancy. The disease-probability and model are shown in Table 4, and Appendix 1. Conclusion: The availability of previous Western models was limited for Korean female due to the differences inhazard-rates and the characteristics of breast cancer between Asian and Western females. Due to limited basic data, i.e. incidence, hazard-rate and cancer-cohorts, the developing-probability of breast cancer for Korean females was not calculated. Therefore, the disease-probability was calculated instead. This approach might be more beneficial for Koreans, and help in the decisionmaking for regular screening or hospital visit-interval, counseling in breast-cancer clinics, prescribing high-risk population, and in educating for primary prevention, although it over-estimates the relative probability compared to the developing-probability and the 65% predictive validity.

Keywords

References

  1. Korean National Cancer Institute, Cancer Registry Center, 1999, (http://www.ncc.re.kr/ \longrightarrowStatistic of Cancer Registry)
  2. Park SK, Lim YK, Yoo KY. Prediction of future breast cancer mortality in Korea. Korean J Epidemiol 1998;20:267-274.
  3. Euhus DM. Understanding mathematical models for breast cancer risk assessment and counseling. Breast J 2001;7:224-232. https://doi.org/10.1046/j.1524-4741.2001.20012.x
  4. Gail MH, Brinton LA, Byar DP, Corle DK, Green SB, Schairer C, Mulvihill JJ. Projecting individualized probabilities of developing breast cancer for white females who are being examined annually. J Natl Cancer Inst 1989;81:1879-1886. https://doi.org/10.1093/jnci/81.24.1879
  5. Mulvihill HH, Safyer AW, Bening JK. Prevention in familial breast cancer: counseling and prophylactic mastectomy. Prev Med 1982;11:500-511. https://doi.org/10.1016/0091-7435(82)90064-0
  6. Hoskins OA. Genetic counseling for demonstration project: five-year summary report. CA 1989;32:194-225.
  7. Gail M, Rimer B. Risk-based recommendations for mammographic screening for women in their forties. J Clin Oncol 1998;16:3105-14. https://doi.org/10.1200/JCO.1998.16.9.3105
  8. Hartmann LC, Schaid DJ, Woods JE, Crotty TP, Myers JL, Arnold PG, Petty PM, Sellers TA, Johnson JL, McDonnell SK, Frost MH, Jenkins RB. Efficacy of bilateral prophylactic mastectomy in women with a family history of breast cancer. N Engl J Med 1999;340:77-84. https://doi.org/10.1056/NEJM199901143400201
  9. Rebbeck TR, Levin AM, Eisen A, Snyder C, Watson P, Cannon-Albright L, Isaacs C, Olopade O, Garber JE, Godwin AK, Daly MB, Narod SA, Neuhausen SL, Lynch HT, Weber BL. Breast cancer risk after bilateral prophylactic oophorectomy in BRCA1 mutation carriers. J Natl Cancer Inst 1999;91:1475-1479. https://doi.org/10.1093/jnci/91.17.1475
  10. Yoo KY, Noh DY, Choe KJ. Epidemiology of Korean breast cancer. Korean J Epidemiol 1995;17:30-47.
  11. Yoo KY, Park SK, Sung JH, Kang DH, Kim YC, Kang HS, Suh JS, Kim JS, Yun LJ, Han SW, Noh DY, Choe KJ. High risk groups for female breast cancer in Korea. J Korean Cancer Assoc 1998;30:435-449.
  12. Pike MC, Spicer DV, Dahmoush L, Press MF. Estrogens, progesterones, normal breast cell proliferation, and breast cancer risk. Epidemiol Rev 1993;15:17-35. https://doi.org/10.1093/oxfordjournals.epirev.a036102
  13. Breslow NE, Day NE, Statistical methods in cancer research. The analysis of case control studies. pp192-246, IARC Sci Publ, 1980.
  14. Yoo KY. Categorical data analysis for epidemiological studies. pp 79-89, Seoul National Univ., Press, 1996.
  15. Ahn SH, Park KC, Yoon YI, Lee MS, Kim YS, Kim MK, Lee YJ. Case-control study for risk factors of Korean breast cancer. Korean J Surgery 1996;50:26-35.
  16. Suh JS, Yoo KY, Choi KH, Noh DY, Choe KJ. Menstrual and reproductive factors related to the risk of breast cancer in Korea. J of Korean Medical Science 1996;11:501-508. https://doi.org/10.3346/jkms.1996.11.6.501
  17. DH Kang, KY Yoo, SK Park, HW Koo, JS Suh, YC Kim, DY Noh, KJ Choe. Cigarette smoking, alcohol consumption and breast cancer in Korea. Korean J Epidemiol 1998;20: 60-69.
  18. Schlesselman JJ. Case-control studies -design, conduct, analysis-.Oxford University Press, New York, Oxford, 1982
  19. Epidemiology Program Office in CDC, CDC web site, (http://www.cdc.gov/epiinfo/index.htm).
  20. Kelsey JL. A review of the epidemiology of breast cancer. Epidemiol Rev 1979;1:74-109. https://doi.org/10.1093/oxfordjournals.epirev.a036215
  21. Struewing JP, Hartge P, Wacholder S, Baker SM, Berlin M, McAdams M, Timmerman MM, Brody LC, Tucker MA. The risk of cancer associated with specific mutations of BRCA1 and BRCA2 among Ashkenazi Jews. N Engl J Med 1997;336:1401-1408. https://doi.org/10.1056/NEJM199705153362001
  22. Boyd NF, Byng JW, Jong RA, Fishell EK, Little LE, Miller AB, Lockwood GA, Tritchler DL, Yaffe MJ. Quantitative classification of mammographic densities and breast cancer risk: results from the Canadian National Breast Screening Study. J Natl Cancer Inst 1995;87:670-675. https://doi.org/10.1093/jnci/87.9.670
  23. Swets JA. Measuring the accuracy of diagnostic systems. Science. 1988;240:1285-1293. https://doi.org/10.1126/science.3287615
  24. Kelsey JL, Thompson WD, Evans AS. Methods in observational epidemiology. pp 177, New York, Oxford, Oxford University Press., 1986.
  25. Ahn SH, Kang NP, Koh BG, Koh SH, Ku BH, Ku JY, Kon KB, Kon KJ, Kim KK, Kim KC, Kim SY, Kim SJ, Kim OY, Kim YS, Kim ES, Kim IC, Kim JH, Kim JS, Kim JS, Kim HK, Nam SJ, Noh DY, Noh WC, Rhu JW, Moon NU, Moon NM, Moon BI, Moon JH, Park BK, Park SH, Park SJ, Park SH, Park ST, Park UB Park JH, Park CH, Park HB, Bah YT, Bah WK, Bah JW, Baek NS, Baek IU, Suh KH, Shon BH, Song YJ, Yang TH, Yang JH, Oh SS, Yoo SY, Yoon TS, Yoon JH, Yoon HS, Lee KS, Lee KH, Lee KM, Lee MH, Lee SK, Lee SK, Lee SJ, Lee YH, Lee ES, Lee JH, Lee JY, Lee CH, Lee CH, Lee HD, Jang IT, Jang IS, Cheon SY, Choeng KY, Jung KH, Jung BH, Jung SS, Jung SH, Jung PJ, Jekal YH, Joh SH, Joh YH, Joh YO, Cha KH, Choe KJ, Choi SY, Choi SI, Choi SH, Choi CR, Han SH, Ham YW, Whang JY. Korean breast cancer data of 1996. Korean J Surgery 1998;55:621-635.副数敲⁒敶楥睹⁔慬敮瑥搠奯畴栠䉵汬整楮敳敡牣栀