Borugian Marilyn J, Sheps Samuel B, Kim-Sing Charmaine, Van Patten Cheri, Potter John D, Dunn Bruce, Gallagher Richard P, Hislop T Gregory
Cancer Control Research, British Columbia Cancer Agency, Vancouver, Canada.
Cancer Epidemiol Biomarkers Prev. 2004 Jul;13(7):1163-72.
High levels of insulin have been associated with increased risk of breast cancer, and poorer survival after diagnosis. Data and sera were collected from 603 breast cancer patients, including information on diet and physical activity, medical history, family history, demographic, and reproductive risk factors. These data were analyzed to test the hypothesis that excess insulin and related factors are directly related to mortality after a diagnosis of breast cancer. The cohort was recruited from breast cancer patients treated at the British Columbia Cancer Agency between July 1991 and December 1992. Questionnaire and medical record data were collected at enrollment and outcomes were ascertained by linkage to the BC Cancer Registry after 10 years of follow-up. The primary outcome of interest was breast cancer-specific mortality (n = 112). Lifestyle data were analyzed using Cox proportional hazards regression models to relate risk factors to outcomes, controlling for potential confounders, such as age and stage at diagnosis. Data for biological variables were analyzed as a nested case-control study due to limited serum volumes, with at least one survivor from the same cohort as a control for each breast cancer death, matched on stage and length of follow-up. High levels of insulin were associated with poorer survival for postmenopausal women [odds ratio, 1.9; 95% confidence interval (CI), 0.7-6.6, comparing highest to lowest tertile, P trend = 0.10], while high dietary fat intake was associated with poorer survival for premenopausal women (relative risk, 4.8; 95% CI, 1.3-18.1, comparing highest to lowest quartile). Higher dietary protein intake was associated with better survival for all women (relative risk, 0.4; 95% CI, 0.2-0.8, comparing highest to lowest quartile).
高水平胰岛素与乳腺癌风险增加以及确诊后较差的生存率相关。收集了603名乳腺癌患者的数据和血清,包括饮食和身体活动、病史、家族史、人口统计学以及生殖风险因素等信息。对这些数据进行分析,以检验过量胰岛素及相关因素与乳腺癌确诊后死亡率直接相关这一假设。该队列招募自1991年7月至1992年12月在不列颠哥伦比亚癌症机构接受治疗的乳腺癌患者。在入组时收集问卷和病历数据,并在随访10年后通过与卑诗癌症登记处的链接确定结局。主要关注的结局是乳腺癌特异性死亡率(n = 112)。使用Cox比例风险回归模型分析生活方式数据,以将风险因素与结局相关联,同时控制潜在的混杂因素,如诊断时的年龄和分期。由于血清量有限,对生物学变量的数据作为巢式病例对照研究进行分析,每个乳腺癌死亡病例从同一队列中选取至少一名幸存者作为对照,按分期和随访时间进行匹配。高水平胰岛素与绝经后女性较差的生存率相关[比值比,1.9;95%置信区间(CI),0.7 - 6.6,最高三分位数与最低三分位数比较,P趋势 = 0.10],而高膳食脂肪摄入量与绝经前女性较差的生存率相关(相对风险,4.8;95%CI,1.3 - 18.1,最高四分位数与最低四分位数比较)。较高的膳食蛋白质摄入量与所有女性较好的生存率相关(相对风险,0.4;95%CI,0.2 - 0.8,最高四分位数与最低四分位数比较)。