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中华乳腺病杂志(电子版) ›› 2022, Vol. 16 ›› Issue (03) : 138 -146. doi: 10.3877/cma.j.issn.1674-0807.2022.03.002

论著

T1~3N0M0期激素受体阳性、人表皮生长因子受体2阴性浸润性乳腺癌复发、转移风险因素分析
郭丽丽1, 侯牛牛2, 肖晶晶1, 王哲1, 王亚萍1, 易军1, 凌瑞1,()   
  1. 1. 710032 西安,空军军医大学西京医院甲乳血管外科
    2. 210001 南京,中国人民解放军东部战区空军医院普外科
  • 收稿日期:2022-02-18 出版日期:2022-06-01
  • 通信作者: 凌瑞

Risk factors of recurrence and metastasis in patients with hormonal receptor-positive and HER-2-negative T1-3N0M0 invasive breast cancer

Lili Guo1, Niuniu Hou2, Jingjing Xiao1, Zhe Wang1, Yaping Wang1, Jun Yi1, Rui Ling1,()   

  1. 1. Department of Thyroid, Breast and Vascular Surgery, Xijing Hospital, Air Force Medical University, Xi’an 710032, China
    2. Department of General Surgery, Air Force Hospital of Eastern Theater Command of PLA, Nanjing 210001, China
  • Received:2022-02-18 Published:2022-06-01
  • Corresponding author: Rui Ling
  • About author:
    Guo Lili and Hou Niuniu are co-first authors
引用本文:

郭丽丽, 侯牛牛, 肖晶晶, 王哲, 王亚萍, 易军, 凌瑞. T1~3N0M0期激素受体阳性、人表皮生长因子受体2阴性浸润性乳腺癌复发、转移风险因素分析[J]. 中华乳腺病杂志(电子版), 2022, 16(03): 138-146.

Lili Guo, Niuniu Hou, Jingjing Xiao, Zhe Wang, Yaping Wang, Jun Yi, Rui Ling. Risk factors of recurrence and metastasis in patients with hormonal receptor-positive and HER-2-negative T1-3N0M0 invasive breast cancer[J]. Chinese Journal of Breast Disease(Electronic Edition), 2022, 16(03): 138-146.

目的

分析T1~3N0M0期激素受体阳性、人表皮生长因子受体2阴性[HR(+)/HER-2(-)]乳腺癌患者复发、转移风险因素。

方法

回顾性分析2008年1月1日至2017年12月31日在空军军医大学西京医院诊治的1 064例T1~3N0M0期HR(+)/HER-2(-)浸润性乳腺癌患者的临床病理资料。运用Kaplan-Meier法进行生存分析,使用Cox比例风险回归模型筛选复发、转移的独立预测因素。绘制受试者操作特征(ROC)曲线并计算ROC曲线下面积(AUC),检验独立危险因素预测无复发生存的准确度。

结果

本组患者5年、10年无复发生存率分别为93.90% (95%CI: 92.30%~95.40%)和87.10% (95%CI: 84.00%~90.20%)。单因素Cox比例风险回归模型显示:是否接受内分泌治疗、肿瘤最大径及Ki-67水平是复发、转移的影响因素(HR=5.39, 95%CI: 3.25~8.94, P<0.001;HR=1.28, 95%CI: 1.11~1.48, P=0.001;HR=1.92, 95%CI: 1.24~2.96, P=0.003)。多因素Cox比例风险回归分析表明:是否接受内分泌治疗、肿瘤最大径及Ki-67水平是患者术后复发、转移的独立预测因素(HR=4.76, 95%CI: 2.83~8.02, P<0.001;HR=1.17, 95%CI: 1.01~1.37, P=0.043;HR=1.79, 95%CI: 1.16~2.76, P=0.009);未接受内分泌治疗者术后复发、转移的风险是接受内分泌治疗者的4.76倍;Ki-67水平>20%者术后出现复发、转移的风险是Ki-67水平≤20%者的1.79倍。AUC显示,以上3个变量预测T1~3N0M0期HR(+)/HER-2(-)浸润性乳腺癌患者术后无复发生存的准确度较好,3、5、10年AUC分别为0.73 (95%CI: 0.67~0.80, P<0.001)、0.72 (95%CI: 0.66~0.78, P<0.001)和0.68 (95%CI: 0.62~0.75, P<0.001)。

结论

在T1~3N0M0期HR(+)/HER-2(-)浸润性乳腺癌患者中,是否接受内分泌治疗、肿瘤最大径和Ki-67水平3个因素联合能够较准确地预测患者术后无复发生存情况,可能会为指导个体化治疗提供一定帮助。

Objective

To analyze the risk factors of recurrence and metastasis in female patients with hormone receptor(HR)-positive/HER-2-negative T1-3N0M0 invasive breast cancer.

Methods

The clinicopathological data of 1 064 patients with HR-positive/HER-2-negative T1-3N0M0 invasive breast cancer in the Xijing Hospital of Air Force Medical University from January 1, 2008 to December 31, 2017 were retrospectively analyzed. Kaplan-Meier method was used to make survival analysis. The Cox proportional risk regression model was used to explore independent prognostic factors for recurrence and metastasis. Receiver operating characteristic (ROC) curve was drawn and area under the curve (AUC) was calculated to assess the accuracy of independent factors in predicting the recurrence-free survival.

Results

The 5-year and 10-year recurrence-free survival in these patients were 93.90% (95%CI: 92.30%-95.40%) and 87.10% (95%CI: 84.00%-90.20%), respectively. Univariate Cox proportional risk regression analysis showed that endocrine therapy, maximum diameter of the tumor and Ki-67 expression were affecting factors for recurrence and metastasis (HR=5.39, 95%CI: 3.25-8.94, P<0.001; HR=1.28, 95%CI: 1.11-1.48, P=0.001; HR=1.92, 95%CI: 1.24-2.96, P=0.003). Multivariate Cox proportional risk regression analysis showed that endocrine therapy, maximum diameter of the tumor and Ki-67 expression were independent prognostic factors of recurrence and metastasis (HR=4.76, 95%CI: 2.83-8.02, P<0.001; HR=1.17, 95%CI: 1.01-1.37, P=0.043; HR=1.79, 95%CI: 1.16-2.76, P=0.009). The risk of postoperative recurrence and metastasis in patients who did not receive endocrine therapy was 4.76 times as high as that in patients with endocrine therapy; the risk of postoperative recurrence and metastasis in patients with Ki-67 level >20% was 1.79 times as high as that in patients with Ki-67 level ≤20%. The AUC indicated that the above-mentioned three variables had high accuracy in predicting postoperative recurrence-free survival in HR-positive/HER-2-negative T1-3N0M0 invasive breast cancer. The 3-year, 5-year, and 10-year AUC was 0.73 (95%CI: 0.67-0.80, P<0.001), 0.72 (95%CI: 0.66-0.78, P<0.001), 0.68 (95%CI: 0.62-0.75, P<0.001), respectively.

Conclusion

In patients with HR-positive/ HER-2-negative T1-3N0M0 invasivebreast cancer, the combination of these three factors (endocrine therapy, maximum diameter of the tumor and Ki-67 expression)can predict postoperative recurrence-free survival and provide guidance for individualized treatment.

表1 T1~3N0M0期HR(+)/HER-2(-)浸润性乳腺癌患者无复生存的Cox比例风险回归分析变量赋值表
表2 T1~3N0M0期HR(+)/HER-2(-)浸润性乳腺癌患者的复发、转移情况[例(%)]
临床特征 无复发、转移(n=982) 复发、转移(n=82) 检验值 P
确诊时年龄        
  ≤40岁 160(16.3) 19(23.2) Z=-0.391 0.696
  41~50岁 406(41.3) 27(32.9)
  51~60岁 229(23.3) 18(22.0)
  61~70岁 133(13.5) 16(19.5)
  >70岁 54(5.5) 2(2.4)
确诊时月经状态        
  绝经后 390(39.7) 36(43.9) χ2=0.553 0.457
  绝经前 592(60.3) 46(56.1)
肿瘤最大径[cm,M(P25P75)]        
    1.6(1.2,2.1) 1.9(1.5,2.5) Z=-2.925 0.003
肿瘤位置        
  左侧 485(49.4) 35(42.7) χ2=1.362 0.243
  右侧 497(50.6) 47(57.3)
组织学类型        
  预后良好型a 72(7.3) 3(3.7) χ2=1.617 0.656
  IDC/NST 822(83.7) 72(87.8)
  浸润性小叶癌 37(3.8) 3(3.7)
  其他b 51(5.2) 4(4.9)
组织学分级        
  1级 129(13.1) 8(9.8) Z=-1.153 0.249
  2级 772(78.6) 65(79.3)
  3级 81(8.2) 9(11.0)
雌激素受体状态        
  阳性 965(98.3) 78(95.1)   0.072c
  阴性 17(1.7) 4(4.9)  
孕激素受体状态        
  阳性 867(88.3) 74(90.2) χ2=0.283 0.595
  阴性 115(11.7) 8(9.8)
HR状态        
  ER(+)、PR(-) 115(11.7) 8(9.8) χ2=4.060 0.131
  ER(+)、PR(+) 850(86.6) 70(85.4)
  ER(-)、PR(+) 17(1.7) 4(4.9)
Ki-67水平        
  ≤20% 657(66.9) 43(52.4) χ2=7.036 0.008
  >20% 325(33.1) 39(47.6)
脉管癌栓        
  阴性 970(98.8) 80(97.6)   0.294c
  阳性 12(1.2) 2(2.4)  
镜下软组织侵犯        
  阴性 946(96.3) 79(96.3)   1.000c
  阳性 36(3.7) 3(3.7)  
术中切缘状态        
  阴性 965(98.3) 80(97.6)   0.653c
  阳性 17(1.7) 2(2.4)  
手术方式        
  乳房切除手术 644(65.6) 58(70.7) χ2=0.895 0.344
  保留乳房手术 338(34.4) 24(29.3)
内分泌治疗        
  937(95.4) 62(75.6) χ2=51.768 <0.001
  45(4.6) 20(24.4)
化疗        
  618(62.9) 62(75.6) χ2=5.273 0.022
  364(37.1) 20(24.4)
放射治疗        
  296(30.1) 21(25.6) χ2=0.743 0.389
  686(69.9) 61(74.4)
图1 1 064例T1~3N0M0期HR(+)/HER-2(-)浸润性乳腺癌患者的无复发生存曲线 注:HR为激素受体;HER-2为人表皮生长因子受体2
表3 T1~3N0M0期HR(+)/HER-2(-)浸润性乳腺癌患者无复发生存的单因素Cox比例风险回归分析
因素 HR 95%CI P
确诊时年龄      
  ≤40岁 1.00    
  41~50岁 0.59 0.33~1.06 0.080
  51~60岁 0.70 0.37~1.33 0.278
  61~70岁 1.15 0.59~2.24 0.675
  >70岁 0.44 0.10~1.89 0.270
确诊时月经状态      
  绝经后 1.00    
  绝经前 0.79 0.51~1.23 0.296
肿瘤最大径 1.28 1.11~1.48 0.001
肿瘤位置      
  左侧 1.00    
  右侧 1.33 0.86~2.06 0.204
组织学类型      
  预后良好型a 1.00    
  IDC/NST 2.05 0.64~6.50 0.224
  浸润性小叶癌 1.83 0.37~9.05 0.461
  其他b 2.11 0.47~9.43 0.328
组织学分级      
  1级 1.00    
  2级 1.24 0.560~2.59 0.561
  3级 1.60 0.62~4.16 0.331
雌激素受体状态      
  阳性 1.00    
  阴性 2.49 0.91~6.82 0.075
孕激素受体状态      
  阳性 1.00    
  阴性 0.74 0.36~1.54 0.427
HR状态      
  ER(+)、PR(-) 1.00    
  ER(+)、PR(+) 1.30 0.62~2.70 0.482
  ER(-)、PR(+) 3.14 0.95~10.45 0.061
Ki-67水平      
  ≤20% 1.00    
  >20% 1.92 1.24~2.96 0.003
脉管癌栓      
  阴性 1.00    
  阳性 2.35 0.58~9.58 0.232
镜下软组织侵犯      
  阴性 1.00    
  阳性 0.85 0.28~2.77 0.819
术中切缘状态      
  阴性 1.00    
  阳性 2.14 0.52~8.77 0.288
手术方式      
  乳房切除手术 1.00    
  保留乳房手术 0.93 0.58~1.51 0.779
内分泌治疗      
  1.00    
  5.39 3.25~8.94 <0.001
化疗      
  1.00    
  0.76 0.46~1.27 0.298
放射治疗      
  1.00    
  1.16 0.71~1.91 0.555
图2 肿瘤最大径、Ki-67水平及是否接受内分泌治疗3个独立预测因素共同预测T1~3N0M0期HR(+)/HER-2(-)浸润性乳腺癌患者无复发生存的ROC曲线 a、b、c图分别为患者3、5、10年无复发生存的ROC曲线 注:预测患者3、5、10年无复发生存的ROC曲线下面积及其95%CI分别为0.73 (95%CI:0.67~0.80)、0.72 (95%CI: 0.66~0.78)和0.68 (95%CI: 0.62~0.75), P均<0.001;HR为激素受体;HER-2为人表皮生长因子受体2;ROC为受试者操作特征
[1]
Sung H, Ferlay J, Siegel RL, et al. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries[J]. CA Cancer J Clin, 2021, 71(3): 209-249.
[2]
Cao W, Chen HD, Yu YW, et al. Changing profiles of cancer burden worldwide and in China: a secondary analysis of the global cancer statistics 2020[J]. Chin Med J (Engl), 2021, 134(7): 783-791.
[3]
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.
[4]
Eroles P, Bosch A, Pérez-Fidalgo JA, et al. Molecular biology in breast cancer: intrinsic subtypes and signaling pathways[J]. Cancer Treat Rev, 2012, 38(6): 698-707.
[5]
Howlader N, Altekruse SF, Li CI, et al. US incidence of breast cancer subtypes defined by joint hormone receptor and HER-2 status[J]. J Natl Cancer Inst, 2014, 106(5): dju055.
[6]
van Maaren MC, de Munck L, Strobbe LJA, et al. Ten-year recurrence rates for breast cancer subtypes in the Netherlands: A large population-based study[J]. Int J Cancer2019144(2):263-272.
[7]
Sparano JA, Zhao F, Martino S, et al. Long-term follow-up of the E1199 phase III trial evaluating the role of taxane and schedule in operable breast cancer[J]. J Clin Oncol201533(21):2353-2360.
[8]
Chen J, Wu X, Christos PJ, et al. Practice patterns and outcomes for patients with node-negative hormone receptor-positive breast cancer and intermediate 21-gene Recurrence Scores[J]. Breast Cancer Res, 2018, 20(1):26.
[9]
Vaz-Luis I, Ottesen RA, Hughes ME, et al. Outcomes by tumor subtype and treatment pattern in women with small, node-negative breast cancer: a multi-institutional study[J]. J Clin Oncol, 2014, 32(20): 2142-2150.
[10]
Thürlimann B, Price KN, Gelber RD, et al. Is chemotherapy necessary for premenopausal women with lower-risk node-positive, endocrine responsive breast cancer? 10-year update of International Breast Cancer Study Group Trial 11-93[J]. Breast Cancer Res Treat, 2009, 113(1): 137-144.
[11]
Sparano JA, Gray RJ, Makower DF, et al. Adjuvant chemotherapy guided by a 21-Gene Expression Assay in breast cancer[J]. N Engl J Med, 2018, 379(2): 111-121.
[12]
Kalinsky K, Barlow WE, Gralow JR, et al. 21-Gene Assay to inform chemotherapy benefit in node-positive breast cancer[J]. N Engl J Med, 2021, 385(25): 2336-2347.
[13]
Fisher B, Dignam J, Wolmark N, et al. Tamoxifen and chemotherapy for lymph node-negative, estrogen receptor-positive breast cancer [J]. J Natl Cancer Inst, 1997, 89(22): 1673-1682.
[14]
Albanell J, Svedman C, Gligorov J, et al. Pooled analysis of prospective European studies assessing the impact of using the 21-gene Recurrence Score assay on clinical decision making in women with oestrogen receptor-positive, human epidermal growth factor receptor 2-negative early-stage breast cancer[J]. Eur J Cancer, 2016, 66:104-113.
[15]
Orucevic A, Heidel RE, Bell JL. Utilization and impact of 21-gene recurrence score assay for breast cancer in clinical practice across the United States: lessons learned from the 2010 to 2012 National Cancer Data Base analysis[J]. Breast Cancer Res Treat, 2016, 157(3): 427-435.
[16]
Nguyen TTA, Postlewait LM, Zhang C, et al. Utility of Oncotype DX score in clinical management for T1 estrogen receptor positive, HER2 negative, and lymph node negative breast cancer[J]. Breast Cancer Res Treat, 2022192(3):509-516.
[17]
Koscielny S, Tubiana M, MG, et al. Breast cancer: relationshipbetween the size of the primary tumour and the probability of metastatic dissemination[J]. Br J Cancer, 1984, 49(6):709-715.
[18]
Fisher B, Slack NH. Number of lymph nodes examined and the prognosis of breast carcinoma [J]. Surg Gynecol Obstet, 1970, 131(1):79-88.
[19]
Mueller CB, Ames F, Anderson GD. Breast cancer in 3 558 women: age as a significant determinant in the rate of dying and causes of death[J]. Surgery, 1978, 83(2): 123-132.
[20]
Elston CW, Ellis IO. Pathological prognostic factors in breast cancer. I. The value of histological grade in breast cancer: experience from a large study with long-term follow-up[J]. Histopathology, 1991, 19(5):403-410.
[21]
Nguyen PL, Taghian AG, Katz MS, et al. Breast cancer subtype approximated by estrogen receptor, progesterone receptor, and HER-2 is associated with local and distant recurrence after breast-conserving therapy[J]. J Clin Oncol, 2008, 26(14): 2373-2378.
[22]
Engelhardt EG, Garvelink MM, de Haes JH, et al. Predicting and communicating the risk of recurrence and death in women with early-stage breast cancer: a systematic review of risk prediction models[J]. J Clin Oncol, 2014, 32(3): 238-250.
[23]
Amin MB, Edge S, Greene F, et al. AJCC cancer staging manual[M]. 8th ed. New York: Springer, 2016:589-628.
[24]
Rosen PR, Groshen S, Saigo PE, et al. A long-term follow-up study of survival in stage Ⅰ (T1N0M0) and stage Ⅱ (T1N1M0) breast carcinoma[J]. J Clin Oncol, 1989, 7(3): 355-366.
[25]
Fisher B, Jeong JH, Bryant J, et al. Treatment of lymph-node-negative, oestrogen-receptor-positive breast cancer: long-term findings from National Surgical Adjuvant Breast and Bowel Project randomised clinical trials[J]. Lancet, 2004, 364(9437): 858-868.
[26]
Allison KH, Hammond MEH, Dowsett M, et al. Estrogen and progesterone receptor testing in breast cancer: ASCO/CAP guideline update[J]. J Clin Oncol, 2020, 38(12): 1346-1366.
[27]
Wolff AC, Hammond ME, Hicks DG, et al. Recommendations for human epidermal growth factor receptor 2 testing in breast cancer: American Society of Clinical Oncology/College of American Pathologists clinical practice guideline update[J]. J Clin Oncol, 2013, 31(31):3997-4013.
[28]
Goldhirsch A, Winer EP, Coates AS, et al. Personalizing the treatment of women with early breast cancer: highlights of the St. Gallen International Expert Consensus on the Primary Therapy of Early Breast Cancer 2013[J]. Ann Oncol, 2013, 24(9): 2206-2223.
[29]
Metzger-Filho O, Sun Z, Viale G, et al. Patterns of Recurrence and outcome according to breast cancer subtypes in lymph node-negative disease: results from international breast cancer study group trials Ⅷ and Ⅸ [J]. J Clin Oncol, 2013, 31(25): 3083-3090.
[30]
何英剑,范照青,李金锋,等. 腋窝淋巴结状态对不同类型浸润性乳腺癌预后的影响[J]. 中华医学杂志2021, 101(30): 2382-2386.
[31]
Penault-Llorca F, Radosevic-Robin N. Ki67 assessment in breast cancer: an update[J]. Pathology, 2017, 49(2): 166-171.
[32]
Ignatiadis M, Azim HA Jr, Desmedt C, et al. The genomic Grade assay compared with Ki67 to determine risk of distant breast cancer recurrence[J]. JAMA Oncol, 2016, 2(2): 217-224.
[33]
马琴,厚玉瑾,高旭彤,等. HR+/HER2-乳腺癌患者Ki-67临界值的确定及表达对早期复发转移的影[J]. 天津医药2021, 49(12): 1319-1323.
[34]
Regan MM, Francis PA, Pagani O, et al. Absolute benefit of adjuvant endocrine therapies for premenopausal women with hormone receptor-positive, human epidermal growth factor receptor 2-negative early breast cancer: TEXT and SOFT trials[J]. J Clin Oncol, 2016, 34(19): 2221-2231.
[35]
Pagani O, Francis PA, Fleming GF, et al. Absolute improvements in freedom from distant recurrence to tailor adjuvant endocrine therapies for premenopausal women: results from TEXT and SOFT[J]. J Clin Oncol, 2020, 38(12): 1293-1303.
[36]
Gradishar WJ, Moran MS, Abraham J, et al. NCCN guidelines® insights: breast cancer, version 4.2021 [J]. J Natl Compr Canc Netw, 2021, 19(5): 484-493.
[37]
Paik S, Shak S, Tang G, et al. A multigene assay to predict recurrence of tamoxifen-treated, node-negative breast cancer[J]. N Engl J Med, 2004, 351(27): 2817-2826.
[38]
Lee SB, Kim J, Sohn G, et al. A nomogram for predicting the Oncotype DX recurrence score in women with T1-3N0-1miM0 hormone receptor positive, human epidermal growth factor 2 (HER-2) negative breast cancer[J]. Cancer Res Treat, 2019, 51(3): 1073-1085.
[39]
Klein ME, Dabbs DJ, Shuai Y, et al. Prediction of the Oncotype DX recurrence score: use of pathology-generated equations derived by linear regression analysis[J]. Mod Pathol, 2013, 26(5): 658-664.
[40]
Kraus JA, Dabbs DJ, Beriwal S, et al. Semi-quantitative immunohistochemical assay versus oncotype DX(®) qRT-PCR assay for estrogen and progesterone receptors: an independent quality assurance study [J]. Mod Pathol, 2012, 25(6): 869-876.
[41]
Cuzick J, Dowsett M, Pineda S, et al. Prognostic value of a combined estrogen receptor, progesterone receptor, Ki-67, and human epidermal growth factor receptor 2 immunohistochemical score and comparison with the genomic health recurrence score in early breast cancer [J]. J Clin Oncol, 2011, 29(32): 4273-4278.
[42]
罗凤,陈霞.乳腺癌患者辅助内分泌治疗依从性现状及对策的研究进展[J/CD].中华乳腺病杂志(电子版), 2020, 14(2): 116-119.
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