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姜聪, 黄元夕. 系统免疫炎性反应指数对乳腺癌新辅助化疗病理完全缓解的预测作用及其与p53的关系[J]. 肿瘤防治研究, 2020, 47(10): 756-760. DOI: 10.3971/j.issn.1000-8578.2020.20.0273
引用本文: 姜聪, 黄元夕. 系统免疫炎性反应指数对乳腺癌新辅助化疗病理完全缓解的预测作用及其与p53的关系[J]. 肿瘤防治研究, 2020, 47(10): 756-760. DOI: 10.3971/j.issn.1000-8578.2020.20.0273
JIANG Cong, HUANG Yuanxi. Predictive Effect of Systemic Immune-inflammation Index on Pathological Complete Response of Breast Cancer to Neoadjuvant Chemotherapy and Its Relation with p53[J]. Cancer Research on Prevention and Treatment, 2020, 47(10): 756-760. DOI: 10.3971/j.issn.1000-8578.2020.20.0273
Citation: JIANG Cong, HUANG Yuanxi. Predictive Effect of Systemic Immune-inflammation Index on Pathological Complete Response of Breast Cancer to Neoadjuvant Chemotherapy and Its Relation with p53[J]. Cancer Research on Prevention and Treatment, 2020, 47(10): 756-760. DOI: 10.3971/j.issn.1000-8578.2020.20.0273

系统免疫炎性反应指数对乳腺癌新辅助化疗病理完全缓解的预测作用及其与p53的关系

Predictive Effect of Systemic Immune-inflammation Index on Pathological Complete Response of Breast Cancer to Neoadjuvant Chemotherapy and Its Relation with p53

  • 摘要:
    目的 探讨系统免疫炎性反应指数(SII)对乳腺癌新辅助化疗(NAC)病理完全缓解(pCR)的预测作用及其与p53的关系。
    方法 回顾性分析387例接受新辅助化疗及手术的女性乳腺癌患者临床病理资料。Logistic回归模型进行单因素和多因素分析。
    结果 72例(18.6%)患者接受新辅助化疗后获得了pCR,其中低SII组48例,高SII组24例; p53阴性组39例,阳性组33例。单因素分析显示:pCR与临床T分期、激素受体(HR)状态、人表皮生长因子受体2(HER2)、Ki67值、分子分型、p53及SII相关(均P < 0.05);多因素分析显示:临床T分期、Ki67值、分子分型、p53及SII是影响乳腺癌患者pCR的独立预测因素。p53阴性的低SII组患者pCR率高于其他组。
    结论 SII是乳腺癌新辅助化疗病理完全缓解的独立预测因素,具有简单方便及重复性高等特点,p53阴性的低SII组患者pCR率高。

     

    Abstract:
    Objective To explore the predictive effect of systemic immune-inflammation index (SII) on pathological complete response (pCR) of breast cancer patients to neoadjuvant chemotherapy and its relation with p53.
    Methods We retrospectively analyzed the clinicopathological data of 387 female breast cancer patients who received neoadjuvant chemotherapy and surgery. Logistic regression model was used for univariate and multivariate analyses.
    Results In this study, 72 (18.6%) patients received neoadjuvant chemotherapy and obtained pCR, including 48 patients in the low SII group and 24 patients in the high SII group; 39 cases in the p53 negative group and 33 cases in the positive group. Univariate analysis showed that pCR was correlated with clinical T stage, hormone receptor status, HER2, Ki67 value, molecular subtype, p53 and SII (all P < 0.05). Multivariate analysis showed that clinical T stage, Ki67 value, molecular typing, p53 and SII were independent predictors of pCR in breast cancer patients. The pCR rate of the low SII group with negative p53 was the highest.
    Conclusion Systemic immune inflammation index is an independent predictor of pathological complete response of breast cancer patients to neoadjuvant chemotherapy, with the characteristics of simplicity, convenience and high repeatability. The pCR rate of patients in the low SII group with negative p53 is high.

     

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