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首页> 外文期刊>Journal of cellular and molecular medicine. >Prognostic value of tumour microenvironment-related genes by TCGA database in rectal cancer
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Prognostic value of tumour microenvironment-related genes by TCGA database in rectal cancer

机译:TCGA数据库在直肠癌中的肿瘤微环境相关基因的预后价值

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摘要

Rectal cancer is a common malignant tumour and the progression is highly affected by the tumour microenvironment (TME). This study intended to assess the relationship between TME and prognosis, and explore prognostic genes of rectal cancer. The gene expression profile of rectal cancer was obtained from TCGA and immune/stromal scores were calculated by Estimation of Stromal and Immune cells in Malignant Tumors using Expression data (ESTIMATE) algorithm. The correlation between immune/stromal scores and survival time as well as clinical characteristics were evaluated. Differentially expressed genes (DEGs) were identified according to the stromal/immune scores, and the functional enrichment analyses were conducted to explore functions and pathways of DEGs. The survival analyses were conducted to clarify the DEGs with prognostic value, and the protein-protein interaction (PPI) network was performed to explore the interrelation of prognostic DEGs. Finally, we validated prognostic DEGs using data from the Gene Expression Omnibus (GEO) database by PrognoScan, and we verified these genes at the protein levels using the Human Protein Atlas (HPA) databases. We downloaded gene expression profiles of 83 rectal cancer patients from The Cancer Genome Atlas (TCGA) database. The Kaplan-Meier plot demonstrated that low-immune score was associated with worse clinical outcome ( P =?.034), metastasis (M1 vs. M0, P =?.031) and lymphatic invasion ( vs. -, P ?.001). A total of 540 genes were screened as DEGs with 539 up-regulated genes and 1 down-regulated gene. In addition, 60 DEGs were identified associated with overall survival. Functional enrichment analyses and PPI networks showed that the DEGs are mainly participated in immune process, and cytokine-cytokine receptor interaction. Finally, 19 prognostic genes were verified by GSE17536 and GSE17537 from GEO, and five genes ( ADAM23, ARHGAP20, ICOS, IRF4, MMRN1 ) were significantly different in tumour tissues compared with normal tissues at the protein level. In summary, our study demonstrated the associations between TME and prognosis as well as clinical characteristics of rectal cancer. Moreover, we explored and verified microenvironment-related genes, which may be the potential key prognostic genes of rectal cancer. Further clinical samples and functional studies are needed to validate this finding.
机译:直肠癌是一种常见的恶性肿瘤,进展受肿瘤微环境(TME)的影响。该研究旨在评估TME和预后之间的关系,并探索直肠癌的预后基因。直肠癌的基因表达谱来自TCGA,通过表达数据(估计)算法估计恶性肿瘤中的基质和免疫细胞来计算免疫/基质分数。评估免疫/基质分数与存活时间的相关性以及临床特征。根据基质/免疫分数鉴定差异表达的基因(DEG),并进行官能富集分析以探讨次数的​​功能和途径。进行存活分析以澄清具有预后值的次数,并进行蛋白质 - 蛋白质相互作用(PPI)网络以探索预后的相互关联。最后,我们通过预后使用来自基因表达综合(Geo)数据库的数据验证了预后的DEG,并且我们使用人蛋白质地图集(HPA)数据库来验证这些基因。我们从癌症基因组Atlas(TCGA)数据库下载了83名直肠癌患者的基因表达谱。 Kaplan-Meier Plot表现出低免疫评分与较差的临床结果(p = 034),转移(M1与M0,P =β.031)和淋巴侵入(与 - ,P <031)相关。 .001)。用539个上调基因和1个下调基因筛选总共540个基因。此外,鉴定了60次与总存活相关的次数。功能性富集分析和PPI网络表明,DEG主要参与免疫过程和细胞因子 - 细胞因子受体相互作用。最后,通过GSE17536和GSE17537验证了来自Geo的GSE17537的预后基因,与蛋白质水平的正常组织相比,肿瘤组织中的五个基因(ADAM23,ARHGAP20,ICOS,IMOR,MMRN1)显着不同。总之,我们的研究表明TME和预后的关联以及直肠癌的临床特征。此外,我们探索和验证了微环境相关的基因,这可能是直肠癌的潜在关键预后基因。需要进一步的临床样本和功能性研究来验证这一发现。

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