Wang Chao-Jie, Zhou Zong-Guang, Holmqvist Annica, Zhang Hong, Li Yuan, Adell Gunnar, Sun Xiao-Feng
Institute of Digestive Surgery, Department of Colorectal Surgery, and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China.
Appl Immunohistochem Mol Morphol. 2009 Dec;17(6):530-5. doi: 10.1097/PAI.0b013e3181a13bf2.
Over the past decades, immunohistochemistry has gained significance and already taken a crucial position in diagnosis of diseases and prognosis of patients. However, manual interpretation of immunohistochemistry and reproducibility of the scoring systems can be highly subjective. In the article, the immunohistochemical staining of survivin in 98 rectal cancers was analyzed by using Image Pro-Plus (IPP) [3 parameters: density mean, area sum, and integrated optical density (IOD)] and the results were compared with visual assessment (2 parameters: intensity and percentage). The correlations between the 2 methods were examined, significant correlations were observed between density mean and staining intensity (Spearman correlation coefficient, rs=0.806, P<0.001), IOD and staining intensity (rs=0.914, P<0.001), area sum and staining percentage (rs=0.883, P<0.001), IOD and staining percentage (rs=0.884, P<0.001). There was no significant difference between survivin expression and clinicopathologic variables (P>0.05) by visual assessment. However, by IPP analysis, both the density mean and IOD were higher in better-differentiated cancers than in worse differentiated ones (P=0.02 and 0.03). There was a substantial agreement between the 2 methods. Density mean and IOD of IPP were representative parameters to assess the immunostaining quantification, and increased sensitivity in scoring and provided a more reliable and reproducible analysis of protein expression, especially, more information of the protein expression in relation to clinicopathologic variables can be provided by IPP analysis.
在过去几十年中,免疫组织化学已变得至关重要,并在疾病诊断和患者预后评估中占据了关键地位。然而,免疫组织化学的人工解读以及评分系统的可重复性可能具有高度主观性。在本文中,使用Image Pro-Plus软件(3个参数:平均密度、面积总和以及积分光密度(IOD))分析了98例直肠癌中生存素的免疫组织化学染色情况,并将结果与视觉评估(2个参数:强度和百分比)进行了比较。研究了这两种方法之间的相关性,观察到平均密度与染色强度之间存在显著相关性(Spearman相关系数,rs = 0.806,P < 0.001),IOD与染色强度之间存在显著相关性(rs = 0.914,P < 0.001),面积总和与染色百分比之间存在显著相关性(rs = 0.883,P < 0.001),IOD与染色百分比之间存在显著相关性(rs = 0.884,P < 0.001)。通过视觉评估,生存素表达与临床病理变量之间无显著差异(P > 0.05)。然而,通过IPP分析,高分化癌的平均密度和IOD均高于低分化癌(P = 0.02和0.03)。这两种方法之间存在高度一致性。IPP的平均密度和IOD是评估免疫染色定量的代表性参数,提高了评分的敏感性,并提供了更可靠和可重复的蛋白质表达分析,特别是,IPP分析可以提供更多与临床病理变量相关的蛋白质表达信息。