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U3 snoRNA is essential for ribosome biogenesis during interphase. Upon mitotic onset, the nucleolus disassembles and U3 snoRNA relocates to the perichromosomal region (PR) to be considered as a chromosome passenger. Whether U3 controls mitosis remains unknown. Here, we demonstrate that U3 snoRNA is required for mitotic progression. We identified DDX21 as the predominant U3-binding protein during mitosis and confirmed that U3 snoRNA colocalizes with DDX21 in the PR. DDX21 knockdown induces mitotic catastrophe and similar mitotic defects caused by U3 snoRNA depletion. Interestingly, the uniform PR distribution of U3 snoRNA and DDX21 is interdependent. DDX21 functions in mitosis depending on its PR localization. Mechanistically, U3 snoRNA regulates DDX21 PR localization through maintaining its mobility. Moreover, Cy5-U3 snoRNA downsizes the fibrous condensates of His-DDX21 at proper molecular ratios in vitro. This work highlights the importance of the equilibrium between U3 snoRNA and DDX21 in PR formation and reveals the potential relationship between the PR assembly and mitotic regulation.
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RNA Helicases DEAD-box , Mitose , RNA Nucleolar Pequeno , Humanos , RNA Helicases DEAD-box/metabolismo , RNA Helicases DEAD-box/genética , Células HeLa , RNA Nucleolar Pequeno/metabolismo , RNA Nucleolar Pequeno/genética , Cromossomos/metabolismoRESUMO
Ferroptosis is an emerging form of non-apoptotic regulated cell death which is different from cell death mechanisms such as autophagy, apoptosis and necrosis. It is characterized by iron-dependent lipid peroxide accumulation. Circular RNA (circRNA) is a newly studied evolutionarily conserved type of non-coding RNA with a covalent closed-loop structure. It exhibits universality, conservatism, stability and particularity. At present, the functions that have been studied and found include microRNA sponge, protein scaffold, transcription regulation, translation and production of peptides, etc. CircRNA can be used as a biomarker of tumors and is a hotspot in RNA biology research. Studies have shown that ferroptosis can participate in tumor regulation through the circRNA molecular pathway and then affect cancer progression, which may become a direction of cancer diagnosis and treatment in the future. This paper reviews the molecular biological mechanism of ferroptosis and the role of circular RNA in tumors and summarizes the circRNA related to ferroptosis in tumors, which may inspire research prospects for the precise prevention and treatment of cancer in the future.
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Purpose: Long noncoding RNAs (LncRNAs) play complex but important roles in the progression of various tumors. This study aimed to elucidate the functional mechanisms of the HLA complex group 11 (HCG11) in nasopharyngeal carcinoma (NPC). Patients and Methods: HCG11 levels in NPC specimens were determined by fluorescence in situ hybridization (FISH) and qPCR. Proliferation, apoptosis, and metastasis of NPC cells were determined using CCK8, colony formation, annexin V-PI, and transwell assays. A murine tumor xenograft model was used to investigate the regulatory function of HCG11 in NPC in vivo, and immunohistochemical staining was used to determine the Ki-67 level in tumors. The target relationships between HCG11, microRNA miR-490-3p, and MAPK kinase kinase 9 (MAP3K9) were detected using bioinformatics, qPCR, western blotting, and luciferase reporter assays. Results: HCG11 was highly expressed in NPC tissues and was positively associated with tumor stage, lymphatic metastasis, and poor prognosis. Functionally, HCG11 knockdown inhibited proliferation and migration and induced apoptosis of NPC cells. Mechanistically, miR-490-3p is a direct target of HCG11, oncogenic functions of HCG11 in NPC cell proliferation and migration can be partially reversed by the miR-490-3p inhibitor. HCG11 significantly increased mitogen-activated protein kinase MAPK kinase 9 (MAP3K9) levels by inhibiting miR-490-3p. Conclusion: HCG11 facilitates NPC progression via MAP3K9 signaling by sponging miRNA-490-3p, which may contribute to new prognostic markers and promising therapeutic targets.
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BACKGROUND: TP53 is an important tumor suppressor gene on human 17th chromosome with its mutations more than 60% in tumor cells. Lung cancer is the highest incidence malignancy in men around the world. N-6 methylase (m6A) is an enzyme that plays an important role in mRNA splicing, translation, and stabilization. However, its role in TP53-mutant non-small-cell lung cancer (NSCLC) remains unknown. METHOD: First, we investigated 17 common m6A regulators' prognostic values in NSCLC. Then, after the establishment of risk signature, we explored the diagnostic value of m6A in TP53-mutant NSCLC. Finally, gene set enrichment analysis (GSEA), gene ontology (GO) enrichment analysis, and differential expression analysis were used to reveal the possible mechanism of m6A regulators affecting TP53-mutant NSCLC patients. RESULTS: Study showed that nine m6A regulators (YTHDC2, METTL14, FTO, METTL16, YTHDF1, HNRNPA2B1, RBM15, KIAA1429, and WTAP) were expressed differently between TP53-mutant and wild-type NSCLC (p < 0.05); and ALKBH5 and HNRNPA2B1 were associated with the prognostic of TP53-mutant patients. After construction of the risk signature combined ALKBH5 and HNRNPA2B1, we divided patients with TP53 mutations into high- and low-risk groups, and there was a significant survival difference between two groups. Finally, 338 differentially expression genes (DEGs) were found between high- and low-risk groups. GO enrichment analysis, PPI network, and GSEA enrichment analysis showed that m6A may affect the immune environment in extracellular and change the stability of mRNA. CONCLUSION: In conclusion, m6A regulators can be used as prognostic predictors in TP53-mutant patients.
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Metiltransferases/genética , Proteína Supressora de Tumor p53/genética , Carcinoma Pulmonar de Células não Pequenas/diagnóstico , Carcinoma Pulmonar de Células não Pequenas/genética , Carcinoma Pulmonar de Células não Pequenas/metabolismo , Carcinoma Pulmonar de Células não Pequenas/mortalidade , Biologia Computacional , Humanos , Neoplasias Pulmonares/diagnóstico , Neoplasias Pulmonares/genética , Neoplasias Pulmonares/metabolismo , Neoplasias Pulmonares/mortalidade , Metilação , Mutação/genética , PrognósticoRESUMO
BACKGROUND: Long non-coding RNAs (lncRNAs) have been verified to play fatal role in regulating the progression of lung adenocarcinoma (LUAD). Although lncRNAs play important role in regulating the autophagy of tumor cells, the function and molecular mechanism of LINC01559 in regulating lung cancer development remain to be elucidated. METHOD AND MATERIALS: In this study, we used bioinformatics to screen out autophagy-related lncRNAs from TCGA-LUAD repository. Then the least absolute shrinkage and selection operator (LASSO) regression was applied to establish the signature of autophagy-related lncRNAs so that clinical characteristics and survival in LUAD patients be evaluated. Finally, we selected the most significant differences lncRNA, LINC01559, to verify its function in regulating LUAD progression in vitro. RESULTS: We found high expression of LINC01559 indicates lymph node metastasis and poor prognosis. Besides, LINC01559 promotes lung cancer cell proliferation and migration in vitro, by enhancing autophagy signal pathway via sponging hsa-miR-1343-3p. CONCLUSION: We revealed a novel prognostic model based on autophagy-related lncRNAs, and provide a new therapeutic target and for patients with lung adenocarcinoma named LINC01559.
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BACKGROUND: N-6 methylation (m6A) pushes forward an immense influence on the occurrence and development of lung adenocarcinoma (LUAD). However, the methylation on non-coding RNA in LUAD, especially long non-coding RNA (lncRNA), has not been received sufficient attention. METHODS: Spearman correlation analysis was used to screen lncRNA correlated with m6A regulators expression from the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) repositories, respectively. Then, the least absolute shrinkage and selection operator (LASSO) was applied to build a risk signature consisting m6A-related lncRNA. Univariate and multivariate independent prognostic analysis were applied to evaluate the performance of signature in predicting patients' survival. Next, we applied Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and gene set enrichment analysis (GSEA) to conduct pathway enrichment analysis of 3344 different expression genes (DEGs). Finally, we set up a competing endogenous RNAs (ceRNA) network to this lncRNA. RESULTS: A total of 85 common lncRNAs were selected to acquire the components related to prognosis. The final risk signature established by LASSO regression contained 11 lncRNAs: ARHGEF26-AS1, COLCA1, CRNDE, DLGAP1-AS2, FENDRR, LINC00968, TMPO-AS1, TRG-AS1, MGC32805, RPARP-AS1, and TBX5-AS1. M6A-related lncRNA risk score could predict the prognostic of LUAD and was significantly associated with clinical pathological. And in the evaluation of lung adenocarcinoma tumor microenvironment (TME) by using ESTIMATE algorithm, we found a statistically significant correlation between risk score and stromal/immune cells. CONCLUSION: M6A-related lncRNA was a potential prognostic and therapy target for lung adenocarcinoma.
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Adenocarcinoma de Pulmão , Adenosina/análogos & derivados , Neoplasias Pulmonares , RNA Longo não Codificante , Microambiente Tumoral/genética , Adenocarcinoma de Pulmão/genética , Adenocarcinoma de Pulmão/metabolismo , Adenocarcinoma de Pulmão/patologia , Adenosina/química , Adenosina/genética , Adenosina/metabolismo , Idoso , Biologia Computacional , Metilação de DNA/genética , Feminino , Humanos , Neoplasias Pulmonares/genética , Neoplasias Pulmonares/metabolismo , Neoplasias Pulmonares/patologia , Masculino , Pessoa de Meia-Idade , RNA Longo não Codificante/química , RNA Longo não Codificante/genética , RNA Longo não Codificante/metabolismo , Transcriptoma/genéticaRESUMO
OBJECTIVE: The purpose of this study was to evaluate the predictive power of the platelet to albumin ratio (PAR) on survival outcomes of patients with non-small-cell lung cancer (NSCLC). PATIENTS AND METHODS: In all, 198 patients with NSCLC were recruited. The X-tile software was performed to identify the optimal cutoff values for PAR, platelet to lymphocyte ratio (PLR), and neutrophil to lymphocyte ratio (NLR). The Kaplan-Meier method, univariate and multivariate analyses Cox regression were used to analyze the prognostic factors for overall survival (OS). RESULTS: In all, 198 patients were enrolled, containing 146 (73.7%) men and 52 (26.3%) women. The optimal cutoff values for PAR, PLR, and NLR were 8.8×109, 147.7, and 3.9, respectively. Patients with PAR > 8.8 × 109 (P <0.001), PLR > 147.7 (P <0.001), and NLR >3.9 (P = 0.007) were associated with poor OS. Multivariate analyses found that PAR was an independent predictor in NSCLC patients (hazard ratio [HR]: 4.604, 95% confidence interval [CI]: 2.557-8.290, P <0.001). CONCLUSION: Preoperative PAR is a useful and potential prognostic biomarker in NSCLC patients who have received primary resection.