期刊文献+

不同分子分型乳腺癌的临床特征及预后分析 被引量:11

Clinical characteristics and prognosis analysis of different subtypes of breast cancer
下载PDF
导出
摘要 目的探讨不同分子分型乳腺癌的临床特点以及预后。方法收集重庆医科大学附属第二医院2009年1月至2012年4月收治的乳腺癌患者中有完整临床病历和随访资料的手术女性乳腺癌患者247例,根据雌激素受体(ER)、孕激素受体(PR)和人表皮生长因子受体2(HER-2)、ki-67的表达情况将乳腺癌分为Luminal A型、Luminal B型、HER-2过表达型和三阴性型4个类型,分析各临床特征对预后的差异及影响预后的因素。结果 Luminal A型117例(47.4%)、Luminal B型56例(22.7%)、Her-2过表达型15例(6.1%)和三阴性型59例(23.9%),各分子分型在组织分级、肿瘤直径、靶向治疗的差异有统计学意义(P<0.05)。对各类型转移部位差异进行Fisher确切概率计算,提示Luminal B型、三阴性型转移率较其他类型高,分别为19.6%、17.0%,其中转移部位以骨转移最为常见,但各类型转移部位的差异无统计学意义(P>0.05)。采用COX回归分析单因素、多因素分析结果显示肿瘤分期、脉管侵犯是影响乳腺癌患者总生存率和无病生存率的独立预后因素。结论不同分子分型乳腺癌的临床病理不同,其中luminal B型、三阴性型乳腺癌预后较差。 Objective To investigate the clinical characteristics and prognosis analysis of different molecular subtypes of breast cancer. Methods Clinical data of 247 patients with histopathologically confirmed resectable breast cancer,who were treated in our hospital from January 2009 to April 2012,were collected and analyzed in this study. The molecular subtypes were categorized as Luminal A subtype,Lumihal B subtype,human epidermal growth factor receptor-2( HER-2) over-expression subtype and triple negative subtype based on the expression of estrogen receptor( ER),progesterone receptor( PR),HER-2 and ki-67 protein. The correlation of prognosis of different molecular subtypes was analyzed. Results Among the 247 cases of breast cancer,Luminal A,Lumihal B,HER-2 over-expression and triple negative subtypes accounted for 117 cases( 47. 4%),56 cases( 22. 7%),15 cases( 6. 1%) and 59 cases( 23. 9%),respectively. There were statistically significant differences in the tissue grading,tumor size and targeted therapy among different molecular subtypes( P〈0. 05). Fisher exact calculation of metastatic sites of each subtype suggested that the metastasis rates of Luminal B and triple negative subtypes were 19. 6% and 17. 0%,respectively,higher than those of the other subtypes. The most common metastasis site was bone metastasis,without statistically significant differences among different subtypes( P〉0. 05). Univariate and multivariate analysis showed that organization classification and pathological types were independent prognostic factors affecting the disease free survival and the overall survival. Conclusion Different subtypes of breast cancer have different clinical characteristics. Luminal B and triple negative subtypes have poor prognosis.
出处 《第三军医大学学报》 CAS CSCD 北大核心 2015年第14期1424-1429,共6页 Journal of Third Military Medical University
关键词 乳腺肿瘤 分子分型 临床特征 预后 breast cancer subtypes clinical characteristics prognosis
  • 相关文献

参考文献24

  • 1Alkis N, Dumali A G, Arslan U Y, et al. Optimal timing of adjuvant treatment in patients with early breast cancer [ J ]. Med Oncol, 2011, 28(4) : 1255 - 1259.
  • 2Ferlay J, Shin H R, Bray F, et al. GLOBOCAN 2005, Canc- er Incidence and Mortality Worldwide: IARC Cancer Base No. 10 ~ M]. Lyon: International Agency for Research on Cancer, 2010.
  • 3杨玲,李连弟,陈育德,D.M.Parkin.中国乳腺癌发病死亡趋势的估计与预测[J].中华肿瘤杂志,2006,28(6):438-440. 被引量:278
  • 4张敏璐,黄哲宙,郑莹.中国2008年女性乳腺癌发病、死亡和患病情况的估计及预测[J].中华流行病学杂志,2012,33(10):1049-1051. 被引量:179
  • 5Perou C M, Sorlie T, Eisen M B, et al. Molecular portraits of human breast tumours [ J ]. Nature, 2000, 406 ( 6797 ) : 747 - 752.
  • 6Carey L A, Perou C M, Livasy C A, et al. Race, breast cancer subtypes, and survival in the Carolina Breast Cancer Study[J]. JAMA, 2006, 295(21): 2492-2502.
  • 7Chang H Y, Nuyten D S, Sneddon J B, et al. Robustness, scalability, and integration of a wound-response gene expres- sion signature in predicting breast cancer survival [ J ]. Proc Natl Acad Sci USA, 2005, 102(10) : 3738 -3743.
  • 8Dolled-Filhart M, Ryden L, Cregger M, et al. Classification of breast cancer using genetic algorithms and tissue microar- rays[J]. Clin Cancer Res, 2006, 12(21): 6459-6468.
  • 9Liu R, Wang X, Chen G Y, et al. The prognostic role of a gene signature from tumorigenic breast-cancer cells [ J ]. N Engl J Med, 2007, 356(3) : 217 -226.
  • 10Paik 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.

二级参考文献60

  • 1李连弟,鲁凤珠.1990—1992年中国恶性肿瘤死亡流行分布情况分析[J].中华肿瘤杂志,1996,18(6):403-407. 被引量:227
  • 2张清媛,赵文辉,康欣梅.c-erbB1 c-erbB2和丝裂原活化蛋白激酶与乳腺癌三苯氧胺耐药的关系[J].中华肿瘤杂志,2006,28(11):826-830. 被引量:6
  • 3van't Veer LJ, Dai H, van de Vijver MJ, et al. Gene expression profiling predicts clinical outcome of breast cancer. Nature, 2002, 415:530-536.
  • 4Sotiriou C, Neo SY, MeShane LM, et al. Breast cancer classification and prognosis based on gene expression profiles from a population based study. Proc Natl Acad Sci U S A, 2003, 100: 10393- 10398.
  • 5Rakha EA, El-Sayed ME, Green AR, et al. Prognostic markers in triple-negative breast cancer. Cancer, 2007, 109:25-32.
  • 6Jones C, Nonni AV, Fulford L, et al. CGH analysis of ductal carcinoma of the breast with basaloid/myoepithelial cell differentiation. Br J Cancer, 2001, 85:422-427.
  • 7Cunningham JE, Butler WM. Racial disparities in female breast cancer in South Carolina: clinical evidence for a biological basis. Breast Cancer Res Treat, 2004, 88 : 161-176.
  • 8Carey LA, Perou CM, Livasy CA, et al. Race, breast cancer subtypes, and survival in the Carolina Breast Cancer Study. JAMA, 2006, 295:2492-2502.
  • 9Lohrisch C, Piccart M. An overview of HER2. Semin Oncol, 2001, 28(6 Suppl 18) :3-11.
  • 10Vicini FA, Recht A. Age at diagnosis and outcome for women with ductal carcinoma-in-situ of the breast: a critical review of the literature. J Clin Oncol, 2002, 20:2736-2744.

共引文献533

同被引文献102

引证文献11

二级引证文献71

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部