Brennan Donal J, Rexhepaj Elton, O'Brien Sallyann L, McSherry Elaine, O'Connor Darran P, Fagan Ailís, Culhane Aedín C, Higgins Desmond G, Jirstrom Karin, Millikan Robert C, Landberg Goran, Duffy Michael J, Hewitt Stephen M, Gallagher William M
UCD School of Biomolecular and Biomedical Science and UCD School of Medicine and Medical Science, UCD Conway Institute, University College Dublin, Belfield, Dublin, Ireland.
Clin Cancer Res. 2008 May 1;14(9):2681-9. doi: 10.1158/1078-0432.CCR-07-1760.
Survivin (BIRC5) is a promising tumor biomarker. Conflicting data exist on its prognostic effect in breast cancer. These data may at least be partly due to the manual interpretation of immunohistochemical staining, especially as survivin can be located in both the nucleus and cytoplasm. Quantitative determination of survivin expression using image analysis offers the opportunity to develop alternative scoring models for survivin immunohistochemistry. Here, we present such a model.
A breast cancer tissue microarray containing 102 tumors was stained with an anti-survivin antibody. Whole-slide scanning was used to capture high-resolution images. These images were analyzed using automated algorithms to quantify the staining.
Increased nuclear, but not cytoplasmic, survivin was associated with a reduced overall survival (OS; P = 0.038) and disease-specific survival (P = 0.0015). A high cytoplasmic-to-nuclear ratio (CNR) of survivin was associated with improved OS (P = 0.005) and disease-specific survival (P = 0.05). Multivariate analysis revealed that the survivin CNR was an independent predictor of OS (hazard ratio, 0.09; 95% confidence interval, 0.01-0.76; P = 0.027). A survivin CNR of >5 correlated positively with estrogen receptor (P = 0.019) and progesterone receptor (P = 0.033) levels, whereas it was negatively associated with Ki-67 expression (P = 0.04), p53 status (P = 0.005), and c-myc amplification (P = 0.016).
Different prognostic information is supplied by nuclear and cytoplasmic survivin in breast cancer. Nuclear survivin is a poor prognostic marker in breast cancer. Moreover, CNR of survivin, as determined by image analysis, is an independent prognostic factor.
生存素(BIRC5)是一种很有前景的肿瘤生物标志物。关于其在乳腺癌中的预后作用存在相互矛盾的数据。这些数据可能至少部分归因于免疫组织化学染色的人工解读,尤其是因为生存素可定位于细胞核和细胞质中。使用图像分析对生存素表达进行定量测定为开发生存素免疫组织化学的替代评分模型提供了机会。在此,我们展示这样一个模型。
用抗生存素抗体对包含102个肿瘤的乳腺癌组织微阵列进行染色。使用全玻片扫描来捕获高分辨率图像。使用自动化算法对这些图像进行分析以量化染色。
核内而非胞质内生存素增加与总生存期(OS;P = 0.038)和疾病特异性生存期(P = 0.0015)降低相关。生存素的高胞质与核比率(CNR)与改善的OS(P = 0.005)和疾病特异性生存期(P = 0.05)相关。多变量分析显示生存素CNR是OS的独立预测因子(风险比,0.09;95%置信区间,0.01 - 0.76;P = 0.027)。生存素CNR>5与雌激素受体(P = 0.019)和孕激素受体(P = 0.033)水平呈正相关,而与Ki-67表达(P = 0.04)、p53状态(P = 0.005)和c-myc扩增(P = 0.016)呈负相关。
乳腺癌中核内和胞质内生存素提供不同的预后信息。核内生存素是乳腺癌的不良预后标志物。此外,通过图像分析确定的生存素CNR是一个独立的预后因素。