Tumor Microenvironment-Associated Immune-Related Genes for the Prognosis of Malignant Pleural Mesothelioma.
Tumor Microenvironment-Associated Immune-Related Genes for the Prognosis of Malignant Pleural Mesothelioma.
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肿瘤微环境相关免疫相关基因对恶性胸膜间皮瘤的预后
DOI：
10.3389/fonc.2020.544789
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发表时间：
2020
影响因子：
4.7
通讯作者：
Mao W
中科院分区：
文献类型：
--
作者：
Xu X;Cheng L;Fan Y;Mao W
恶性胸膜间皮瘤是一种罕见但高度侵袭性的胸部恶性肿瘤。ESTIMATE算法衍生的免疫评分通常用于量化肿瘤中的免疫和基质成分。因此，该算法可以帮助确定与肿瘤免疫相关的肿瘤微环境（TME）相关基因表达谱。本研究旨在挖掘公共数据库，以确定差异表达基因（DEG）和MPM患者生存率之间的潜在相关性。我们根据免疫/基质评分将来自基因表达综合数据库的患者分为高分组和低分组。功能富集分析和蛋白质-蛋白质相互作用网络的构建表明，DEGs主要参与TME。此外，我们在来自癌症基因组图谱数据库的MPM患者的独立队列中验证了这些基因。DEG分析显示29个DEG是癌症驱动基因。随后，14个TME相关基因，这是以前被忽视的，显示出显着的预后潜力，在MPM。总之，免疫/基质评分是MPM患者预后不良的新预测因子。我们确定了参与MPM免疫的DEG，并可能有助于患者生存。由于它们作为MPM预后因子的潜力，这14个TME相关基因需要在未来进行详细研究。
Malignant pleural mesothelioma (MPM) is a rare but highly aggressive thoracic malignancy. ESTIMATE algorithm-derived immune scores are commonly used to quantify the immune and stromal components in tumors. Thus, this algorithm may help determine the tumor microenvironment (TME)-related gene expression profile associated with tumor immunity. This study aimed at mining public databases to determine a potential correlation between differentially expressed genes (DEGs) and survival in patients with MPM. We categorized patients from the Gene Expression Omnibus database according to their immune/stromal scores into high- and low-score groups. Functional enrichment analysis and the construction of protein–protein interaction networks showed that the DEGs identified were primarily involved in the TME. Furthermore, we validated these genes in an independent cohort of patients with MPM from The Cancer Genome Atlas database. DEG analysis showed that 29 DEGs were cancer driver genes. Subsequently, 14 TME-related genes, which have been previously neglected, were shown to exhibit significant prognostic potential in MPM. In conclusion, immune/stromal scores are novel predictors of a poor prognosis in patients with MPM. We identified DEGs that are involved in immunity against MPM and may contribute to patient survival. Owing to their potential as prognostic factors for MPM, these 14 TME-related genes need to be studied in detail in the future.
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影响因子：
14.9
作者：
Ritchie ME;Phipson B;Wu D;Hu Y;Law CW;Shi W;Smyth GK
通讯作者：
Smyth GK
影响因子：
14.9
作者：
Keshava Prasad TS;Goel R;Kandasamy K;Keerthikumar S;Kumar S;Mathivanan S;Telikicherla D;Raju R;Shafreen B;Venugopal A;Balakrishnan L;Marimuthu A;Banerjee S;Somanathan DS;Sebastian A;Rani S;Ray S;Harrys Kishore CJ;Kanth S;Ahmed M;Kashyap MK;Mohmood R;Ramachandra YL;Krishna V;Rahiman BA;Mohan S;Ranganathan P;Ramabadran S;Chaerkady R;Pandey A
通讯作者：
Pandey A
DOI：
10.18632/aging.101415
发表时间：
2018-04-16
期刊：
Aging
影响因子：
--
作者：
Jia D;Li S;Li D;Xue H;Yang D;Liu Y
通讯作者：
Liu Y
影响因子：
76.2
作者：
Calabro, Luana;Morra, Aldo;Maio, Michele
通讯作者：
Maio, Michele
影响因子：
6.4
作者：
Endris, Volker;Buchhalter, Ivo;Stenzinger, Albrecht
通讯作者：
Stenzinger, Albrecht