Integrated analysis of immune-related genes in endometrial carcinoma.
Integrated analysis of immune-related genes in endometrial carcinoma.
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子宫内膜癌免疫相关基因的整合分析
DOI：
10.1186/s12935-020-01572-6
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发表时间：
2020
影响因子：
5.8
通讯作者：
Yin H
中科院分区：
文献类型：
--
作者：
Wang Y;Liu Y;Guan Y;Li H;Liu Y;Zhang M;Cui P;Kong D;Chen X;Yin H
背景由于子宫内膜癌(EC)的高发病率，迫切需要探索新的、敏感的靶点。本研究的目的是探索食管癌中的转录因子和免疫相关基因，并进一步确定基于免疫的lncRNA信号作为预测生存预后的生物标志物。方法通过生物信息学分析，寻找转录因子、免疫相关基因和免疫相关的lncRNA。用COX回归和最小绝对收缩选择算子(LASSO)分析确定免疫和总存活期(OS)相关的lncRNA。用Kaplan-Meier法和受试者工作特征(ROC)分析评价模型的准确性，用Cox分析确定独立的预后指标。结果构建了29个转录因子和17个免疫相关基因的网络。此外，还筛选出了4个与免疫预后相关的LncRNA。Kaplan-Meier生存分析和时间依赖的ROC分析表明，4-lncRNA模型具有令人满意的预测潜力。训练集、测试集和整个队列的结果之间实现了一致性。主成分分析可以区分高危人群和低危人群的分布模式。风险评分和临床因素的比较证实了基于四个lncRNA的签名是一个独立的预后指标。结论构建了一个转录因子和免疫相关基因网络，探索了4个免疫相关的lncRNA信号，可作为一种新的潜在的EC生物标志物。
BackgroundExploring novel and sensitive targets is urgent due to the high morbidity of endometrial cancer (EC). The purpose of our study was to explore the transcription factors and immune-related genes in EC and further identify immune-based lncRNA signature as biomarker for predicting survival prognosis.MethodsTranscription factors, aberrantly expressed immune-related genes and immune-related lncRNAs were explored through bioinformatics analysis. Cox regression and the least absolute shrinkage and selection operator (LASSO) analysis were conducted to identify the immune and overall survival (OS) related lncRNAs. The accuracy of model was evaluated by Kaplan–Meier method and receiver operating characteristic (ROC) analysis, and the independent prognostic indicator was identified with Cox analysis. Quantitative real-time polymerase chain reaction (qRT-PCR) were conducted to detect the accuracy of our results.ResultsA network of 29 transcription factors and 17 immune-related genes was constructed. Furthermore, four immune-prognosis-related lncRNAs were screened out. Kaplan–Meier survival analysis and time-dependent ROC analysis revealed a satisfactory predictive potential of the 4-lncRNA model. Consistency was achieved among the results from the training set, testing set and entire cohort. The distributed patterns between the high- and low-risk groups could be distinguished in principal component analysis. Comparisons of the risk score and clinical factors confirmed the four-lncRNA-based signature as an independent prognostic indicator. Last, the reliability of the results was verified by qRT-PCR in 29 cases of endometrial carcinoma and in cells.ConclusionsOverall, our study constructed a network of transcription factors and immune-related genes and explored a four immune-related lncRNA signature that could serve as a novel potential biomarker of EC.
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DOI：
10.1158/1078-0432.ccr-18-0412
发表时间：
2018-12-01
期刊：
Clinical cancer research : an official journal of the American Association for Cancer Research
影响因子：
--
作者：
Soumerai TE;Donoghue MTA;Bandlamudi C;Srinivasan P;Chang MT;Zamarin D;Cadoo KA;Grisham RN;O'Cearbhaill RE;Tew WP;Konner JA;Hensley ML;Makker V;Sabbatini P;Spriggs DR;Troso-Sandoval TA;Charen AS;Friedman C;Gorsky M;Schweber SJ;Middha S;Murali R;Chiang S;Park KJ;Soslow RA;Ladanyi M;Li BT;Mueller J;Weigelt B;Zehir A;Berger MF;Abu-Rustum NR;Aghajanian C;DeLair DF;Solit DB;Taylor BS;Hyman DM
通讯作者：
Hyman DM
癌症中的长非编码 RNA：信号传导电路。
影响因子：
19
作者：
Lin C;Yang L
通讯作者：
Yang L
PTEN 缺陷使子宫内膜样子宫内膜癌对复合 PARP-PI3K 抑制敏感，但对 PARP 抑制作为单一疗法不敏感
影响因子：
8
作者：
Bian X;Gao J;Luo F;Rui C;Zheng T;Wang D;Wang Y;Roberts TM;Liu P;Zhao JJ;Cheng H
通讯作者：
Cheng H
影响因子：
9
作者：
Serviss JT;Andrews N;Van den Eynden J;Richter FC;Houtman M;Vesterlund M;Schwarzmueller L;Johnsson P;Larsson E;Grandér D;Pokrovskaja Tamm K
通讯作者：
Pokrovskaja Tamm K
影响因子：
37.3
作者：
Hosseini ES;Meryet-Figuiere M;Sabzalipoor H;Kashani HH;Nikzad H;Asemi Z
通讯作者：
Asemi Z