The Construction and Analysis of Tumor-Infiltrating Immune Cells and ceRNA Networks in Bladder Cancer.

The Construction and Analysis of Tumor-Infiltrating Immune Cells and ceRNA Networks in Bladder Cancer.
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DOI:
10.3389/fgene.2020.605767
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发表时间:
2020
影响因子:
3.7
通讯作者:
Liang X
Liang X
中科院分区:
生物学3区
文献类型:
--
作者:
Jiang A;Liu N;Bai S;Wang J;Gao H;Zheng X;Fu X;Ren M;Zhang X;Tian T;Ruan Z;Yao Y;Liang X

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膀胱癌(BLCA)是全球第11位最常见的恶性肿瘤。尽管近年来在筛查、诊断和精确治疗方面取得了显著的进步,但BLCA的预后仍然黯淡。本研究旨在探讨肿瘤浸润性免疫细胞在BLCA患者预后中的意义,并构建CENA网络。BLCA患者的表达数据来源于癌症基因组图谱(TCGA)数据库。构建竞争内源性RNA(CerNA)网络,寻找与BLCA预后相关的HUB基因。利用CiberSort算法研究了22个免疫细胞亚群的渗透水平。最终,生成诺模图以可视化每个患者的生存概率,并执行校准曲线以评估其表现。此外,皮尔逊相关性检验被用来探索在Cerna网络中识别的HUB基因与预后相关免疫细胞之间的相关性。CERNA网络中共有8个元件与BLCA的预后相关,包括ELN、SREBF1、DSC2、TTLL7、DIP2C、SATB1、hsa-miR-20a-5p和hsa-miR-29c-3p。T细胞CD8、T细胞滤泡辅助细胞(TFH)和中性粒细胞是影响BLCA预后的独立因素。共表达分析表明,所鉴定的HUB基因与免疫细胞之间存在显著的相关性。我们的结果提示hsa-miR-29c-3p调节ELN和DSC2表达的机制,TfH和中性粒细胞的渗透可能在BLCA的发展过程中起关键作用。
Bladder cancer (BLCA) is the 11th most common malignancy worldwide. Although significant improvements have been made in screening, diagnosis, and precise management in recent years, the prognosis of BLCA remains bleak. This study aimed to investigate the prognostic significance of tumor-infiltrating immune cells and construct ceRNA networks in BLCA patients. The expression data of BLCA patients were obtained from The Cancer Genome Atlas (TCGA) database. A competing endogenous RNA (ceRNA) network was constructed to identify the hub genes involved in the prognosis of BLCA. The CIBERSORT algorithm was utilized to investigate the infiltration levels of 22 subsets of immune cells. Ultimately, the nomogram was generated to visualize the survival probability of each patient, with the calibration curve being performed to assess its performance. Furthermore, the Pearson correlation test was used to explore the correlation between the identified hub genes in the ceRNA network and the prognostic-related immune cells. A total of eight elements in the ceRNA network were considered as key members and correlated with the prognosis of BLCA, including ELN, SREBF1, DSC2, TTLL7, DIP2C, SATB1, hsa-miR-20a-5p, and hsa-miR-29c-3p. T cells CD8, T cells follicular helper (Tfh), and neutrophils were identified as independent prognostic factors in BLCA. The co-expression analysis showed that there was a significant correlation between the identified hub genes and immune cells. Our results suggest that the mechanism of hsa-miR-29c-3p regulates the expression of ELN and DSC2, and the infiltration of Tfh and neutrophils might play pivotal roles in the progression of BLCA.
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