Quantification of tumour budding, lymphatic vessel density and invasion through image analysis in colorectal cancer.

Quantification of tumour budding, lymphatic vessel density and invasion through image analysis in colorectal cancer.
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DOI:
10.1186/1479-5876-12-156
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发表时间:
2014-06-01
影响因子:
7.4
通讯作者:
Harrison DJ
Harrison DJ
中科院分区:
医学2区
文献类型:
--
作者:
Caie PD;Turnbull AK;Farrington SM;Oniscu A;Harrison DJ

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肿瘤出芽(TB)、淋巴管密度(LVD)和淋巴管浸润(LVI)已显示出作为结直肠癌(CRC)预后因素的前景,但使用常规组织病理学的重现性具有挑战性。我们展示了图像分析方法,以量化的组织病理学特征,可以允许跨机构的标准化和援助的风险分层公爵B患者。在来自50名诊断为Dukes A(n = 13)、Dukes B(n = 29)和Dukes C(n = 8)CRC的患者的组织切片中,泛细胞角蛋白、D2-40和DAPI的多重免疫荧光分别鉴定了上皮、淋巴管和所有细胞核。在CRC组织切片的数字化图像上开发并执行图像分析算法,以量化侵入前沿的TB、LVD和LVI。TB(HR =5.7;通过图像分析成功量化了LVD(HR =5.1; 95% CI,2.38-13.8)、LVD(HR =5.1; 95% CI,2.04-12.99)和LVI(HR =9.9; 95% CI,3.57-27.98),在单变量分析中,所有这些均与生存率差显著相关。LVI(HR =6.08; 95%CI,1.17-31.41)是研究中的独立预后因素,与TB(Pearson r =0.71,p <0.0003)和LVD(Pearson r =0.69,p <0.0003)相关。我们通过图像分析证明了方法,该方法可以从单个组织切片中量化TB、LVD和LVI,同时降低观察者的变异性。我们认为该技术能够对高危Dukes B CRC亚群进行分层,并且我们显示三种组织病理学特征具有预后意义。
Tumour budding (TB), lymphatic vessel density (LVD) and lymphatic vessel invasion (LVI) have shown promise as prognostic factors in colorectal cancer (CRC) but reproducibility using conventional histopathology is challenging. We demonstrate image analysis methodology to quantify the histopathological features which could permit standardisation across institutes and aid risk stratification of Dukes B patients. Multiplexed immunofluorescence of pan-cytokeratin, D2-40 and DAPI identified epithelium, lymphatic vessels and all nuclei respectively in tissue sections from 50 patients diagnosed with Dukes A (n = 13), Dukes B (n = 29) and Dukes C (n = 8) CRC. An image analysis algorithm was developed and performed, on digitised images of the CRC tissue sections, to quantify TB, LVD, and LVI at the invasive front. TB (HR =5.7; 95% CI, 2.38-13.8), LVD (HR =5.1; 95% CI, 2.04-12.99) and LVI (HR =9.9; 95% CI, 3.57-27.98) were successfully quantified through image analysis and all were shown to be significantly associated with poor survival, in univariate analyses. LVI (HR =6.08; 95% CI, 1.17-31.41) is an independent prognostic factor within the study and was correlated to both TB (Pearson r =0.71, p <0.0003) and LVD (Pearson r =0.69, p <0.0003). We demonstrate methodology through image analysis which can standardise the quantification of TB, LVD and LVI from a single tissue section while decreasing observer variability. We suggest this technology is capable of stratifying a high risk Dukes B CRC subpopulation and we show the three histopathological features to be of prognostic significance.
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