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首页> 外文期刊>Journal of cellular physiology. >The prognostic value and potential subtypes of immune activity scores in three major urological cancers
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The prognostic value and potential subtypes of immune activity scores in three major urological cancers

机译：的预后价值和潜在的亚型三个主要的泌尿的免疫活动分数癌症

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Immune-based rather than cancer-based classification systems are becoming an important additional component for prognostic prediction. Herein, we investigate the status of tumor-immune interaction and prognostic value of immune activity scores in bladder urothelial carcinoma (BLCA), kidney renal clear cell carcinoma (KIRC), and prostate adenocarcinoma (PRAD) from The Cancer Genome Atlas dataset and tracking the tumor immunophenotype platform. Traditional clinicopathological parameters still are effective predictors for prognosis. Comparison of 23-set, seven-step immune activity scores, and its distribution between favorable and adverse outcome groups within each cancer type and among cancer types show that each cancer has a distinct tumor-immune pattern. Adjusted overall immune activity scores based on the binary logistic regression analysis show a great discrimination ability in the progression-free survival (p = .0056 in BLCA, p < .0001 in KIRC, and p < .0001 in PRAD). K-mean cluster method and principal component analysis were performed to explore the cancer subtype. The results reveal that certain immune activity scores pattern such as high nature killer (NK) cell, T cell, macrophage, T helper type 1 (Th1) cell, and dendritic cell recruiting scores in BLCA, low NK cell, CD8 T cell, macrophage, T cell, Th1 cell recruiting scores in KIRC have a favorable clinical outcome comparing to other subtypes. Also, It is remarkable that a relatively small subtype of patients has a poor clinical prognosis in PRAD and this subtype features high CD4 T cell, macrophage, T cell, and regulatory T cell recruiting scores.
机译：免疫,而不是由分类系统成为一个重要其他组件对预后的预测。在此,我们研究肿瘤免疫的状态免疫交互和预后价值活动在膀胱移行细胞癌中的得分(BLCA),肾肾透明细胞癌(KIRC),和前列腺腺癌(马)癌症基因组图谱数据集和跟踪肿瘤immunophenotype平台。临床病理参数仍有效的预后预测指标。23-set、免疫活动7点评分和其分布之间的有利和不利结果组在每个癌症类型和之间显示每个癌症都有一个不同的癌症类型肿瘤免疫模式。基于二进制物流活动分数回归分析显示一个伟大的歧视在无进展生存(p =能力.0056 BLCA, p < KIRC。,p <。在马)。成分分析进行了探讨癌症亚型。免疫活动分数高等模式自然杀伤(NK)细胞、T细胞、巨噬细胞、T辅助1型(Th1)细胞和树突细胞招聘在BLCA分数,低NK细胞、CD8 T细胞、巨噬细胞、T细胞,Th1细胞的招募分数在KIRC有良好的临床结果比较其他亚型。了不起,一个相对较小的亚型在马患者临床预后很差这高CD4 T细胞亚型特性,巨噬细胞、T细胞和调节性T细胞招聘的分数。

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