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An Integrating Immune-Related Signature to Improve Prognosis of Hepatocellular Carcinoma
Computational and Mathematical Methods in Medicine ( IF 2.809 ) Pub Date : 2020-11-03 , DOI: 10.1155/2020/8872329 Rui Zhu 1, 2 , Wenna Guo 3 , Xin-Jian Xu 1 , Liucun Zhu 2
Computational and Mathematical Methods in Medicine ( IF 2.809 ) Pub Date : 2020-11-03 , DOI: 10.1155/2020/8872329 Rui Zhu 1, 2 , Wenna Guo 3 , Xin-Jian Xu 1 , Liucun Zhu 2
Affiliation
Growing evidence suggests that the superiority of long noncoding RNAs (lncRNAs) and messenger RNAs (mRNAs) could act as biomarkers for cancer prognosis. However, the prognostic marker for hepatocellular carcinoma with high accuracy and sensitivity is still lacking. In this research, a retrospective, cohort-based study of genome-wide RNA-seq data of patients with hepatocellular carcinoma was carried out, and two protein-coding genes (GTPBP4, TREM-1) and one lncRNA (LINC00426) were sorted out to construct an integrative signature to predict the prognosis of patients. The results show that both the AUC and the C-index of this model perform well in TCGA validation dataset, cross-platform GEO validation dataset, and different subsets divided by gender, stage, and grade. The expression pattern and functional analysis show that all three genes contained in the model are associated with immune infiltration, cell proliferation, invasion, and metastasis, providing further confirmation of this model. In summary, the proposed model can effectively distinguish the high- and low-risk groups of hepatocellular carcinoma patients and is expected to shed light on the treatment of hepatocellular carcinoma and greatly improve the patients’ prognosis.
中文翻译:
整合免疫相关特征以改善肝细胞癌的预后
越来越多的证据表明,长链非编码 RNA (lncRNA) 和信使 RNA (mRNA) 的优势可以作为癌症预后的生物标志物。然而,目前仍缺乏准确、灵敏的肝细胞癌预后标志物。本研究对肝细胞癌患者的全基因组RNA-seq数据进行了回顾性、队列研究,整理出2个蛋白质编码基因(GTPBP4、TREM-1)和1个lncRNA(LINC00426)构建综合特征来预测患者的预后。结果表明,该模型的 AUC 和 C-index 在 TCGA 验证数据集、跨平台 GEO 验证数据集以及按性别、阶段和等级划分的不同子集都表现良好。表达模式和功能分析表明,模型中包含的三个基因均与免疫浸润、细胞增殖、侵袭和转移有关,进一步证实了该模型。综上所述,该模型能够有效区分肝细胞癌患者的高危和低危人群,有望为肝细胞癌的治疗提供启示,大大改善患者的预后。
更新日期:2020-11-03
中文翻译:
整合免疫相关特征以改善肝细胞癌的预后
越来越多的证据表明,长链非编码 RNA (lncRNA) 和信使 RNA (mRNA) 的优势可以作为癌症预后的生物标志物。然而,目前仍缺乏准确、灵敏的肝细胞癌预后标志物。本研究对肝细胞癌患者的全基因组RNA-seq数据进行了回顾性、队列研究,整理出2个蛋白质编码基因(GTPBP4、TREM-1)和1个lncRNA(LINC00426)构建综合特征来预测患者的预后。结果表明,该模型的 AUC 和 C-index 在 TCGA 验证数据集、跨平台 GEO 验证数据集以及按性别、阶段和等级划分的不同子集都表现良好。表达模式和功能分析表明,模型中包含的三个基因均与免疫浸润、细胞增殖、侵袭和转移有关,进一步证实了该模型。综上所述,该模型能够有效区分肝细胞癌患者的高危和低危人群,有望为肝细胞癌的治疗提供启示,大大改善患者的预后。