ABSTRACT The aim of study was to evaluate clinical characteristics, social support and the association with the prognosis of breast cancer patients. A total of 204 participants were followed from 2003 until the end of 2008. Information about patients with breast cancer was submitted by investigators. Data were analyzed by Cox’s proportional hazard model. The clinical staging of breast cancer we used was the TNM classification. A "T" score is based upon the size and/or extent of invasion. The "N" score indicates the extent of lymph node involvement. Age at diagnose was associated with protective factors (HR=0.972; 95%CI (0.834-1.130)), T staging (HR=2.075; 95%CI (1.424-3.022)), N staging (HR=1.513; 95%CI (1.066-2.148)), were associated with risk factor. Two survival graphs of nodes with negative effects by histology and nodes with positive effects by histology was analyzed by log-rank test, there was statistically significant relationship between two survival graphs (χ2 =136.8467, p <.0001). Age at diagnoses, Clinical stage tumor and node could contribute to the development of breast cancer and disease free survival in Chinese women.
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nullLiu, B. , Dai, Q. , Du, Y. , Jiang, X. and Zhou, G. (2011) Clinical Study on the Impact of Long-term Survival Quality in 204 Postoperative Patients with Breast Cancer by Cox Proportional Hazard Models. Open Journal of Preventive Medicine, 1, 8-12. doi: 10.4236/ojpm.2011.11002.
  Gai, X., Fan, Z. and Bresson, J..(1995) Comparison of survival among patientswith breast cancer treated at first teaching hospital, Changchun, China, and Saint-Sacrement Hospital, Quebec, Canada. Chinese Journal Cancer Research, 7(3), 197-205. doi:10.1007/BF03023474
 McDowell, I. and Newell, C.. (1996) Measuring Health. A Guide to Rating Scales and Questionnaires, 2nd edition. New York: Oxford University Press, 354-355.
 Lehto, U.S., Ojanen, M., and Kellokumpu-Lehtinen, P.. (2005) Predictors of quality of life in newly diagnosed melanoma and breast cancer patients. Ann Oncol, 16(5), 805-816. doi:10.1093/annonc/mdi146
 Batel-Copel, L.M., Kornblith, A.B., Batel, P.C. and Holland, J.C.. (1997) Do oncologists have an increasing interest in the quality of life of their patients? A literature review of the last 15 years. European Journal of Cancer, 33(1), 29-32. doi:10.1016/S0959-8049(96)00414-5
 Velikova, G., Stark, D. and Selby, P.. (1999) Quality of life instruments in oncology. European Journal of Cancer, 35(11), 1571-1580. doi:10.1016/S0959-8049(99)00193-8
 Osoba, D.. (1999) What has been learned from measuring health-related quality of life in clinical oncology. European Journal of Cancer, 35(11), 1565-1570.
 Curt, G.A.. (2001) Fatigue in cancer. BMJ, 322(7302), 1560. doi:10.1136/bmj.322.7302.1560
 Trask, P.C., Paterson, A.G., Hayasaka, S., Dunn, R.L., Riba, M., and Johnson, T.. (2001) Psychosocial characteristics of individuals with non-stage IV melanoma. Journal Clinical Oncology, 19(11), 2844-2850.
 Moinpour, C.M., Feigl, P., Metch, B., Hayden, K.A., Meyskens, F.L.Jr. and Crowley, J.. (1989) Quality of life end points in cancer clinical trials: Review and recommendations. Journal National Cancer Institute, 81(7), 485-495. doi:10.1093/jnci/81.7.485
 Osoba, D.. (1994) Lessons learned from measuring health-related quality of life in oncology. Journal Clinical Oncology, 12(3), 608-616.
 Caroline, B., Victoria, C., Sharon, L., Jill, G., Michael, R. and Amanda R.. (2005) Depression and anxiety in women with early breast cancer: five year observational cohort study. BMJ, 330(7943), 698-702.
 Furberg, H., Millikan, R., Dressler, L., Newman, B. and Geradts, J.. (2001) Tumor characteristics in African American and white women.. Breast Cancer Res Treat, 68(1), 33-43. doi:10.1023/A:1017994726207
 Kwan, W., Jackson, J., Weir, L.M., Dingee, C., McGregor, G. and Olivotto, I.A.. (2002) Chronic arm morbidity after curative breast cancer treatment: prevalence and impact on quality of life. Journal Clinical Oncology, 20 (20), 4242-4248. doi:10.1200/JCO.2002.09.018