国际肿瘤学杂志 ›› 2025, Vol. 52 ›› Issue (12): 745-757.doi: 10.3760/cma.j.cn371439-20241125-00128

• 论著 • 上一篇    下一篇

体质量指数与不同绝经状态及分子分型乳腺癌患者生存预后的关系

依帕拉·伊力哈木1, 马涛1, 王岩2, 高春洁1, 刘静1, 赵婷3, 王蕾4()   

  1. 1新疆医科大学公共卫生学院乌鲁木齐 830000
    2新疆医科大学附属肿瘤医院肿瘤防治研究办公室乌鲁木齐 830000
    3新疆医科大学附属肿瘤医院病案管理科乌鲁木齐 830000
    4新疆医科大学医学工程技术学院乌鲁木齐 830000
  • 收稿日期:2024-11-25 修回日期:2025-04-15 出版日期:2025-12-08 发布日期:2025-12-31
  • 通讯作者: 王蕾 E-mail:wlei81@126.com
  • 作者简介:依帕拉·伊力哈木现工作单位为吐鲁番职业技术学院现代农业学院
  • 基金资助:
    新疆维吾尔自治区自然科学基金(2022D01C287)

Relationship between body mass indexes and survival prognosis of breast cancer patients with different menopausal status and molecular subtypes

Yipala·Yilihamu 1, Ma Tao1, Wang Yan2, Gao Chunjie1, Liu Jing1, Zhao Ting3, Wang Lei4()   

  1. 1College of Public HealthXinjiang Medical UniversityUrumqi 830000,China
    2Research Office of Tumor Prevention and TreatmentAffiliated Cancer Hospital of Xinjiang Medical UniversityUrumqi 830000,China
    3Department of Medical Record ManagementAffiliated Cancer Hospital of Xinjiang Medical UniversityUrumqi 830000,China
    4Department of Medical Engineering and TechnologyXinjiang Medical UniversityUrumqi 830000,China
  • Received:2024-11-25 Revised:2025-04-15 Online:2025-12-08 Published:2025-12-31
  • Contact: Wang Lei E-mail:wlei81@126.com
  • About author:Yipala·Yilihamu is currently working at the College of Modern Agriculture, Turpan Vocational and Technical College
  • Supported by:
    Natural Science Foundation of Xinjiang Uygur Autonomous Region of China(2022D01C287)

摘要:

目的 探讨体质量指数(BMI)与不同绝经状态及分子分型浸润性乳腺癌患者生存预后的关系。方法 选取2015年1月1日至2019年12月31日在新疆医科大学附属肿瘤医院接受诊治的2 823例浸润性乳腺癌患者为研究对象。按照BMI临床分级标准划分为4个等级:BMI<18.5 kg/m2为过轻(n=57)、18.5 kg/m2≤BMI<24.0 kg/m2为正常(n=1 289)、24.0 kg/m2≤BMI<28.0 kg/m2为超重(n=1 061)、BMI≥28.0 kg/m2为肥胖(n=461)。绘制Kaplan-Meier生存曲线图,比较不同BMI乳腺癌患者的5年总生存(OS)率差异,并采用Cox比例风险回归模型分析BMI对不同绝经状态和分子分型乳腺癌患者预后的影响。采用RCS函数进一步研究BMI水平与全因死亡风险间的剂量-反应关系。结果 过轻、正常、超重、肥胖浸润性乳腺癌患者5年OS率分别为92.98%、96.59%、94.88%、90.67%,差异有统计学意义(χ2=22.11,P<0.001);正常患者5年OS率优于肥胖患者,差异有统计学意义(χ2=15.15,P<0.001)。单因素分析显示,肥胖是全体(HR=2.63,95%CI为1.73~4.00,P<0.001)、已绝经(HR=2.47,95%CI为1.52~4.02,P<0.001)、Luminal B型(HR=3.02,95%CI为1.64~5.59,P<0.001)、Luminal B已绝经(HR=2.65,95%CI为1.27~5.50,P=0.009)浸润性乳腺癌患者OS的影响因素。多因素分析显示,肥胖是全体(HR=1.79,95%CI为1.17~2.76,P=0.008)、已绝经(HR=1.98,95%CI为1.20~3.26,P=0.008)、Luminal B型(HR=2.36,95%CI为1.27~4.42,P=0.007)、Luminal B已绝经(HR=2.39,95%CI为1.12~5.11,P=0.024)浸润性乳腺癌患者OS的独立影响因素。BMI作为连续变量时,与全体、已绝经患者的OS呈“U”型曲线剂量-反应关系,最低风险点分别为24.04、24.43 kg/m2结论 相对于BMI正常,肥胖显著降低了浸润性乳腺癌患者的OS率,而且肥胖是全体、已绝经、Luminal B型、Luminal B已绝经浸润性乳腺癌患者OS的独立影响因素。BMI水平与全体、已绝经浸润性乳腺癌患者OS呈现 “U”型曲线剂量-反应关系,患者BMI水平超过最低风险值,其死亡风险随BMI水平的增加而增加。

关键词: 乳腺肿瘤, 人体质量指数, 预后, 影响因素分析

Abstract:

Objective To investigate the relationship between body mass index (BMI) and survival prognosis of invasive breast cancer patients with different menopausal status and molecular subtypes. Methods A total of 2 823 patients with invasive breast cancer who received treatment at the Affiliated Cancer Hospital of Xinjiang Medical University from January 1, 2015 to December 31, 2019 were selected as the study subjects. Patients were divided into four grades according to the clinical classification standard of BMI: underweight (BMI<18.5 kg/m2n=57), normal weight (18.5 kg/m2≤BMI<24.0 kg/m2n=1 289), overweight (24.0 kg/m2≤BMI<28.0 kg/m2n=1 061), and obesity (BMI≥28.0 kg/m2n=461). Kaplan-Meier survival curve was drawn to compare the difference of the 5-year overall survival (OS) rates of breast cancer patients with different BMI, and the effect of BMI on the prognosis of breast cancer patients with different menopausal statuses and molecular subtypes was investigated by Cox proportional risk regression model. The dose-response relationship between BMI levels and the risk of all-cause death was further investigated using a RCS function. Results The 5-year OS rates of the invasive breast cancer patients with underweight, normal weight, overweight, obesity were 92.98%, 96.59%, 94.88%, 90.67%, respectively, with a statistically significant difference (χ2=22.11, P<0.001); the 5-year OS rate of patients with normal weight was better than that of obese patients, with a statistically significant difference (χ2=15.15, P<0.001). Univariate analysis showed that, obesity was a factor influencing OS of all patients (HR=2.63, 95%CI: 1.73-4.00, P<0.001), postmenopausal patients (HR=2.47, 95%CI: 1.52-4.02, P<0.001), Luminal B subtype patients (HR=3.02, 95%CI: 1.64-5.59, P<0.001), and Luminal B subtype postmenopausal invasive breast cancer patients (HR=2.65, 95%CI: 1.27-5.50, P=0.009). Multivariate analysis showed that, obesity was an independent factor influencing OS of all patients (HR=1.79, 95%CI: 1.17-2.76, P=0.008), postmenopausal patients (HR=1.98, 95%CI: 1.20-3.26, P=0.008), Luminal B subtype patients (HR=2.36, 95%CI: 1.27-4.42, P=0.007), and Luminal B subtype postmenopausal invasive breast cancer patients (HR=2.39, 95%CI: 1.12-5.11, P=0.024). When BMI was used as a continuous variable, it showed a U-shaped dose-response relationship with OS of all patients and postmenopausal patients, and the lowest risk points were 24.04, 24.43 kg/m2, respectively. Conclusions Compared with BMI normal weight, obesity significantly reduces the OS rates of all invasive breast cancer patients. Obesity is an independent influencing factor for the OS of all patients, postmenopausal patients, Luminal B subtype and Luminal B subtype postmenopausal invasive breast cancer patients. There is a U-shaped dose-response relationship between BMI and the OS of all patients and postmenopausal patients. When the BMI level of patients exceeds the lowest risk value, the risk of patient death increases with the rise of BMI levels.

Key words: Breast neoplasms, Body mass index, Prognosis, Root cause analysis