Suppr超能文献

系统性泛癌分析将 鉴定为一种免疫和预后生物标志物。 (原文中“identifies”后缺少具体内容)

Systematic pan-cancer analysis identifies as an immunological and prognostic biomarker.

作者信息

Chen Peng, Yang Xian, Wang Peiyuan, He Hao, Chen Yujie, Yu Lingfeng, Fang Huipeng, Wang Feng, Huang Zhijian

机构信息

Department of Thoracic Surgery, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China.

Department of Nephrology, Fujian Provincial Hospital South Branch, Fuzhou, China.

出版信息

Ann Transl Med. 2023 Jan 31;11(2):121. doi: 10.21037/atm-22-6318.

Abstract

BACKGROUND

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus causes novel coronavirus disease 2019 (COVID-19), which is characterized by pneumonia, cytokine storms, and lymphopenia. Due to immunosuppression, cancer patients may be more susceptible to SARS-CoV-2 and have more serious complications. According to recent research, cyclic GMP-AMP synthase () could be a potential SARS-CoV-2 sensor. However, at present, no studies have been conducted on gene alterations in pan-cancer. This study aimed to discover therapeutic implications for COVID-19-infected tumor patients by performing a comprehensive analysis of in malignant tumors.

METHODS

expression matrices were obtained from The Cancer Genome Atlas (TCGA), Genotype-Tissue Expression (GTEx), and Cancer Cell Line Encyclopedia (CCLE) databases, which were used to evaluate expression in various tumors, its prognostic value, and its relationship to the immune microenvironment, microsatellite instability (MSI), immune neoantigens, gene mutations, immune checkpoints, MSI, tumor mutational burden (TMB), mismatch repair (MMR) genes, and DNA methyltransferases (DNMT). We also used the cBioPortal, Human Protein Atlas (HPA), and GeneMANIA databases to explore the types of changes, gene networks and immunofluorescence localization, and protein expression of these genes.

RESULTS

Compared to normal tissues, was highly expressed in 13 types of cancer (e.g., lung cancer) and lowly expressed in other cancers (e.g., pancreatic cancer). expression was associated with prognosis in nine cancers, such as renal clear cell carcinoma (P<0.05). Furthermore, deep deletion was the most common type of genomic mutation. DNMT, immune infiltration levels, TMB, MSI, MMR genes, neoantigens, and immune checkpoints were all correlated with expression. Moreover, we used the GSE30589 dataset to investigate the post-SARS-CoV infection changes in expression . Finally, mithramycin, MI219, AFP464, aminoflavone, kahalide F, AT13387, doxorubicin, and other drugs increased the sensitivity of expression. According to the evidence presented above, may become an important target for cancer therapy.

CONCLUSIONS

This study discovered that SARS-CoV-2-infected cancer patients might experience changes in their tumor environment as a result of , making patients with tumors expressing high more susceptible to COVID-19 and possibly a worsening prognosis. Furthermore, may be a novel biomarker for diagnosing and treating COVID-19-infected tumor patients.

摘要

背景

严重急性呼吸综合征冠状病毒2(SARS-CoV-2)引发2019年新型冠状病毒病(COVID-19),其特征为肺炎、细胞因子风暴和淋巴细胞减少。由于免疫抑制,癌症患者可能更容易感染SARS-CoV-2且出现更严重的并发症。根据最近的研究,环磷酸鸟苷-腺苷酸合成酶()可能是一种潜在的SARS-CoV-2传感器。然而,目前尚未有关于泛癌中基因改变的研究。本研究旨在通过对恶性肿瘤中的进行全面分析,发现对COVID-19感染的肿瘤患者的治疗意义。

方法

从癌症基因组图谱(TCGA)、基因型-组织表达(GTEx)和癌细胞系百科全书(CCLE)数据库中获取表达矩阵,用于评估在各种肿瘤中的表达、其预后价值及其与免疫微环境、微卫星不稳定性(MSI)、免疫新抗原、基因突变、免疫检查点、MSI、肿瘤突变负荷(TMB)、错配修复(MMR)基因和DNA甲基转移酶(DNMT)的关系。我们还使用cBioPortal、人类蛋白质图谱(HPA)和GeneMANIA数据库来探索这些基因的变化类型、基因网络和免疫荧光定位以及蛋白质表达。

结果

与正常组织相比,在13种癌症(如肺癌)中高表达,在其他癌症(如胰腺癌)中低表达。在9种癌症(如肾透明细胞癌)中的表达与预后相关(P<0.05)。此外,深度缺失是基因组突变最常见的类型。DNMT、免疫浸润水平、TMB、MSI、MMR基因、新抗原和免疫检查点均与表达相关。此外,我们使用GSE30589数据集研究SARS-CoV感染后表达的变化。最后,光神霉素、MI219、AFP464、氨基黄酮、kahalide F、AT13387、阿霉素等药物增加了表达的敏感性。根据上述证据,可能成为癌症治疗的重要靶点。

结论

本研究发现,SARS-CoV-2感染的癌症患者可能因其肿瘤环境发生变化,使得高表达的肿瘤患者更容易感染COVID-19且预后可能更差。此外,可能是诊断和治疗COVID-19感染的肿瘤患者的新型生物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0def/9929843/3a1c86b6cd5b/atm-11-02-121-f1.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验