期刊文献+

IVIM-DWI参数与乳腺浸润性导管癌预后因子ER、c-erbB-2的相关性 被引量:6

Correlation between the IVIM-derived parameters and prognostic biomarkers of ER and c-erb B-2 in breast invasive ductal carcinoma
下载PDF
导出
摘要 目的:探讨体素内不相关运动扩散加权成像(IVIM-DWI)参数与乳腺浸润性导管癌预后因子雌激素受体(ER)、人类表皮生长因子受体(c-erb B-2)的相关性。方法:回顾性分析42例乳腺浸润性导管癌患者的IVIM-DWI图像和免疫组织化学染色结果。采用Kruskal-Wallis检验及Spearman等级相关分析比较不同ER、c-erb B-2表达强度组间IVIM-DWI参数f值、D值、D*值的差异及其相关性。结果:不同ER表达强度组间f值、D*值存在统计学差异(P<0.05);且f值、D*值与ER表达强度存在弱负相关(r=-0.334,r=-0.281;均P<0.05)。不同c-erb B-2表达强度组间f值、D值、D*值差异均无统计学意义(P>0.05)且与c-erb B-2表达强度无明显相关性(P>0.05)。结论:f值、D*值与不同ER表达强度组间存在相关性,可为乳腺浸润性导管癌患者提供有价值的组织学信息。 Objective To investigate the possible correlations between IVIM-derived parameters of breast invasive ductal carcinoma and prognostic biomarkers of ER, c-erb B-2. Methods Data of immunohistochemistry and the images of 42 patients with breast invasive ductal carcinoma were retrospectively analyzed. The values of f,D and D*and the intensity of ER, c-erb B-2 expression were compared with Kruskal-Wallis test. The relationships between them were investigated by Spearman rank correlation. Results There were difference of f, D*values among different intensity of ER expression(P 〈0.05) and the values of f and D* were negatively correlated weakly with the ER expression(r =-0.334, r =-0.281; P 〈0.05). No significantly difference was found between IVIM-derived parameters and the prognostic factors of c-erb B-2(P 〈0.05), and there was no correlation betweenthem(P 〈0.05). Conclusion There is correlation between the values of f and D*and the intensity of ER expression. It reflects that IVIM-DWI might provide helpful tissue characterization parameters.
出处 《实用医学杂志》 CAS 北大核心 2016年第2期199-202,共4页 The Journal of Practical Medicine
基金 山东省自然科学基金资助项目(编号:Y2008C140)
关键词 体素内不相关运动 乳腺浸润性导管癌 雌激素受体 人类表皮生长因子受体-2 Intravoxel incoherent motion Invasive ductal breast carcinoma Estrogen receptor Human epidermalgrowth factor receptor-2
  • 相关文献

参考文献11

  • 1SIEGEL R, NAISHADHAM D, JEMAL A, et al. Cancer statistics [J]. CA, Cancer. J Clin , 2012,62(1): 10-29.
  • 2ALI SH, O'DONNELL AL, BALU D, et al. Estrogen receptoralpha in the inhibition of cancer growth and angiogenesis [J] . Cancer Res, 2000,60: 7094- 7098.
  • 3SCHOPPMANN SF, TAMANDL D, ROBERTS L, et al. HER2/ neu expression correlates with vascularendothelialgrowth factor-C and lymphangiogenesis in lymph node-positive breastcancer [J]. Ann Onccol , 2010,21(5) :995-960.
  • 4LE BIHAN D, BRETON E, LALLEMAND D, et al. Separation of diffusion and perfusion in intravoxel incoherent motion MR imaging [J]. Radiology, 1988,168(2) :497-505.
  • 5林敏,陈忠清,包芸,李琼,杜尊国,许祖德,唐峰.乳腺浸润性导管癌分子亚型与临床病理特征及预后的关系[J].中华病理学杂志,2010,39(6):372-376. 被引量:20
  • 6刘春玲,何晖,刘再毅,张水兴,梁长虹.ADC值与乳腺浸润性导管癌预后标记物间相关性的探讨[J].临床放射学杂志,2014,33(2):194-198. 被引量:13
  • 7CHOI SY, CHANG YW, PARK HJ, et al. Correlation of the apparent diffusion coeffiency values on diffusion-weighted imaging with prognostic factors for breast cancer [J]. Br J Radiol, 2012,85 (1016) : e474-479.
  • 8LUCIANI A, VIGNAUD A, CA VET M, et al. Liver cirrhosis: intravoxel incoherentmotion MR imaging-pilot study [J]. Radiology, 2008,249(3): 891-899.
  • 9韩瑞,夏黎明,孙子燕,黄璐,林华,陆玮.双指数表观扩散系数鉴别诊断椎体良、恶性病变[J].中国医学影像技术,2012,28(3):566-569. 被引量:12
  • 10KIM SH, CHA ES, KIM HS, et al. Diffusion-weighted imaging of breast cancer: correlation of the apparent diffusion coefficient value with prognostic factors [J]. Magn Reson Imaging, 2009, 30: 615.

二级参考文献36

  • 1于慧,胡夕春.侵袭性细胞基底样乳腺癌的生物学特征[J].中华肿瘤防治杂志,2007,14(3):234-236. 被引量:4
  • 2Sotiriou C,Neo SY,McShane 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(18):10393-10398.
  • 3Carey LA,Perou CM,Livasy CA,et al.Race,breast cancer subtypes,and survival in the Carolina Breast Cancer Study.JAMA,2006,295(21):2492-2502.
  • 4Jacquemier J,Ginestier C,Rougemont J,et al.Protein expression profiling identifies subclasses of breast cancer and predicts prognosis.Cancer Res,2005,65(3):767-779.
  • 5Goldhirsch A,Glick JH,Gelber RD,et al.Meeting highlights:international expert consensus on the primary therapy of early breast cancer 2005.Ann Oncol,2005,16(10):1569-1583.
  • 6Hammock L,Lewis M,Phillips C,et al.Strong HER-2/neu protein overexpression by immunohistochemistry often does not predict oncogene amplification by fluorescence in situ hybridization.Hum Pathol,2003,34(10):1043-1047.
  • 7Sφrlie T,Tibshirani R,Parker J,et al.Repeated observation of breast tumor subtypes in independent gene expression data sets.Proc Nad Acad Sci U S A,2003,100(14):8418-8423.
  • 8van de Rijn M,Perou CM,Tibshirani R,et al.Expression of cytokeratins 17 and 5 identifies a group of breast carcinomas with poor clinical outcome.Am J Pathol,2002,161(6):1991-1996.
  • 9Brenton JD,Carey LA,Ahmed AA,et al.Molecular classification and molecular forecasting of breast cancer;ready for clinical application? J Clin Oncol,2005,23(29):7350-7360.
  • 10Ihemelandu CU,Naab TJ,Mezghebe HM,et al.Treatment and survival outcome for molecular breast cancer subtypes in black women.Ann Surg,2008,247(3):463-469.

共引文献42

同被引文献37

引证文献6

二级引证文献29

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