Long non-coding RNAs involved in cancer metabolic reprogramming

Liu, Hui; Luo, Junyun; Luan, Siyu; He, Chongsheng; Li, Zhaoyong

doi:10.1007/s00018-018-2946-1

Cited by 74 publications

(63 citation statements)

References 83 publications

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“…To understand and identify potential therapeutic targets in GBM, we explored the mechanisms underlying the pathogenesis of GBM in this study. Several recent studies have shown that lncRNAs play an important role in the pathological processes of tumors, 19,20 but few reports have focused on the expression profiles of lncRNAs in GBM.…”

Section: Discussionmentioning

confidence: 99%

Construction of lncRNA‐associated ceRNA networks to identify prognostic lncRNA biomarkers for glioblastoma

Liu

Wang

Yang

et al. 2020

J of Cellular Biochemistry

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Long noncoding RNAs (lncRNAs) serve as competitive endogenous RNAs (ceRNAs) that play significant regulatory roles in the pathogenesis of tumors. However, the role of lncRNAs, especially the lncRNA-related ceRNA regulatory network, in glioblastoma (GBM) has not been fully elucidated. The goal of the current study was to construct lncRNA-microRNA-mRNA-related ceRNA networks for further investigation of their mechanism of action in GBM. We downloaded data from The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) databases and identified differential lncRNAs, microRNAs (miRNAs), and messenger RNAs (mRNAs) associated with GBM. A ceRNA network was constructed and analyzed to examine the relationship between lncRNAs and patients' overall survival. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGGs) were used to analyze the related mRNAs to indirectly explain the mechanism of action of lncRNAs. The potential effective drugs for the treatment of GBM were identified using the connectivity map (CMap). After integrated analysis, we obtained a total of 210 differentially expressed lncRNAs, 90 differentially expressed miRNAs, and 2508 differentially expressed mRNAs (DEmRNAs) from the TCGA and GEO databases. Using these differential genes, we constructed a lncRNA-associated ceRNA network. Six lncRNAs in the ceRNA network were associated with the overall survival of patients with GBM. Through KEGG analysis, it was found that the DEmRNAs involved in the network are related to cancer-associated pathways, for instance, mitogen-activated protein kinase and Ras signaling pathways. CMap analysis revealed four small-molecule compounds that could be used as drugs for the treatment of GBM. In this study, a multi-database joint analysis was used to construct a lncRNA-related ceRNA network to help identify the regulatory functions of lncRNAs in the pathogenesis of GBM.

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Section: Discussionmentioning

confidence: 99%

Construction of lncRNA‐associated ceRNA networks to identify prognostic lncRNA biomarkers for glioblastoma

Liu

Wang

Yang

et al. 2020

J of Cellular Biochemistry

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“…Enhanced aerobic glycolysis is a striking feature of ESCC which relays upon the glycolytic pathway for their energy needs [25][26][27]. Moreover, increasing data have revealed that lncRNAs modulate tumor invasion and metastasis by affecting the aerobic glycolysis [28]. Thus, as important and extensive regulators of the aerobic glycolysis, lncRNAs might be suitable candidates for ESCC diagnosis and treatment.…”

Section: Discussionmentioning

confidence: 99%

LncRNA FAM83H-AS1 Promotes Aerobic Glycolysis and Tumor Progression by Regulating miR-4684-5p/ZBTB38 Axis in Esophageal Squamous Cell Carcinoma

Qian

Chen

et al. 2020

Preprint

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Background: Dysregulation of lncRNAs is implicated in esophageal squamous cell carcinoma (ESCC) progression; However, the precise function of lncRNA FAM83H-AS1 in ESCC remains unknown. Methods: FAM83H-AS1, miR-4684-5p and ZBTB38 mRNA expressions were detected via qRT-PCR. ZBTB38, GLUT1 and LDH-A protein expressions were tested via Western blot. Cell proliferation, migration and invasion were evaluated via CCK-8 and transwell assay, respectively. A nude mouse xenograft model was used to investigate the role of FAM83H-AS1 in xenograft ESCC growth. The metabolic shift in ESCC cells was examined via glycolysis analysis. The interaction between FAM83H-AS1, miR-4684-5p and ZBTB38 was analyzed via computational algorithms, RNA pull-down, RIP and dual luciferase reporter assay. Results: We found that FAM83H-AS1 was upmodulated in ESCC cell lines. FAM83H-AS1 knockdown hampered ESCC cell proliferation, migration, invasion and aerobic glycolysis, while FAM83H-AS1 overexpression demonstrated the opposite effects. FAM83H-AS1 knockdown also delayed the tumor growth in vivo. Moreover, FAM83H-AS1 interacted with miR-4684-5p/ZBTB38 axis in ESCC cells. ZBTB38 overexpression or miR-4684-5p inhibition partially reversed the inhibitory effect of FAM83H-AS1 knockdown on cell migration, invasion and aerobic glycolysis in ESCC cells. Conclusion: Our present results indicate FAM83H-AS1 accelerated aerobic glycolysis and tumorigenesis of ESCC by sponging miR-4684-5p and triggering the expression of ZBTB38, providing new insights into mechanism of ESCC progression and therapeutic strategy.

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“…The lncRNAs are commonly found to be altered in several types of cancer, affecting different hallmarks, including metabolic reprogramming. lncRNAs have been implicated in glutamine uptake, an important energy source of the cancer cell that maintains survival and proliferation, although the precise mechanisms of lncRNAs controlling this cellular process remain unclear [120].…”

Section: The Role Of Lncrnas In the Regulation Of Glutaminolysis In Cmentioning

confidence: 99%

Non-Coding RNAs as Key Regulators of Glutaminolysis in Cancer

Ortiz-Pedraza

Muñoz-Bello

Olmedo-Nieva

et al. 2020

IJMS

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Cancer cells exhibit exacerbated metabolic activity to maintain their accelerated proliferation and microenvironmental adaptation in order to survive under nutrient-deficient conditions. Tumors display an increase in glycolysis, glutaminolysis and fatty acid biosynthesis, which provide their energy source. Glutamine is critical for fundamental cellular processes, where intermediate metabolites produced through glutaminolysis are necessary for the maintenance of mitochondrial metabolism. These include antioxidants to remove reactive oxygen species, and the generation of the nonessential amino acids, purines, pyrimidines and fatty acids required for cellular replication and the activation of cell signaling. Some cancer cells are highly dependent on glutamine consumption since its catabolism provides an anaplerotic pathway to feed the Krebs cycle. Intermediate members of the glutaminolysis pathway have been found to be deregulated in several types of cancers and have been proposed as therapeutic targets and prognostic biomarkers. This review summarizes the main players in the glutaminolysis pathway, how they have been found to be deregulated in cancer and their implications for cancer maintenance. Furthermore, non-coding RNAs are now recognized as new participants in the regulation of glutaminolysis; therefore, their involvement in glutamine metabolism in cancer is discussed in detail.Int. J. Mol. Sci. 2020, 21, 2872 2 of 26 an increased glucose consumption in relation to normal differentiated tissues. Now we know that glutamine metabolism is as important as glucose metabolism for the production of macromolecules in cancer [1].Glutamine is an abundant amino acid involved in energy production, homeostasis in pro/antioxidant species and the activation of signaling pathways in cancer. In addition to the antioxidant glutathione (GSH), nucleotides, lipids and amino acids are formed from glutamine metabolism. All of these are needed for many metabolic functions such as growth, proliferation, cell survival and defense against oxidative stress [2]. Glutamine contributes, with reduced nitrogen, to the de novo biosynthesis of diverse nitrogen-containing compounds, such as purine and pyrimidine nucleotides, glucosamine-6-phosphate and nonessential amino acids.As glutamine is the most abundant amino acid in the blood and muscle tissue, normal proliferating cells use glutamine metabolism as an energy source, mediated by its catabolic products, glutamate and α-ketoglutarate (α-kG), the latter being an intermediate of the tricarboxylic acid cycle (TCA) or Krebs cycle [3]. In 1950, Harry Eagle observed that HeLa tumor cells require an excess of glutamine, in relation to other amino acids in the culture medium, for optimal growth. Furthermore, it has been reported that tumors consume glutamine faster than the surrounding normal tissue [4]. Moreover, most cancer cells are dependent on glutamine being unable to survive under glutamine starvation, an effect that has been termed glutamine addiction [5]. Various types of cancers are high...

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Long non-coding RNAs involved in cancer metabolic reprogramming

Cited by 74 publications

References 83 publications

Construction of lncRNA‐associated ceRNA networks to identify prognostic lncRNA biomarkers for glioblastoma

Construction of lncRNA‐associated ceRNA networks to identify prognostic lncRNA biomarkers for glioblastoma

LncRNA FAM83H-AS1 Promotes Aerobic Glycolysis and Tumor Progression by Regulating miR-4684-5p/ZBTB38 Axis in Esophageal Squamous Cell Carcinoma

Non-Coding RNAs as Key Regulators of Glutaminolysis in Cancer

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