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本文引用的文献

1
Quantification of angiogenesis in solid human tumours: an international consensus on the methodology and criteria of evaluation.实体人类肿瘤血管生成的定量分析:关于评估方法和标准的国际共识
Eur J Cancer. 1996 Dec;32A(14):2474-84. doi: 10.1016/s0959-8049(96)00379-6.
2
Quantitation and prognostic value of breast cancer angiogenesis: comparison of microvessel density, Chalkley count, and computer image analysis.乳腺癌血管生成的定量分析及预后价值:微血管密度、Chalkley计数与计算机图像分析的比较
J Pathol. 1995 Nov;177(3):275-83. doi: 10.1002/path.1711770310.
3
Comparison of different immunohistochemical methods in the assessment of angiogenesis: lack of prognostic value in a group of 77 selected node-negative breast carcinomas.不同免疫组织化学方法在评估血管生成中的比较:对77例经选择的淋巴结阴性乳腺癌患者缺乏预后价值
Mod Pathol. 1995 Sep;8(7):745-52.
4
Prognostic value of intratumoral microvessel density, a measure of tumor angiogenesis, in node-negative breast carcinoma--results of a multiparametric study.瘤内微血管密度(一种肿瘤血管生成的测量指标)在淋巴结阴性乳腺癌中的预后价值——一项多参数研究的结果
Breast Cancer Res Treat. 1995;36(2):205-17. doi: 10.1007/BF00666041.
5
Assessment of tumour vascularity as a prognostic factor in lymph node negative invasive breast cancer.评估肿瘤血管生成作为淋巴结阴性浸润性乳腺癌的一个预后因素。
Eur J Cancer. 1993;29A(8):1141-5. doi: 10.1016/s0959-8049(05)80304-1.
6
Intratumoral microvessel density and p53 protein: correlation with metastasis in head-and-neck squamous-cell carcinoma.肿瘤内微血管密度与p53蛋白:与头颈部鳞状细胞癌转移的相关性
Int J Cancer. 1993 Nov 11;55(5):739-44. doi: 10.1002/ijc.2910550507.
7
Microvessel quantitation in invasive breast cancer by staining for factor VIII-related antigen.通过因子VIII相关抗原染色对浸润性乳腺癌中的微血管进行定量分析。
Br J Cancer. 1995 Jun;71(6):1297-301. doi: 10.1038/bjc.1995.251.
8
Tumor angiogenesis is an independent prognostic indicator in primary breast carcinoma.肿瘤血管生成是原发性乳腺癌的一个独立预后指标。
Int J Cancer. 1993 Sep 30;55(3):371-4. doi: 10.1002/ijc.2910550305.
9
Assessment of angiogenesis in breast carcinoma: an important factor in prognosis?乳腺癌血管生成的评估:预后的一个重要因素?
Hum Pathol. 1995 Nov;26(11):1196-200. doi: 10.1016/0046-8177(95)90193-0.
10
Tumor angiogenesis as a prognostic assay for invasive ductal breast carcinoma.肿瘤血管生成作为浸润性导管癌的预后检测方法。
J Natl Cancer Inst. 1995 Jul 5;87(13):997-1008. doi: 10.1093/jnci/87.13.997.

研究浸润性乳腺癌中血管生成评估技术。

Examining the technique of angiogenesis assessment in invasive breast cancer.

作者信息

Martin L, Green B, Renshaw C, Lowe D, Rudland P, Leinster S J, Winstanley J

机构信息

Department of Surgery, University of Liverpool, UK.

出版信息

Br J Cancer. 1997;76(8):1046-54. doi: 10.1038/bjc.1997.506.

DOI:10.1038/bjc.1997.506
PMID:9376265
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2228092/
Abstract

The intensity of angiogenesis as measured by the density of microvessels has been reported to be associated with a poor prognosis in invasive breast cancer in some, but not all, studies. The reasons for these discrepancies may be variations in the methodologies used. The monoclonal antibody used to identify the microvessels, the number of high-density areas or 'hotspots' counted and the type of value taken for statistical analysis (highest count or mean count) have varied between the different studies. We have assessed which of the three commonly used monoclonal antibodies provides the best visualization of microvessels in invasive breast cancer and have used methods that give reproducible data for the optimum number of 'hotspots' to count for each reagent. Thus, microvessels in formalin-fixed paraffin-embedded specimens from 174 primary breast cancers were immunohistochemically stained with monoclonal antibodies to FVIIIRAg, CD31 and CD34 and ten fields counted at 200 x magnification for each antibody. The highest count and the mean value of the highest of three, five and ten counts were used to examine the relationship between the density of microvessels and overall survival of patients with a median follow-up time of 7.1 years. Antibodies to CD31 and CD34 identified more vessels than antibodies to FVIIIRAg (median highest count per mm2: CD31 = 100, CD34 = 100, FVIIIRAg = 81). The monoclonal antibody to CD31, however, was the least reliable antibody, immunohistochemically staining only 87% of sections compared with 98% for the monoclonal to CD34 and 99% for the monoclonal to FVIIIRAg. There was a high degree of correlation between the number of vessels stained by the different antibodies, though there were some considerable differences in actual counts for serial sections of the same specimen stained by the different antibodies. Patients could be divided into two groups corresponding to those with high microvessel densities and those with low microvessel densities. Using Kaplan-Meier survival curves, there was a close association for all three antibodies between vessel density and survival whichever method of recording the highest vessel densities was used. Using log-rank tests and Cox's regression analysis, anti-CD34 gave the most significant results of the three antibodies, whereas a simple cut-off at the 75th percentile for the high and low groups produced the best association with patient survival. For anti-CD34 the highest microvessel density (P = 0.0014) and the mean value of the highest three microvessel densities (P = 0.004) showed a good correlation with patient death, whereas for anti-CD31 (P = 0.008) and anti-FVIIIRAg (P = 0.007) the highest count gave the best correlation using Cox's regression analysis.

摘要

在一些(但并非所有)研究中,据报道,通过微血管密度测量的血管生成强度与浸润性乳腺癌的不良预后相关。这些差异的原因可能是所使用方法的不同。用于识别微血管的单克隆抗体、计数的高密度区域或“热点”数量以及用于统计分析的取值类型(最高计数或平均计数)在不同研究中有所不同。我们评估了三种常用单克隆抗体中哪一种能在浸润性乳腺癌中最佳显示微血管,并采用了能为每种试剂提供可重复数据的方法来确定最佳的“热点”计数数量。因此,对174例原发性乳腺癌福尔马林固定石蜡包埋标本中的微血管进行免疫组织化学染色,分别使用针对FVIIIRAg、CD31和CD34的单克隆抗体,每种抗体在200倍放大倍数下计数十个视野。使用最高计数以及三次、五次和十次计数中的最高值的平均值来检验微血管密度与中位随访时间为7.1年的患者总生存期之间的关系。与针对FVIIIRAg的抗体相比,针对CD31和CD34的抗体识别出更多的血管(每平方毫米最高计数中位数:CD31 = 100,CD34 = 100,FVIIIRAg = 81)。然而,针对CD31的单克隆抗体是最不可靠的抗体,免疫组织化学染色的切片仅占87%,而针对CD34的单克隆抗体为98%,针对FVIIIRAg的单克隆抗体为99%。不同抗体染色的血管数量之间存在高度相关性,尽管同一标本的连续切片用不同抗体实际计数存在一些显著差异。患者可分为微血管密度高和微血管密度低两组。使用Kaplan-Meier生存曲线,无论采用何种记录最高血管密度的方法,所有三种抗体的血管密度与生存率之间都密切相关。使用对数秩检验和Cox回归分析,抗CD34在三种抗体中给出的结果最显著,而在高低分组中以第75百分位数进行简单划分与患者生存率的相关性最佳。对于抗CD34,最高微血管密度(P = 0.0014)和最高三次微血管密度的平均值(P = 0.004)与患者死亡显示出良好的相关性,而对于抗CD31(P = 0.008)和抗FVIIIRAg(P = 0.007),使用Cox回归分析时最高计数的相关性最佳。