RuvBL1 Maintains Resistance to TRAIL-Induced Apoptosis by Suppressing c-Jun/AP-1 Activity in Non-Small Cell Lung Cancer

Li, Hao; Zhou, Taoran; Zhang, Yue; Jiang, Hengyi; Zhang, Jing; Zhang, Hua

doi:10.3389/fonc.2021.679243

Cited by 5 publications

(4 citation statements)

References 34 publications

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“…In our study, 5‐Fu treatment‐induced RUVBL1 upregulation, which was reversed by EIF3D silencing, implying the involvement of RUVBL1 upregulation in EIF3D‐caused 5‐Fu resistance, and this involvement was investigated through overexpressing RUVBL1. The study of Li has discovered that RUVBL1 maintains resistance to tumor necrosis factor‐related apoptosis‐inducing ligand (TRAIL)‐induced apoptosis in non‐small‐cell lung cancer 47 . Similar to this role of RUVBL1 in resistance to apoptosis, our results identified that RUVBL1 overexpression notably offsets EIF3D silencing‐caused potentiation on 5‐Fu‐induced viability decrease and apoptosis promotion.…”

Section: Discussionsupporting

confidence: 78%

“…The study of Li has discovered that RUVBL1 maintains resistance to tumor necrosis factor‐related apoptosis‐inducing ligand (TRAIL)‐induced apoptosis in non‐small‐cell lung cancer. 47 Similar to this role of RUVBL1 in resistance to apoptosis, our results identified that RUVBL1 overexpression notably offsets EIF3D silencing‐caused potentiation on 5‐Fu‐induced viability decrease and apoptosis promotion. Besides, we observed that 5‐Fu treatment had no impact on eIF4E expression.…”

Section: Discussionsupporting

confidence: 78%

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EIF3D promotes resistance to 5‐fluorouracil in colorectal cancer through upregulating RUVBL1

Yang

et al. 2023

Clinical Laboratory Analysis

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Background As EIF3D is oncogenic in colorectal cancer (CRC) and is associated with multidrug resistance, this study aims to investigate whether and how EIF3D regulates resistance to 5‐fluorouracil (5‐Fu) in CRC. Methods EIF3D‐associated genes in CRC were predicted using bioinformatics tools. CRC cells and nude mice received 5‐Fu treatment. Then, the impacts of EIF3D and the interaction between EIF3D and RUVBL1 on cell viability, colony formation, apoptosis, and DNA damage were detected through MTT, colony formation, flow cytometry, and immunofluorescence assays, and those on in vivo tumorigenesis through murine xenograft assay. IC50 value of 5‐Fu for CRC cells was determined by probit regression analysis. Expressions of EIF3D, eIF4E, EIF3D‐associated genes, γH2AX, Bcl‐2, Bax, and Cleaved Caspase‐3/Caspase‐3 in CRC tissues, cells, and/or xenograft tumors were analyzed by qRT‐PCR and/or Western blot. Results EIF3D and RUVBL1 were highly expressed and positively correlated with CRC tissues/cells. In CRC cells, except for eIF4E, both EIF3D and RUVBL1 levels were upregulated by 5‐Fu treatment; in addition to that, RUVBL1 level was downregulated by EIF3D silencing rather than eIF4E. Meanwhile, EIF3D silencing diminished IC50 value of 5‐Fu and potentiated 5‐Fu‐induced viability decrease, colony formation inhibition, apoptosis promotion, Bcl‐2 downregulation, and γH2AX, Bax, and Cleaved Caspase‐3/Caspase‐3 upregulation but reversed 5‐Fu‐triggered RUVBL1 upregulation. RUVBL1 overexpression offsets EIF3D silencing‐induced viability decrease and apoptosis promotion of 5‐Fu‐treated CRC cells, and tumorigenesis suppression and apoptosis promotion in 5‐Fu‐treated mice. Conclusion EIF3D promotes resistance to 5‐Fu in CRC through upregulating RUVBL1 level.

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Section: Discussionsupporting

confidence: 78%

Section: Discussionsupporting

confidence: 78%

EIF3D promotes resistance to 5‐fluorouracil in colorectal cancer through upregulating RUVBL1

Yang

et al. 2023

Clinical Laboratory Analysis

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“…To our knowledge, less than 30 articles have checked the significance of NMP in NSCLC, and only four studies focused on HNRNPU or RUVBL1 [ 18 – 21 ]. All of these studies provided mechanistic evidence of the biological importance of HNRNPU or RUVBL1 in NSCLC in vitro models; however, only one investigated possible associations with patients’ survival in tumoral material [ 19 ]. No study approached this issue in clinical material based on protein levels.…”

Section: Introductionmentioning

confidence: 99%

High expression of RUVBL1 and HNRNPU is associated with poor overall survival in stage I and II non-small cell lung cancer patients

Durślewicz

Jóźwicki

Klimaszewska‐Wiśniewska

et al. 2022

Discov Onc

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The present study aimed to investigate expression levels and prognostic significance of RUVBL1 and HNRNPU in stage I and II non–small-cell lung cancer (NSCLC) patients. Therefore, we evaluated immunohistochemical staining of RUVBL1 and HNRNPU, as well as RNA-seq data from public sources, and the results were evaluated concerning overall survival (OS) and clinicopathological features. We found that RUVBL1 and HNRNPU proteins and mRNA levels were higher in tumor tissues as compared to adjacent/normal tissues. RUVBL1 (p = 0.013) and HNRNPU (p = 0.021) high protein levels were independent prognostic factors for poor OS. Also, the multivariate analysis in the TCGA dataset revealed that high RUVBL1 (p = 0.064) and HNRNPU (p = 0.181) mRNA levels were not significantly associated with prognosis. However, the co-expression status of these markers (R + H +) was independently associated with poor OS both in the TCGA dataset (p = 0.027) and in our cohort (p = 0.001). In conclusion, combined and individual expression of RUVBL1 and HNRNPU proteins, as well as R + H + mRNA status, may serve as potential prognostic biomarkers for NSCLC. This study adds to the previous observations that RUVBL1 and HNRNPU might be novel and promising therapeutic targets and markers for prognostic evaluation.

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“…RUVBL1, or RuvB-like AAA ATPase 1, has been associated with poor prognosis and a higher relapse rate in patients with diffuse large B-cell lymphoma (17). In addition, high expression of RuvBL1 in lung cancer was associated with a poor overall prognosis (18). NREP, or neuronal regeneration related protein, may be involved in neural function, including the promotion of axonal regeneration.…”

Section: Discussionmentioning

confidence: 99%

Potential effects of POLR2H and DYNC1I2 on the immunity and prognosis of neuroblastoma

Lü

et al. 2022

Preprint

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Objective The present study utilized bioinformatics techniques and data from the GEO, TARGET, and ArrayExpress databases to compare gene expression in INSS4 and INSS1 neuroblastomas (NBs), thereby identifying metabolites with different levels of expression and predicting the prognosis of patients with NB. METHODS Genes of patients with INSS4 and INSS1 NBs from the GEO database were screened, with those having ཛྷlog2fold change (FC)ཛྷ>3 and adjusted P < 0.05 defined as being differentially expressed. These differentially expressed genes (DEGs) were screened to obtain clinical data and RNA sequence datasets from NB patients in the TARGET database. Univariate Cox proportional hazards regression analysis identified prognosis-related genes, which were incorporated into a prognosis model. Based on median risk scores, these patients were divided into high and low-risk groups. Their survival rates were compared, and ROC curves were used to analyze predictive values for NB. NB patients were also divided into two clusters by consensus clustering based on levels of POLR2H and DYNC1I2 expression. Immune infiltration analyses were performed using GSEA, ESTIMATE, CIBERSORT, and ssGSEA. Tumor tissue of 17 NB patients was used for experimental verification and their survival was compared. Result Analysis of three datasets identified 62 up-regulated genes and 163 down-regulated genes. The prognostic model predicted that the areas under the 3-year and 5-year survival curves were 0.786 and 0.817, respectively. Levels of expression of POLR2H and DYNC1I2 accounted for the highest percentage of risk scores and were included in follow-up analysis. Samples were consistently clustered according to their expression matrix. POLR2H was more highly expressed in cluster 2, whereas DYNC1I2 was more highly expressed in cluster 1. The survival rate of cluster 1 was significantly higher than that of cluster 2. Experimental verification in 17 NB patients showed that these patients could also be divided into two groups, which differed significantly in mortality hazard ratio (HR 9.37 P < 0.05). Conclusion The expression of POLR2H and DYNC1I2 affects the immune microenvironment of NB and can affect patient prognosis. These factors can be used to refine clinical groupings, guide personalized treatment, and suggest new methods for the diagnosis and treatment of NB.

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RuvBL1 Maintains Resistance to TRAIL-Induced Apoptosis by Suppressing c-Jun/AP-1 Activity in Non-Small Cell Lung Cancer

Cited by 5 publications

References 34 publications

EIF3D promotes resistance to 5‐fluorouracil in colorectal cancer through upregulating RUVBL1

EIF3D promotes resistance to 5‐fluorouracil in colorectal cancer through upregulating RUVBL1

High expression of RUVBL1 and HNRNPU is associated with poor overall survival in stage I and II non-small cell lung cancer patients

Potential effects of POLR2H and DYNC1I2 on the immunity and prognosis of neuroblastoma

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