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Li Hu

Bio: Li Hu is an academic researcher from Beijing University of Chinese Medicine. The author has co-authored 1 publications.

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TL;DR: Wang et al. as mentioned in this paper constructed a scale-free lncRNA-m6A regulator network by merging all the high correlated lncRN-m 6A regulator pairs and found that these m6A-related lnc RNAs were high correlated with tumor immunity.
Abstract: Lung adenocarcinoma (LUAD) is one type of the malignant tumors with high morbidity and mortality. The molecular mechanism of LUAD is still unclear. Studies demonstrate that lncRNAs play crucial roles in LUAD tumorigenesis and can be used as prognosis biomarkers. Thus, in this study, to identify more robust biomarkers of LUAD, we firstly constructed LUAD-related lncRNA-TF network and performed topological analyses for the network. Results showed that the network was a scale-free network, and some hub genes with high clinical values were identified, such as lncRNA RP11-173A16 and TF ZBTB37. Module analysis on the network revealed one close lncRNA module, which had good prognosis performance in LUAD. Furthermore, through integrating ceRNAs strategy and TF regulatory information, we identified some lncRNA-TF positive feedback loops. Prognostic analysis revealed that ELK4- and BDP1-related feedback loops were significant. Secondly, we constructed the lncRNA-m6A regulator network by merging all the high correlated lncRNA-m6A regulator pairs. Based on the network analysis results, some key m6A-related lncRNAs were identified, such as MIR497HG, FENDRR, and RP1-199J3. We also investigated the relationships between these lncRNAs and immune cell infiltration. Results showed that these m6A-related lncRNAs were high correlated with tumor immunity. All these results provide a new perspective for the diagnostic biomarker and therapeutic target identification of LUAD.

4 citations


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TL;DR: The possibility of m6 A modifications serving as potential biomarkers for cancer diagnosis and targets for therapy is discussed and the profiles and biological functions of RNA m 6 A methylation on both mRNAs and ncRNAs are focused on.

3 citations

Journal ArticleDOI
TL;DR: In this paper , the profiles and biological functions of RNA m6 A methylation on both mRNAs and non-coding RNAs are discussed, and the possibility of m6A modifications serving as potential biomarkers for cancer diagnosis and targets for therapy is discussed.

3 citations

Journal ArticleDOI
TL;DR: The authors thank Professor Laura Schramm for her comment on the history and clarification of BDP1 nomenclature, her contribution to gene cloning.
Abstract: We thank Professor Laura Schramm for her comment on the history and clarification of BDP1 nomenclature, her contribution to gene cloning [...].
Journal ArticleDOI
TL;DR: Wang et al. as discussed by the authors focused on hypoxia-associated molecular hallmarks in lung adenocarcinoma (LUAD) and built a network based on the competing endogenous RNA (ceRNA) theory.
Abstract: Abstract Lung adenocarcinoma (LUAD) is the most common form of non-small cell lung cancer (NSCLC). Hypoxia has been found in 50–60% of locally advanced solid tumors and is associated with poor prognosis in various tumors, including NSCLC. This study focused on hypoxia-associated molecular hallmarks in LUAD. Fifteen hypoxia-related genes were selected to define the hypoxia status of LUAD by ConsensusClusterPlus based on data from The Cancer Genome Atlas (TCGA). Then, we investigated the immune status under different hypoxia statuses. Subsequently, we constructed prognostic models based on hypoxia-related differentially expressed genes (DEGs), identified hypoxia-related microRNAs, lncRNAs and mRNAs, and built a network based on the competing endogenous RNA (ceRNA) theory. Two clusters (Cluster 1 and Cluster 2) were identified with different hypoxia statuses. Cluster 1 was defined as the hypoxia subgroup, in which all 15 hypoxia-associated genes were upregulated. The infiltration of CD4+ T cells and Tfh cells was lower, while the infiltration of regulatory T (Treg) cells, the expression of PD-1/PD-L1 and TMB scores were higher in Cluster 1, indicating an immunosuppressive status. Based on the DEGs, a risk signature containing 7 genes was established. Furthermore, three differentially expressed microRNAs (hsa-miR-9, hsa-miR-31, hsa-miR-196b) associated with prognosis under different hypoxia clusters and their related mRNAs and lncRNAs were identified, and a ceRNA network was built. This study showed that hypoxia was associated with poor prognosis in LUAD and explored the potential mechanism from the perspective of the gene signature and ceRNA theory.