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使用自动图像分析得出的微血管面积具有可重复性,且与乳腺癌的预后相关。

Microvessel area using automated image analysis is reproducible and is associated with prognosis in breast cancer.

作者信息

Sullivan C A W, Ghosh S, Ocal I T, Camp R L, Rimm David L, Chung G G

机构信息

Yale University School of Medicine, Yale Cancer Center, Section of Medical Oncology, 333 Cedar St, New Haven, CT 06520, USA.

出版信息

Hum Pathol. 2009 Feb;40(2):156-65. doi: 10.1016/j.humpath.2008.07.005. Epub 2008 Sep 16.

Abstract

Microvessel density may be one measure of tumor associated angiogenesis but is methodologically difficult to standardize and reproduce. We used our automated quantitative image analysis system, AQUA, to more objectively assess microvessel area. Cytokeratin and CD31 were used to create tumor and vessel compartments respectively with AQUA. Microvessel area was defined as CD31 compartment area normalized to the tissue spot area (CD31 area/area of entire tissue spot). Consecutive breast cancer whole sections were stained with CD31 to compare pathologist-based microvessel density with AQUA microvessel area. Microvessel areas of 3-fold redundant tissue microarrays of 652 primary breast cancers were also assessed. CD34 and factor VIII-related antigen were also tested. There was nearly linear correlation between pathologist's microvessel density and AQUA microvessel area with regression coefficient R = 0.846. On the redundant arrays, of the 67% evaluable cases, 52% were microvessel area high and 48% low with good reproducibility of scores (Spearman rho 0.551). AQUA microvessel area was associated with larger tumors, node positivity, and estrogen receptor negativity, with 20 year survival at the univariate and multivariate levels (P < .0001 and P = .0121, respectively). CD34 or factor VIII-related antigen were more heterogenous, had poor association with CD31, and did not correlate with outcome. AQUA-based microvessel area was significantly correlated with both standard breast cancer prognostic parameters as well as with clinical outcome. In the future, it may also allow the use of the AQUA-based algorithms to quantify the expression of angiogenic biomarkers to either tumor or microvessel area-specific compartments.

摘要

微血管密度可能是肿瘤相关血管生成的一种衡量指标,但在方法学上难以标准化和重复。我们使用我们的自动定量图像分析系统AQUA,以更客观地评估微血管面积。细胞角蛋白和CD31分别用于通过AQUA创建肿瘤和血管区域。微血管面积定义为CD31区域面积除以组织斑点面积(CD31面积/整个组织斑点面积)进行归一化。连续的乳腺癌全切片用CD31染色,以比较基于病理学家的微血管密度与AQUA微血管面积。还评估了652例原发性乳腺癌的3倍冗余组织微阵列的微血管面积。也对CD34和因子VIII相关抗原进行了检测。病理学家的微血管密度与AQUA微血管面积之间存在几乎线性的相关性,回归系数R = 0.846。在冗余阵列上,67%可评估的病例中,52%微血管面积高,48%低,评分具有良好的可重复性(Spearman秩相关系数0.551)。AQUA微血管面积与较大肿瘤、淋巴结阳性和雌激素受体阴性相关,在单变量和多变量水平上与20年生存率相关(分别为P < .0001和P = .0121)。CD34或因子VIII相关抗原更具异质性,与CD31的相关性较差,且与预后无关。基于AQUA的微血管面积与标准乳腺癌预后参数以及临床结果均显著相关。未来,它还可能允许使用基于AQUA的算法来量化血管生成生物标志物在肿瘤或微血管区域特异性区域的表达。

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