侵襲性乳癌之預後因子

The Prognostic Factors for Invasive Breast Cancer

林哲斌(Che-Pin Lin) ； 周碧瑟(Pe-Sus Chou) ； 璩大成(Da-Chen Chu)

《北市醫學雜誌》 10卷2期 (2013/06) Pp. 110-119

https://doi.org/10.6200/TCMJ.2013.10.2.02

摘要

Objectives: The prognostic factors (PF) that influence the survival of breast cancer (BCA) patients, can be classified as (1) Clinical and biological factors: staging, axillary lymph nodes (LN), estrogen receptors (ER), progestrone receptors (PR), Her-2 receptors. (2) Social economic factors: Age, education, spouse, occupation, pocket-money medication. (3) Anthropometric factor: body mass index (BMI). We tried to figure out the influence of these PF in a single institute with standard treatment of breast cancer. Methods: We included 502 invasive BCA patients in Taipei City Hospital, Ren-Ai Branch, from 2004 to 2009. The survival data was analyzed by Cox Regression Method. Results: In univariate survival analyses, patients with characteristics of ”age more than 55”, ”low education level”, ”pocket money medication”, ”advanced stage”, ”ER(-)”, ”PR(-)”, ”more than 3 axillary's LN” appeared significantly higher hazard ration (HR). However, by multivariate analyses after adjusting for all known PF, and Exclude the Lymph node status, we found AJCC staging, estrogen status, and education, can independently predict the prognosis. Conclusion: The prognosis of a disease may changes as the treatment improved. Re-evaluate the PF in different era is necessary.

關鍵字

乳癌 ； 預後因子

並列摘要

Objectives: The prognostic factors (PF) that influence the survival of breast cancer (BCA) patients, can be classified as (1) Clinical and biological factors: staging, axillary lymph nodes (LN), estrogen receptors (ER), progestrone receptors (PR), Her-2 receptors. (2) Social economic factors: Age, education, spouse, occupation, pocket-money medication. (3) Anthropometric factor: body mass index (BMI). We tried to figure out the influence of these PF in a single institute with standard treatment of breast cancer. Methods: We included 502 invasive BCA patients in Taipei City Hospital, Ren-Ai Branch, from 2004 to 2009. The survival data was analyzed by Cox Regression Method. Results: In univariate survival analyses, patients with characteristics of ”age more than 55”, ”low education level”, ”pocket money medication”, ”advanced stage”, ”ER(-)”, ”PR(-)”, ”more than 3 axillary's LN” appeared significantly higher hazard ration (HR). However, by multivariate analyses after adjusting for all known PF, and Exclude the Lymph node status, we found AJCC staging, estrogen status, and education, can independently predict the prognosis. Conclusion: The prognosis of a disease may changes as the treatment improved. Re-evaluate the PF in different era is necessary.

並列關鍵字

breast cancer ； prognostic factors ； C.I.

參考文獻

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