金田恩, 黄嘉, 谢至, 郭伟玲, 叶祉青, 黄健清, 梁红玲. 肿瘤浸润淋巴细胞是乳腺癌新辅助治疗疗效pCR的预测指标[J]. 循证医学, 2020, 20(3): 174-180. DOI: 10.12019/j.issn.1671-5144.2020.03.010
    引用本文: 金田恩, 黄嘉, 谢至, 郭伟玲, 叶祉青, 黄健清, 梁红玲. 肿瘤浸润淋巴细胞是乳腺癌新辅助治疗疗效pCR的预测指标[J]. 循证医学, 2020, 20(3): 174-180. DOI: 10.12019/j.issn.1671-5144.2020.03.010
    JIN Tian-en, HUANG Jia, XIE Zhi, GUO Wei-ling, YE Zhi-qing, HUANG Jian-qing, LIANG Hong-ling. Tumor-infiltrating Lymphocytes as A Predictive Factor for pCR to Neoadjuvant Treatment in Breast Cancer[J]. Journal of Evidence-Based Medicine, 2020, 20(3): 174-180. DOI: 10.12019/j.issn.1671-5144.2020.03.010
    Citation: JIN Tian-en, HUANG Jia, XIE Zhi, GUO Wei-ling, YE Zhi-qing, HUANG Jian-qing, LIANG Hong-ling. Tumor-infiltrating Lymphocytes as A Predictive Factor for pCR to Neoadjuvant Treatment in Breast Cancer[J]. Journal of Evidence-Based Medicine, 2020, 20(3): 174-180. DOI: 10.12019/j.issn.1671-5144.2020.03.010

    肿瘤浸润淋巴细胞是乳腺癌新辅助治疗疗效pCR的预测指标

    Tumor-infiltrating Lymphocytes as A Predictive Factor for pCR to Neoadjuvant Treatment in Breast Cancer

    • 摘要: 目的 检测肿瘤浸润淋巴细胞(tumor-infiltrating lymphocytes,TILs)和乳腺癌新辅助治疗疗效病理完全反应(pathological complete response,pCR)的关系及TILs在乳腺癌新辅助治疗前后的动态变化情况。 方法 收集2014年1月至2018年12月广州医科大学附属肿瘤医院100例乳腺癌新辅助治疗前后配对石蜡标本696块;H&E染色手工评价TILs水平;SPSS 22.0软件分析TILs对pCR的预测作用及TILs在新辅助治疗前后的动态变化。 结果 二元回归分析模型示总区域TILs(OR 1.182,95%CI 1.030~1.358,P=0.018)和肿瘤区域内TILs(OR 1.727,95%CI 1.137~2.622,P=0.010)具有很好的pCR预测价值。总患者中(100例),新辅助治疗前后TILs在总区域(P<0.000 1)、间质区域(P<0.000 1)、肿瘤内区域(P=0.057)均显著升高。 结论 全区域TILs、肿瘤内区域TILs可预测乳腺癌新辅助治疗pCR。新辅助治疗可促进乳腺癌患者肿瘤区域TILs免疫浸润。

       

      Abstract: Objective This study is to investigate the relationship of tumor-infiltrating lymphocytes and pathological complete response (pCR) to neoadjuvant treatment(NAT) in breast cancer, and to observe the dynamic change of TILs between pre- and post-NAT. Methods A total of 100 cases of breast cancer with 696 paraffin blocks were collected between January 2014 and December 2018 in Affiliated Cancer Hospital & Institute of Guangzhou Medical University. TILs was evaluated by pathologists on H&E sections. SPSS 22.0 was used to detect the predictive value of TILs to pCR and the dynamic change of TILs between pre- and post-NAT. Results Bivariate regression analysis indicated that Total TILs (OR 1.182,95%CI 1.030~1.358, P=0.018) and Intratumoral TILs (OR 1.727, 95%CI 1.137~2.622,P=0.010) were statistically significant and independent predictors of pCR. Otherwise, the Total TILs(P<0.000 1), Stromal TILs(P<0.000 1)and Intratumoral region TILs(P=0.057)in pre-NAT tissue were significantly higher than those in post-NAT. Conclusion s Total TILs and Stromal TILs could be predictive factors for pCR to NAT in breast cancer. Meanwhile, NAT could promote Stromal TILs in breast cancer.

       

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