切换至 "中华医学电子期刊资源库"

中华乳腺病杂志(电子版) ›› 2016, Vol. 10 ›› Issue (03) : 166 -169. doi: 10.3877/cma.j.issn.1674-0807.2016.03.009

论著

乳腺癌分子分型与新辅助化疗效果的关系
朱坤兵1,(), 徐灿2, 李晓霞3, 刘启龙1, 张仁亚3, 马姝1, 石朋1   
  1. 1.272029 济宁医学院附属医院乳腺甲状腺外科
    2.272029 济宁医学院附属医院健康体检中心
    3.272029 济宁医学院附属医院病理科
  • 收稿日期:2015-09-09 出版日期:2016-06-01
  • 通信作者: 朱坤兵

Correlation between molecular subtypes and efficacy of neoadjuvant chemotherapy in breast cancer patients

Kunbing Zhu1,(), Can Xu1, Xiaoxia Li1, Qilong Liu1, Renya Zhang1, Shu Ma1, Peng Shi1   

  1. 1.Department of Breast and Thyroid Surgery,2Medical Examination Center, 3Department of Pathology, Affiliated Hospital of Jining Medical College, Jining 272029, China
  • Received:2015-09-09 Published:2016-06-01
  • Corresponding author: Kunbing Zhu
引用本文:

朱坤兵, 徐灿, 李晓霞, 刘启龙, 张仁亚, 马姝, 石朋. 乳腺癌分子分型与新辅助化疗效果的关系[J/OL]. 中华乳腺病杂志(电子版), 2016, 10(03): 166-169.

Kunbing Zhu, Can Xu, Xiaoxia Li, Qilong Liu, Renya Zhang, Shu Ma, Peng Shi. Correlation between molecular subtypes and efficacy of neoadjuvant chemotherapy in breast cancer patients[J/OL]. Chinese Journal of Breast Disease(Electronic Edition), 2016, 10(03): 166-169.

目的

研究乳腺癌分子分型与新辅助化疗效果的关系。

方法

回顾性分析2008 年6 月至2013 年6 月在济宁医学院附属医院乳腺甲状腺外科确诊的136 例原发性乳腺癌并行新辅助化疗的患者资料,以多西他赛+吡柔比星+环磷酰胺(TAC)方案为新辅助化疗方案。 分析基于免疫组织化学的乳腺癌分子分型、临床病理特点与新辅助化疗效果的关系。 影像学疗效评价采用实体瘤疗效评价标准(RECIST)1.1。 不同年龄、腋窝淋巴结状态、Ki67 表达水平、分子分型组间的pCR 率比较采用χ2 检验,不同肿瘤大小组间的pCR 率比较采用Fisher 精确概率法。 多因素分析采用Logistic 回归分析。

结果

新辅助化疗后临床总体缓解率为84.6%(115/136),其中pCR 率为16.2% (22/136),疾病进展(PD)率为2.9%(4/136)。 luminal A 型、luminal B 型、HER-2 过表达型、三阴性乳腺癌的pCR 率分别为5.4%(3/56)、10.0%(3/30)、30.0%(9/30)、35.0%(7/20),差异有统计学意义(χ2=15.132,P=0.002),其中HER-2过表达型及三阴性乳腺癌新辅助化疗pCR 率显著高于luminal A 型(χ2=9.880、11.333,P 均<0.008)。单因素分析显示,年龄、分子分型、Ki67 表达水平与新辅助化疗pCR 率有关(χ2=15.648、15.132、6.278,P 均<0.050)。 多因素Logistic 回归分析显示,年龄和分子分型与新辅助化疗pCR 率有关(OR=0.025,95%CI:0.005 ~0.136,P<.001;OR=3.644,95%CI:1.851 ~7.174,P<.001)。

结论

乳腺癌新辅助化疗效果与基于免疫组织化学的乳腺癌分子分型有关,三阴性和HER-2 过表达型乳腺癌新辅助化疗更易获得pCR。

Objective

To explore the correlation between the immunohistochemistry-based molecular subtypes and the efficacy of neoadjuvant chemotherapy in primary breast cancer patients.

Methods

We retrospectively studied the records of 136 patients with primary breast cancers who received neoadjuvant chemotherapy (TAC: docetaxel + pirarubicin + cyclophosphamide) in Department of Breast and Thyroid Surgery, Affiliated Hospital of Jining Medical College from June 2008 to June 2013. The correlation of the immunohistochemistry-based molecular subtypes, clinicopathological characteristics with efficacy of neoadjuvant chemotherapy was analyzed. The response of neoadjuvant chemotherapy was comprehensively evaluated based on Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. The pCR rate in groups of different ages,axillary node status, Ki67 expressions and molecular types were processed using χ2 test and the pCR rate in groups of different tumor diameters were using Fisher exact test. Multivariate analysis was performed using Logistic regression analysis.

Results

After neoadjuvant chemotherapy, the overall response rate was 84.6%(115/136), including pCR in 22 patients (16.2%,22/136) and disease progression in 4 patients (2.9%,4/136). The pCR rates of luminal A, luminal B, HER-2 overexpression and triple-negative subtype were 5.4%(3/56), 10.0% (3/30), 30.0% (9/30) and 35.0% (7/20) respectively, indicating a significant difference among them(χ2 =15.132, P=0.002). The pCR rate of HER-2 overexpression or triple-negative subtype was significantly higher than that of luminal A subtype (χ2 =9.880, 11.333, both P<0.008).Univariate analysis showed that pCR rate of patients after neoadjuvant chemotherapy was correlated with patients' age, molecular subtype and Ki67 expression(χ2 = 15.648, 15.132, 6.278,all P<0.050). In multivariate Logistic regression analysis, pCR rate of patients after neoadjuvant chemotherapy was correlated with patients' age and molecular subtype (OR=0.025,95%CI:0.005-0.136,<0.001;OR=3.644,95%CI:1.851-7.174,P<0.001).

Conclusion

The efficacy of neoadjuvant chemotherapy is correlated with immunohistochemistry-based molecular subtype,and the patients with triple-negative and HER-2 overexpression breast cancer are more likely to obtain pCR after neoadjuvant chemotherapy.

表1 多因素Logistic 回归分析变量赋值表
表2 136 例乳腺癌患者临床病理因素与新辅助化疗效果的关系
表3 136 例乳腺癌患者临床病理因素与新辅助化疗效果的多因素Logistic 回归分析
[1]
Bonnefoi H,Litière S,Piccart M,et al. Pathological complete response after neoadjuvant chemotherapy is an independent predictive factor irrespective of simplified breast cancer intrinsic subtypes: a landmark and two-step approach analyses from the EORTC 10994/BIG 1-00 phase III trial[J]. Ann Oncol,2014,25(6):1128-1136.
[2]
王新昭,左文述,刘琪,等. 2013 年St Gallen 乳腺癌会议国际专家共识荟萃[J].中华肿瘤防治杂志,2013,20(23):1859-1864.
[3]
中国抗癌协会乳腺癌专业委员会.中国抗癌协会乳腺癌诊治指南与规范(2013 版)[J].中国癌症杂志,2013,23(8):637-684.
[4]
乳腺癌HER2 检测指南(2014 版)编写组. 乳腺癌HER2 检测指南(2014 版)[J].中华病理学杂志,2014,43(4):262-267.
[5]
Mazouni C,Peintinger F,Wan-Kau S,et al.Residual ductal carcinoma in situ in patients with complete eradication of invasive breast cancer after neoadjuvant chemotherapy does not adversely affect patient outcome[J].J Clin Oncol,2007,25(19):2650-2655.
[6]
Lips EH, Mulder L, de Ronde JJ,et al. Breast cancer subtyping by immunohistochemistry and histological grade outperforms breast cancer intrinsic subtypes in predicting neoadjuvant chemotherapy response[J].Breast Cancer Res Treat,2013,140(1):63-71.
[7]
Goldhirsch A,Wood WC,Coates AS,et al. Strategies for subtypes:dealing with the diversity of breast cancer:highlights of the St. Gallen International Expert Consensus on the primary therapy of early breast cancer 2011[J]. Ann Oncol,2011,22(8):1736-1747.
[8]
Bhargava R,Beriwal S,Dabbs DJ,et al.Immunohistochemical surrogate markers of breast cancer molecular classes predicts response to neoadjuvant chemotherapy: a single institutional experience with 359 cases[J]. Cancer,2010,116(6):1431-1439.
[9]
Yoo C, Ahn JH, Jung KH, et al. Impact of immunohistochemistrybased molecular subtype on chemosensitivity and survival in patients with breast cancer following neoadjuvant chemotherapy[J]. J Breast Cancer,2012,15(2):203-210.
[10]
周怡君,英旻,何英剑,等.原发性乳腺癌分子分型与新辅助化疗疗效的相关性分析[J].中华医学杂志,2013,93(22):1711-1714.
[11]
程元甲,叶京明,徐玲,等.乳腺癌新辅助治疗病理完全缓解预测因素分析[J].中华外科杂志,2013,51(4):339-343.
[12]
Kim KI, Lee KH, Kim TR,et al. Ki-67 as a predictor of response to neoadjuvant chemotherapy in breast cancer patients [J]. J Breast Cancer,2014,17(1):40-46.
[13]
Ingolf JB,Russalina M,Simona M,et al. Can ki-67 play a role in prediction of breast cancer patients' response to neoadjuvant chemotherapy[J]. Biomed Res Int,2014,2014:628 217.
[1] 李洋, 蔡金玉, 党晓智, 常婉英, 巨艳, 高毅, 宋宏萍. 基于深度学习的乳腺超声应变弹性图像生成模型的应用研究[J/OL]. 中华医学超声杂志(电子版), 2024, 21(06): 563-570.
[2] 河北省抗癌协会乳腺癌专业委员会护理协作组. 乳腺癌中心静脉通路护理管理专家共识[J/OL]. 中华乳腺病杂志(电子版), 2024, 18(06): 321-329.
[3] 刘晨鹭, 刘洁, 张帆, 严彩英, 陈倩, 陈双庆. 增强MRI 影像组学特征生境分析在预测乳腺癌HER-2 表达状态中的应用[J/OL]. 中华乳腺病杂志(电子版), 2024, 18(06): 339-345.
[4] 张晓宇, 殷雨来, 张银旭. 阿帕替尼联合新辅助化疗对三阴性乳腺癌的疗效及预后分析[J/OL]. 中华乳腺病杂志(电子版), 2024, 18(06): 346-352.
[5] 邱琳, 刘锦辉, 组木热提·吐尔洪, 马悦心, 冷晓玲. 超声影像组学对致密型乳腺背景中非肿块型乳腺癌的诊断价值[J/OL]. 中华乳腺病杂志(电子版), 2024, 18(06): 353-360.
[6] 程燕妮, 樊菁, 肖瑶, 舒瑞, 明昊, 党晓智, 宋宏萍. 乳腺组织定位标记夹的应用与进展[J/OL]. 中华乳腺病杂志(电子版), 2024, 18(06): 361-365.
[7] 涂盛楠, 胡芬, 张娟, 蔡海峰, 杨俊泉. 天然植物提取物在乳腺癌治疗中的应用[J/OL]. 中华乳腺病杂志(电子版), 2024, 18(06): 366-370.
[8] 朱文婷, 顾鹏, 孙星. 非酒精性脂肪性肝病对乳腺癌发生发展及治疗的影响[J/OL]. 中华乳腺病杂志(电子版), 2024, 18(06): 371-375.
[9] 周荷妹, 金杰, 叶建东, 夏之一, 王进进, 丁宁. 罕见成人肋骨郎格汉斯细胞组织细胞增生症被误诊为乳腺癌术后骨转移一例[J/OL]. 中华乳腺病杂志(电子版), 2024, 18(06): 380-383.
[10] 高杰红, 黎平平, 齐婧, 代引海. ETFA和CD34在乳腺癌中的表达及与临床病理参数和预后的关系研究[J/OL]. 中华普外科手术学杂志(电子版), 2025, 19(01): 64-67.
[11] 韩萌萌, 冯雪园, 马宁. 乳腺癌改良根治术后桡神经损伤1例[J/OL]. 中华普外科手术学杂志(电子版), 2025, 19(01): 117-118.
[12] 张志兆, 王睿, 郜苹苹, 王成方, 王成, 齐晓伟. DNMT3B与乳腺癌预后的关系及其生物学机制[J/OL]. 中华普外科手术学杂志(电子版), 2024, 18(06): 624-629.
[13] 王玲艳, 高春晖, 冯雪园, 崔鑫淼, 刘欢, 赵文明, 张金库. 循环肿瘤细胞在乳腺癌新辅助及术后辅助治疗中的应用[J/OL]. 中华普外科手术学杂志(电子版), 2024, 18(06): 630-633.
[14] 赵林娟, 吕婕, 王文胜, 马德茂, 侯涛. 超声引导下染色剂标记切缘的梭柱型和圆柱型保乳区段切除术的效果研究[J/OL]. 中华普外科手术学杂志(电子版), 2024, 18(06): 634-637.
[15] 丁亚琴, 方旭, 戴彦成. 基于紧密型医联体的“一免三优先政策”在基层消化道肿瘤筛查中的应用探讨[J/OL]. 中华消化病与影像杂志(电子版), 2024, 14(06): 481-484.
阅读次数
全文


摘要