人类肿瘤中 LncRNA WAC-AS1 的表达与免疫浸润相关并影响预后。

IF 2.7 3区 生物学
Yanyang Wang, Haiyan Gong, Yue Cao
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引用次数: 0

摘要

研究背景WAC-反义RNA1(WAC-AS1)是一种新发现的长非编码RNA(lncRNA),与几种类型肿瘤的预后和发展有关。然而,WAC-AS1与泛癌中免疫浸润和患者预后的相关性仍不清楚。在本研究中,我们旨在调查WAC-AS1在33种不同类型癌症中的预后价值和免疫功能:为了研究WAC-AS1的潜在致癌作用,我们利用癌症基因组图谱(TCGA)和基因型组织表达(GTEx)数据集进行了生物信息学分析。研究探讨了WAC-AS1与不同类型肿瘤的预后、临床表型、肿瘤突变负荷(TMB)、微卫星不稳定性(MSI)、肿瘤调控相关基因、肿瘤微环境、免疫细胞浸润以及对常用化疗药物耐药性的相关性。通过基因组富集分析(Gene Set Enrichment Analysis, GSEA)和基因组变异分析(Gene Set Variation Analysis, GSVA)探讨了WAC-AS1在肿瘤中的生物学功能。组织芯片(TMA)原位杂交(ISH)证实了WAC-AS1在多个肿瘤组织中的表达:结果:与正常组织相比,WAC-AS1 在大多数癌症中都有异常表达。结果发现:与正常组织相比,WAC-AS1 在大多数癌症中都有异常表达,它在多种癌症中还具有预后价值。在肾上腺皮质癌(ACC)、乳腺浸润癌(BRCA)和肝肝细胞癌(LIHC)中,WAC-AS1表达升高与预后不良和总生存率有关。在脑低级胶质瘤(LGG)、胰腺腺癌(PAAD)和皮肤黑色素瘤(SKCM)中,WAC-AS1的表达与总生存率呈明显负相关。WAC-AS1 的表达还与六种类型肿瘤的临床分期以及几种不同类型癌症的肿瘤突变负荷和微卫星不稳定性相关。研究发现,这些癌症的免疫评分具有重要意义。此外,根据 WAC-AS1 在这些癌症中的表达情况,氟尿嘧啶和其他四种抗癌药物的疗效也有显著差异。此外,ISH结果显示,在六种类型的肿瘤中,WAC-AS1的表达与利用TCGA和GTEx数据库进行的泛癌分析结果一致:结论:这些结果表明,WAC-AS1在各种类型癌症中密切参与免疫反应、免疫细胞浸润和恶性特性的调控,这表明WAC-AS1可作为不同类型癌症的预后标志物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
LncRNA WAC-AS1 expression in human tumors correlates with immune infiltration and affects prognosis.

Background: WAC-antisense RNA1 (WAC-AS1) is a newly identified long non-coding RNA (lncRNA) implicated in the prognosis and development of a few types of tumors. However, the correlations of WAC-AS1 with immune infiltration and patient prognosis in pan-cancer remain unclear. In the present study, we aimed to investigate the prognostic value and immunological functions of WAC-AS1 across 33 different types of cancers.

Methods: To investigate the potential oncogenic roles of WAC-AS1, bioinformatics analyses were performed using the Cancer Genome Atlas (TCGA) and Genotype Tissue-Expression (GTEx) datasets. The correlations of WAC-AS1 with prognosis, clinical phenotype, tumor mutational burden (TMB), microsatellite instability (MSI), tumor regulation-related genes, tumor microenvironment, immune cell infiltration, and drug resistance to commonly used chemotherapy drugs in different types of tumors were explored. Gene Set Enrichment Analysis (GSEA) and Gene Set Variation Analysis (GSVA) were performed to explore the biological functions of WAC-AS1 in tumors. In situ hybridization (ISH) was performed in tissue microarray (TMA) to confirm the expression of WAC-AS1 in multiple tumor tissues.

Results: WAC-AS1 showed aberrant expression in most cancers when compared to the normal tissues. It also has prognostic value in multiple types of cancers. Elevated WAC-AS1 expression was associated with poor prognosis and overall survival in adrenocortical carcinoma (ACC), breast invasive carcinoma (BRCA), and liver hepatocellular carcinoma (LIHC). A significant negative correlation between WAC-AS1 expression and overall survival was observed in brain lower-grade glioma (LGG), pancreatic adenocarcinoma (PAAD), and skin cutaneous melanoma (SKCM). The expression of WAC-AS1 also showed a correlation with clinical stage in six types of tumors, and with tumor mutational burden and microsatellite instability in several different types of cancers. The immune scores of those cancers were found to be significant. Additionally, the effectiveness of fluorouracil and four other anticancer drugs was significantly different based on the expression of WAC-AS1 in these cancers. Moreover, the ISH results showed in six types of tumors, the expression of WAC-AS1 was consistent with the Pan-cancer analysis using TCGA and GTEx database.

Conclusions: These results indicate an intensive involvement of WAC-AS1 in the regulation of immune responses, immune cell infiltration, and malignant properties in various types of cancers, suggesting that WAC-AS1 may serve as a prognostic marker across diverse types of cancers.

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来源期刊
Hereditas
Hereditas Biochemistry, Genetics and Molecular Biology-Genetics
CiteScore
3.80
自引率
3.70%
发文量
0
期刊介绍: For almost a century, Hereditas has published original cutting-edge research and reviews. As the Official journal of the Mendelian Society of Lund, the journal welcomes research from across all areas of genetics and genomics. Topics of interest include human and medical genetics, animal and plant genetics, microbial genetics, agriculture and bioinformatics.
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