Immune cell infiltration as a biomarker for the diagnosis and prognosis of stage I-III colon cancer
Immune cell infiltration as a biomarker for the diagnosis and prognosis of stage I-III colon cancer
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免疫细胞浸润作为 I-III 期结肠癌诊断和预后的生物标志物
DOI：
10.1007/s00262-018-2289-7
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发表时间：
2019-03-01
影响因子：
5.8
通讯作者：
Liao, Wangjun
中科院分区：
文献类型：
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作者：
Zhou, Rui;Zhang, Jingwen;Liao, Wangjun
肿瘤浸润免疫细胞是可切除结肠癌患者重要预后信息的来源。我们基于对 I-III 期结肠癌患者的大量肿瘤转录组推断的免疫景观的系统评估，开发了一种新型免疫模型。通过估计 RNA 转录本的相对子集进行细胞类型识别 (CIBERSORT) 算法用于估计 6 个微阵列公共数据集中 22 种免疫细胞类型的比例。然后使用随机森林方法和最小绝对收缩和选择算子模型来建立用于诊断和预后的免疫评分。通过比较 870 名结肠癌患者和 70 名正常对照样本中的免疫细胞组成，我们构建了一个诊断模型，指定为诊断免疫风险评分 (dIRS)，该模型在训练中显示出高特异性和敏感性 [曲线下面积 (AUC)=0.98，p
Tumour-infiltrating immune cells are a source of important prognostic information for patients with resectable colon cancer. We developed a novel immune model based on systematic assessments of the immune landscape inferred from bulk tumor transcriptomes of stage I-III colon cancer patients. The Cell type Identification By Estimating Relative Subsets Of RNA Transcripts (CIBERSORT) algorithm was used to estimate the fraction of 22 immune cell types from six microarray public datasets. The random forest method and least absolute shrinkage and selection operator model were then used to establish immunoscores for diagnosis and prognosis. By comparing immune cell compositions in samples of 870 colon cancer patients and 70 normal controls, we constructed a diagnostic model, designated the diagnostic immune risk score (dIRS), that showed high specificity and sensitivity in both the training [area under the curve (AUC)=0.98, p