m6A-immune-related lncRNA prognostic signature for predicting immune landscape and prognosis of bladder cancer.
m6A-immune-related lncRNA prognostic signature for predicting immune landscape and prognosis of bladder cancer.
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m6A 免疫相关 lncRNA 预后特征用于预测膀胱癌的免疫景观和预后
DOI：
10.1186/s12967-022-03711-1
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发表时间：
2022-10-29
影响因子：
7.4
通讯作者：
Chen, Zhen-Hua
中科院分区：
文献类型：
--
作者：
Feng, Zi-Hao;Liang, Yan-Ping;Cen, Jun-Jie;Yao, Hao-Hua;Lin, Hai-Shan;Li, Jia-Ying;Liang, Hui;Wang, Zhu;Deng, Qiong;Cao, Jia-Zheng;Huang, Yong;Wei, Jin-Huan;Luo, Jun-Hang;Chen, Wei;Chen, Zhen-Hua
关键词：
N6-甲基腺苷（m6 A）相关的长链非编码RNA（lncRNA）可能在膀胱癌中具有预后价值，因为它们在肿瘤发生和先天免疫中起关键作用。膀胱癌转录组数据和相应的临床数据从癌症基因组图谱（TCGA）数据库获得。采用单变量考克斯回归分析和Pearson相关分析鉴定m6 A免疫相关lncRNA。采用最小绝对收缩选择算子（LASSO）考克斯回归分析建立风险模型，并采用列线图、时间依赖受试者工作特征（ROC）和Kaplan-Meier生存分析进行分析。研究了低风险组和高风险组之间各种免疫细胞的浸润评分、临床特征和对Talazoparib的敏感性的差异。从TCGA中共鉴定出618个m6 A免疫相关lncRNA和490个免疫相关lncRNA，其中47个lncRNA具有预测价值。采用Lasso考克斯回归分析建立了11种lncRNA的风险模型，经时间依赖ROC曲线和Kaplan-Meier分析证实，该模型可预测膀胱癌患者的预后。风险评分与肿瘤恶性程度或免疫细胞浸润之间存在显著相关性。同时，低危组与高危组之间的肿瘤突变负荷和干性评分存在显著差异。此外，高危组患者对Talazoparib的反应更好。本研究建立了m6 A免疫相关lncRNA风险模型，可用于预测膀胱癌的预后、免疫景观和化疗反应。在线版本包含补充材料，可通过10.1186/s12967-022-03711-1获得。
N6-methyladenosine (m6A) related long noncoding RNAs (lncRNAs) may have prognostic value in bladder cancer for their key role in tumorigenesis and innate immunity. Bladder cancer transcriptome data and the corresponding clinical data were acquired from the Cancer Genome Atlas (TCGA) database. The m6A-immune-related lncRNAs were identified using univariate Cox regression analysis and Pearson correlation analysis. A risk model was established using least absolute shrinkage and selection operator (LASSO) Cox regression analyses, and analyzed using nomogram, time-dependent receiver operating characteristics (ROC) and Kaplan–Meier survival analysis. The differences in infiltration scores, clinical features, and sensitivity to Talazoparib of various immune cells between low- and high-risk groups were investigated. Totally 618 m6A-immune-related lncRNAs and 490 immune-related lncRNAs were identified from TCGA, and 47 lncRNAs of their intersection demonstrated prognostic values. A risk model with 11 lncRNAs was established by Lasso Cox regression, and can predict the prognosis of bladder cancer patients as demonstrated by time-dependent ROC and Kaplan–Meier analysis. Significant correlations were determined between risk score and tumor malignancy or immune cell infiltration. Meanwhile, significant differences were observed in tumor mutation burden and stemness-score between the low-risk group and high-risk group. Moreover, high-risk group patients were more responsive to Talazoparib. An m6A-immune-related lncRNA risk model was established in this study, which can be applied to predict prognosis, immune landscape and chemotherapeutic response in bladder cancer. The online version contains supplementary material available at 10.1186/s12967-022-03711-1.
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DOI：
10.18632/aging.203209
发表时间：
2021-07-02
期刊：
Aging
影响因子：
--
作者：
Ba MC;Ba Z;Gong YF;Lin KP;Wu YB;Tu YN
通讯作者：
Tu YN
影响因子：
8
作者：
Peng WX;Koirala P;Mo YY
通讯作者：
Mo YY
影响因子：
64.5
作者：
Malta TM;Sokolov A;Gentles AJ;Burzykowski T;Poisson L;Weinstein JN;Kamińska B;Huelsken J;Omberg L;Gevaert O;Colaprico A;Czerwińska P;Mazurek S;Mishra L;Heyn H;Krasnitz A;Godwin AK;Lazar AJ;Cancer Genome Atlas Research Network;Stuart JM;Hoadley KA;Laird PW;Noushmehr H;Wiznerowicz M
通讯作者：
Wiznerowicz M
影响因子：
12.4
作者：
Liu, Hai-Ting;Zou, Yong-Xin;Gao, Peng
通讯作者：
Gao, Peng
影响因子：
32.4
作者：
Noy, Roy;Pollard, Jeffrey W.
通讯作者：
Pollard, Jeffrey W.