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Predictive and prognostic value of PDL1 protein expression in breast cancer patients in neoadjuvant setting

机译:Neoadjuvant设置中乳腺癌患者PDL1蛋白表达的预测性和预测值

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摘要

Objective: Programmed death-ligand-1 (PDL1) is a moleculeinvolved in immune evasion in various kinds of tumors. Here, we aim to determine whether the expression of PDL1 protein is related to the response of patients to neoadjuvant therapy and survival outcome.Methods: Immunohistochemistry (IHC) was performed on paraffin-embedded tumor samples from core needle biopsy before neoadjuvant therapy (NAT). Univariate and multivariate logistic regression were used to analyze the associations between PDL1 protein expression and pathological complete response (pCR) outcome. Kaplan-Meier plot and log-rank test were used to compare disease-free survival (DFS) between groups. A cox proportional hazards model was used to calculate the adjusted hazard ratio (HR) with 95% confidential interval (95%CI).Results: A total of 94 patients were included for IHC testing. PDL1 protein expression on tumor cells was associated with better pCR rate in both univariate (OR = 2.621, p = 0.043) and multivariate (OR = 3.595, p = 0.029) logistic regression analysis. It was also associated with shorter DFS both by log-rank test (p = 0.015) and cox hazard model (HR = 22.824, 95%CI 1.621-321.284, p = 0.020). In hormone receptor (HR)-positive patients, PDL1 protein expression was also associated with better pCR (OR = 2.362, p = 0.022). It was also associated with poor DFS (HR = 18.821, 95%CI 1.645-215.330, p = 0.018).Conclusions: Our results show that PDL1 protein expression is a predictive biomarker of pCR and a prognostic factor of DFS in breast cancer patients and HR-positive subgroups.
机译:目的:编程死亡 - 配体-1(PDL1)是各种肿瘤免疫逃避的分子溶解。在这里,我们的目的是确定PDL1蛋白的表达是否与患者对新辅助治疗和生存结果的反应有关。方法:免疫组织化学(IHC)在Neoadjuvant治疗前的核心针活检(NAT)之前对石蜡嵌入式肿瘤样品进行。单变量和多变量逻辑回归用于分析PDL1蛋白表达与病理完全反应(PCR)结果之间的关联。 Kaplan-Meier Plot和Log-Rank测试用于比较组之间的无疾病存活率(DFS)。使用Cox比例危害模型来计算95%机密间隔(95%CI)的调整后的危险比(HR)。结果:IHC测试共有94名患者。肿瘤细胞的PDL1蛋白表达与单变量(或= 2.621,P = 0.043)和多变量(或= 3.595,P = 0.029)逻辑回归分析中的更好的PCR速率相关。它也与较短的DFS通过逻辑秩检验(P = 0.015)和COX危险模型(HR = 22.824,95%CI 1.621-321.284,P = 0.020)相关联。在激素受体(HR) - 阳性患者中,PDL1蛋白表达也与更好的PCR(或= 2.362,P = 0.022)相关。它还与差的DFS(HR = 18.821,95%CI 1.645-215.330,P = 0.018)。结论:我们的结果表明,PDL1蛋白表达是PCR的预测生物标志物和乳腺癌患者DFS的预后因子和DFS HR阳性子组。

著录项

  • 来源
    《Cancer biology & therapy》 |2019年第6期|共7页
  • 作者单位

    Shanghai Jiao Tong Univ Sch Med Renji Hosp Dept Breast Surg 160 Pujian Rd Shanghai 200127;

    Shanghai Jiao Tong Univ Sch Med Renji Hosp Dept Breast Surg 160 Pujian Rd Shanghai 200127;

    Shanghai Jiao Tong Univ Sch Med Renji Hosp Dept Breast Surg 160 Pujian Rd Shanghai 200127;

    Shanghai Jiao Tong Univ Sch Med Renji Hosp Dept Breast Surg 160 Pujian Rd Shanghai 200127;

    Shanghai Jiao Tong Univ Sch Med Renji Hosp Dept Breast Surg 160 Pujian Rd Shanghai 200127;

    Shanghai Jiao Tong Univ Sch Med Renji Hosp Dept Breast Surg 160 Pujian Rd Shanghai 200127;

    Shanghai Jiao Tong Univ Sch Med Renji Hosp Dept Breast Surg 160 Pujian Rd Shanghai 200127;

    Shanghai Jiao Tong Univ Sch Med Renji Hosp Dept Breast Surg 160 Pujian Rd Shanghai 200127;

    Shanghai Jiao Tong Univ Sch Med Renji Hosp Dept Breast Surg 160 Pujian Rd Shanghai 200127;

    Shanghai Jiao Tong Univ Sch Med Renji Hosp Dept Breast Surg 160 Pujian Rd Shanghai 200127;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 肿瘤学;
  • 关键词

    Breast cancer; neoadjuvant; PDL1; predictive; prognostic;

    机译:乳腺癌;neoadjuvant;pdl1;预测;预后;

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