Digital pattern recognition-based image analysis quantifies immune infiltrates in distinct tissue regions of colorectal cancer and identifies a metastatic phenotype.
Digital pattern recognition-based image analysis quantifies immune infiltrates in distinct tissue regions of colorectal cancer and identifies a metastatic phenotype.
复制标题
DOI：
10.1038/bjc.2013.487
复制
发表时间：
2013-09-17
影响因子：
8.8
通讯作者：
Cumberbatch, M.
中科院分区：
文献类型：
--
作者：
Angell, H. K.;Gray, N.;Womack, C.;Pritchard, D. I.;Wilkinson, R. W.;Cumberbatch, M.
在结直肠癌（CRC）的几项研究表明肿瘤免疫浸润和临床结果之间的关系。我们测试了基于数字模式识别的图像分析（DPRIA）系统的实用性，以分离组织区域并促进CRC中免疫浸润的自动定量。对原发性结直肠癌伴匹配肝转移灶（n=7）、单纯原发性结直肠癌（n=18）和原发性结直肠癌伴匹配正常组织（n=40）进行化学分析。Genie模式识别软件用于分离不同的组织区域，结合图像分析算法来量化免疫细胞。免疫浸润主要见于浸润边缘。定量图像分析显示，与肿瘤细胞团相比，原发性和转移性CRC间质中Foxp 3（P <0.0001）、CD 8（P<0.0001）、CD 68（<0.0001）和CD 31（<0.0001）阳性细胞的患病率显著增加。非转移性原发性CRC（MET-）和导致转移的原发性CRC（MET+）之间的直接比较显示出免疫抑制表型，与MET-样本相比，MET+基质中Foxp 3升高（P<0.05）和CD 8细胞数量减少（P<0.05）。通过结合免疫组化和DPRIA，我们证明了一个潜在的转移表型在大肠癌。我们的研究加速了自动化系统作为传统组织病理学技术的辅助手段的广泛接受和使用。
Several studies in colorectal cancer (CRC) indicate a relationship between tumour immune infiltrates and clinical outcome. We tested the utility of a digital pattern recognition-based image analysis (DPRIA) system to segregate tissue regions and facilitate automated quantification of immune infiltrates in CRC. Primary CRC with matched hepatic metastatic (n=7), primary CRC alone (n=18) and primary CRC with matched normal (n=40) tissue were analysed immunohistochemically. Genie pattern recognition software was used to segregate distinct tissue regions in combination with image analysis algorithms to quantify immune cells. Immune infiltrates were observed predominately at the invasive margin. Quantitative image analysis revealed a significant increase in the prevalence of Foxp3 (P<0.0001), CD8 (P<0.0001), CD68 (<0.0001) and CD31 (<0.0001) positive cells in the stroma of primary and metastatic CRC, compared with tumour cell mass. A direct comparison between non-metastatic primary CRC (MET−) and primary CRC that resulted in metastasis (MET+) showed an immunosuppressive phenotype, with elevated Foxp3 (P<0.05) and reduced numbers of CD8 (P<0.05) cells in the stroma of MET+ compared with MET− samples. By combining immunohistochemistry with DPRIA, we demonstrate a potential metastatic phenotype in CRC. Our study accelerates wider acceptance and use of automated systems as an adjunct to traditional histopathological techniques.
登录
查看更多内容
影响因子：
13
作者：
Ruffell, Brian;DeNardo, David G.;Affara, Nesrine I.;Coussens, Lisa M.
通讯作者：
Coussens, Lisa M.
影响因子：
11.2
作者：
Tosolini, Marie;Kirilovsky, Amos;Galon, Jerome
通讯作者：
Galon, Jerome
影响因子：
45.3
作者：
Salama, Paul;Phillips, Michael;Iacopetta, Barry
通讯作者：
Iacopetta, Barry
影响因子：
6.6
作者：
Lin, Elaine Y.;Li, Jiu-feng;Pollard, Jeffrey W.
通讯作者：
Pollard, Jeffrey W.
影响因子：
11.2
作者：
Camus, Matthieu;Tosolini, Marie;Galon, Jerome
通讯作者：
Galon, Jerome