实用肿瘤学杂志 ›› 2025, Vol. 39 ›› Issue (4): 316-323.doi: 10.11904/j.issn.1002-3070.2025.04.009

• 临床研究 • 上一篇    下一篇

血浆动脉粥样硬化指数对新辅助化疗乳腺癌患者病理完全缓解率及预后的影响

罗丹利, 李福程, 贾斯媛, 窦赫, 巴玉玲, 高天, 李照廷, 肖敏   

  1. 哈尔滨医科大学附属肿瘤医院乳腺外科(哈尔滨 150081)
  • 收稿日期:2025-01-23 修回日期:2025-06-05 发布日期:2025-09-09
  • 通讯作者: 肖敏,E-mail:xiaomin@hrbmu.edu.cn
  • 作者简介:罗丹利,女,(1998—),硕士,从事乳腺癌相关的研究。
  • 基金资助:
    国家自然科学基金(编号:82372940)

Effect of plasma atherosclerosis index on pathological complete response and prognosis of breast cancer patients treated with neoadjuvant chemotherapy

LUO Danli, LI Fucheng, JIA Siyuan, DOU He, BA Yuling, GAO Tian, LI Zhaoting, XIAO Min   

  1. Department of Breast Surgery,Harbin Medical University Cancer Hospital,Harbin 150081,China
  • Received:2025-01-23 Revised:2025-06-05 Published:2025-09-09

摘要: 目的 探讨血浆动脉粥样硬化指数(atherogenic index of plasma,AIP)对接受新辅助化疗乳腺癌患者的总生存期(overall survival,OS)、无病生存期(disease-free survival,DFS)和病理完全缓解(pathological complete response,pCR)率的影响。方法 本研究为回顾性分析,纳入2014年5月—2023年7月在哈尔滨医科大学附属肿瘤医院接受新辅助化疗的247例乳腺癌患者。收集患者临床资料,根据术前血脂指标计算基线AIP。根据基线AIP中位数将患者分为高AIP组和低AIP组,比较两组间临床资料的差异;并按照治疗方案和激素受体(hormone receptor,HR)状态对患者进行分层,分析不同分层间pCR率的差异。使用Cox回归模型分析患者OS和DFS的影响因素,分析高、低AIP组间OS和DFS曲线的差异;构建限制性三次样条(restricted cubic spline,RCS)模型,进一步评估基线AIP对生存预后的潜在线性影响。结果 共纳入247例患者,其中高AIP(>-0.044)组123例,低AIP(≤-0.044)组124例。与低AIP组相比,高AIP组患者BMI和保乳手术率较高(P<0.05),其余基线特征差异无统计学意义(P>0.05)。多因素Cox回归分析显示,AIP和p53状态是患者OS的独立影响因素(P<0.05),AIP、肿瘤TNM分期和p53状态是患者DFS的独立影响因素(P<0.05)。Kaplan-Meier生存分析显示,低AIP组患者的OS和DFS显著优于高AIP组(P<0.05)。高AIP组与低AIP组pCR率差异无统计学意义(P=0.537);在各治疗亚组、HR阳性亚组和HR阴性亚组中,高AIP组与低AIP组间pCR率差异均无统计学意义(P>0.05)。RCS模型分析显示,AIP与OS存在显著正向线性关联(Plinearity=0.005,Pnonlinearity=0.188);AIP与DFS之间未观察到显著的线性或非线性关系(Plinearity=0.063,Pnonlinearity=0.135)。结论 基线AIP与OS存在显著正向线性关联;AIP与DFS之间未观察到显著的线性或非线性关系。AIP升高提示生存预后较差。基线AIP可作为新辅助化疗乳腺癌患者的潜在预后指标。

关键词: 乳腺癌, 新辅助化疗, 血浆动脉粥样硬化指数, 预后, 病理完全缓解

Abstract: Objective The aim of this study was to investigate the effect of the atherogenic index of plasma(AIP)on overall survival(OS),disease-free survival(DFS),and pathological complete response(pCR)rate of breast cancer patients receiving neoadjuvant chemotherapy(NACT). Methods This study was a retrospective analysis,including 247 breast cancer patients who received NACT at Harbin Medical University Cancer Hospital from May 2014 to July 2023.Clinical data of patients were collected,and baseline AIP based on preoperative blood lipid indicators was calculated.Patients were divided into the low and high AIP groups based on the median baseline AIP,and the differences in clinical data were compared between the two groups.Patients were further stratified according to the treatment regimens and hormone receptor(HR)status,and analyze the differences in pCR rates between different stratifications.Cox regression models were used to analyze the factors influencing OS and DFS,and to compare the differences in OS and DFS curves between the high-and low-AIP groups.Restricted cubic spline(RCS)models were further constructed to evaluate the potential nonlinear impact of baseline AIP and survival prognosis. Results A total of 247 patients were enrolled,including 123 in the high AIP(>-0.044)group and 124 in the low AIP(≤-0.044) group.Compared with the low AIP group,patients in the high AIP group had significantly higher BMI and breast-conserving surgery rates(P<0.05),while there were no significant differences in other baseline characteristics(P>0.05).Multivariate Cox regression analyses revealed that AIP and p53 status were independent prognostic factors for patient OS(P<0.05),while AIP,tumor TNM stage,and p53 status were independent influencing factors of patient DFS(P<0.05).Kaplan-Meier survival analysis showed that the OS and DFS of patients in the low AIP group were significantly better than those in the high AIP group(P<0.05).There was no statistically significant difference in pCR rates between the low AIP group and the high AIP group(P=0.537).There was no statistically significant difference in pCR rates between the low and high AIP groups in each treatment subgroup,HR-positive subgroup,and HR-negative subgroup(P>0.05).The RCS model analysis showed a significant positive linear correlation between AIP and OS(Plinearity=0.005,Pnonlinearity=0.188),while no significant linear or nonlinear relationship was observed between AIP and DFS(Plinearity=0.063,Pnonlinearity=0.135). Conclusion There is a significant positive linear correlation between baseline AIP and OS;No significant linear or nonlinear relationship was found between AIP and DFS.Elevated AIP indicates poor survival outcomes.The baseline AIP can be used as a potential prognostic indicator for breast cancer patients undergoing NACT.

Key words: Breast cancer, Neoadjuvant chemotherapy, Plasma atherosclerosis index, Prognosis, Pathological complete response

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