Characterization of lncRNA-Perturbed TLR-Signaling Network Identifies Novel lncRNA Prognostic Biomarkers in Colorectal Cancer

Chu, Yanjie; Liu, Zhiqiang; Liu, Jing; Yu, Lei; Zhang, Dekai; Pei, Feng‐Hua

doi:10.3389/fcell.2020.00503

Cited by 13 publications

(9 citation statements)

References 33 publications

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“…Studies have reported that lncRNAs are abnormally expressed RNAs with more than 200 nucleotides, which play special roles in various diseases, especially malignant tumor formation [12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28] .…”

Section: Discussionmentioning

confidence: 99%

“…The lncRNA is a novel kind of noncoding RNA, which is at least 200 nucleotides in length. The lncRNAs may participate in the progression of various diseases, especially malignant tumors [12][13][14][15][16][17] . The lncRNAs, as important tumor gene regulators, effect tumor biological behavior, transcriptional regulation, and post-transcriptional regulation [18][19][20][21][22] .…”

Section: Introductionmentioning

confidence: 99%

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LncRNA HIF1A-AS2 accelerates malignant phenotypes of renal carcinoma by modulating miR-30a-5p/SOX4 axis as a ceRNA

et al. 2021

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Objective: Several reports have proposed that lncRNAs, as potential biomarkers, participate in the progression and growth of malignant tumors. HIF1A-AS2 is a novel lncRNA and potential biomarker, involved in the genesis and development of carcinomas. However, the molecular mechanism of HIF1A-AS2 in renal carcinoma is unclear. Methods: The relative expression levels of HIF1A-AS2 and miR-30a-5p were detected using RT-qPCR in renal carcinoma tissues and cell lines. Using loss-of-function and overexpression, the biological effects of HIF1A-AS2 and miR-30a-5p in kidney carcinoma progression were characterized. Dual luciferase reporter gene analysis and Western blot were used to detect the potential mechanism of HIF1A-AS2 in renal carcinomas. Results: HIF1A-AS2 was upregulated in kidney carcinoma tissues when compared with para-carcinoma tissues (P < 0.05). In addition, tumor size, tumor node mestastasis stage and differentiation were identified as being closely associated with HIF1A-AS2 expression (P < 0.05). Knockdown or overexpression of HIF1A-AS2 either restrained or promoted the malignant phenotype and WNT/β-catenin signaling in renal carcinoma cells (P < 0.05). MiR-30a-5p was downregulated in renal cancers and partially reversed HIF1A-AS2 functions in malignant renal tumor cells. HIF1A-AS2 acted as a microRNA sponge that actively regulated the relative expression of SOX4 in sponging miR-30a-5p and subsequently increased the malignant phenotypes of renal carcinomas. HIF1A-AS2 showed a carcinogenic effect and miR-30a-5p acted as an antagonist of the anti-oncogene effects in the pathogenesis of renal carcinomas. Conclusions:The HIF1A-AS2-miR-30a-5p-SOX4 axis was associated with the malignant progression and development of renal carcinoma. The relative expression of HIF1A-AS2 was negatively correlated with the expression of miR-30a-5p, and was closely correlated with SOX4 mRNA levels in renal cancers.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

LncRNA HIF1A-AS2 accelerates malignant phenotypes of renal carcinoma by modulating miR-30a-5p/SOX4 axis as a ceRNA

et al. 2021

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“…These highly competitive interactions that constitute a conservative and cancer-specific module [ 44 ]. Chu Y et al also found that lncRNA perturbed TLR signaling network performance can serve as a new lncRNA prognostic biomarker in colorectal cancer [ 45 ].…”

Section: Discussionmentioning

confidence: 99%

Comprehensive analysis of lncRNA biomarkers in kidney renal clear cell carcinoma by lncRNA-mediated ceRNA network

et al. 2021

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Introduction Kidney renal clear cell carcinoma (KIRC) has a high incidence globally, and its pathogenesis remains unclear. Long non-coding RNA (lncRNA), as a molecular sponge, participates in the regulation of competitive endogenous RNA (ceRNA). We aimed to construct a ceRNA network and screened out possible lncRNAs to predict KIRC prognosis. Material and methods All KIRC data were downloaded from the TCGA database and screened to find the possible target lncRNA; a ceRNA network was designed. Next, GO functional enrichment and KEGG pathway of differentially expressed mRNA related to lncRNA were performed. We used Kaplan-Meier curve analysis to predict the survival of these RNAs. We used Cox regression analysis to construct a model to predict KIRC prognosis. Results In the KIRC datasets, 1457 lncRNA, 54 miRNA and 2307 mRNA were screened out. The constructed ceRNA network contained 81 lncRNAs, nine miRNAs, and 17 mRNAs differentially expressed in KIRC. Survival analysis of all differentially expressed RNAs showed that 21 lncRNAs, four miRNAs, and two mRNAs were related to the overall survival rate. Cox regression analysis was performed again, and we found that eight lncRNAs were related to prognosis and used to construct predictive models. Three lnRNAs from independent samples were meaningful. Conclusion The construction of ceRNA network was involved in the process and transfer of KIRC, and three lncRNAs may be potential targets for predicting KIRC prognosis.

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“…Recent studies have provided evidence that several lncRNAs are involved in HDAC and TLR signaling and cancer pathways. Liu et al identified TLR-related lncRNAs, AP000696.1, LINC00689, LINC00900, and AP000487.1, that are associated with the overall survival of esophageal carcinoma [ 130 ], and Chu et al also reported three lncRNAs (MCHR2, AC011472.4, and AC063944.1) that regulate TLR signaling [ 131 ]. Moreover, the involvement of lncRNA H19 [ 132 ] and NEAT1 [ 127 ] in HDAC activity has been reported in association with cancer.…”

Section: Discussionmentioning

confidence: 99%

Epigenetic Mechanisms of LncRNAs Binding to Protein in Carcinogenesis

Shin

Lee

Cho

2020

Cancers

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Epigenetic dysregulation is an important feature for cancer initiation and progression. Long non-coding RNAs (lncRNAs) are transcripts that stably present as RNA forms with no translated protein and have lengths larger than 200 nucleotides. LncRNA can epigenetically regulate either oncogenes or tumor suppressor genes. Nowadays, the combined research of lncRNA plus protein analysis is gaining more attention. LncRNA controls gene expression directly by binding to transcription factors of target genes and indirectly by complexing with other proteins to bind to target proteins and cause protein degradation, reduced protein stability, or interference with the binding of other proteins. Various studies have indicated that lncRNA contributes to cancer development by modulating genes epigenetically and studies have been done to determine which proteins are combined with lncRNA and contribute to cancer development. In this review, we look in depth at the epigenetic regulatory function of lncRNAs that are capable of complexing with other proteins in cancer development.

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Characterization of lncRNA-Perturbed TLR-Signaling Network Identifies Novel lncRNA Prognostic Biomarkers in Colorectal Cancer

Cited by 13 publications

References 33 publications

LncRNA HIF1A-AS2 accelerates malignant phenotypes of renal carcinoma by modulating miR-30a-5p/SOX4 axis as a ceRNA

LncRNA HIF1A-AS2 accelerates malignant phenotypes of renal carcinoma by modulating miR-30a-5p/SOX4 axis as a ceRNA

Comprehensive analysis of lncRNA biomarkers in kidney renal clear cell carcinoma by lncRNA-mediated ceRNA network

Epigenetic Mechanisms of LncRNAs Binding to Protein in Carcinogenesis

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