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作 者:金田恩 黄嘉 谢至[3] 郭伟玲[2] 叶祉青 黄健清[2] 梁红玲 JIN Tian-en;HUANG Jia;XIE Zhi;GUO Wei-ling;YE Zhi-qing;HUANG Jian-qing;LIANG Hong-ling(Guangzhou DAAN Clinical Laboratory Center,Guangzhou 510520,China;Guangzhou Medical University,Guangzhou 510006,China;Medical Research Center,Guangdong Provincial People's Hospital,Guangdong Lung Cancer Institute,Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer,Guangzhou 510080,China;Affiliated Cancer Hospital&Institute of Guangzhou Medical University,Guangzhou 510095,China)
机构地区:[1]广州达安临床检验中心,广州510520 [2]广州医科大学,广州510006 [3]广东省人民医院医学研究部,广东省肺癌研究所,广东省肺癌转化医学重点实验室,广州510080 [4]广州医科大学附属肿瘤医院乳腺外科,广州510095
出 处:《循证医学》2020年第3期174-180,共7页The Journal of Evidence-Based Medicine
基 金:广州市卫生和计划生育委员会一般引导项目资助项目(20191A011097);广州市科学技术局一般引导项目资助项目(201904010331)。
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<0.0001)、间质区域(P<0.0001)、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。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<0.0001),Stromal TILs(P<0.0001)and Intratumoral region TILs(P=0.057)in pre-NAT tissue were significantly higher than those in post-NAT.Conclusions 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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